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Content
2025
- 1-5 Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Maude J. Blondin & Iztok Fister Jr. & Panos M. Pardalos
- 1-13 On the Morphism 1 → 121 $$1 \to 121$$ , 2 → 12221 $$2 \to 12221$$
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Jean-Paul Allouche
- 1-16 Route Sequence Prediction Through Inverse Reinforcement Learning and Bayesian Optimization
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Anselmo R. Pitombeira-Neto
- 1-21 Introduction to Renewable Energy Resources and Sustainable Feedstocks for Biodiesel
In: Biofuel Production, Performance, and Emission Optimization
by Manjunath Patel G. C. & Ajith B. S. & Jagadish & Arun Kumar Shettigar & Olusegun David Samuel
- 1-21 Preliminaries
In: Interval Linear Programming and Extensions
by Milan Hladík
- 3-19 The Life Path and Scientific Career of Academician Professor Gradimir V. Milovanović
by Miodrag M. Spalević & Marija P. Stanić
- 3-38 Trustworthiness, Privacy, and Security in Federated Learning
In: Handbook of Trustworthy Federated Learning
by Sisi Zhou & Lijun Xiao & Yufeng Xiao & Meikang Qiu
- 7-49 Machine Learning for Soccer Match Result Prediction
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Rory Bunker & Calvin Yeung & Keisuke Fujii
- 15-31 Polynomials and Combinatorial Identities
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Horst Alzer
- 17-36 A Comparative Evaluation of Monolithic and Microservice Architectures for Load Profiling Services in Smart Grids
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Artur F. S. Veloso & José V. R. Júnior & Matheus M. do N. Costa & Ricardo A. L. Rabelo & Placido R. Pinheiro
- 23-56 Shift-Invariant Subspaces of Sobolev Spaces and Shift-Preserving Operators
by Aleksandar Aksentijević & Suzana Aleksić & Stevan Pilipović
- 23-70 Studies on Oil Extraction, Biodiesel Production Methods, and Engine Performance and Emission Characteristics
In: Biofuel Production, Performance, and Emission Optimization
by Manjunath Patel G. C. & Ajith B. S. & Jagadish & Arun Kumar Shettigar & Olusegun David Samuel
- 25-43 Introduction
In: Interval Linear Programming and Extensions
by Milan Hladík
- 33-50 Rainbow Greedy Matching Algorithms
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Patrick Bennett & Colin Cooper & Alan Frieze
- 37-68 Heuristics for the Problem of Consolidating Orders into Vehicle Shipments with Compatible Categories and Freight Based on the Direct Distances to the Farthest Customers
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Renan Sallai Iwayama & Claudio B. Cunha
- 39-71 Secure Federated Learning
In: Handbook of Trustworthy Federated Learning
by Bo Tang & Xingyu Li
- 45-74 Interval Systems of Linear Equations
In: Interval Linear Programming and Extensions
by Milan Hladík
- 51-80 Predictive Models of Non-Performing Loans: The Case of Greece
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by A. Donatou & M. Stefanakos & K. Pappas & J. Leventides
- 51-89 Machine Learning for the Prediction of the Index of Effectiveness in Cycling
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by A. Torres & M. A. Yepez & G. Millour & F. Nougarou & F. Domingue
- 57-69 Multicriteria Model with a Dominant Criterion in Satisfaction and Non-Satisfaction
by Miloljub Albijanić & Miodrag M. Žižović & Dragan Pamučar & Mališa R. Žižović
- 69-91 Mathematical Models and Algorithms for Large-Scale Transportation Problems
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 71-87 Enhanced Averaged Quadrature Rules with Application to Error Estimation
by Hanan Almutairi & Dušan Lj. Djukić & Rada M. Mutavdžić Djukić & Miroslav S. Pranić & Lothar Reichel & Miodrag M. Spalević
- 71-141 Experimentation, Modelling, and Analysis of Biodiesel Conversion and Their Engine Performance and Emission Characteristics
In: Biofuel Production, Performance, and Emission Optimization
by Manjunath Patel G. C. & Ajith B. S. & Jagadish & Arun Kumar Shettigar & Olusegun David Samuel
- 73-108 Data Poisoning and Leakage Analysis in Federated Learning
In: Handbook of Trustworthy Federated Learning
by Wenqi Wei & Tiansheng Huang & Zachary Yahn & Anoop Singhal & Margaret Loper & Ling Liu
- 75-102 General Interval Linear Systems
In: Interval Linear Programming and Extensions
by Milan Hladík
