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Machine learning and deep learning

Citations

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Cited by:

  1. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
  2. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  3. Lukas-Valentin Herm & Theresa Steinbach & Jonas Wanner & Christian Janiesch, 2022. "A nascent design theory for explainable intelligent systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2185-2205, December.
  4. Jonathan Brock & Katharina Brennig & Bernd Löhr & Christian Bartelheimer & Sebastian Enzberg & Roman Dumitrescu, 2024. "Improving Process Mining Maturity – From Intentions to Actions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 585-605, October.
  5. Mostafa Bigdeli & Mahsa Akbari, 2024. "Machine-learning-based Classification of Customers’ Behavioural Model in Instagram," Paradigm, , vol. 28(2), pages 223-240, December.
  6. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
  7. Marwa El-Shebli & Yousef Sharrab & Dimah Al-Fraihat, 2024. "Prediction and modeling of water quality using deep neural networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 11397-11430, May.
  8. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
  9. Yichi Zhang, 2024. "Path of career planning and employment strategy based on deep learning in the information age," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-23, October.
  10. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
  11. Leng, Xianyin & Xing, Mochen & Luo, Zhengwei & Jin, Yu & He, Zhixia & Wei, Shengli, 2024. "An investigation on methanol high pressure spray characteristics and their predictive models," Energy, Elsevier, vol. 313(C).
  12. Umut Turksen & Vladlena Benson & Bogdan Adamyk, 2024. "Legal implications of automated suspicious transaction monitoring: enhancing integrity of AI," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(4), pages 359-377, December.
  13. Najla Alharbi & Bashayer Alkalifah & Ghaida Alqarawi & Murad A. Rassam, 2024. "Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection," Future Internet, MDPI, vol. 16(10), pages 1-22, October.
  14. Chenyuan Liu & Heng Li & Kexin Li & Yue Wu & Baogang Lv, 2025. "Deep Learning for State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles: A Systematic Review," Energies, MDPI, vol. 18(6), pages 1-20, March.
  15. Sheeraz Arif Arif & Rashid Hussain & Nadia Mustaqim Ansari & Waseem Rauf, 2023. "A novel hybrid feature method for weeds identification in the agriculture sector," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 69(3), pages 132-142.
  16. Yuanyuan Yang & Md Muhie Menul Haque & Dongling Bai & Wei Tang, 2021. "Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review," Energies, MDPI, vol. 14(21), pages 1-26, October.
  17. Abdulwahhab, Ali H. & Abdulaal, Alaa Hussein & Thary Al-Ghrairi, Assad H. & Mohammed, Ali Abdulwahhab & Valizadeh, Morteza, 2024. "Detection of epileptic seizure using EEG signals analysis based on deep learning techniques," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  18. Abhirup Khanna & Bhawna Yadav Lamba & Sapna Jain & Vadim Bolshev & Dmitry Budnikov & Vladimir Panchenko & Alexandr Smirnov, 2023. "Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
  19. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.
  20. Rui Ma & Jia Wang & Wei Zhao & Hongjie Guo & Dongnan Dai & Yuliang Yun & Li Li & Fengqi Hao & Jinqiang Bai & Dexin Ma, 2022. "Identification of Maize Seed Varieties Using MobileNetV2 with Improved Attention Mechanism CBAM," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
  21. Simon Wagner & Sophie Thiam & Nadège I. P. Dossoumou & David Daou, 2024. "What Influences the Demand for a Potential Flood Insurance Product in an Area with Low Previous Exposure to Insurance? – A Case Study in the West African Lower Mono River Basin (LMRB)," Economics of Disasters and Climate Change, Springer, vol. 8(1), pages 1-32, March.
  22. Kraus, Mathias & Tschernutter, Daniel & Weinzierl, Sven & Zschech, Patrick, 2024. "Interpretable generalized additive neural networks," European Journal of Operational Research, Elsevier, vol. 317(2), pages 303-316.
  23. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
  24. Patrick Zschech, 2023. "Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines," Information Systems and e-Business Management, Springer, vol. 21(1), pages 193-227, March.
  25. Rafael Magdalena-Benedicto & Sonia Pérez-Díaz & Adrià Costa-Roig, 2023. "Challenges and Opportunities in Machine Learning for Geometry," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
  26. Alexander Mayr & Philip Stahmann & Maximilian Nebel & Christian Janiesch, 2024. "Still doing it yourself? Investigating determinants for the adoption of intelligent process automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-22, December.
  27. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
  28. Shanxin Zhang & Hao Feng & Shaoyu Han & Zhengkai Shi & Haoran Xu & Yang Liu & Haikuan Feng & Chengquan Zhou & Jibo Yue, 2022. "Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning," Agriculture, MDPI, vol. 13(1), pages 1-21, December.
  29. Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
  30. Wiem Bekri & Rihab Jmal & Lamia Chaari Fourati, 2024. "Secure and trustworthiness IoT systems: investigations and literature review," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 85(3), pages 503-538, March.
