Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm by Xingyu Liu, Yuanfeng Chu, Yiheng Hu, Nan Zhao

“…Initially, this paper employs the Bidirectional Feature Pyramid Network (BiFPN) to effectively integrate multi-level features. …”
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Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches. by Md Symun Rabby, Md Merajul Islam, Sujit Kumar, Md Maniruzzaman, Md Al Mehedi Hasan, Yoichi Tomioka, Jungpil Shin

“…Protein-protein interaction (PPI) network analysis was performed using STRING, and the PPI network was visualized using Cytoscape. …”
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YOLOv8-SC: an improved seafood target-detection model by Zhaofeng Cong, Fusheng Yu

“…The advancement of convolutional neural networks has significantly enhanced autonomous underwater fishing. …”
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Research on Joint Stiffness Identification and Error Compensation of the Serial Six DOF Robot by Ping Rui, Guifang Qiao, Xiulan Wen, Ying Zhang, Dongxia Wang

“…Secondly，in order to improve the identification accuracy and efficiency of joint stiffness parameters, the BP neural network is applied to fit the stiffness error model to optimize the initial population fitness of genetic algorithm. …”
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D2D cooperative caching strategy based on graph collaborative filtering model by Ningjiang CHEN, Linming LIAN, Pingjie OU, Xuemei YUAN

“…A D2D cooperative caching strategy based on graph collaborative filtering model was proposed for the problem of difficulty in obtaining sufficient data to predict user preferences in device-to-device (D2D) caching due to the limited signal coverage of base stations.Firstly, a graph collaborative filtering model was constructed, which captured the higher-order connectivity information in the user-content interaction graph through a multilayer graph convolutional neural network, and a multilayer perceptron was used to learn the nonlinear relationship between users and content to predict user preferences.Secondly, in order to minimize the average access delay, considering user preference and cache delay benefit, the cache content placement problem was modeled as a Markov decision process model, and a cooperative cache algorithm based on deep reinforcement learning was designed to solve it.Simulation experiments show that the proposed caching strategy achieves optimal performance compared with existing caching strategies for different content types, user densities, and D2D communication distance parameters.…”
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RESULTS OF PASSENGER RESOURCES EXAMINATIONS IN KYZYL CITY OF THE TYVA REPUBLIC by Ch. D. Shavyraa

“…Therefore, the purpose of the survey is to clarify the total size of the movement of the zones and the city as a whole for the further projects’ development of the road network planning and for the passenger traffic development.Materials and methods. …”
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Novel Deep Learning-Based Facial Forgery Detection for Effective Biometric Recognition by Hansoo Kim

“…This study presents a novel deep learning framework optimized for texture analysis to detect facial forgeries effectively. …”
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Orthoplastics Management of Open Lower Limb Fractures at a Major Trauma Centre: Audit of Adherence to BOAST4 Guidelines by Hester Lacey, Kaneka Bernard, Labib Syed, Evie O'Rourke, Yasmin Calvert-Ford, Joanna Bovis, Enis Guryel, Ian King

“…Results: Overall, 133 patients were identified, 70 men and 63 women, with an average age of 58 years. Women had a higher average age (69 years) and ASA grade (71% ASA 3 or higher). …”
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Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence by Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu

“…To tackle these issues, we propose a deep reinforcement learning-based approach for task offloading and resource allocation, aiming to balance the load on edge nodes while reducing the long-term average cost. Specifically, we decompose the optimization problem into two subproblems, task offloading and resource allocation. …”
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AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends by Cristina Iancu, Simona-Vasilica Oprea

“…The analysis brings out a steady growth in publication volume, with an average of 2,500 papers annually and a significant concentration of research within domains such as neural networks, algorithm optimization and digital transformation. …”
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Pain Management Strategies and Adverse Effects of Opioids in Patients with Neurotrauma with Acute and Chronic Pain by Marie-Ève McGennis, Marc-Aurèle Gagnon, Jérôme Paquet, Alexis F. Turgeon, Tassia Macedo, Caroline Côté, Mwanack Kakule Matina, Michael Verret, Lynne Moore, Andréane Richard-Denis, Line Guénette, Léonie Archambault, Cécile Duval, Mélanie Bérubé

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Investigation of heavy metals adsorbed on microplastics in drinking water and water resources of Zabol by Mohammad Reza Rezaei Kahkha, Jamshid Piri, Ali Faghihi-Zarandi, Massoud Kaykhaii

