A survey on dataset quality in machine learning

Gong, Youdi, Liu, Guangzhen, Xue, Yunzhi, Li, Rui, Meng, Lingzhong·2023·Information and Software Technology
DOI 10.1016/j.infsof.2023.107268

Cited by (353)

Items 101–200 of 353

  1. A review on AI-enabled drug design in medicinal chemistry: Analytical validation, challenges, and regulatory considerations
    Sanjay Kumar, Shashi Kiran Misra, Ashish Tiwari, Ayush Katiyar, Dr Anita Awasthi, Sandeep Kumar Singh, Arpit Katiyar, Ankita Dhawan, Ajay Kumar · 2026 · Talanta
  2. Testing Machine Learning and Deep Learning Systems: Achievements and Challenges
    Salma Albelali, Moataz Ahmed · 2025 · Arabian Journal for Science and Engineering
  3. Optimization Strategies for Low-Power AI Models on Embedded Devices
    Tianqi Zhen · 2025 · Applied and Computational Engineering
  4. MultiPhishNet: A Multimodal Approach of QR Code Phishing Detection using Multi-Head Attention and Multilingual Embeddings
    Omar Yasser Ibrahim Khalifa, Muhammad Zafran Muhammad Zaly Shah · 2025 · International Journal of Innovative Computing
  5. A framework based on mechanistic modelling and machine learning for soil moisture estimation
    Sabri Kanzari, Sana Ben Mariem, Samir Ghannèm, Safouane Mouelhi, Hiba Ghazouani, Béchir Ben Nouna · 2025 · Discover Soil.
  6. Roles of Artificial Intelligence in Enhancing Diagnostic Pathology and Surgical Outcomes in Laboratory Animals: A Systematic Review
    Negar Ababaf Shoushtari, Amin Shahinzadeh, Elaheh Mahmoodi, Bardia Mohammadi, Marziyeh Saki, Safa Najafi, Sirous Rafiei Asl · 2025 · Journal of Lab Animal Research
  7. Preserving and enhancing cultural heritage through art design using feature pyramid network optimized by modified builder optimization algorithm
    Xing Fu, Navid Razmjooy · 2025 · Scientific Reports
  8. Perspectives Chapter: Data-Centric Strategies for Machine Learning-Driven Therapeutic Peptide Design – Challenges and Perspectives
    David Medina-Ortiz, Sebastián Escobedo, Norma Murillo-Acevedo, Nicole Soto-García, Diego Fernández Villegas, Diego Sandoval, Anamaria Sanchez–Daza · 2026 · IntechOpen eBooks
  9. Computational precision control of electrospun polymer nanofiber morphology using machine learning and genetic algorithm optimization
    Balakrishnan Subeshan, Eylem Asmatulu · 2026 · Journal of Materials Science
  10. Prediction of white etching area damage based on machine learning model combined with crystal plasticity under rolling contact fatigue
    Jun Wang, Jinhua Chen, Shuxin Li, Yongcheng Lin, Siyuan Lu, Feng Yu · 2025 · International Journal of Fatigue
  11. Handling imperfection: A taxonomy for machine learning on data with data quality defects
    Michael Hagn, Bernd Heinrich, Thomas Krapf, Alexander Schiller · 2025 · Decision Support Systems
  12. ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
    Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Md Fahim, Fabiha Haider, Fariha Tanjim Shifat, Md Tasmim Rahman Adib, Anam Borhan Uddin, Md Farhan Ishmam, Md Farhad Alam · 2025 · Lecture notes in computer science
  13. Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
    Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li · 2024 · Sensors
  14. Domain knowledge-guided intelligent recognition of multi-type potential landslides
    Qinghao Liu, Huimin Liu, Qing Lan, Kui Li, Cheng Huang, Xuexi Yang · 2025 · Knowledge-Based Systems
  15. Machine Learning for Predictive Maintenance: A Literature Review