- 81-89 The Cost of Detection in Interaction Testing
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Ryan E. Dougherty
- 89-104 A Curious Hypergeometric Identity and Perfectness of Meixner–Sorokin System of Weights
by Alexander I. Aptekarev & Alexander V. Dyachenko & Vladimir G. Lysov
- 91-103 On the Study of Cycle Chains Representing Non-reversible Markov Chains Associated with Random Walks with Jumps in Fixed Environments
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Chrysoula Ganatsiou & Ilias K. Savvas & Apostolos Xenakis
- 91-148 Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Carlo Dindorf & Fabian Horst & Djordje Slijepčević & Bernhard Dumphart & Jonas Dully & Matthias Zeppelzauer & Brian Horsak & Michael Fröhlich
- 93-106 Optimization Methods for Multicast Routing Problems
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 105-112 Introduction to Interval Linear Programming
In: Interval Linear Programming and Extensions
by Milan Hladík
- 105-113 On Reverse Triangle Inequality and Some of Its Applications
by Ivan D. Arand-elović
- 105-116 Applying Distance Measures for Discrete Data
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Christos Kitsos & Stavros Fatouros
- 107-122 An Introduction to AI and Routing Problems in Mobile Telephony
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 109-147 Robust Federated Learning Against Targeted Attackers Using Model Updates Correlation
In: Handbook of Trustworthy Federated Learning
by Priyesh Ranjan & Ashish Gupta & Sajal K. Das
- 113-147 Optimal Value Range
In: Interval Linear Programming and Extensions
by Milan Hladík
- 115-133 Classical Karamata Theory of Regular Variability and the Index Function Operator
by Danica Fatić & Dragan Djurčić
- 117-134 Demand Aggregation and Mid-Term Energy Planning Problem on the Business Layer
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Maria Livada & Evangelos Melas & Nick C. Poulios
- 123-135 AI Techniques for Combinatorial Optimization
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 135-154 A Note on Laguerre Truncated Polynomials and Quadrature Formula
by Juan C. García-Ardila & Francisco Marcellán
- 135-173 Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Tetiana Parshakova & Trevor Hastie & Eric Darve & Stephen Boyd
- 137-155 Telecommunication Networks and Frequency Assignment Problems
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 143-182 Artificial Intelligence Modelling of Engine Performance and Emission Characteristics
In: Biofuel Production, Performance, and Emission Optimization
by Manjunath Patel G. C. & Ajith B. S. & Jagadish & Arun Kumar Shettigar & Olusegun David Samuel
- 149-162 Basis Stability
In: Interval Linear Programming and Extensions
by Milan Hladík
- 149-168 Unfair Trojan: Targeted Backdoor Attacks Against Model Fairness
In: Handbook of Trustworthy Federated Learning
by Nicholas Furth & Abdallah Khreishah & Guanxiong Liu & NhatHai Phan & Yasser Jararweh
- 149-194 Artificial Intelligence and Machine Learning-Based Data Analytics for Sports: General Overview and NBA Case Study
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Akemi Gálvez & Vei S. Chan & Sara Pérez-Carabaza & Andrés Iglesias
- 155-170 An Optimal Quadrature Formula with Derivative in the Hilbert Space
by Abdullo R. Hayotov & Samandar S. Babaev
- 157-176 The Metaheuristic Strategy for AI Search and Optimization
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 163-187 Optimal Solution Set
In: Interval Linear Programming and Extensions
by Milan Hladík
- 171-193 Dynamics of Operators on the Space of Radon Measures
by Stefan Ivković
- 171-195 Federated Bilevel Optimization
In: Handbook of Trustworthy Federated Learning
by Hongchang Gao
- 175-209 A Code-Based Watermarking Scheme for the Protection of Authenticity of Medical Images
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Iosif Polenakis & Vasileios Vouronikos & Nikolaos Vouronikos & Maria Chroni & Stavros D. Nikolopoulos
- 177-201 GRASP for Assignment Problem in Telecommunications
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Carlos A. S. Oliveira
- 183-210 Optimization of Engine Performance and Emission Characteristics
In: Biofuel Production, Performance, and Emission Optimization
by Manjunath Patel G. C. & Ajith B. S. & Jagadish & Arun Kumar Shettigar & Olusegun David Samuel