“…The average concentration of the other detected heavy metals were as: zinc (Zn) 43.9 µg.L− 1 and 7.75 µg.L− 1, manganese (Mn) 11.48 µg.L− 1 and 6.5 µg.L− 1, arsenic (As) 20.22 µg.L− 1 and 0.26 µg.L− 1, cadmium (Cd) 3.16 µg.L− 1 and 2.8 µg.L− 1, copper (Cu) 15.18 µg.L− 1 and 0.03 µg.L− 1, and nickel (Ni) 0.10 µg.L− 1 and 2.25 µg.L− 1 in distribution network and CHWRs, respectively. …”
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Study on the Feasibility and Performance Evaluation of High-Orbit Spacecraft Orbit Determination Based on GNSS/SLR/VLBI by Zhengcheng Wu, Shaojie Ni, Wei Xiao, Zongnan Li, Huicui Liu

“…The results indicate the following: (1) Under simulated conditions, the optimal strategy involves employing the SLR/VLBI dual system during periods when VLBI orbit determination is feasible, yielding an average Weighted Position Dilution of Precision (WPDOP) of 26.79. (2) For periods when VLBI orbit determination is not feasible, the optimal approach is to utilize the GNSS/SLR/VLBI triple system, resulting in an average WPDOP of 16.32. (3) The orbit determination performance of the triple system is not significantly impacted by the use of global SLR stations compared to using only Chinese SLR stations. …”
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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Aiming at the problem that the separation performance of the negative entropy maximization method depends on the selection of the initial matrix, the Newton downhill method is used instead of the Newton iteration method as the optimization algorithm to find the optimal matrix. By changing the descending factor, the objective function shows a downward trend, and the dependence of the algorithm on the initial value is reduced. …”
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Research on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment by JianWun Lai

“…The ICS is superior to standard WWTCS by a vital error boundary, minimizing energy consumption by 17% and boosting chemical-based consumption optimization by 24%. With an average removal rate of 94.23% for Chemical Oxygen Demand (COD) compared to 88.76% for standard systems, the findings from experiments exhibited significant performance improvements.…”
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Mapping stains on flat roofs using semantic segmentation based on deep learning by Lara Monalisa Alves dos Santos, Leonardo Rabero Lescano, Gabriel Toshio Hirokawa Higa, Vanda Alice Garcia Zanoni, Lenildo Santos da Silva, Cesar Ivan Alvarez, Hemerson Pistori

“…The research tested two convolutional neural networks for semantic segmentation: the Fully Convolutional Network (FCN) with a ResNet50 backbone and DeepLabV3 with a ResNet101 backbone, as well as a transformer-based deep artificial neural network called SegFormer with a MiT-B1 backbone. …”
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Abalone Muscle Texture Evaluation and Prediction Based on TPA Experiment by Jiaxu Dong, Xiaoyan Fang, Huihui Wang, Xu Zhang, Xueheng Tao

“…Thermal processing of abalone muscle was analyzed to determine the optimal heat treatment condition based on fuzzy evaluation. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. …”
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Monetary incentives and peer referral in promoting secondary distribution of HIV self-testing among men who have sex with men in China: A randomized controlled trial. by Yi Zhou, Ying Lu, Yuxin Ni, Dan Wu, Xi He, Jason J Ong, Joseph D Tucker, Sean Y Sylvia, Fengshi Jing, Xiaofeng Li, Shanzi Huang, Guangquan Shen, Chen Xu, Yuan Xiong, Yongjie Sha, Mengyuan Cheng, Junjie Xu, Hongbo Jiang, Wencan Dai, Liqun Huang, Fei Zou, Cheng Wang, Bin Yang, Wenhua Mei, Weiming Tang

“…<h4>Background</h4>Digital network-based methods may enhance peer distribution of HIV self-testing (HIVST) kits, but interventions that can optimize this approach are needed. …”
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Reduced-Complexity Radio Architectures for Enhanced Receive Selection Combining in Multiuser Diversity Systems by Elpiniki P. Tsakalaki, Osama N. Alrabadi, Constantinos B. Papadias, Ramjee Prasad

“…The simulation results show that the proposed enhanced diversity combining systems improve the average throughput of a multiuser network outperforming classical antenna selection especially for small user populations and compact user terminal size.…”
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