  31. Shuolei Yin & Yejing Xi & Xun Zhang & Chengnuo Sun & Qirong Mao, 2025. "Foundation Models in Agriculture: A Comprehensive Review," Agriculture, MDPI, vol. 15(8), pages 1-30, April.
  32. Patrick Weber & K. Valerie Carl & Oliver Hinz, 2024. "Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature," Management Review Quarterly, Springer, vol. 74(2), pages 867-907, June.
  33. Wendou Yan & Xiuying Wang & Shoubiao Tan, 2022. "YOLO-DFAN: Effective High-Altitude Safety Belt Detection Network," Future Internet, MDPI, vol. 14(12), pages 1-12, November.
  34. Nunes Maciel, Joylan & Javier Gimenez Ledesma, Jorge & Hideo Ando Junior, Oswaldo, 2024. "Hybrid prediction method of solar irradiance applied to short-term photovoltaic energy generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  35. Julius Peter Landwehr & Niklas Kühl & Jannis Walk & Mario Gnädig, 2022. "Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 707-728, December.
  36. Cheng Yang & Fuhao Sun & Yujie Zou & Zhipeng Lv & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Haoyang Cui, 2024. "A Survey of Photovoltaic Panel Overlay and Fault Detection Methods," Energies, MDPI, vol. 17(4), pages 1-37, February.
  37. Muhammad Waqas Farooq & Faiza Nawaz & Dr. Raja Irfan Sabir, 2024. "To Gain Sustainable Competitive Advantages (SCA) Using Artificial Intelligence (AI) Over Competitors," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 1026-1033.
  38. Leonides Medeiros Neto & Sebastião Rogerio da Silva Neto & Patricia Takako Endo, 2023. "A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-23, December.
  39. Marc Pinski & Thomas Hofmann & Alexander Benlian, 2024. "AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-23, December.
  40. Hong, Jichao & Li, Kerui & Liang, Fengwei & Yang, Haixu & Zhang, Chi & Yang, Qianqian & Wang, Jiegang, 2024. "A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks," Energy, Elsevier, vol. 289(C).
  41. Shuai Sang & Lu Li, 2024. "A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism," Mathematics, MDPI, vol. 12(7), pages 1-20, March.
  42. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
  43. Dilek Fraisl & Linda See & Steffen Fritz & Mordechai Haklay & Ian McCallum, 2025. "Leveraging the collaborative power of AI and citizen science for sustainable development," Nature Sustainability, Nature, vol. 8(2), pages 125-132, February.
  44. Ruiz-Moreno, Sara & Gallego, Antonio J. & Sanchez, Adolfo J. & Camacho, Eduardo F., 2023. "A cascade neural network methodology for fault detection and diagnosis in solar thermal plants," Renewable Energy, Elsevier, vol. 211(C), pages 76-86.
  45. Michael Weber & Martin Engert & Norman Schaffer & Jörg Weking & Helmut Krcmar, 2023. "Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI," Information Systems Frontiers, Springer, vol. 25(4), pages 1549-1569, August.
  46. repec:dar:wpaper:135656 is not listed on IDEAS
  47. Łukasz Łach & Dmytro Svyetlichnyy, 2025. "Advances in Numerical Modeling for Heat Transfer and Thermal Management: A Review of Computational Approaches and Environmental Impacts," Energies, MDPI, vol. 18(5), pages 1-60, March.
  48. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
  49. Cui, Xiling & Zhu, Zhongshan & Liu, Libo & Zhou, Qiang & Liu, Qiang, 2024. "Anomaly detection in consumer review analytics for idea generation in product innovation: Comparing machine learning and deep learning techniques," Technovation, Elsevier, vol. 134(C).
  50. Humberto de Jesús Ochoa Domínguez & Vianey Guadalupe Cruz Sánchez & Osslan Osiris Vergara Villegas, 2024. "Demystifying Deep Learning Building Blocks," Mathematics, MDPI, vol. 12(2), pages 1-26, January.
  51. Praneel Chand & Mansour Assaf, 2024. "An Empirical Study on Lightweight CNN Models for Efficient Classification of Used Electronic Parts," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
  52. Rashid Amin & Muzammal Majeed & Farrukh Shoukat Ali & Adeel Ahmed & Mudassar Hussain, 2022. "Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm," International Journal of Innovations in Science & Technology, 50sea, vol. 4(5), pages 158-172, July.
  53. Thomas Grisold & Christian Janiesch & Maximilian Röglinger & Moe Thandar Wynn, 2022. "Call for Papers, Issue 5/2024," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 841-843, December.
  54. Zaki Masood & Rahma Gantassi & Ardiansyah & Yonghoon Choi, 2022. "A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting," Energies, MDPI, vol. 15(7), pages 1-11, April.