- 189-234 Other Issues
In: Interval Linear Programming and Extensions
by Milan Hladík
- 195-209 Error Estimates of Gaussian-type Quadratures—A Survey
by Davorka R. Jandrlić & Aleksandar V. Pejčev & Miodrag M. Spalević
- 195-213 An Ecological Dynamics Approach to the Use of Artificial Intelligence and Machine Learning to Analyze Performance in Football
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Sofia Ferreira & Daniel Carrilho & Duarte Araújo
- 197-219 A Two-Stage Stochastic Programming Approach for the Key Management q-Composite Scheme
In: Handbook of Trustworthy Federated Learning
by Maciej Rysz & Guanglin Xu & Alexander Semenov
- 203-257 Waste Collection: Sectoring, Routing, and Scheduling for Challenging Services
In: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
by Marcos Negreiros & Nelson Maculan & Claudio B. Cunha & Francisco Henrique Viana & Flávio Luis Mello
- 211-221 The Minimum Cost Energy Flow Problem Under Demand Uncertainty. Effect on Optimal Solution, Variability, Worst- and Best-Case Scenarios
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Nick C. Poulios & Evangelos Melas & Maria Livada
- 211-234 Partitions and Automorphisms of Finite Kurepa Trees
by Žarko Mijajlović
- 215-242 A Supervised Learning Approach for Evaluating Football Performances
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Stefania Corsaro & Giuseppina Dello Ioio & Vincenzo Di Sauro & Zelda Marino
- 223-232 A Mathematical Study of the Braess’s Paradox Within a Network Comprising Four Nodes, Five Edges, and Linear Time Functions
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Costas Poulios & Evangelos Melas & Nick C. Poulios & Maria Livada & John Leventides
- 223-257 Recent Advances in Federated Graph Learning
In: Handbook of Trustworthy Federated Learning
by Tre’ R. Jeter & My T. Thai
- 233-237 On Similiarities Between Two Global Optimization Algorithms Based on Different (Bayesian and Lipschitzian) Approaches
In: Optimization, Discrete Mathematics and Applications to Data Sciences
by Antanas Žilinskas
- 235-255 Karamata’s Theory, Asymptotic Relations, and the Generalized Inverse
by Rale M. Nikolić & Valentina Timotić & Dragan Djurčić
- 235-258 Special Interval Cases
In: Interval Linear Programming and Extensions
by Milan Hladík
- 243-263 Bridging Route-Based Cycling Training with Digital Twins
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Alen Rajšp & Iztok Fister Jr.
- 257-273 Optimal Solutions of System of ( j , φ ) $$(j, \varphi )$$ -Hilfer FDEs via Best Proximity Point Using MNC
by Pradip R. Patle & Moosa Gabeleh & D. R. Abed Al-Zuhairi & Vladimir Rakočević
- 259-269 Special LP Cases
In: Interval Linear Programming and Extensions
by Milan Hladík
- 259-287 Privacy in Federated Learning Natural Language Models
In: Handbook of Trustworthy Federated Learning
by Phung Lai & C. Ariel Pinto
- 265-274 Perspectives of Artificial Intelligence in Training and Exercise
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Arnold Baca
- 271-373 Applications
In: Interval Linear Programming and Extensions
by Milan Hladík
- 275-285 Iterative Methods for the Inclusion of the Inverse Matrix
by Marko D. Petković & Miodrag S. Petković
- 275-295 A Fuzzy Model to Optimise the Football Rule Assuring Spectacle, Fair Play, Objectivity and Ethics
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Jaime Gil-Lafuente & Domenico Marino
- 287-300 The Optimal Quadrature Formula for the Approximate Calculation of Fourier Coefficients in the Space W 2 ˜ ( 2 , 1 ) $$ \widetilde {W_{2} }^{(2,1)}$$ of Periodic Functions
by Kholmat Shadimetov & Abdullo Hayotov & Umedjon Khayriev
- 289-319 Federated Learning of Models Pretrained on Different Features with Consensus Graphs
In: Handbook of Trustworthy Federated Learning
by Tengfei Ma & Jie Chen & Trong Nghia Hoang
- 297-308 Physical Efficiency in Soccer: Relevance, Correlations, and Impacts Using AI Methods
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Daniel Capanema & Adriano Alves & João Claudino & Adriano Pereira
- 301-310 On Almost Deferred Sequence Spaces Defined by Infinite Matrix
by Ekrem Savas
- 309-332 A PageRank-Based Method for College Football Recruiting Rankings
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Sergiy Butenko & Andrew Johnson & Erick Moreno-Centeno & Justin Yates