    Moses Laksono Singgih, Fauziyyah Firdausi Zakiyyah, Andrew · 2024 · International Conference on Vocational Education and Electrical Engineering (ICVEE)
  16. Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders
    Ziqin Yang, Nicole A. Teaney, Elizabeth D. Buttermore, Mustafa Şahin, Wardiya Afshar Saber · 2025 · Frontiers in Neuroscience
  17. Predicting CO2 adsorption in metal-organic frameworks: Integrating machine learning with virtual sample generation
    Wahyu Aji Eko Prabowo, Muhamad Akrom, Supriadi Rustad, Totok Sutojo, Hermawan Kresno Dipojono, Ryo Maezono, Febdian Rusydi · 2025 · Results in Surfaces and Interfaces
  18. Analisis Sentimen Terhadap Kemajuan Kecerdasan Buatan di Indonesia Menggunakan BERT dan RoBERTa
    Nisrina Akbar Rizky Putri, Ardiansyah Ardiansyah · 2023 · Jurnal Sains dan Informatika
  19. Prediction and optimization for a threaded reusable spacecraft separation device
    Tengfei Shi, Xiangyu Li, Caishan Liu · 2025 · Acta Astronautica
  20. IaraMed: A Women’s Healthcare Chatbot for Portuguese Speakers
    Fernanda B. Färber, Julia Soares Dollis, Pedro S. F. B. Ribeiro, Iago A. Brito, Rafael T. Sousa, Arlindo Rodrigues Galvão Filho · 2025
  21. A Robust Prioritization Framework of Data Quality Dimensions to Improve ML-Driven Healthcare Systems Using AHP and Sensitivity Analysis
    Areen Metib Al-Hgaish, Rodziah binti Atan, Razali Yaakob, Mohd Hafeez Osman · 2025 · IEEE Access
  22. DQMAF—Data Quality Modeling and Assessment Framework
    Razan Al-Toq, Abdulaziz Almaslukh · 2025 · Information
  23. ChainShieldML an intelligent decentralized security framework for next generation wireless sensor networks
    Dileep Kumar Murala, Shadab Ahmad, V. A. Sankar Ponnapalli, Veera Ankalu Vuyyuru, Eric Hitimana · 2025 · Scientific Reports
  24. Quantitative analysis of total organic carbon in shale using laser-induced breakdown spectroscopy based on CN and C 2 molecular emissions
    Minxin Chen, Jian Wu, Mingxin Shi, Ying Zhou, Ning Wang, Yiguo Chen, Xinyu Guo, Xingwen Li, Aici Qiu · 2026 · Journal of Analytical Atomic Spectrometry
  25. A spatiotemporal indoor thermal and visual quality prediction framework based on a structured multi-branch CNN–LSTM network
    Haoyang Zhang, Yan Wang, Hongbin Zhao, Wanxiang Yao, Weijun Gao, Guoqing Yang, Lixin Sun, Zhongtian Jiang · 2026 · Building and Environment
  26. A review of relationship between mix composition and surface texture in asphalt mixture: mechanisms, characterization, and modeling
    Xuejun Liu, Anxin Meng, Xing Liu, Mingteng Zhang, Shenqing Xiao · 2026 · Materials and Structures
  27. Physics-informed neural network frameworks in strong and weak forms for elastoplastic analysis
    W Wang, Huu‐Tai Thai · 2026 · Applied Mathematical Modelling
  28. Leveraging digital tools for sustainable precision in Agriculture 3.0–5.0: a scoping review of trends, benefits, and challenges
    Rendani Humphrey Khwidzhilli, Enioluwa Jonathan Ijatuyi · 2026 · Frontiers in Sustainable Food Systems
  29. Where Machine Learning Fails in Predicting Emerging Contaminant Adsorption: A Decision-Oriented Framework for Model Credibility and Transferability
    Yina Fan, Jun Li, Yi Ren, Chao Liu, Weiming Zhang · 2026 · Environmental Science & Technology
  30. MIDC: Medical image dataset cleaning framework based on deep learning
    Sanli Yi, Ziyan Chen · 2024 · Heliyon