  55. Fadhila Lachekhab & Messouada Benzaoui & Sid Ahmed Tadjer & Abdelkrim Bensmaine & Hichem Hamma, 2024. "LSTM-Autoencoder Deep Learning Model for Anomaly Detection in Electric Motor," Energies, MDPI, vol. 17(10), pages 1-18, May.
  56. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
  57. Zhang, Xianggang & Ma, Shenggui & Wang, Xuya & He, Zhen & Chang, Yulong & Jiang, Xia, 2025. "Energy-efficient design of cyclone separators: Machine learning prediction of particle self-rotation velocities," Energy, Elsevier, vol. 316(C).
  58. Pascal Penava & Ricardo Buettner, 2025. "A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-20, December.
  59. Xu, Xinlei & Zhang, Junhui & Huang, Weidi & Yu, Bin & Lyu, Fei & Zhang, Xiaolong & Xu, Bing, 2024. "The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
  60. Christoph Rosenkranz & Viktoria Stray & Manuel Wiesche, 2023. "Call for Papers, Issue 1/2025," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 483-486, August.
  61. Roberto De Fazio & Vincenzo Mariano Mastronardi & Matteo Petruzzi & Massimo De Vittorio & Paolo Visconti, 2022. "Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition," Future Internet, MDPI, vol. 15(1), pages 1-42, December.
  62. Stefan Feuerriegel & Jochen Hartmann & Christian Janiesch & Patrick Zschech, 2024. "Generative AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(1), pages 111-126, February.
  63. Kalliopi Kanaki & Michail Kalogiannakis & Emmanouil Poulakis & Panagiotis Politis, 2022. "Investigating the Association between Algorithmic Thinking and Performance in Environmental Study," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
  64. Md Shajalal & Alexander Boden & Gunnar Stevens, 2022. "Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2107-2122, December.
  65. Alabi, Tobi Michael & Aghimien, Emmanuel I. & Agbajor, Favour D. & Yang, Zaiyue & Lu, Lin & Adeoye, Adebusola R. & Gopaluni, Bhushan, 2022. "A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems," Renewable Energy, Elsevier, vol. 194(C), pages 822-849.
  66. Rainer Alt, 2021. "Electronic Markets on digital platforms and AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 233-241, June.
  67. Bojan Martinović & Milos Bijanić & Dusan Danilović & Andrija Petrović & Boris Delibasić, 2023. "Unveiling Deep Learning Insights: A Specialized Analysis of Sucker Rod Pump Dynamographs, Emphasizing Visualizations and Human Insight," Mathematics, MDPI, vol. 11(23), pages 1-29, November.
  68. Ning Sun & Sai Tang & Ju Zhang & Jiaxin Wu & Hongwei Wang, 2022. "Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
  69. Zhang, Kai & Bai, Dongxin & Li, Yong & Song, Ke & Zheng, Bailin & Yang, Fuqian, 2024. "Robust state-of-charge estimator for lithium-ion batteries enabled by a physics-driven dual-stage attention mechanism," Applied Energy, Elsevier, vol. 359(C).
  70. Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
  71. Christoph Rosenkranz & Viktoria Stray & Manuel Wiesche, 2025. "Navigating the New Frontier of Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(1), pages 1-5, February.
  72. Peter Hofmann & Nils Urbach & Julia Lanzl & Kevin C. Desouza, 2024. "AI-enabled information systems: Teaming up with intelligent agents in networked business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-8, December.
  73. Sandra Zilker & Sven Weinzierl & Mathias Kraus & Patrick Zschech & Martin Matzner, 2024. "A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis," Health Care Management Science, Springer, vol. 27(2), pages 136-167, June.
  74. Burton, Joe, 2023. "Algorithmic extremism? The securitization of artificial intelligence (AI) and its impact on radicalism, polarization and political violence," Technology in Society, Elsevier, vol. 75(C).
  75. Junwei Zhou & Yanguo Fan & Qingchun Guan & Guangyue Feng, 2024. "Research on Drought Monitoring Based on Deep Learning: A Case Study of the Huang-Huai-Hai Region in China," Land, MDPI, vol. 13(5), pages 1-20, May.
  76. Johannes Schneider & Christian Meske & Pauline Kuss, 2024. "Foundation Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(2), pages 221-231, April.
  77. Jinming Gao & Xianlong Su & Changsu Kim & Kerang Cao & Hoekyung Jung, 2024. "A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering," Energies, MDPI, vol. 17(16), pages 1-17, August.
  78. Iva Glišic, 2024. "A comparison of using MIDAS and LSTM models for GDP nowcasting," Working Papers Bulletin 22, National Bank of Serbia.
  79. Zabir Mohammad & Muhammad Mohsin Kabir & Muhammad Mostafa Monowar & Md Abdul Hamid & Muhammad Firoz Mridha, 2022. "Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
  80. Viet Trinh, 2025. "A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment," Papers 2502.00151, arXiv.org.
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