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Evaluation of Machine Learning Approaches for Flood Hazard Mapping Over the Argens Basin, France

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Neural network classification of granular flows from audio signals: preliminary results

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Clustering molecular energy landscapes by adaptive network embedding

Mercurio, P., & Лю, Д. (2024) · Journal of Materials Informatics · doi:10.20517/jmi.2023.40 · Cited by 1

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An experiment with ANNs and Long-Tail Probability Ranking to Obtain Portfolios with Superior Returns

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Machine Learning Assisted Exploration for Affine Deligne–Lusztig Varieties

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Forecasting U.S. Fossil Energy Consumption: Advancing Accuracy with Multilayer Perceptron and Residual Learning

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The roles of symmetry and elongation in developing reference frames

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Differential impedance analysis — Extensions and applications in machine learning

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Deep And Machine Learning in Psychology- A Survey of Depression Detection, Diagnosis, and Treatment Progress

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An Introduction of Statistical Learning for Engineers

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An integrated approach to importance sampling and machine learning for efficient Monte Carlo estimation of distortion risk measures in black-box models

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The Relationship between the Concepts of “Artificial Intelligence” and “Artificial Neural Networks” in Forensic Expertology

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Predicting HPAM Polymer Yield Viscosity using Neural Networks

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Applications of Physics-Guided Machine Learning Architectures in Hydrology

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Computational Approaches to Concepts Representation: A Whirlwind Tour

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TinyBERT for branch prediction in modern microprocessors

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Three Eras of Computational Logics of Discovery: Deductive Past, Inductive Present, and Abductive Future

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基于多层感知机的荧光波动超分辨显微成像

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Public Dataset for Simultaneous Human Activity Recognition and Localization using WiFi Signals

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Computing, Representations, and Definitions of Artificial Intelligence

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Artificial intelligence in pathology: Easing the burden of annotation

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Relative humidity prediction across the Indian subcontinent using Kumaraswamy distribution based non-Gaussian model

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A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers

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How neural networks work: Unraveling the mystery of randomized neural networks for functions and chaotic dynamical systems

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IMPROVING NETWORK INTRUSION DETECTION USING THE MINI-VGGNET ARCHITECTURE: TACKLING CHALLENGES OF IMBALANCED DATA.

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Efficient Naval Surveillance: Addressing Label Noise with Rockafellian Risk Minimization for Water Security

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ANN Models for Prediction of Thermodynamic Properties in Dense Gas Flow

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Exploring Context Information in Camera and Lidar-Based 3-D Object Detection Using Graphs and Transformers

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Advancing liposome and extracellular vesicle characterization through deep learning-enhanced optical trapping and nanoparticle tracking

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A Survey on Evolutionary Algorithms Based Machine Learning Approaches for Medical Diagnosis

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Overview of artificial intelligence methods and data analysis techniques suitable for subsurface datasets

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Artificial Neural Network Prediction of pH in Nylon 66 Salt Solutions: A Machine Learning Approach

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Easing Optimization Paths: a Circuit Perspective

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Deep Learning Algorithms for Behavioral Understanding of Mental Health

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Advanced Control Algorithms for Dynamic Environment Navigation and Obstacle Avoidance

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结合空间几何信息和全局特征的无人机图像三维重建模型

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Artificial Intelligence in Predicting Hard Tissue Regeneration: Current Situation and Upcoming Perspectives

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Machine Learning Approach in the Prediction of Differential Cross Sections and Structure Functions of Single Pion Electroproduction in the Resonance Region

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Speech emotion recognition using long-term average spectrum

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The Panorama of Artificial Intelligence – Development or Advancement?

