Innovative defect cluster analysis algorithm and tool powered by machine learning techniques by Shuai Ren, Huizhao Li, Dandan Chen, Lingyu Dong, Changjun Hu

“…The software is used to investigate the relationships between primary knock-on atom (PKA) energy, PKA direction, and defect cluster types and quantities, yielding results consistent with experimental observations. The proposed algorithm and software simplify the complex process of material defect analysis, providing an efficient and intuitive tool for advancing material mechanism research.…”
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Algorithms, Techniques, and Applications of Intelligent Diagnosis Using Dynamic Ultrasound: A Review by Jialong Liu, Jianfeng Zhang, Yuan Shao, Xiaolong Xiao, Shoujun Huang, Dexing Kong

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LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

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Routing Algorithm for Power Communication Networks Based on Serivce Differentiated Transmission Requirements by Songping XUE, Dequan GAO, Ziyan ZHAO, Yuqian LIN, Zejing GUANG, Dawei ZHANG

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Optimization of multi-chamber mufflers with reverse-flow ducts by algorithm of simulated annealing by Ying-Chun CHANG, Min-Chie CHIU

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An Adaptive Large Neighborhood Search Algorithm for the Satellite Data Transmission Scheduling Problem by Yingguo Chen, Ming Chen, Jun Wen, Yingwu Chen, Wen Xiang

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Improved salp swarm algorithm-driven deep CNN for brain tumor analysis by Umang Kumar Agrawal, Nibedan Panda, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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The sovereignty-internationalism paradox in AI governance: digital federalism and global algorithmic control by Artur Ishkhanyan

“…Abstract This study examines the sovereignty-internationalism paradox in AI governance, which encapsulates the tension between state control over algorithmic systems and the necessity of transnational collaboration to regulate borderless technologies. …”
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Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

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Online Algorithm for Deriving Heart Rate Variability Components and Their Time–Frequency Analysis by Krzysztof Adamczyk, Adam G. Polak

“…Classical spectral analysis is most often used in research on HRV and its components. The aim of this work was to develop and validate an online HRV decomposition algorithm for monitoring the associated physiological processes. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Experiments conducted on a self-constructed dataset show that the improved algorithm achieved a mean Average Precision (mAP) of 90.1%, representing a 3.2% increase over the original algorithm. …”
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Coverage Enhancement Algorithms for Distributed Mobile Sensors Deployment in Wireless Sensor Networks by Muhammad Sirajo Aliyu, Abdul Hanan Abdullah, Hassan Chizari, Thabit Sabbah, Ayman Altameem

“…The Edge Based Centroid (EBC) algorithm is presented to improve the area coverage with faster convergence rate in a distributed network. …”
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Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). …”
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Evaluation of the Effectiveness of Lightweight Encryption Algorithms on Data Performance and Security on IoT Devices by Damar Indrajati, Wahid Miftahul Ashari

“…Based on these results, AES128 is suitable for high-capacity IoT platforms prioritizing strong encryption, while SIMON and SPECK are preferable for resource-constrained devices, with XTEA serving as a balanced alternative. This research contributes a comparative framework to guide the selection of encryption algorithms for IoT systems, ensuring an optimal trade-off between security and operational efficiency.…”
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A Novel Optimization Algorithm for Modifying the Parameter Unit of Solar PV Cell by V. Senthil Nayagam, S. Sanal Kumar, V. Thiyagarajan, Neel Kamal, N. Nisha, J. Samson Isaac, Adane Kassa

“…Because of the rise in solar electricity, photovoltaic research has increased. A precise model of the PV-based cell/unit is ideal for conceptually examining the capabilities of alternative control approaches. …”
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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…A main argument advanced in the article is that algorithmic and environmental harms are inextricably linked, but neither research nor policy has the terminology to discuss and address this. …”
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Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

“…Finally, a triplet attention mechanism was incorporated to address the original YOLOP algorithm's deficiency of losing key information during feature extraction. …”
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A novel region based neighbors searching classification algorithm for big data by Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin

“…Experimental results consistently demonstrate RNSCA’s superior performance in modeling nuanced local structures and mitigating the core limitations of conventional KNN. This research presents a compelling advancement in classification algorithms, with practical implications across domains such as healthcare, agriculture, and environmental intelligence.…”
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