ANFIS Models for Fault Detection and Isolation in the Drive Train of a Wind Turbine by Zakaria Zemali, Lakhmissi Cherroun, Nadji Hadroug, Ahmed Hafaifa

“…The paper aims to improve the fault detection and isolation process in wind turbine systems by developing intelligent systems that can effectively identify and isolate faults. …”
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Pressurized Water Reactor Transient Detection With Artificial Intelligence to Support Reactor Operators by Ceyhun Yavuz, Senem Şentürk Lüle

“…For the 93 features of the system selected based on reactor operation, simulations produced 475.695 data points stored in 5115 rows, 4085 of which were committed to training and 1030 to the validation process. The three methods for reinforced machine learning to detect transients, K-nearest neighbors, decision tree classifier, and random forest classifier, have been implemented. …”
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A DR Detection Method Incorporating Multi-scale Techniques and Parallel Networks by CHEN Yu, XU Shibao

“… A PM-Net model ( Parallel Multi-scale Network) has been constructed to solve the problems of loss of key information and poor model robustness in the downsampling process of diabetic retinopathy ( DR) detection models. …”
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Quantifying change in urban tree cover in the city of Lubbock, Texas, using LiDAR and NAIP imagery fusion by Mukti Subedi, Carlos Portillo-Quintero

Subjects: “…Light detection and ranging (LiDAR)…”
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Fault detection and remote monitoring of robotic manipulator using Internet of Things (IoT) by Faiq Ahmad Khan, Muhammad Hamza Khan, Fizza Khan, Mubashir Bashir, Khalil Ullah

“… Remote monitoring of industrial machines is important in order to have high productivity continuous process control. New emerging technologies such as Internet of Things (IoT), are facilitating the process of automation and remote controlling in multiple ways. …”
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Detection of Historical Alarm Subsequences Using Alarm Events and a Coactivation Constraint by Gianluca Manca, Alexander Fay

“…It is based on the “Tennessee-Eastman-Process”, a benchmark in process automation. …”
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Screening Germplasms and Detecting Quantitative Trait Loci for High Sucrose Content in Soybean by Se-Hee Kang, Seo-Young Shin, Byeong Hee Kang, Sreeparna Chowdhury, Won-Ho Lee, Woon Ji Kim, Jeong-Dong Lee, Sungwoo Lee, Yu-Mi Choi, Bo-Keun Ha

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Detection of Toxoplasma gondii Infection in Rodents, Shrews and Cats in Unguja Island, Zanzibar by Cynthia M. Paul, Ally A. Ally, Ernatus M. Mkupasi, Martin J. Martin, Abdul A.S. Katakweba

“…Fifty-one seropositive samples from cats were detected where eight were from pet cats and 43 from stray cats. …”
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On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness by Alan M. Pardo, Andres Legarra, Zulma G. Vitezica, Natalia S. Forneris, Daniel O. Maizon, Sebastián Munilla

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RGB-D salient object detection based on BC2 FNet network by WANG Feng, CHENG Yongmei

“…In the face of complex scene images, the introduction of depth information can greatly improve the performance of salient object detection. However, up-sampling and down-sampling operations in neural networks maybe blur the boundaries of objects in the saliency map, thereby reducing the performance of salient object detection. …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…Current regression methods for battery fault detection often analyze charging and discharging as a single continuous process, missing important phase differences. …”
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Malware Detection in Forensic Memory Dumps: The Use of Deep Meta-Learning Models by Yalçın Özkan

“…First, it was subjected to the classification process with a deep learning algorithm, and a predictive model was acquired. …”
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Fault Detection in Gearboxes Using Fisher Criterion and Adaptive Neuro-Fuzzy Inference by Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, Mohamed Benbouzid

“…Consequently, deploying expert methods for fault detection and diagnosis is crucial to ensuring the reliability and efficiency of these systems. …”
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An Optimized Genetic Algorithm-Based Wavelet Image Fusion Technique for PCB Detection by Tongpo Zhang, Qingze Yin, Shibo Li, Tiantian Guo, Ziyu Fan

“…The enhanced algorithm achieves significant improvements in key performance metrics, including relative standard deviation (RSD), peak signal-to-noise ratio (PSNR), image clarity, and processing efficiency. The team developed a prototype system and conducted simulations in a relatively realistic environment to validate the proposed method’s potential for high-precision PCB detection. …”
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Detection of microstructural changes of the brain in Parkinson’s disease using diffusion tensor imaging by Shaima Fattouh Elkholy, Mostafa Abd ElMalek Mohammed Saber, Mohammad Edrees Mohammad, Mohammed D. Homos

“…Abstract Background Diffusion tensor imaging (DTI) is a precise and recent imaging technique used to detect the microstructural changes of the brain using multiple measures with the most commonly used one is the fractional anisotropy (FA). …”
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Automatic detection of doors and windows using point clouds in the context of as-built BIM by S. Boudarbala, S. Boudarbala, R. Hajji, C. Gourguechon, H. Macher, T. Landes

“…Most methodologies employed for the processing of building point clouds data rely on geometric information to extract objects, thereby ignoring radiometric information, which could provide a highly valuable addition to object detection. …”
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A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection by Van-Doan Nguyen, Abebe Diro, Naveen Chilamkurti, Will Heyne, Khoa Tran Phan

“…In this research, we proposed a novel anomaly detection system (ADS) that integrates federated learning (FL) with blockchain for resource-constrained IoT. …”
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Effects of search intent on eye-movement patterns in a change detection task by Sangil Lee, Minho Lee, Hyeonggyu Park, Mun-Seon Chang, Ho-Wan Kwak

“…The goal of the present study was to examine whether intention type affects eye movement patterns in a change detection task In addition, we assessed whether the eye movement index could be used to identify human implicit intent. …”
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PD Detection and Analysis Triggered by Metal Protrusion in GIS Through Various Methods by Weifeng Xin, Wei Song, Manling Dong, Xiaochuan Huang, Xiaoshi Kou, Zhenyu Zhan, Xinyue Shi, Xutao Han

“…Defects in GIS can be effectively detected by detecting the partial discharge (PD). The common methods of detecting partial discharge are pulse current, ultrasonic and UHF (ultra-high frequency). …”
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EfficientTransformer: A Dynamic Anomaly Detection Model for Industrial Control Networks by Jinyang Liu, Guogang Wang, Xuejun Zong, Bowei Ning, Kan He

“…Additionally, to address the issue of class imbalance, the model incorporates a weighted cross-entropy loss function that assigns higher weights to the minority class of abnormal traffic, thereby improving the model’s anomaly detection ability. This innovation further mitigates issues of feature redundancy and complex feature interactions, enhancing the model’s dynamic processing capability and accuracy. …”
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