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Enhancing stone provenance studies through software built with language model artificial intelligence (AI): An example of ancient Calabrian quarries (southern Italy)

Miriello, D., & Luca, R. D. (2025) · Archaeometry · doi:10.1111/arcm.13091 · Cited by 1

Mathematical Models of Neural Networks: Bridging the Gap between Biology and Computation

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Non-contact Detection of Sleep Apnea Using Multi-Timescale Cardiopulmonary Features

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A Review of Various Prediction Techniques in the Context of Traffic Congestion Prediction

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Comparing modern machine learning approaches and different forecast strategies on Grand Slam tennis tournaments

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A Real-Time Semi-Supervised Log Anomaly Detection Framework for ALICE O2 Facilities

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Who Created the World(s) and How? A Thought Experiment Among Science Fiction, Physics, and Theology in the Novella Professor A. Dońda by Stanisław Lem

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From the perceptron to the cerebellum

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Hyperparameter optimization of a deep radial basis neural learning approach for wind speed forecasting

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Evolution and challenges of ChatGPT in higher education: an analysis of the conceptualization and applications in the first six months of public access

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Cerebellar Micro Complex Model Using Histologic Boolean Mapping Simulates Adaptive Motor Control

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A Method of Malware Detection Using Machine Learning Algorithm

Nagendrababu, N. C., Varadaraju, H. R., & Muniraju, M. (2025) · International Conference on Knowledge Engineering and Communication Systems (ICKECS) · doi:10.1109/ickecs65700.2025.11035095 · Cited by 1

Análisis de la conexión de Google charts a bases de datos y otras fuentes para visualización dinámica de datos

Cevallos-Ronquillo, C. M., Farías, G. W. T., de la Rosa, A. P. M., & de la Cruz, M. A. D. R. T. (2025) · Revista Científica Multidisciplinar G-nerando · doi:10.60100/rcmg.v6i1.690 · Cited by 1

Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema

Fang, Y., Lin, J., Xie, P., Zhu, H., Ng, T. K., & Zhang, G. (2025) · BMC Ophthalmology · doi:10.1186/s12886-025-04181-x · Cited by 1

Foundations and Frontiers: The Evolution and Impact of Generative AI Technologies

Salloum, S. A., Marzouqi, A. M. A., Gaber, T., Masa’deh, R. M. T., & Shaalan, K. F. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-89175-5_1 · Cited by 1

Chaos-driven dynamics in Morris-Lecar neurons: Implications for real-world classification

Erkan, E., & Erkan, Y. (2025) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2025.130790 · Cited by 1

FAN-Unet: Enhancing Unet with Vision Fourier Analysis Block for Skin Lesion Segmentation

Xu, J., & Zou, Y. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-9949-0_6 · Cited by 1

Frontiers of Spiking Neural Network Encoding Techniques: A Comprehensive Review

Li, Y., Zhang, X., Cheng, H., Guo, S.-L., Li, L., Yu, Y., & Tashi, N. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-9946-9_43 · Cited by 1

Scale Is Not All You Need: Revisiting the Biomimetic Roots of Deep Learning to Overcome Fundamental Limitations

Wahidi, M., Rizk, A., & Imad, R. (2025) · IEEE Access · doi:10.1109/access.2025.3589514 · Cited by 1

Multi-head Block-based Sparse Large Kernel Convolutional Neural Network

Zhang, S., & Liu, Y. (2025) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd64986.2025.11082095 · Cited by 1

Secure Multicenter Medical Model Inference from Homomorphic Encryption

Chen, J., Yang, C., Chen, Y., Zhong, K., Yang, W., Liu, J., Wu, W., & Yi, B. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-0033-8_12 · Cited by 1

Secure Text Mail Encryption with Generative Adversarial Networks

Schelle, A. (2025) · Journal of Information Hiding and Privacy Protection · doi:10.32604/jihpp.2025.067510 · Cited by 1

GAN-assisted data augmentation to enhance detection accuracy of Evasive Spectre attacks

Jiao, J., Jiang, L., & Wen, R. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07691-z · Cited by 1

Rate-Distortion-Complexity Optimized Framework for Multi-Model Image Compression

Hang, X., Ge, Z., Fan, H., Jia, C., Ma, S., & Gao, W. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3598916 · Cited by 1