  31. A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications
    Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin K Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva · 2024 · Frontiers in Robotics and AI
  32. SchNet_IIA: Potential Energy Surface Fitting by Interatomic Interactions Attention Based on Transfer Learning Analysis
    Kai‐Le Jiang, Huai‐Qian Wang, Huifang Li, Shuwan Pan, Hao Zheng, Yong‐Hang Zhang, Jiaming Zhang · 2024 · Journal of Chemical Information and Modeling
  33. A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks
    Muhammed Adil Yatkın, Mihkel Kõrgesaar, Ümi̇t Işlak · 2025 · Applied Sciences
  34. The Impact of Balancing Techniques and Feature Selection on Machine Learning Models for Diabetes Detection
    Vahid Sinap · 2025 · Fırat Üniversitesi Mühendislik Bilimleri Dergisi
  35. PowerStrand-YOLO: A High-Voltage Transmission Conductor Defect Detection Method for UAV Aerial Imagery
    Zhenrong Deng, Jun Li, Junjie Huang, Shuaizheng Jiang, Qiuying Wu, Rui Yang · 2025 · Mathematics
  36. A Comparative Study of Two Tree-Based Models for Predicting Flyrock Velocity at Open Pit Bench Mining
    Ezatullah Rawnaq, Bassir Esmatyar, Akihiro Hamanaka, Takashi Sasaoka, Hideki Shimada · 2024 · Open Journal of Applied Sciences
  37. A survey on batch training in genetic programming
    Liah Rosenfeld, Leonardo Vanneschi · 2024 · Genetic Programming and Evolvable Machines
  38. MAB-RSP: Data pricing based on Stackelberg game in MCS
    Yongjiao Sun, Xiuyan Ma, Anrui Han · 2025 · Array
  39. Features engineered hardness and yield strength prediction of septenary refractory high-entropy alloys
    Shunhua Chen, Hai Xu, Wen Bin He, Jiaqin Liu, Yucheng Wu · 2025 · Intermetallics
  40. A Two-Stage Canopy Extraction Method Utilizing Multispectral Images to Enhance the Estimation of Canopy Nitrogen Content in Pear Orchards with Full Grass Cover
    Yuanhao Sun, Kai Huang, Quanchun Yuan, Xiaohui Lei, Xiaolan Lv · 2025 · Horticulturae
  41. From Control to Optimisation: Evolving Strategies in the Nutritional Management of Inborn Errors of Protein Metabolism
    Júlio César Rocha, Anne Daly, Anita MacDonald · 2025 · Journal of Inherited Metabolic Disease
  42. Re-considering data strategy and incorporation for AI: Concepts, prospects, and challenges
    Olaide Mary Balogun, Johnson Nchege, Chijindu Okpalaoka, Okpan Augustine · 2025 · Strategic Business Research
  43. DyFusion-PCT: An improved point cloud transformer for automatic and non-contact morphometric measurement of sheep
    Jinxin Liang, Zhiyu Yuan, Jianrui Qu, Yunda Jia, Hang Zhang, Chunxin Wang · 2025 · Smart Agricultural Technology
  44. Data Imputation for Business Process Event Logs
    Konstantinos Varvoutas, Anastasios Gounaris · 2026 · SN Computer Science
  45. Fick's law as a custom kernel in support vector regression: How to fully represent chloride concentration profiles in concrete structures
    Thiago Alessi Reichert, Carlos Eduardo Tino Balestra, Wagner Alessandro Pansera, Rogério Carrazedo · 2026 · Journal of Building Engineering
  46. From astrophysics to finance: Unveiling frauds through the combination of several Machine Learning algorithms
    Y. Maruccia, S. Cavuoti, G. Riccio, R. Crupi, S. Rubini · 2026 · Astronomy and Computing
  47. CodeSmellSynergy hybrid ensemble learning framework for detecting python code smells
    Chandan Kumar, Varshini Chaganti, Umashankar Samal, Sunil Kumar Singh · 2026 · Discover Computing
