Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…To address the issues of poor communication quality, high demand for radar detection, and scarce scarcity of spectrum resources for maritime users in coastal waters, an offshore dual-function radar communication (DFRC) system assisted by a shipborne active reconfigurable intelligent surface (ARIS) was studied. …”
Get full text

Very-Large-Scale Integration-Friendly Method for Vital Activity Detection with Frequency-Modulated Continuous Wave Radars by Krzysztof Ślot, Piotr Łuczak, Paweł Kapusta, Sławomir Hausman, Arto Rantala, Jacek Flak

“…A simple algorithm for respiratory activity detection in data produced by Frequency-Modulated Continuous-Wave (FMCW) radars is presented in this paper. …”
Get full text

Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

Get full text

An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

Get full text

Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

Get full text

Toward global rooftop PV detection with Deep Active Learning by Matthias Zech, Hendrik-Pieter Tetens, Joseph Ranalli

“…Recent advances in Deep Active Learning offer the opportunity to significantly reduce the number of required annotated images by intelligently selecting the images to label next based on their informative value for the model. …”
Get full text

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…The purpose of this article is to discuss the state of the art of research and perspectives on APA applications in both research and clinical scenarios. Principles of AI functioning will be addressed. For narrative purposes, AI-based methods are grouped into behavioral-based approaches and neurophysiology-based pain detection methods. …”
Get full text

Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence by Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad

“…Through exploration of these advances, our objective is to provide a comprehensive overview of the leading methods for the early detection of DR. The aim is to discuss the challenges associated with these methods and highlight potential enhancements. …”
Get full text

Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…Details are provided regarding the formation and evolution of the parameter population, design of the objective function, and drift compensation methods utilized during acceleration integration. …”
Get full text

Observation of Brain Functional Connectivity and Activation Characteristics in Children with Attention Deficit and Hyperactivity Disorder Based on Functional Near-Infrared Spectros... by WANG Jing, LIU Yun, HUANG Haoyu, WU Jinting, ZOU Zhuo, CHEN Yingjuan, WEI Xianzhao, SU Hang

“…ObjectiveTo explore the characteristics of functional connectivity in the prefrontal cortex of children with attention deficit hyperactivity disorder (ADHD) at rest and the level of brain functional activation during the Go/No-go task using functional near and infrared spectroscopy (fNIRS).MethodsTwenty-one children with ADHD who visited Kunming Children's Hospital from January 2022 to August 2023 were selected as the study subjects, namely the ADHD group. …”
Get full text

Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method by Zhenyue Qiu, Lei Zhang, Yuan Chi, Zequn Li

Get full text

A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization by Rashmiranjan Nayak, Sambit Kumar Mishra, Asish Kumar Dalai, Umesh Chandra Pati, Santos Kumar Das

Get full text

Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

Get full text

Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

Get full text

Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

Get full text

Effect of Acupuncture Treatment on Cortical Activation in Patients With Tinnitus: A Functional Near-Infrared Spectroscopy Study by Xianghua Yu, Bin Gong, Hao Yang, Zheng Wang, Gaowei Qi, Jie Sun, Yu Fang, Xiaoli Fan

Get full text

Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

Get full text

基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

Get full text

Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies by Jianxian Wang, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hazlee Azil Illias, Agileswari K. Ramasamy, Xingyu Wu, Siqi Wang

“…Following the chronological development of artificial intelligence, the review systematically investigates smart fault detection methods applied to fault scenarios in distribution networks, with a particular emphasis on presenting fault type classification and fault localization separately to facilitate a logically structured understanding. …”
Get full text

An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning by Yan Xia, Yan Xia, Yuli Lv, Feihong Yu, Yiqiang Yang, Yili Yang, Wei Li, Ke Li

“…To address the drawbacks of active methods and passive methods, an intelligent islanding detection strategy based on parameter-optimized variational mode decomposition (VMD) and deep learning was developed. …”
Get full text