Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques by K. Varalakshmi, J. Kumar

“…Extensive simulations, evaluated using accuracy, precision, recall, F1-score, and latency, demonstrate superior performance over traditional methods, minimizing false positives and enhancing fault detection reliability. …”
Get full text

Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

Get full text

A Simple Real-Time Method for Detecting Low Performance in Wet High-Intensity Magnetic Separators (WHIMSs) Due to Coil Malfunction by Ricardo B. Ventura, Alan K. Rêgo Segundo, Thiago A. M. Euzébio

“…While the existing literature extensively discusses WHIMS performance under varying operational conditions, there is a notable absence of attention to the degradation of coils over time and methods for its detection. In this paper, we address this gap by proposing a novel approach to detect coil degradation in WHIMSs, enabling timely maintenance interventions to maintain optimal performance. …”
Get full text

Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

Get full text

Standardization and validation of a novel reverse transcriptase polymerase chain reaction method for detecting virulent strains of the infectious bursal disease virus by Vladimir Longa-Bobadilla, Phillip Ormeño-Vásquez, Manuel Criollo-Orozco, Luis Tataje-Lavanda, Katherine Huamán-Gutierrez, Ángela Montalván, Mirko Zimic, Manolo Fernández-Sanchez, Manolo Fernández-Díaz

Get full text

Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…This paper focuses on optimizing sensor placement in structures for load monitoring applications. …”
Get full text

Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…This study introduces an innovative, lightweight deep learning system optimized for real-time seizure detection in personalized wearable devices. …”
Get full text

Multi-objective optimization of heat transfer performance of power battery cold plate based on bionic spider web flow channel by Junfu Qiao, Jinqin Guo, Yongwei Li

Get full text

Oestrus detection and optimal insemination time of sows using infrared sensors by WANG Kai-ying, MIAO Xiang-wen, XIE Jiang-ming, Coen M Hogenboom, SHAO Sheng-yu

“…Oestrus detection and optimal insemination time of 38 sows were studied using infrared sensors. results showed that the positive detection rate of this system was higher than that of man-watching method, its rate was 84.2%. …”
Get full text

Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…The experimental validation was carried out in a typical outdoor scenario, and the results highlight the proposed method’s ability to mitigate undetected fault impacts, improve detection sensitivity, and significantly reduce alarm response times across step, ramp, and multi-fault mixed scenarios. …”
Get full text

Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

Get full text

PFAS residue analysis in fish and fish feed by applying a modified QuEChERS method in combination with LC-HRMS detection by Ourania Koloka, Vasiliki Boti, Dimitra Hela, Triantafyllos Albanis, Ioannis Konstantinou

“…A targeted method for the quantitative determination of PFAS residues in fish feed and marine aquaculture fish species was developed and validated in the current study. …”
Get full text

Efficient deep learning based rail fastener screw detection method for fastener screw maintenance robot under complex lighting conditions by Yijie Cai, Ming He, Bin Chen

Get full text

CrossGraphNet: a cross-spatiotemporal graph-based method for traffic speed reconstruction using remote sensing vehicle detection by Yan Zhang, Mei-Po Kwan, Jiannan Cai, Jianying Wang, Peifeng Ma

“…This study proposes a novel cross-spatiotemporal graph-based network method to rapidly reconstruct traffic flow speed based on remote sensing images. …”
Get full text

A rapid method for detecting trace Rb and Cs in high-salinity brines by ICP-MS equipped with an all-matrix sampling device by Xiuzhen Ma, Xin Liu, Zhe Ma, Guojing Zhu, Yubin Li, Qi Wei, Dan Ma

“…The method demonstrates excellent limits of detection (LOD: 0.039 μg·L−1 for Rb; 0.005 μg·L−1 for Cs), high precision (RSD < 5%), and acceptable recovery rates (85%–108%). …”
Get full text

From Meta SAM to ArcGIS: A Comparative Analysis of Image Segmentation Methods for Monitoring Refugee Camp Transitions by Noor Marji, Michal Kohout

“…Using high-resolution satellite imagery from Al-Azraq refugee camp in Jordan (2014–2023) as a case study, this research systematically assesses each method’s performance in detecting and quantifying settlement pattern changes. …”
Get full text

Detection of capsaicin content by near-infrared spectroscopy combined with optimal wavelengths by LÜ Xiaohan, JIANG Jinlin, YANG Jing, CHEN Jianying, CEN Haiyan, FU Hongfei, ZHOU Yifei

“…Three different variable selection methods with successive projection algorithm (SPA), competitive adaptive reweighted sampling (CARS) and uninformation variable elimination (UVE) were performed to select the optimal wavelengths. …”
Get full text

A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…Wavelet-based edge detection methods have evolved significantly over the years, contributing to advances in image processing, computer vision, and pattern recognition. …”
Get full text

An observational study to determine the optimal physical evaluation site for detecting anemia by Ken Horibata, Seigo Kondo, Shuji Hashimoto, Yousuke Takemura

“…Therefore, this study aimed to investigate the correlation between skin and mucosal color, as measured by a spectrophotometer, and venous hemoglobin (Hb) values, to identify the optimal anatomical assessment site for detecting anemia. …”
Get full text

Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application by Murat Demir

“…Metaheuristic methods are optimization methods that look for different ways to converge to a solution to a problem where it is difficult to find a solution analytically. …”
Get full text