Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The framework leverages long short-term memory (LSTM) networks for temporal data, convolutional neural networks (CNNs) for spatial analysis, and autoencoders for anomaly detection. The system focuses on two main objectives, which include better forecasting precision, optimum resource distribution, and efficient detection of operational problems.…”
Get full text

An Information Granulated Based SVM Approach for Anomaly Detection of Main Transformers in Nuclear Power Plants by Wenmin Yu, Ren Yu, Cheng Li

Get full text

Anomaly detection for carbon trading data in power system based on improved isolation forest method by ZHANG Xu, WANG Xudong, HE Xin, WANG Lin, FENG Quehe, LIU Bin

“…The rapid increase of carbon asset types and data volume from trading has brought challenges to data aggregation and management of carbon asset operation departments. In order to improve the management efficiency, this paper studies an anomaly detection method for multi-source carbon assets aggregation data based on improved isolation forest algorithm. …”
Get full text

Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning by Jinyou Kim, Ilkyu Yi, Young-Joo Suh

“…Belt conveyor systems are essential across various industries but are prone to faults due to their distinctive design and challenging operational environments. Various approaches have been explored for fault detection and diagnosis (FDD) in belt conveyor systems, but research specifically addressing the unique features of these systems and providing a comprehensive analysis remains limited. …”
Get full text

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

Get full text

EER-DETR: An Improved Method for Detecting Defects on the Surface of Solar Panels Based on RT-DETR by Jiajun Dun, Hai Yang, Shixin Yuan, Ying Tang

“…The core innovation of this research lies in the combination of differentiable architecture design and dynamic feature management, providing a detection tool for the intelligent operation and maintenance of photovoltaic power stations that possesses both high precision and lightweight characteristics. …”
Get full text

Acoustic emission detection and defect identification method for micro-leakage in natural gas pipeline valves by Lizhen ZHANG, Wen'ao WANG

Get full text

Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…Three scenic spot scenes with different time and environmental conditions were set up to detect tourist ABD, and the results were compared with different existing anomaly detection algorithms. …”
Get full text

YOLO-HPSD: A high-precision ship target detection model based on YOLOv10. by Manlin Zhu, Dezhi Han, Bing Han, Xiaohu Huang

“…Ship target detection is crucial in maritime traffic management, smart ports, autonomous ship systems, environmental monitoring, and ship scheduling. …”
Get full text

Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

Get full text

Building Envelope Thermal Anomaly Detection Using an Integrated Vision-Based Technique and Semantic Segmentation by Shayan Mirzabeigi, Ryan Razkenari, Paul Crovella

Get full text

A Simplified Gaussian Approach for Asphalt Crack Detection based on Deep Learning and RGB images by W. Darwish, W. Darwish, W. Ahmed, W. Ahmed

“…Cracks impact both the operational efficiency and safety of road pavements and significantly influence maintenance decisions. …”
Get full text

Enhancing Vertical Trajectory Reconstruction in SASS-C: Advanced Segmentation, Outlier Detection, and Filtering Techniques by Daniel Amigo, David Sánchez Pedroche, Jesús García, José Manuel Molina, Jekaterina Trofimova, Emmanuel Voet, Benoît Van Bogaert

“…Our methodology employs both synthetic and real-world data for comprehensive evaluation, ensuring performance under controlled and operational conditions. The results demonstrate substantial improvements in segmentation precision, outlier detection, and overall trajectory reconstruction quality. …”
Get full text

Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation by Nabil Haddad, Karima Hadj-Rabah, Alessandra Budillon, Gilda Schirinzi

“…One way to address these issues is through statistical detection approaches such as the Generalized Likelihood Ratio Test, which ensures a Constant False Alarm Rate. …”
Get full text

Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…For transmission systems to operate safely and reliably, fault identification and classification are essential. …”
Get full text

Enhancing the Accuracy and Speed of Object Detection and Distance Estimation to Improve the Safety of Autonomous Cars Movement by F. Kabiri, M. R. Delavar, L. Hajibabi, B. Nazari

Get full text

Echoes From the Void: Detecting DNS Tunneling With Blackhole Features in Encrypted Scenarios With High Accuracy by Wafa S. Alorainy

“…Enterprises also face limitations concerning regulatory compliance, data privacy, and operational costs in integrating new detection mechanisms. …”
Get full text

How, What, and Where You Sample Environmental DNA Affects Diversity Estimates and Species Detection by Anish Kirtane, Leif Howard, Caitlin E. Beaver, Margaret E. Hunter, Gordon Luikart, Kristy Deiner

“…Optimizing eDNA sampling is crucial for maximizing species detection, particularly in high‐risk scenarios like invasive species management. …”
Get full text

An Improved YOLOP Lane-Line Detection Utilizing Feature Shift Aggregation for Intelligent Agricultural Machinery by Cundeng Wang, Xiyuan Chen, Zhiyuan Jiao, Shuang Song, Zhen Ma

“…Multi-task learning (MTL) is increasingly employed to enhance the efficiency and performance of detection models in joint detection tasks, such as lane-line detection, pedestrian detection, and obstacle detection. …”
Get full text

CRISPR-based assays for the detection of BK virus and JC virus infections post-kidney transplantation by Yu Liu, Jing-Song Xu, Li Cao, Shuang Yang, Tian-Ming Li, Hai-Qian Huang, Jun-Heng Zhang, Xue Zhao, Qian Liu, Shun Li, Min Li, Hua Wang

“…Results A one-pot RPA-CRISPR reaction system was established and optimized for BKV and JCV detection. ddCRISPR can simultaneously and rapidly detect BKV and JCV with high sensitivity (10 copies/ml for BKV and 1 copy/ml for JCV), and provide absolute quantification, which is suitable for viral load detection and conducive to personalized and precise treatment for organ transplant recipients. …”
Get full text