- 311-345 Certain Classes of Combinatorial Polynomials Involving (Inverse) Binomial Coefficients with Their Applications
by Yilmaz Simsek
- 323-366 Robust Federated Learning for Edge Intelligence
In: Handbook of Trustworthy Federated Learning
by Dongxiao Yu & Xiao Zhang & Hanshu He & Shuzhen Chen & Jing Qiao & Yangyang Wang & Xiuzhen Cheng
- 333-353 Applications of Improvements to the Pythagorean Won-Lost Expectation in Optimizing Rosters
In: Artificial Intelligence, Optimization, and Data Sciences in Sports
by Alexander F. Almeida & Kevin Dayaratna & Steven J. Miller & Andrew K. Yang
- 347-368 The Finite Difference Method for Solution of Parabolic Problem with Time-Dependent Coefficients
by Bratislav Sredojević & Dejan Bojović & Zorica Milovanović Jeknić
- 367-391 ZoneFL: Zone-Based Federated Learning at the Edge
In: Handbook of Trustworthy Federated Learning
by Xiaopeng Jiang & Hessamaldin Mohammadi & Cristian Borcea & NhatHai Phan
- 369-413 Quadrature Rules for Trigonometric Polynomials
by Tatjana V. Tomović Mladenović & Marija P. Stanić
- 377-402 Interval Multiobjective Linear Programming
In: Interval Linear Programming and Extensions
by Milan Hladík
- 393-407 Synthetic Data for Privacy Preservation in Distributed Data Analysis Systems
In: Handbook of Trustworthy Federated Learning
by Anantaa Kotal & Sai Sree Laya Chukkapalli & Anupam Joshi
- 403-453 Nonlinear Programming Problems with Interval Data
In: Interval Linear Programming and Extensions
by Milan Hladík
- 409-428 Toward Green Federated Learning
In: Handbook of Trustworthy Federated Learning
by Minsu Kim & Walid Saad
- 415-424 A Boubaker Collocation Method to Solve the Single Degree of Freedom System
by Şuayip Yüzbaşı & Beyza Çetin
- 425-434 New Multiplicative Method of Multicriteria Analysis
by Mališa R. Žižović & Dragan Pamučar & Miodrag M. Žižović & Miloljub Albijanić
- 455-475 AE Interval Linear Programming
In: Interval Linear Programming and Extensions
by Milan Hladík
- 477-493 General Parameter and Enclosing Sets
In: Interval Linear Programming and Extensions
by Milan Hladík
2024
- 1-6 Introduction to Multimodal and Tensor Data Analytics
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Nathan Gaw & Mostafa Reisi Gahrooei & Panos M. Pardalos
- 1-13 Networks Under Deep Uncertainty
In: Dynamics of Disasters
by Fuad Aleskerov & Daniil Tkachev
- 1-20 Introduction
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 1-24 Introduction
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 1-44 Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Sleep Disorders
In: Handbook of AI and Data Sciences for Sleep Disorders
by Xin Zan & Feng Liu & Xiaochen Xian & Panos M. Pardalos
- 1-47 Managing Risks in Smart Warehouses from the Perspective of Industry 4.0
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by S. P. Plakantara & Athanasia Karakitsiou & T. Mantzou
- 3-31 Modeling the Motion of a Single Vehicle
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 3-40 Introduction
In: Computational Stochastic Programming
by Lewis Ntaimo
- 9-20 Functional Methods for Multimodal Data Analysis
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Minhee Kim
- 15-53 Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions
In: Dynamics of Disasters
by Rachel Bennett & Mehdi Hemmati & Rajagopal Ramesh & Talayeh Razzaghi
- 21-39 Advanced Data Analytical Techniques for Profile Monitoring
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Peiyao Liu & Chen Zhang
- 21-45 Stochastic Optimization Methods
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 25-83 Iterative Methods in a Hilbert space
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 33-65 Modeling Vehicle Interactions and the Movement of Groups of Vehicles
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 41-55 Statistical Process Monitoring Methods Based on Functional Data Analysis
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Christian Capezza & Fabio Centofanti & Antonio Lepore & Alessandra Menafoglio & Biagio Palumbo & Simone Vantini
- 41-73 Stochastic Programming Models
In: Computational Stochastic Programming
by Lewis Ntaimo
- 45-65 Polysomnography Raw Data Extraction, Exploration, and Preprocessing
In: Handbook of AI and Data Sciences for Sleep Disorders
by Malak A. Almarshad & Saiful Islam & Sultan Bahammam & Saad Al-Ahmadi & Ahmed S. BaHammam
