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Comparative Evaluation of Machine Learning Models for Short- and Long-Term Prediction of Major Adverse Cardiovascular Events

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QoS Awareness and Improved Throughput of Point Cloud Services With Dynamic Workloads

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OLC-WA: Drift aware tuning-free online classification with weighted average

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Mechanism-informed machine learning for rational catalyst design: application to regioselectivity of allyl acetate hydroformylation

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Insights into the behavior and performance of Linear Structured Filter Coefficients (LSFC) in solving one-dimensional inverse heat conduction problems

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DDOS attack detection with data imperfections using machine learning algorithms

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Sağlık Sektöründe Dijital Dönüşüm ve Veri Analitiği Uygulamaları

İmak, A., Ünlükal, C., & Göçmen, E. (2025) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub1072.c4240

Prediction of circRNA-Drug Associations Based on Bipartite Graph Transformer

Zhang, Z., Zhang, Y., & Lei, X. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3649178

A Seismic Horizon Identification Method Based on scSE-VGG16-UNet++

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Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AIPreprint

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Technical Language Processing in Manufacturing Applications

Ansari, F., Erkoyuncu, J. A., Kölbl, J., & Vrabič, R. (2026) · Lecture notes in mechanical engineering · doi:10.1007/978-3-032-04439-6_1

Introduction to Large Language Models

Benedetti, A. (2025) · Springer eBooks · doi:10.1007/978-3-032-01563-1_1

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Lima, T. G. L. (2025) · Global political sociology · doi:10.1007/978-3-032-05954-3_3

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Learnable Relational Knowledge Distillation For Language Model Compression

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Homogeneous ridge polynomial neural network training by PS module asynchronous gradient method

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Santos, S. J. S. (2024) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

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Limão, C. H. E. (2023) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

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Martins, G. B. (2023) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

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Cajal’s Neuron Doctrine: 1898–

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Study of Biodiversity and Ecology Using a Machine Learning Approach

Jeniffer, J. T., & Thatheyus, A. J. (2026) · Earth and environmental sciences library · doi:10.1007/978-3-032-11426-6_15

The Transistor Moment: A Paradigm Beyond the Vacuum Tube Epoch of AIPreprint

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3D-based contact-less fingerprint acquisition

Ruzicka, L. (2025) · reposiTUm (TU Wien) · doi:10.34726/hss.2025.111502

Minding the gap between artificial and biological computing paradigms for biologically loyal AI

Kirkpatrick, K. L. (2026) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2025.1695493

Classification by separating hypersurfaces: An entropic approach

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Dataflow-Driven Neuromorphic Architectures for Edge AI: Theory, Design, and Applications

Kim, B., Mehta, P., & Chen, Y. (2025) · International Congress of Mathematicans · doi:10.1109/icm66518.2025.11321320

From Current-Controlling Field-Effect Device to Intelligent Machines: How a Tiny Switch Sparked the Computing Revolution and Modern Artificial Intelligence

Saha, S. K. (2026) · IEEE electron devices reviews. · doi:10.1109/edr.2026.3651179

Writing and spelling disorder detection using artificial intelligence

Βιολέντης, Α. Ι. (2025) · University of Thessaly Institutional Repository (University of Thessaly)

Machine Learning-based Classification of Cognitive Workload via In-ear EEG

Cisotto, G., Canini, M., Minchella, M., & Badia, L. (2025) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc65549.2025.11326062

AI Methods: Understanding AI Models, Radiomic Analysis and Performance Metrics in Medical Imaging

Grigorescu, I., Mushari, N. A., Tsoumpas, C., & Deprez, M. (2026) · Springer eBooks · doi:10.1007/978-3-032-05080-9_2

DPTMS: data-physics coupling thermo-mechanical simulation method of quenching process

Xu, Y., Zhao, Z., & Yan, J. (2026) · Engineering With Computers · doi:10.1007/s00366-025-02234-9

A Self-Training and Semi-Supervised-Based Microservice Performance Prediction Method for Cloud-Native Microservices

Cao, R., Hao, J., & Xia, H. (2025) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads67057.2025.11322940

Artificial Neural Networks in Textile

Azeggagh, M. A., Azzouzi, A., & Guessasma, S. (2025) · International Conference on Artificial Intelligence and Automation Control (AIAC) · doi:10.1109/aiac68175.2025.11332413

Machine learning framework for an automated BOQ task-matching process

de Sousa, L. R. J. (2025) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

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Mizraji, E. (2025) · De Gruyter eBooks · doi:10.1515/9783112230053-004

Mobi 2 Still: People Detection and Tracking With Mobile Human-Equipped mmWave Radars

Li, Y., Xu, D., Liang, K., Zeng, H., Xu, L., Ma, H., & Zhou, A. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3656239

Dynamic Neural Radiance Fields Based on Camera Pose Estimation Using Monocular Vision

Fu, G., Li, F., He, M., & Kuang, P. (2025) · International Conference on Machine Learning and Computer Application (ICMLCA) · doi:10.1109/icmlca66850.2025.11336467