  48. Machine Learning Prediction of Ionic Liquid Conductivity for Sustainable Screening
    Ruru Ma, J S Liu, Ronghua Liang, Chunfa Miao, Wenwu Xu, Changyu Du, Z J Liu, Yue Wang, Fengbin Zheng, Peizhe Cui · 2026 · ACS Sustainable Chemistry & Engineering
  49. Data-driven optimization of hybrid EV charging infrastructure: From cross-city demand forecasting to dynamic allocation
    Ruosi Kong, Ameena Saad Al‐Sumaiti, Khalifa Hasan Al Hosani, Muhammad Bakr Abdelghany · 2026 · Applied Energy
  50. A Survey of Data Quality Assessment Methods for Big Data
    Okjoo Choi, Yukyong Kim · 2023 · Journal of Software Assessment and Valuation
  51. EDUCATIONAL DATA MINING AND LEARNING ANALYTICS: TEXT GENERATORS USAGE EFFECT ON STUDENTS’ GRADES
    Birutė Pliuskuvienė, Urtė Radvilaitė, Rasa Juodagalvytė, Simona Ramanauskaitė, Pavel Stefanovič · 2024 · New Trends in Computer Sciences
  52. Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas
    David Kasperek, Michał Podpora · 2024 · Applied Sciences
  53. Application of Convolutional Neural Network for Seismic Event Classification: Impact of Dataset Quality, Distribution, and Human-in-the-Loop Feedback
    Yanwei Zhang, Stephen S. Gao, Xiaoyi Fan, Shaohui Zhou, Junhao Qu · 2024 · Bulletin of the Seismological Society of America
  54. Cubic Graph Property Dataset for Machine Learning Models
    Bianka Modrovičová, Adam Dudáš · 2024 · IEEE International Scientific Conference on Informatics (Informatics)
  55. Machine learning approaches for identifying the influencing factors of input materials in cement and predicting heavy metal concentrations
    Dong Hoon Lee, Ryeo‐Ok Kim, Jin Hwi Kim, Sang-Il Lee, Minkyu Park, Kyung‐Hwa Park, Min-Yong Lee · 2025 · Journal of Hazardous Materials Advances
  56. DCA-Bench: A Benchmark for Dataset Curation Agents
    Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, Jiaqi Ma · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  57. From video to behaviour: An LSTM ‐based approach for automated nest behaviour recognition in the wild
    Liliana R. Silva, André C. Ferreira, Irene Martinez-Baquero, Arlette Fauteux, Claire Doutrelant, Rita Covas · 2026 · Methods in Ecology and Evolution
  58. A dataset of Natural Gas and Liquid Level for Oil Field Production Prediction in China
    Yanlei Wang, Jian Lian, Chengjiang Li · 2025 · Scientific Data
  59. Artificial Intelligence‐Driven Flow Optimization in Renewable Energy Systems
    Sachin Kumar, Vipin Kumar Sharma, Dinesh Kumar Patel, Gaurav Nandan, Tushar Sagar · 2026 · Wiley eBooks
  60. A Data-Driven Method for Water Quality Analysis and Prediction for Localized Irrigation
    Roberto Fray da Silva, Marcos Roberto Benso, Fernando Corrêa, Tâmara Guindo Messias, Fernando Campos Mendonça, Patrícia Angélica Alves Marques, Sérgio Nascimento Duarte, Eduardo Mário Mendiondo, Alexandre C. B. Delbem, António Mauro Saraiva · 2024 · AgriEngineering
  61. Synthetic training data bias in instance segmentation algorithms
    Lena R. Schreiber, Yannick Edward Tarant, Kai Franke · 2024 · SPIE Conference on Artificial Intelligence for Security and Defence Applications
  62. Dijital Pazarlama
    Ebru SÖNMEZ KARAPINAR · 2024 · Özgür Yayınları eBooks
  63. Predicting and Enhancing Student Performance Through Data Analysis and Engagement Metrics
    P S Sreekuttan, Ann Baby, Priyanka E Thambi · 2024 · International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET)