- 47-69 Heuristic Kalman Algorithm
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 49-94 Blockchain Technologies as a 4th Industrial Revolution Facilitator in Logistics
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Elisavet Maria Hatzikonstantinou & Athanasia Karakitsiou
- 55-85 An Enhanced Multi-UAVs’ Provider Framework for Delivering 5G Services Using a Game Theoretic Approach
In: Dynamics of Disasters
by Giorgia Maria Cappello & Gabriella Colajanni & Patrizia Daniele & Laura Galluccio & Christian Grasso & Giovanni Schembra & Laura Rosa Maria Scrimali
- 59-106 Tensor and Multimodal Data Analysis
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Jing Zeng & Xin Zhang
- 67-108 Sleep Stage Probabilities Derived from Neurological or Cardiorespiratory Signals by Means of Artificial Intelligence
In: Handbook of AI and Data Sciences for Sleep Disorders
by Peter Anderer & Marco Ross & Andreas Cerny & Pedro Fonseca
- 69-102 Flow, Speed, and Density and Their Relationships
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 71-113 Some Notions on System Modeling
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 77-110 Modeling and Illustrative Numerical Examples
In: Computational Stochastic Programming
by Lewis Ntaimo
- 85-136 The Cimmino Algorithm in a Hilbert Space
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 87-121 Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
In: Dynamics of Disasters
by Elaheh Jafarigol & Theodore B. Trafalis & Talayeh Razzaghi & Mona Zamankhani
- 95-121 Blockchain Technology for Information Sharing to Mitigate the Bullwhip Effect
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Muthana Al-Sukhni
- 103-120 Capacity
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 107-121 Tensor Data Analytics in Advanced Manufacturing Processes
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Bo Shen
- 109-160 From Screening at Clinic to Diagnosis at Home: How AI/ML/DL Algorithms Are Transforming Sleep Apnea Detection
In: Handbook of AI and Data Sciences for Sleep Disorders
by Pei-Lin Lee & Wenbo Gu & Wen-Chi Huang & Ambrose A. Chiang
- 111-152 Example Applications of Stochastic Programming
In: Computational Stochastic Programming
by Lewis Ntaimo
- 115-167 Robust Control of Uncertain Parametric Systems
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 121-139 Measuring Mobility: Quality, Quantity, Utilization, and Accessibility
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 123-138 Autonomous Vehicle Routing Optimization: A Survey
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Panagiotis Karakostas & Angelo Sifaleras
- 123-140 Prioritized Maximum Multi-Commodity Flow in Evacuation Planning
In: Dynamics of Disasters
by Durga Prasad Khanal & Urmila Pyakurel & Tanka Nath Dhamala & Stephan Dempe & Ingo Schiermeyer
- 125-166 Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Imtiaz Ahmed & Ahmed Shoyeb Raihan
- 137-212 Dynamic String-Averaging Methods in Hilbert Spaces
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 139-160 Assessing Path Planning Algorithms of Mobile Robots: A ROS-Based Simulation Framework
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Georgios Karamitsos & Dimitrios Bechtsis & Naoum Tsolakis & Dimitrios Vlachos
- 141-150 Analysis of Digital Narratives of Greece’s Worst Train Accident
In: Dynamics of Disasters
by Georgios Koligiannis & Maria Drakaki & Panagiotis Tzionas
- 143-152 The Highway Capacity Manual (HCM) and Its Methods
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 151-179 Quantification of International Trade Network Performance Under Disruptions to Supply, Transportation, and Demand Capacity, and Exchange Rates in Disasters
In: Dynamics of Disasters
by Anna Nagurney & Dana Hassani & Oleg Nivievskyi & Pavlo Martyshev
- 153-175 Analytical Models and Techniques
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 155-222 Deterministic Large-Scale Decomposition Methods
In: Computational Stochastic Programming
by Lewis Ntaimo
- 161-181 Modeling and Analysis of Mechanical Work of Breathing
In: Handbook of AI and Data Sciences for Sleep Disorders
by Victoria Ribeiro Rodrigues & Szilard L. Beres & Paul W. Davenport & Nicholas J. Napoli
- 161-200 Logistics System Network Design Towards Sustainability in the Era of Data Analytics
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Marduch Tadaros