Bridging optics and machine learning: revisiting correspondence imaging via linear classification

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Hevea Clone Identification using Deep Learning

Romruensukharom, T., & Nonsiri, S. (2025) · International Conferences on Information Technologies and Electrical Engineering · doi:10.1109/icitee66631.2025.11338251

Facial Recognition Using ML and DL: From Feature Extraction to Real-Time Implementation using ESP32 Cam

Chelali, F. Z., Hadjih, A., & Kamal, A. C. (2025) · International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA) · doi:10.1109/ic2sda68097.2025.11331574

Ligand-based machine learning models to classify active compounds for prostaglandin EP2 receptor

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Explaining Machine Learning and Memorization with Statistical MechanicsPreprint

Thériault, R. (2026) · arXiv (Cornell University) · doi:10.25429/theriault-robin_phd2026-01-15

Development and optimization of a morphodiversity model for mountainous areas using supervised classification and artificial neural networks

Bartuś, T. (2026) · Scientific Reports · doi:10.1038/s41598-026-36326-3

Comparison of Different Classification Models to Predict Mortality Among Patients Diagnosed with Acute Kidney Injury

Renukadevi, S., Harichandrakumar, K. T., Ganapathy, S., Priyamvada, P. S., & Nair, N. S. (2026) · Indian Journal of Nephrology · doi:10.25259/ijn_411_23

Intelligence artificielle et banques de données

Hennocq, Q. (2026) · EMC - Chirurgie orale et maxillo-faciale · doi:10.1016/s2352-3999(25)49562-4

Third-Order Hybrid Finite Volume WENO Method with a Multilayer Perceptron Troubled-cell Indicator for Hyperbolic Conservation Laws

Hu, R., Shu, C., & Zhang, Y. (2026) · Journal of Scientific Computing · doi:10.1007/s10915-026-03193-z

Autonomous Like Us? Machinic Copies and Human Models in the Age of AI

Anzalone, M. (2026) · Integrated science · doi:10.1007/978-3-032-14537-6_1

SCFNNs: Stochastic Computing Fuzzy Neural Networks

Farhadi, M., Witold Pedrycz, C., & Han, J. (2026) · IEEE Embedded Systems Letters · doi:10.1109/les.2026.3657298

Harnessing deep learning for chaotic time series forecasting: a performance comparison of different methods and models

jiang, L., Wang, Q., Yan, L., Lin, H., He, X., Feng, J., Yi, A., & Pan, W. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-025-12016-z

Nonlinear responses of phytoplankton to environmental factors in the northern South China Sea under global warmingPreprint

Wang, J., Yan, Y., Feng, Y., Wen, C., & Yang, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6137510

Kolmogorov Arnold Network vs Long Short Term Memory Performance in Time Series ForecastingPreprint

Sukhorukova, N., Rather, T. A., Joy, S. M. M. H., & Frascoli, F. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6144987

Thermal performance optimization in CuO-water nanofluid enclosure with sinusoidal heating using deep learning and multi-expression programming

Ullah, N., Bibi, A., Nie, Y., & Lu, D. (2026) · Acta Mechanica Sinica · doi:10.1007/s10409-025-24720-x

Machine Learning Applications in Fluid Mechanics

Ahadi, A., Baei, P. H., & Sheikholeslami, M. (2026) · Wiley eBooks · doi:10.1002/9781394433605.ch2

Introduction to Methods in Artificial Intelligence and Cognitive Neurology

Magee, R. K., & Mupparapu, M. (2026) · Dental Clinics of North America · doi:10.1016/j.cden.2025.11.002

Data-driven classification for biological applications through machine learning

Oliva, A. O., & Seshaiyer, P. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-327452-7.00019-1

Harnessing synthetic biology for energy-efficient bioinspired electronics: applications for logarithmic data converters

Oren, I., Gupta, V., Habib, M., Shifman, Y., Shor, J. S., Danial, L., & Daniel, R. (2026) · Communications Engineering · doi:10.1038/s44172-026-00589-5

From Algorithmic Thinking to Thinking Machines: Four Theses on the Position of Artificial Intelligence in the History of Technoscience

Pasquinelli, M. (2026) · Springer eBooks · doi:10.1007/978-3-658-44521-8_103

Estimation of groundwater storage change using evaporation data: a comparison between neural network architecturesPreprint

Lora, A. R., Moctezuma, D., & Ovando‐Vázquez, C. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6175745

Optimización de carteras de inversión con redes neuronales y algoritmos genéticos

Pérez, J. G. (2025) · UPCommons institutional repository (Universitat Politècnica de Catalunya)

Algorithm and procedure of machine learning methods

Kang, G., Kan, Q., Zhang, X., Hu, Y.-N., & Li, X. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44615-3.00005-3

Introduction to Machine Learning Algorithms

Khanna, V. K. (2026) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003423089

