Energy-Efficiency using Critical Nodes Detection Problem in Industrial Wireless Sensor Networks (IWSNs) by Karima MOULEY, Mohamed Amin TAHRAOUI, Abdelaziz KELLA

“…The network is divided into manageable partitions after removing critical nodes, optimizing energy usage, reducing communication overhead, and ensure the network's connectivity and operational reliability across multiple communication rounds. …”
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Application of an information management system in prevention and control of multi-drug-resistant organisms by ZHANG Tao, TU Min, XIE Hongyan

“…Objective To explore the effect of applying an information management system to the prevention and control of multidrug-resistant organisms (MDROs) infection.Methods The implementation rate of MDROs prevention and control measures, the incidence of nosocomial MDRO infections, and the detection rate of environmental MDROs were compared and analyzed for medical staff before and after the implementation of the information management system in Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology.Results After the implementation of the information management system, except the compliance rate among technicians for "Wearing isolation gowns during close-range operations", the implementation rates of other MDROs prevention and control measures for doctors, nurses and technicians were significantly higher than before (P…”
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APPLICATION OF THE ENTROPY-PROBABILISTIC MODEL OF THE X-RAY TELEVISION INTROSCOPE OPERATOR IN THE ALGORITHM OF THE COMPUTER SIMULATOR DURING TRAINING OF SECURITY SCREENING POINT EM... by A. K. Volkov, V. V. Iudaev, A. V. Dormidontov

“…The main advantages of the proposed approach are as follows:ease of implementation and interpretation of the operator entropy model;entropy model, realized in specific algorithm, is applicable for diagnostic tasks and stochastic system “operator” control and also for effective management in the learning process.…”
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A hybrid deep learning-based intrusion detection system for EV and UAV charging stations by Rosebell Paul, Mercy Paul Selvan

“…The results showcase significant improvements in the detection of malicious traffic and cost minimization compared to traditional charging station management methods. …”
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Robust Small-Object Detection in Aerial Surveillance via Integrated Multi-Scale Probabilistic Framework by Youyou Li, Yuxiang Fang, Shixiong Zhou, Yicheng Zhang, Nuno Antunes Ribeiro

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ATDMNet: Multi-Head Agent Attention and Top-k Dynamic Mask for Camouflaged Object Detection by Rui Fu, Yuehui Li, Chih-Cheng Chen, Yile Duan, Pengjian Yao, Kaixin Zhou

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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…It has become a fundamental technological support in marine science research and maritime management. However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture by M. Saranya, R. Praveena

“…Image segmentation is incredibly valuable to medical imaging since it can make possible to simulate surgical operations, diseases diagnosis, anatomical and pathologic analysis. …”
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Predictive maintenance based on anomaly detection in photovoltaic system using SCADA data and machine learning by Agussalim Syamsuddin, Andrew Cahyo Adhi, Amie Kusumawardhani, Toni Prahasto, Achmad Widodo

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An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique by Lubna Kiran, Asim Zeb, Qazi Nida Ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan, Muhammad Naeem, Shamsul Huda, Haitham Mahmoud

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Hyperledger Fabric Graph Isomorphism Network for Conflict Transactions Detection in Multi-Version Concurrency Control by Fawaz Alzahrani, Mohd Yazid Idris, Mohd Fo'Ad Rohani, Rahmat Budiarto

“…The enhancements contribute to detection rate increase of conflict transactions over GCN and GIN in an earlier stage, demonstrating the model’s potential to transform MVCC conflict management in high-demand blockchain environments such as banking operations.…”
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets by Xue Xia, Ning Zhang, Zhibin Guan, Xin Chai, Shixin Ma, Xiujuan Chai, Tan Sun

“…The mean average precision (mAP) of 0.985 reflected the model's overall effectiveness in detecting all classes of aggressive behaviors. The model achieved a detection speed FPS of 69 f/s, with model complexity measured by 7.2 G floating-point operations (GFLOPs) and parameters (Params) of 2.63 million. …”
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Case Report: Multidisciplinary management of primary omental pregnancy involving intraoperative ultrasound by Shanshan Wang, Huaguo Shao, Yan Huang, Yanqing Li, Ting Feng, Lin Pan

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Utility of computerized tomography in clinical staging and surgical decision making in patients with uterine cancer by Andrew Tannous, Alexzandra Adler, Jeanelle Sheeder, Rebecca J. Wolsky, Jill Alldredge

“…The impact of CT imaging on surgical management decisions was also evaluated. Results: Of 409 patients meeting inclusion criteria, 68.9 % underwent pre-operative CT imaging. …”
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Infection Control-Based Construction of a Fever Outpatient Routine Management Model by Jingsong Wang, Zhen Tao, Kai Zhang, Shuai Wang

“…In order to improve the efficiency of fever clinic screening, timely detection and control of infection sources, early detection, early isolation, and early treatment, our hospital explored the construction and effect of our fever clinic management model during the response period by constructing a fever clinic regular management model based on the principles of infection control. …”
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A New Meta-heuristic Algorithm based on Multi-criteria Decision Making to Solve Community Detection Problem by Vahid Baradaran, Amir Hossein Hosseinian, Reza Derakhshani

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Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems by Jurij Rakun, Peter Lepej, Rajko Bernik, Jelisaveta Seka Cvijanović, Miljan Cvetković, Erik Rihter

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

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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. …”
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