- 167-183 Offshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Feng Ye & Travis Miles & Ahmed Aziz Ezzat
- 169-202 Preventive Maintenance
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 177-204 Simulation Modeling
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 181-205 A Geodatabase of Natural Hazard Events to Identify Relationships Between Hazards
In: Dynamics of Disasters
by Michail-Christos Tsoutsos & Αntonios Vitoratos & Vassilios Vescoukis
- 183-196 A Probabilistic Perspective: Bayesian Neural Network for Sleep Apnea Detection
In: Handbook of AI and Data Sciences for Sleep Disorders
by Minhee Kim & Xin Zan & Xiaochen Xian
- 185-206 Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Hao Yan & Ziyue Li & Xinyu Zhao & Jiuyun Hu
- 197-217 Automatic and Machine Learning Methods for Detection and Characterization of REM Sleep Behavior Disorder
In: Handbook of AI and Data Sciences for Sleep Disorders
by Matteo Cesari & Irene Rechichi
- 201-226 Strategic Evaluation of Environmental Trade-Off Solution in Logistics: A Multi Criteria Decision Making Approach
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Amanda Hedgren & Daniel Genberg & Athanasia Karakitsiou
- 203-238 Machine Learning
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 207-231 A Random Variational Inequality Model of an International Agricultural Supply Chain with a Vulnerability Analysis Under Disaster Scenarios
In: Dynamics of Disasters
by Mauro Passacantando & Fabio Raciti
- 207-237 Freeways
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 209-219 Multimodal Deep Learning
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Amirreza Shaban & Safoora Yousefi
- 213-250 Methods with Remotest Set Control in a Hilbert Space
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 219-232 Sleep Cyclic Alternating Pattern (CAP) as a Neurophysiological Marker of Brain Health
In: Handbook of AI and Data Sciences for Sleep Disorders
by S. A. Bottari & R. Ferri & M. S. Jaffee & John B. Williamson
- 221-252 Multimodal Deep Learning for Manufacturing Systems: Recent Progress and Future Trends
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Yinan Wang & Xiaowei Yue
- 223-273 Risk-Neutral Stochastic Linear Programming Methods
In: Computational Stochastic Programming
by Lewis Ntaimo
- 227-246 A Simulated Annealing Heuristic Approach for the Energy Minimizing Electric Vehicle Routing Problem with Drones
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Nikolaos A. Kyriakakis & Themistoklis Stamadianos & Magdalene Marinaki & Yannis Marinakis
- 233-251 Assessing the Impact of Multi-hazard Events in Spain: A Clustering Index Framework
In: Dynamics of Disasters
by Matheus Puime Pedra & Josune Hernantes & Leire Labaka
- 233-258 Deep Learning with Electrocardiograms
In: Handbook of AI and Data Sciences for Sleep Disorders
by Wesley Chorney & Haifeng Wang & Lir-Wan Fan
- 239-245 Conclusion
In: Solving Optimization Problems with the Heuristic Kalman Algorithm
by Rosario Toscano
- 239-277 Signalized Intersections and Arterials
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
- 247-265 A Greedy and Variable Neighborhood Search Metaheuristic Approach for the Cumulative Unmanned Aerial Vehicle Routing Problem
In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
by Nikolaos A. Kyriakakis & Themistoklis Stamadianos & Magdalene Marinaki & Yannis Marinakis
- 251-335 Algorithms Based on Unions of Nonexpansive Maps
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 255-279 Synergy of Engineering and Statistics: Multimodal Data Fusion for Quality Improvement
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Jianjun Shi & Michael Biehler & Shancong Mou
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In: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics
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In: Handbook of AI and Data Sciences for Sleep Disorders
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In: Computational Stochastic Programming
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- 279-294 Unsignalized Intersections
In: An Introduction to Traffic Flow Theory
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- 281-295 Manufacturing Data Fusion: A Case Study with Steel Rolling Processes
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
