Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum by Kuangyi Jiang, Kai Zhou, Xiang Ren, Yefei Xu

“…The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. …”
Get full text

Optimizing Artificial Intelligence Thresholds for Mammographic Lesion Detection: A Retrospective Study on Diagnostic Performance and Radiologist–Artificial Intelligence Discordance... by Taesun Han, Hyesun Yun, Young Keun Sur, Heeboong Park

“…Lesion characteristics, breast density, AI scores, and pathology results were collected. A receiver operating characteristic (ROC) analysis was conducted to determine the optimal thresholds via Youden’s index. …”
Get full text

Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

Get full text

Graphene metasurfaces biosensor for COVID-19 detection in the infra-red regime by Hussein A. Elsayed, Jacob Wekalao, Ahmed Mehaney, Haifa E. Alfassam, Mostafa R. Abukhadra, Ali Hajjiah, Wail Al Zoubi

“…The dual-band detection mechanism, combined with the integration of advanced materials and machine learning optimization, offers a promising platform for rapid, label-free, and highly sensitive COVID-19 detection. …”
Get full text

Deep Learning Strategies for Detecting and Mitigating Cyber-Attacks Targeting Water-Energy Nexus by Ahmed Abughali, Mohamad Alansari, Ameena S. Al-Sumaiti

Get full text

Reading Lips: An Analytical Framework for Adversarial Passive Detection of Wireless Traffic in IoT Ecosystems by Abdallah Farraj, Eman Hammad

“…Specifically, we focus on “adversarial traffic detection attacks” and explore their mechanics, develop an analytical framework for optimal attack strategies, and demonstrate how adversaries might employ algorithmic techniques to enhance their attack effectiveness. …”
Get full text

Research on Arc Fault Detection Based on Conditional Batch Normalization Convolutional Neural Network with Cost-Sensitive Multi-Feature Extraction by Xin Ning, Tianli Ding, Hongwei Zhu

Get full text

Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment by Faten Khalid Karim, José Varela-Aldás, Mohamad Khairi Ishak, Ayman Aljarbouh, Samih M. Mostafa

“…Additionally, the method utilizes the Chameleon Optimization Algorithm (COA)-based feature selection (FS) approach to identify the optimal feature set. …”
Get full text

Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO by Piyush Singh, V. M. S. R. Murthy, Dheeraj Kumar, Simit Raval

Get full text

Design of an Underwater Robot System for Detecting Defects in Hydraulic Structures at Hydropower Stations by ZHANG Yi, ZHU Jun, YUAN Qingqing, WENG Yewei, PENG Shidong, SHEN Weige

“…Current defect detection techniques for hydraulic structures at hydropower stations are conducted by inspection robots or divers, facing challenges such as limited inspection methods and the impact of water currents. …”
Get full text

AH-YOLO: An Improved YOLOv8-Based Lightweight Model for Fire Detection in Aircraft Hangars by Li Deng, Zhuoyu Wang, Quanyi Liu

Get full text

Real-Time Detection of Milk Adulteration with a Portable Multispectral Analysis Device: A Multispectral Sensor and Optimized Logistic Regression Approach by Mahmut Durgun

“…This study presents the development of a portable, low-cost, and edge computing-based system for real-time milk adulteration detection. Utilizing an AS7265x multispectral sensor and Arduino Nano 33 BLE Sense microcontroller, this system employs an optimized logistic regression model to identify starch adulteration in milk samples with near-perfect accuracy. …”
Get full text

Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…Since the edge detectors, the median filter, and the object cleaning operation all require the appropriate selection of tuning parameters, this study relies on the differential flower pollination algorithm as a metaheuristic to optimize the image processing-based crack detection model. …”
Get full text

Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

Get full text

GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…The proposed system implements three key innovations: (1) Architectural optimization through replacement of the Spatial Pyramid Pooling Cross Stage Partial Connections (SPPCSPC) module with GhostSPPCSPC for expanded receptive field representation. (2) Integration of a parameter-free attention mechanism (SimAM) with refined pooling configurations to boost multi-scale detection sensitivity, and (3) Strategic deployment of depthwise separable convolutions (DSC) to reduce computational complexity while maintaining detection fidelity. …”
Get full text

Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…Autonomous Underwater Vehicles (AUVs) operating in dynamic, constrained underwater environments demand sophisticated navigation and detection fusion capabilities that traditional methods often fail to provide. …”
Get full text

Development and Optimization of a Gas Chromatography–Mass Spectrometry Analytical Method for Detecting Sulfolane and Benzene Toluene, Ethylbenzene, and Xylenes in Water Samples by Merrik Kobarfard, Alexander Sweett, Jennie Hansson, Beth Parker, Tadeusz Górecki

Get full text

Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology by Hassan Hosseinzadeh asl, Ghasem Tohidi, F. Movahedi, E. Hassannayebi

“…In this paper, the performance of the benzene gas detection sensor in the air is optimized by an experimental design method. …”
Get full text

Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach by David Agustriawan, Adithama Mulia, Marlinda Vasty Overbeek, Vincent Kurniawan, Jheno Syechlo, Moeljono Widjaja, Muhammad Imran Ahmad

Get full text

Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms by Parul Dubey, Pushkar Dubey, Celestine Iwendi, Cresantus N. Biamba, Deepak Dasaratha Rao

“…It combines the feature extraction capabilities of ResNet50 with the efficiency of MobileNetV2. The HFSO algorithm optimizes crucial parameters such as detection thresholds and learning rates. …”
Get full text