CO2 Gas Layer Recognition Method Based on Long Short-Term Memory Network by HE Lina, WU Wensheng, WANG Xiannan, ZHANG Wei, ZHANG Chuanju, SONG Xiaoyu

“…With the gradual rise of artificial intelligence, deep learning technology is widely used in geophysical logging. …”
Get full text

Design and simulation of a 5 KW solar-powered hybrid electric vehicle charging station with a ANN–Kalman filter MPPT and MPC-based inverter control for reduced THD by Youness Hakam, Hajar Ahessab, Ahmed Gaga, Mohamed Tabaa, Benachir El Hadadi

Get full text

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction by Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo

“…Big data and artificial intelligence (AI), especially machine learning (ML), are robustly contributing to innovation and progress in toxicology research. …”
Get full text

Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

“…This paper’s innovation lies not in creating algorithmic components from scratch, but in their synergistic integration and targeted optimization to solve the specific challenges of real-time defect detection on resource-constrained edge devices. …”
Get full text

LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection by Kamal Chandra Paul, Chen Chen, Yao Wang, Tiefu Zhao

“…While traditional artificial intelligence-based algorithms can be effective, they often involve high computational complexity, limiting their real-time implementation on resource-constrained edge devices. …”
Get full text

Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

“…In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. …”
Get full text

Field Study of UAV Variable-Rate Spraying Method for Orchards Based on Canopy Volume by Pengchao Chen, Haoran Ma, Zongyin Cui, Zhihong Li, Jiapei Wu, Jianhong Liao, Hanbing Liu, Ying Wang, Yubin Lan

Get full text

Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs by Alexandra Vultureanu-Albişi, Ionuţ Murareţu, Costin Bădică

“…Recommender systems have evolved significantly in recent years, using advanced techniques such as explainable artificial intelligence, reinforcement learning, and graph neural networks to enhance both efficiency and transparency. …”
Get full text

Development of an AI-Based Image Analysis Model for Verifying Partial Defects in Nuclear Fuel Assemblies by Seulah Kim, Dayun Park, Hyung-Joo Choi, Chulhee Min, Jaejoon Ahn

“…This study aims to increase the accuracy of SNF defect detection by optimizing artificial intelligence (AI)-based classification algorithms. …”
Get full text

Development and testing of an open source mobile application for audiometry test result analysis and diagnosis support by Michał Kassjański, Marcin Kulawiak, Tomasz Przewoźny, Dmitry Tretiakow, Andrzej Molisz

“…The scanned audiogram is analysed by a clinically validated AI model for classification of audiometric test results, providing clinicians with valuable assistance in formulating a diagnosis. All implemented algorithms and models were optimized for functionality on mobile devices. …”
Get full text

SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…In pig farming, multi-object tracking (MOT) algorithms are effective tools for identifying individual pigs and monitoring their health, which enhances management efficiency and intelligence. …”
Get full text

Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

Get full text

CPT-DF: Congestion Prediction on Toll-Gates Using Deep Learning and Fuzzy Evaluation for Freeway Network in China by Tongtong Shi, Ping Wang, Xudong Qi, Jiacheng Yang, Rui He, Jingwen Yang, Yu Han

“…The successful prediction could extend to the real-time prediction and early warning of traffic congestion in the toll system to improve the intelligent level of traffic emergency management and guidance on the key road of disasters to some extent.…”
Get full text

Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions by Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh

Get full text

A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions by Amir Sohail Habib, Saif Ur Rehman Khan, Ebubeogu Amarachukwu Felix

“…Existing search‐based TSR approaches are classified into five main categories, including evolutionary‐based, swarm intelligence‐based, human‐based, physics‐based, and hybrid, grounded on the type of employed search algorithm. …”
Get full text

Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

Get full text

Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network by Yirui Jiang, Shan Zhao, Hongwei Li, Huijing Wu, Wenjie Zhu

Get full text

Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

Get full text

Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“… AbstractArtificial intelligence (AI) and quantum computing will change the course of new drug discovery and approval. …”
Get full text

Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming by Abdul Wahid, Syed Zain Ul Abideen, Nouman Imtiaz, Mian Muhammad Kamal, Abdullah Alharbi, Amr Tolba, M. A. Al-Khasawneh, Inam Ullah

“…To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. …”
Get full text