Analysis of Fault Detection and Classification in Photovoltaic Arrays Using Neural Network-Based Methods by Arizadayana Zahalan, Samila Mat Zali, Ernie Che Mid, Noor Fazliana Fadzail

“…This training enables the network to learn the distinctive patterns associated with each fault type, enhancing its detection accuracy and classification capabilities. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
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Neural mechanisms of symmetry perception: hemispheric specialization and the impact of noise on reflection symmetry detection by Meng Wang, Jingjing Yang, Yiyang Yu, Qiong Wu, Fengxia Wu

“…This study investigates the neural and cognitive mechanisms underlying symmetry perception, focusing on hemispheric specialization and the effects of noise on symmetry detection. Using psychophysical and electrophysiological (EEG) experiments, participants were presented with reflection symmetric patterns (full circle vs. right-left quarter-circle), under varying noise levels. …”
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Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments by Vishnukumar Ravula, Mangayarkarasi Ramaiah

“…The candidate’s research utilizes character-level embeddings instead of word embeddings, as the former can capture intricate URL patterns more effectively. These embeddings are integrated with a deep learning model, the Multi-Head Attention and Bidirectional Gated Recurrent Units (MHA-BiGRU). …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

“…Finally, a reconstruction module is used to learn the latent representations of features, capturing the normal patterns in telemetry data and achieving anomaly detection. …”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…A graph attention network (GAT) is first used to model the spatial dependencies between sensors, capturing the dynamic patterns of adjacent nodes. An LSTM model is then employed for encoding and decoding time series data, incorporating a temporal attention mechanism to capture evolving changes over time, thus improving detection accuracy. …”
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Utilizing Footstep Sound Event Detection by Using CNN Techniques for Assuring Property Security by Furkan Y. Yavuz, Nejat Yumusak

“…The strategic incorporation of diverse open-source data fosters transparency and reproducibility, enhancing the model’s adaptability and reliability in handling real-world audio patterns, as evidenced by its commendable 1% error rate in precise identification.…”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Molecular detection and characterization of Mycoplasma gallisepticum and M. synoviae from Brazilian laying hens by Cátia Cardoso da Silva, Thomas Salles Dias, Karyne dos Santos Marins da Silva, Daniele Soares Fialho, Leandro dos Santos Machado, Maria Lucia Barreto, Elmiro Rosendo do Nascimento, Virginia Léo de Almeida Pereira

“…The strains demonstrated distinct clustering patterns, with our isolates forming closely related groups. …”
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An Author Gender Detection Method Using Whale Optimization Algorithm and Artificial Neural Network by Fatemeh Safara, Amin Salih Mohammed, Moayad Yousif Potrus, Saqib Ali, Quan Thanh Tho, Alireza Souri, Fereshteh Janenia, Mehdi Hosseinzadeh

“…Machine learning and meta-heuristic algorithms are valuable techniques to extract hidden patterns useful for detecting gender of a text. In this paper, an artificial neural network (ANN) is employed as a classifier to detect the gender of an email author and the whale optimization algorithm (WOA) is used to find optimal weights and biases for improving the accuracy of the ANN classification. …”
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Citrus Disease Detection Based on Dilated Reparam Feature Enhancement and Shared Parameter Head by Xu Guo, Xingmeng Wang, Wenhao Zhu, Simon X. Yang, Lepeng Song, Ping Li, Qinzheng Li

“…Current models struggle with accuracy and efficiency due to diverse leaf lesion patterns and complex orchard environments. This study presents YOLOv8n-DE, an improved lightweight YOLOv8-based model for enhanced citrus disease detection. …”
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A Transformer-based Approach for aAnomaly Detection in Wire eElectrical Discharge by Waleed Hammed, Ameer H. Al-Rubaye, Bashar S. Bashar, Merzah Kareem Imran, Mustafa Ghanim Rzooki, Ali Mohammed Hashesh

“…By identifying hidden patterns in process signals, anomalies, such as changes in the thickness of a machined item, may be efficiently anticipated before they occur. …”
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Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms by Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele

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Toward Generative AI-Based Intrusion Detection Systems for the Internet of Vehicles (IoV) by Isra Mahmoudi, Djallel Eddine Boubiche, Samir Athmani, Homero Toral-Cruz, Freddy I. Chan-Puc

“…The increasing complexity and scale of Internet of Vehicles (IoV) networks pose significant security challenges, necessitating the development of advanced intrusion detection systems (IDS). Traditional IDS approaches, such as rule-based and signature-based methods, are often inadequate in detecting novel and sophisticated attacks due to their limited adaptability and dependency on predefined patterns. …”
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Hyperbolic Detection of Ground Penetrating Radar for Buried Pipes Utilities Using Viola Jones by Nurul Syahirah Mohd Ideris, Hasimah Ali, Mohd Shuhanaz Zanar Azalan, Tengku Sarah Tengku Amran

“…The results of this project demonstrate that the Viola Jones algorithm can accurately detect hyperbolic patterns in GPR images.…”
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Uncovering the Tradeoffs and Synergies of Ecosystem Services in Mining Landscapes: Spatiotemporal and Factor Detection Perspective by Jiao Pan, Tao Chen, Antonio Plaza

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AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital Images by Manisha, Chang-Tsun Li, Karunakar A. Kotegar

“…Detecting AI-synthesized images remains a challenge due to their increasing realism. …”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…The stealthy nature of botnets, characterized by constant alterations in network structures, attack methodologies, and data transmission patterns, poses a growing difficulty in their detection. …”
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Research on the optimization of grouting flow detection sensor layouts based on laser ranging technology by Lichang Wang, Wei Long, Zhanghui Fei, Zhongli Yang, Meng Xu, Lu Wang

“…Through theoretical modeling, indoor experiments, and numerical simulations, the liquid level fluctuation patterns under varying water-cement ratios (0.5:1–5:1) and stirring speeds (40–80 r/min) were investigated. …”
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BiAF: research on dynamic goat herd detection and tracking based on machine vision by Yun Hou, Mingjuan Han, Wei Fan, Xinyu Jia, Zhuo Gong, Ding Han

“…Traditional methods, such as manual tracking and wearable monitoring, often disrupt the natural movement and feeding behaviors of grazing livestock, posing significant challenges for in-depth studies of grazing patterns. In this paper, we propose a machine vision-based grazing goat herd detection algorithm that enhances the streamlined ELAN module in YOLOv7-tiny, incorporates an optimized CBAM attention mechanism, refines the SPPCSPC module to reduce the parameter count, and improves the anchor boxes in YOLOv7-tiny to enhance target detection accuracy. …”
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