Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN by Meng Shi, Yiheng Zhao, Weixiang Yu, Yuchong Chen, Nan Chi

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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

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Applications of Recent Metaheuristic Algorithms for Loss Reduction in Distribution Power Systems considering Maximum Penetration of Photovoltaic Units by Le Duy Luan Nguyen, Phuc Khai Nguyen, Viet Cuong Vo, Ngoc Dieu Vo, Thang Trung Nguyen, Tan Minh Phan

“…Radial distribution power systems (RDPSs) are essential in the power system to supply electricity to loads for developing industries, commerce, and services in countries. …”
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A New hybrid generalized CG- method for non-linear functions by Abbas Al-Bayati, Hamsa Chilmerane

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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…When a defect is detected, it can be repaired (detect-repair). …”
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Research on an Apple Recognition and Yield Estimation Model Based on the Fusion of Improved YOLOv11 and DeepSORT by Zhanglei Yan, Yuwei Wu, Wenbo Zhao, Shao Zhang, Xu Li

“…This study introduces APYOLO, an enhanced apple detection algorithm based on an improved YOLOv11, integrated with the DeepSORT tracking algorithm to improve both detection accuracy and operational speed. …”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…The root determination threshold, optimal LP root value distribution, peak distribution of formant in spectral envelope and formant estimation error of speech digital resonance model constraints under different orders are investigated. …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…The need for enhanced radio resource allocation schemes, improved user mobility and increased throughput, driven by a rising demand for data, has necessitated the development of diverse algorithms that optimize output values based on varied input parameters. …”
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Plastic failure and deformation calculation of shaft structure in soil under lateral explosion by Shanzheng Sun, Yuan Liu

“…The empirical formula of the characteristic size of plastic hinge line is derived from the numerical simulation data. …”
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Point set registration-based image stitching in unmanned aerial vehicle transmission line inspection by Xiyu Wang, Xin Hu, Diyuan Xiang, Jian Xiao, Hongliang Cheng

“…The proposed method combines stable local and global constraints between two corresponding point sets, weighted spatial distance is introduced to obtain the local neighborhood of the motion vector to reduce the complexity of the point set, and combines weighted spatial distance with feature descriptors to improve the model fit. …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

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Intelligent Grinding System for Medium/Thick Plate Welding Seams in Construction Machinery Using 3D Laser Measurement and Deep Learning by Qifeng Liu, Rencheng Zheng, Pengchao Li, Chao Liu, Deyuan Mi, Jian Wang, Wenli Xie

“…Based on various weld seam detection algorithms, the selected model was MNet-based DeepLab-V3. …”
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Experience developing a pediatric medical chatbot in Singapore: a digital innovation for improved emergency care by Choo Min, Rong Xiu Cynthia Lim, Sek Wan Tan, Sashikumar Ganapathy, Sashikumar Ganapathy

“…Looking forward, future developments will include the incorporation of generative AI to provide more humanistic and personalized responses, as well as the creation of a post-discharge outreach module to provide proactive post-discharge support to caregivers, further enhancing healthcare delivery in a rapidly evolving digital landscape.…”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…In the realm of autonomous driving, the design and implementation of collaborative multi-task perception algorithms pose significant challenges. …”
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Improving synergistic drug combination prediction with signature-based gene expression features in oncology by Mozhgan Mozaffarilegha, Sajjad Gharaghani

“…Machine learning (ML) and deep learning (DL) models have advanced drug synergy prediction by integrating diverse datasets and modeling the interactions between drugs and cell lines. …”
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Deep Learning-Enabled Visual Inspection of Gap Spacing in High-Precision Equipment: A Comparative Study by Xiuling Li, Fusheng Li, Huan Yang, Peng Wang

“…Utilizing the DeepLSD algorithm, the system integrates traditional and deep learning techniques to enhance line segment detection, resulting in more robust and accurate inspection outcomes. …”
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Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm by Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Umberto Desideri

“…The core of the SNS algorithm is driven by the social network users' dialogue, imitation, creativity, and disputation moods. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…This paper proposes PLL-VO, which integrates point-line features and deep learning. To overcome the impact of complex lighting conditions, a self-supervised learning method for interest point detection and a line detection algorithm that combines line optical flow tracking with cross-constraints is presented. …”
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Transmission line fault identification method based on weighted federated learning and multimodal residual network by Jian Wang, Fengkai Lin, Dongliang Nan, Qi Zhao, Han Xue, Jinxin Ouyang

“…Although data-driven deep learning networks can be used for transmission line fault identification, the generalization performance of the algorithm will be seriously reduced in the face of “data islands” and class imbalance among fault samples in various regions. …”
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Learning‐based tracking control of AUV: Mixed policy improvement and game‐based disturbance rejection by Jun Ye, Hongbo Gao, Manjiang Hu, Yougang Bian, Qingjia Cui, Xiaohui Qin, Rongjun Ding

“…By combining prior dynamic knowledge and actual sampled data, the proposed approach effectively mitigates the defect caused by the inaccurate dynamic model and significantly improves the training speed of the ADP algorithm. …”
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