How Minds Relate to Machines

Du, Y. (2026) · Studies in applied philosophy, epistemology and rational ethics · doi:10.1007/978-3-032-15842-0_2

Sustainability-Oriented Demand Forecasting and Distribution Network Optimization Using Artificial Neural NetworksPreprint

Vural, M. A., & Akay, M. K. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6210554

Fundamentals of convolutional neural networks

Bhattacharya, S., Dasgupta, A., Sengupta, A., & Dutta, K. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33082-7.00019-x

Diagnosis of schizophrenia using convolutional neural networks based on multichannel electroencephalography signal

Zemła, S., Orlicki, H., Fudala, M., Polak, J., Knapik, A., & Książek, W. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33082-7.00026-7

Efficient Multivariate Time Series Forecasting with SC-TWRNet: Combining Adaptive Multi-Resolution Wavelet and Parallelizable Decomposition

Chen, Y., & Li, H. (2026) · Algorithms · doi:10.3390/a19020155

422 Künstliche Intelligenz

Bruderer, H. (2026) · De Gruyter eBooks · doi:10.1515/9783112210222-002

Analytical Review and Implementation of Modern Gradient Descent Techniques

Vijayan, V. (2025) · Kristu Jayanti Journal of Computational Sciences (KJCS) · doi:10.59176/kjcs.v5i1.2539

Brain-Inspired Learning and the Dynamic Interplay Between Neuroscience and Computer Science

Δικαίος, Ν., Kastis, G. A., & Protonotarios, N. Ε. (2026) · IT Professional · doi:10.1109/mitp.2025.3635775

AI and Algorithms: What Digital Technology Can Teach Us About Content

Bachimont, B. (2026) · Lecture notes in morphogenesis · doi:10.1007/978-3-032-08726-3_2

Resource-efficient approaches for predicting cutting forces under tool wear in turning nickel-based alloys for industrial applications: comparison of a White-Box and Black-Box model

Geißel, L., Stegmair, S., & Wiederkehr, P. (2026) · Procedia CIRP · doi:10.1016/j.procir.2025.08.197

Novel Design of Machine Learning Based Surface Defect Detection Systems

Kim, S.-K., & Su, R. (2026) · International Conference on Electronics, Information, and Communication (ICEIC) · doi:10.1109/iceic69189.2026.11386041

Proposal of a Simple Perceptron Circuit Based on Neuron-CMOS with Adjustable Weights

Hasegawa, T., Hokari, N., Furukawa, H., & Fukuhara, M. (2025) · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · doi:10.1109/ispacs68724.2025.11382815

Numerical Investigation of Plasma Vertical Growth Rate in Vertical Displacement Events on EAST

Wu, G., Guo, Y. X., & Chengyue, L. I. U. (2026) · IEEE Transactions on Plasma Science · doi:10.1109/tps.2026.3662360

Air Temperature Estimation Using Multivariable Analysis and Various Algorithm on Automatic Weather Station

Lukito, I. S., Wicaksana, H. S., Sulistya, W., Santoso, & Fachruddin, I. (2025) · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · doi:10.1109/ispacs68724.2025.11383436

Energy-Efficient Neuromorphic Hardware. Design and Optimization of Brain-Inspired Computing Paradigms for Spiking Neural Networks

Carpegna, A. (2025) · PORTO@Iris · doi:10.13121/polito/porto/3004036

Inteligência artificial no diagnóstico

Furlanetti, E. F. M. (2025) · doi:10.47749/t/unicamp.2025.1509322

TWRNet: Adaptive Multi-Res Wavelet Filtering for Enhanced Time Series Forecasting

Ji, C., Chen, Y., Qin, J., Sun, Z., Zhang, W., & Wang, Z. (2025) · IEEE Smart World Congress (SWC) · doi:10.1109/swc65939.2025.00243

Enhancing Coastal Dew Point Prediction: A Hybrid Deep Learning Framework for Southeastern BangladeshPreprint

Jahan, I., Bhadra, D., Khan, M. M. H., & Rois, R. (2026) · Research Square · doi:10.21203/rs.3.rs-8927564/v1

BiGCN Learns B Cell Functional States by Integrating Single‐Cell Transcriptomes and BCR Repertoires

Liu, X., Huang, J., Zhao, S., Wang, S., Wei, G., Liu, Y., Jiao, P., & Xiang, D. (2026) · Small Methods · doi:10.1002/smtd.202501919

A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains

Payne, A. J. S., Hopkins, G., Gowda, S. N., Trigucro, I., & Pound, M. P. (2025) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw69036.2025.00741

The Aalto Dictionary of Machine Learning : Course Edition CS-E4740 Federated Learning

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Structure of solutions to continuous constraint satisfaction problems through the statistics of wedged and inscribed spheres

Kent-Dobias, J. (2026) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ae4587

A lightweight detection model for fruit flies based on KSGM-OMN

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Bezerra, N. S., & dos Reis, F. J. C. (2026) · Revista Foco · doi:10.54751/revistafoco.v19n2-084

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