INTELIGÊNCIA ARTIFICIAL GENERATIVA NA EDUCAÇÃO: UMA PESQUISA SOBRE IMPACTOS E PERCEPÇÕES

Santos, C. E. V., Moreira, L. B., Cerqueira, A. S., de Oliveira, L. F., de Oliveira, V. I., & Yamamoto, R. I. (2024) · South American Development Society Journal · doi:10.24325/issn.2446-5763.v10i29p222-240 · Cited by 1

Attentive Neural Processes for Few-Shot Learning Anomaly-Based Vessel Localization Using Magnetic Sensor Data

Salvador, L. F. F., Tejela, B. V., Almodóvar, A., Parras, J., & Zazo, S. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13091627 · Cited by 1

Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest

Yang, X., Ayed, M. B., Zhao, L., Zhou, F., Shen, Y., Engle, A., Zhuang, J., Leng, L., Xu, J., Rosenberg, C., et al. (2025) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/3705328.3748144 · Cited by 1

Structured multimodal deep learning improves genomic prediction in future environments

Potze, A., van Eeuwijk, F. A., & Athanasiadis, I. N. (2026) · Genetics · doi:10.1093/genetics/iyag204 · Cited by 1

集成微腔在片上光学神经网络中的应用（特邀）

Liying, 朱. Z., Riyao, 张. Z., Hao, 闻. W., Lei, 施. S., & Xinliang, 张. Z. (2025) · Laser & Optoelectronics Progress · doi:10.3788/lop251012 · Cited by 1

微纳尺度光学神经网络：高集成度与高效计算（特邀）

Haoyu, 潘. P., Haitao, 栾. L., & Min, 顾. G. (2025) · Laser & Optoelectronics Progress · doi:10.3788/lop251332 · Cited by 1

Efficient connectivity and intrinsic noise separation in recurrent spiking neural networks trained with e-prop

Noè, D., Yamamoto, H., Katori, Y., & Sato, S. (2025) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ae0826 · Cited by 1

Rapid design of terahertz stereo-metamaterial devices with tandem neural network for efficient polarization conversion

Güngördü, M. Z., Kung, P., & Kim, S. M. (2025) · Optics Express · doi:10.1364/oe.573228 · Cited by 1

ResMLP-informed analytical model of asymmetric Mach reflection on V-shaped blunt leading edges under sideslip conditions and its application to pressure/heating loads

Rao, L., Zhang, T., Lei, F., Shi, C., Zhu, C., & You, Y. (2025) · Aerospace Science and Technology · doi:10.1016/j.ast.2025.110928 · Cited by 1

A new state-of-the-art technique for textural and structural microimager data analysis using deep learning algorithms

Коссов, Г. А., Abashkin, V. V., Egorov, S. S., Makienko, D. O., & Gaeva, V. A. (2025) · Georesursy · doi:10.18599/grs.2025.3.22 · Cited by 1

Detecting Satire in Multimodal News Content

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$U^2$ Frame: A Unified and Unsupervised Learning Framework for LiDAR-Based Loop Closing

Zhang, Y., Ao, S., Zhang, Y., Song, Z., Hu, Q., Chang, T., & Guo, Y. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127309 · Cited by 1

Integrating Load‐Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration

Friedman, S., Averbuch, N., Nevo, T., & Moshelion, M. (2025) · Plant Cell & Environment · doi:10.1111/pce.70222 · Cited by 1

Image Processing for Feature Extraction

Li, H. (2025) · Springer eBooks · doi:10.1007/978-981-96-7344-5_2 · Cited by 1

A machine learning approach for mortality risk prediction of hospitalized COVID-19 patients with diabetes

Gholami, A. Z., Langarizadeh, M., Nahvijou, A., & Sayadi, M. (2025) · Next research. · doi:10.1016/j.nexres.2025.100906 · Cited by 1

Natural, Artificial, and Human Intelligences

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