  64. Traductor de lengua de señas ecuatoriana mediante inteligencia artificial para la inclusión educativa .
    Wilson Oswaldo Sánchez Macías, Daniela Sanchez-Orozco, Jessica Marlene Ramos Anchundia · 2025 · Revista Científica Multidisciplinar G-nerando
  65. Case Studies and Clinical Applications of AI in Imaging
    Rasika Beohar, Dishank Purandare, Sachin Bhoite, Dhanshree Polshettiwar, Satish Arunrao Polshettiwar · 2025 · Advances in computational intelligence and robotics book series
  66. Enhancing Data Efficiency for Training Object Detectors
    Mirco Oliver Höhne, Maximilian Menke, Maarten Bieshaar · 2025 · IEEE Intelligent Vehicles Symposium
  67. Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes
    Hui Xie, Meng Liu, Ashley Cusack, Guangxian Li, Andrew Peter Longstaff, Songling Ding, Wencheng Pan · 2025 · Journal of Intelligent Manufacturing
  68. To Compare Performance of Various Machine Learning Algorithms Through EEG Analysis for Schizophrenia
    Ichhanshu Jaiswal, Vikas Gupta, Sonal Dubal · 2025 · Algorithms for intelligent systems
  69. Defect diagnostics in thin film photovoltaics: leveraging macroscopic J-V characteristics for microscopic insights via machine learning
    Gholamhosain Haidari · 2025 · Applied Physics A
  70. Distributed edge artificial intelligence empowered data trading: Theories, algorithms, and applications
    Bing Mi, Kongyang Chen · 2025 · Computer Science Review
  71. Datagraphy: toward a systematic approach to dataset discovery
    Pascal Petit, Nicolas Vuillerme · 2025 · GigaScience
  72. Predicting chemical composition of corn silage using tree-based machine learning models: Model development, feature analysis, and practical application
    Huilong Chen, Shuyan Feng, Junliang Wan, Ying Wang, Ying Wang, Yongzi Lv, Changyao Sun, Biai Lei, Luiz Gustavo Nussio, Fuyu Yang et al. · 2025 · Bioresource Technology
  73. Machine learning for automated avalanche terrain exposure scale (ATES) classification
    Kalin Markov, Andreas Huber, Momchil Panayotov, Christoph Hesselbach, Paula Spannring, Jan‐Thomas Fischer, Michaela Teich · 2025 · Natural hazards and earth system sciences
  74. Converting Natural Language to Query Languages Using Large Language Models: A Systematic Literature Review
    Rayfran Rocha Lima, Kamila Cardoso Vasconcelos, Eloisa Mendonça Gadelha · 2025 · Brazilian Symposium on Multimedia and the Web
  75. Barriers to the Effective Implementation of AI in Predicting Public Works
    Elena Usobiaga, Patricia Molina-Costa, Begoña Ispizua, José Luis Izkara · 2025 · Street Art & Urban Creativity
  76. Genes, shells, and AI: using computer vision to detect cryptic morphological divergence between genetically distinct populations of limpets
    Jack D. Hollister, David A. Paz‐García, Rodrigo Beas‐Luna, Tammy Horton, Xiaohao Cai, Phillip B. Fenberg · 2025 · Scientific Reports
  77. DAF: Device Annotation Framework
    Matej Hulák, Václav Bartoš, Josef Koumar, Tomáš Čejka · 2025 · International Conference on Network and Service Management (CNSM)
  78. Toward Consistent Data Quality Assessment in Heterogeneous Smart Living Systems
    Tobias Dreesbach, Léon Dankert, Constantin Brîncoveanu, K. Valerie Carl, Oliver Fast Hinz, Oliver Thomas · 2025 · IEEE Conference on Business Informatics
  79. Usability Assessment Framework for Crowdsensing Data and the Implicit Spatiotemporal Information
    Ying Chen, He Zhang, Jixian Zhang, Jing Shen, Yahang Li · 2026 · ISPRS International Journal of Geo-Information
  80. Modernizing Data Quality: Evolving Dimensions for Unstructured Text Data in Big Data, AI and Ethical Contexts
    Ning Wang, Seong-Gyun Leem · 2026 · IntechOpen eBooks
  81. Combining confocal microscopy and deep learning for concrete microstructure analysis
    Viktor Kostic, Jithender Jaswant Timothy, Thomas Kränkel, Christoph Gehlen · 2026 · Journal of Building Engineering
  82. Introducing OASISS: ODD-Based AI Safety in AutonomouS Systems
    Jerein Jeyachandran, Siddartha Khastgir, Xingyu Zhao, Eric Barbier, Paul Jennings · 2025 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  83. Predictive Machine Learning Framework for Biochar Performance in Heavy Metals Remediation: A Decision-support Approach for Contaminated Soil Health Management