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In: An Introduction to Traffic Flow Theory
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In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Linus Kohl & Theresa Madreiter & Fazel Ansari
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In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Gregory Barry & Elif Konyar & Brandon Harvill & Chancellor Johnstone
- 319-327 Highway Networks
In: An Introduction to Traffic Flow Theory
by Lily Elefteriadou
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In: Solutions of Fixed Point Problems with Computational Errors
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In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Marco Luigi Giuseppe Grasso & Panagiotis Tsiamyrtzis
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In: Computational Stochastic Programming
by Lewis Ntaimo
- 353-375 Split Common Fixed Point Problems
In: Solutions of Fixed Point Problems with Computational Errors
by Alexander J. Zaslavski
- 357-371 Bayesian Approach to Multimodal Data in Human Factors Engineering
In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Katherina A. Jurewicz & David M. Neyens
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In: Multimodal and Tensor Data Analytics for Industrial Systems Improvement
by Arda Vanli
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In: Computational Stochastic Programming
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- 465-504 Computational Experimentation
In: Computational Stochastic Programming
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2023
- 1-12 Future Threats: Creating a Resilient Society
In: Handbook for Management of Threats
by Antonios Fytopoulos & Panos M. Pardalos
- 1-15 On a Version of Jensen-Steffensen Inequality and a Note on Inequalities in Several Variables
In: Exploring Mathematical Analysis, Approximation Theory, and Optimization
by Shoshana Abramovich
- 1-19 Introduction
In: Turnpike Phenomenon in Metric Spaces
by Alexander J. Zaslavski
- 1-21 Optimal Layered Defense For Site Protection
In: Data Analysis and Optimization
by Tsvetan Asamov & Emre Yamangil & Endre Boros & Paul B. Kantor & Fred Roberts
- 1-22 Polynomial Optimization, Certificates of Positivity, and Christoffel Function
In: Polynomial Optimization, Moments, and Applications
by Jean B. Lasserre
- 1-31 Advances in the Control Propellant Minimization for the Next Generation Gravity Mission
In: Modeling and Optimization in Space Engineering
by Alberto Anselmi & Stefano Cesare & Sabrina Dionisio & Giorgio Fasano & Luca Massotti
- 3-15 Discrete Diversity Optimization: Models and Instances
In: Discrete Diversity and Dispersion Maximization
by Anna Martínez-Gavara
- 3-20 An Extended Fractional SEIR Model to Predict the Spreading Behavior of COVID-19 Disease using Monte Carlo Back Sampling
In: Mathematical Modeling and Intelligent Control for Combating Pandemics
by A. S. Khoojine & M. Shadabfar & H. Jafari & V. R. Hosseini
- 13-37 Managing Environmental Threats: Integrating Nature-Related Risks into Investment Decisions and the Financial System
In: Handbook for Management of Threats
by François Gardin & Sven Kerckhoven
- 17-31 A Class of Dynamic Unilateral Contact Problems with Sub-differential Friction Law
In: Exploring Mathematical Analysis, Approximation Theory, and Optimization
by Oanh Chau & Adrien Petrov & Arnaud Heibig
- 17-40 The Origins of Discrete Diversity
In: Discrete Diversity and Dispersion Maximization
by Michael Kuby
- 21-38 Dynamics and Optimal Control Methods for the COVID-19 Model
In: Mathematical Modeling and Intelligent Control for Combating Pandemics
by Saida Id ouaziz & Mohammed EL Khomssi
- 21-38 Differential Inclusions
In: Turnpike Phenomenon in Metric Spaces
by Alexander J. Zaslavski
- 23-45 Developing and Running a Set of Competitive College/University Blended Courses
In: Data Analysis and Optimization
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- 23-51 Relative Entropy Methods in Constrained Polynomial and Signomial Optimization
In: Polynomial Optimization, Moments, and Applications
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In: Exploring Mathematical Analysis, Approximation Theory, and Optimization
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