Multi-Channel Underwater Acoustic Signal Analysis Using Improved Multivariate Multiscale Sample Entropy by Jing Zhou, Yaan Li, Mingzhou Wang

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A grid-based sectoring for energy-efficient wireless sensor networks by Nubunga Ishaya, Mustapha Aminu Bagiwa

“…However, its CH selection process remains suboptimal, leading to energy imbalance and inefficiencies due to fixed sector boundaries. This research improves CH selection by organizing sensor nodes into square grid clusters and employing a routing algorithm for randomized CH selection. …”
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Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade by Hady H. Fayek, Fady H. Fayek, Eugen Rusu

“…This research explores the optimal operation of an offshore wave-powered hydrogen system, specifically designed to supply electricity and water to a bay in Humboldt, California, USA, and also sell it with hydrogen. …”
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Modified Maintenance Network Model for Urban Rail Transit Systems Based on the Variable Coverage Radius: Evidence from Changchun City in China by Yuan Jiang, Baofeng Sun, Lili Zheng, Wankun Cui, Xinhua Mao

“…Network-wide maintenance lacks strong theoretical support and practical cases. However, research on this topic has entered an extensive exploratory stage; for example, new network design methods are being sought, and successful practices from traditional maintenance by line and by profession are being incorporated. …”
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Real-Time Analysis of Athletes’ Physical Condition in Training Based on Video Monitoring Technology of Optical Flow Equation by Cuijuan Wang

“…This article is dedicated to the research of video motion segmentation algorithms based on optical flow equations. …”
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An Adaptive Distributed Consumer Trust Model for Social Commerce by Xiumu Weng, Ding Pan, Yun Jin

“…The results of this paper can not only provide a foundational model for related research but also can be used to develop a novel distributed product evaluation system for social commerce.…”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…Therefore, this study proposes an image scene text detection method based on a lightweight deep relation inference scene text detection algorithm. This algorithm simplifies the network of detection algorithms that consider the importance of text components, aiming to reduce computational complexity while addressing issues such as excessive smoothing. …”
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HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER by Moustafa M. Kurdi

“…The main objective of research paper is to focus on the full coordination between robot and quadcopter by designing an efficient wireless communication using WIFI. …”
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Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD by XIE Guizhong, XU Shuaiqiang, DU Wenliao, LUO Shuangqiang, LI Hao, WANG Liangwen, GONG Xiaoyun

“…This approach provides valuable reference for research on identifying bearing weak features in high-background-noise environments.…”
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Dual Antiplatelet Therapy Regimens and Duration for Intracranial Stenting Procedures: Literature Review by Milda Paliulytė, Gytis Šustickas

“…Our aim was to analyse different antithrombotic drug regimens and duration in intracranial stenting procedures (stent assisted coiling, flow diverter) for unruptured aneurysms and based on the literature review from 2017–2023 to implement dual antiplatelet therapy algorithm for neuro-interventional procedures in Lithuania. …”
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Application of ResUNet-CBAM in Thin-Section Image Segmentation of Rocks by Ling Zhao, Huili Zhang, Xianda Sun, Zhaozhuo Ouyang, Chengwu Xu, Xudong Qin

“…The convolutional neural network (CNN) algorithm in deep learning has been widely applied in petroleum geology research both domestically and internationally. …”
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Species-level classification of urban trees from WorldView-2 imagery in Debrecen, Hungary: An effective tool for planning a comprehensive green network to reduce dust pollution by Vanda Eva MOLNAR, Edina SIMON, Szilárd SZABÓ

“…The best overall accuracy was achieved with the ML algorithm applied to the first four transformed bands (75.1%), and with the SVM algorithm applied to eight bands (71.0%). …”
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Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

“…This study introduces a novel approach for the multi-model analysis of complex water distribution networks (WDNs). The research focuses on designing and optimizing various WDN configurations while adhering to hydraulic constraints. …”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research effectively mitigates outliers and compensates for incomplete data—persistent issues in dynamic manufacturing environments. …”
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Application of Ensemble Learning and VISSIM in Intersection Traffic Flow Prediction and Signal Timing Optimization by Yutong Rou, Chao Liang, Zhizhan Lu

“…Initially, an ensemble learning algorithm accurately predicts intersection traffic flow. …”
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Improving the Diagnosis and Treatment of Acute Appendicitis in Pregnant Women by A.O. Osmanov, S.-M. A. Omarov, M. Z. Zagidov, R. M. Aliyeva

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YOLO-NPK: A Lightweight Deep Network for Lettuce Nutrient Deficiency Classification Based on Improved YOLOv8 Nano by Jordane Sikati, Joseph Christian Nouaze

“…The objective of this research was to improve the baseline algorithm to complete the classification task with a top-1 accuracy above 85%, a FLOP inferior to 10G, and classification latency below 170 ms per image.…”
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Hybrid Energy Storage Power Allocation Strategy Based on NGO-VMD by Haiyan WANG, Linyu QIAN

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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…The research optimizes the Speeded-Up Robust Features(SURF) detection algorithm by adjusting the Hessian matrix threshold to enhance sensitivity to low-contrast defects. …”
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