    Vicky Anand, Priyadarshani Rajput, Bhawana Singh, Swarnendra Banerjee, Саглара Сергеевна Манджиева, Aastha Sharma, Abhishek Singh, Avnish Chauhan, Tatiana Minkina, Vishnu Dayal Rajput · 2026 · Earth Systems and Environment
  84. Towards Designing Valuable and Explainable Data-Driven Systems
    Alberto Abelló, Ladjel Bellatreche, Oscar Romero, Panos Vassiliadis, Robert Wrembel · 2026 · Information Systems Frontiers
  85. RIOWA: Restricted induced ordered weighted averaging operators, applied to missing data imputation
    Alfonso Indurain-Ibero, Benjamín Bedregal, Mikel Ferrero-Jaurrieta, Javier Fernandez, Humberto Bustince · 2026 · Applied Soft Computing
  86. Machine Learning-Based Detection of Parkinson’s Disease From Arabic Speech: A Cross-Linguistic Validation Study
    Ahmad B. Hassanat, Ahmad S. Tarawneh, Enas Al-khlifeh, Alaa O. Almahadin, Mansoor Alghamdi, Khalid Almohammadi, Malek Alrashidi, Lujain A. Alhasanat, Ahmad H. Al-Nawafleh · 2026 · Journal of Central Nervous System Disease
  87. Integrative analysis of tumor-educated platelets for stage-specific diagnosis, prognosis, and therapy in ovarian cancer
    Shaimaa Gamal Gahin, Mostafa S. Ibrahim, Eman Badr · 2026 · Discover Oncology
  88. The prediction of essential medicine demand using machine learning and traditional methods on EPSS Gondar hub 2018–2022 data
    Tefera Minwagaw, Mulugojjam Jegnie Tagele, Abrham Wondimu, Wondim Alemu Ayenew · 2026 · Exploratory Research in Clinical and Social Pharmacy
  89. Comparative Analysis of Decision Tree, Random Forest, and XGBoost for Student Category Prediction
    Rayson Calvianto Lim, Harvianto Harvianto · 2026 · International Journal of Computer Science and Humanitarian AI
  90. A comprehensive risk assessment model for blowouts on drill ships: An extended FMEA integrated with IVN-Fuzzy SWARA&EDAS
    Seher Suendam Arici, Emre Çakmak, Agus Hasan, Emre Akyüz · 2026 · Journal of Loss Prevention in the Process Industries
  91. Accelerated and Performance‐Enhanced Learning for Neural Model Predictive Control
    Anran Li, John Swensen, Mehdi Hosseinzadeh · 2026 · IET Control Theory and Applications
  92. Cloud-Based Dataset Validity Analysis for Enhancing AI Model Performance
    Shadi M. Saleh, Ganpat Bahadurlal Kalal, Batbayar Battseren, Wolfram Hardt · 2025 · International Symposium on Computer Science and Educational Technology (ISCSET)
  93. Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems
    Sena Dikici, Turgay Tugay Bilgin · 2026 · Expert Systems
  94. WaveUNet: An efficient deep network based on discrete wavelet transform and attention mechanism for InSAR phase unwrapping
    Wenfei Mao, Hongquan Xiang, Xue Cheng, Guoxiang Liu, Xiaowen Wang, Rui Zhang, Oriol Monserrat, Michele Crosetto · 2026 · ISPRS Journal of Photogrammetry and Remote Sensing
  95. Optimization of renewable-integrated energy systems via artificial intelligence: Review and perspective
    Shuoan Chen, Luolin Xiong, Mo–Yuen Chow, Yang Tang · 2026 · Cyber-Physical Energy Systems
  96. The Influence of Data Clustering on the Generalization Properties of Neural Networks Using the Example of Determining the Geographical Origin of Wine
    Alexan A. Khalafyan, З. А. Темердашев, A. G. Abakumov, Vera Akinshina · 2026 · Foods
  97. A deep learning and unmanned aerial vehicle framework for autonomous structural monitoring and crack detection
    Krishna Vamshi Ganduri, Bhargav Prajwal Pathri, Hemachandran K, Praveen Kumar Kommu, Vishal Kumar Sharma · 2026 · Engineering Applications of Artificial Intelligence
  98. Data-centric benchmark for label noise estimation and ranking in remote sensing Binary building segmentation
    Keiller Nogueira, Codruț‐Andrei Diaconu, Dávid Kerekes, Jakob Gawlikowski, Cédric Léonard, Nassim Ait Ali Braham, June Moh Goo, Zichao Zeng, Zhipeng Liu, Pallavi Jain et al. · 2026 · Neurocomputing
  99. Machine Learning in Biomass Valorization for Energy and Fuels: A Review and Perspectives on Feature Representation and Process Decision-Making
    Yitong Niu, Ting Han, Chee Keong Lee, Cheu Peng Leh · 2026 · Energy & Fuels
  100. Developing of a multi-angle and varied walking conditions dataset for human gait recognition
    José Misael Burruel Zazueta, Hector Rodriguez-Rangel, Vicenç Puig, Manuel Alejandro Medrano-Diaz, Sofía Isabel Fernández Gregorio, Luis Alberto Morales-Rosales · 2024 · Engineering Applications of Artificial Intelligence