FedDBO: A Novel Federated Learning Approach for Communication Cost and Data Heterogeneity Using Dung Beetle Optimizer by Dongyan Wang, Limin Chen, Xiaotong Lu, Yidi Wang, Yue Shen, Jingjing Xu

“…As an emerging distributed machine learning technology, federated learning has gained widespread attention due to its critical privacy protection mechanism. However, it also faces challenges such as high communication costs and heterogeneous client data.In order to address the above issues. …”
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Artificial Intelligence Applied to the Analysis of Biblical Scriptures: A Systematic Review by Bruno Cesar Lima, Nizam Omar, Israel Avansi, Leandro Nunes de Castro

“…Emphasis is given to what types of tasks are being solved, what are the main AI algorithms used, and their limitations. The findings deliver a general perspective on how this field is being developed, along with its limitations and gaps. …”
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Enhanced Fishing Monitoring in the Central-Eastern North Pacific Using Deep Learning with Nightly Remote Sensing by Jiajun Li, Jinyou Li, Kui Zhang, Xi Li, Zuozhi Chen

“…In this study, enhanced fishing extraction algorithms based on computer vision were developed and tested. …”
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Design and evaluation of screening and self-care (mobile) application for oral and dental problems and emergencies by Sedighe Sadat Hashemikamangar, Aidin Sooratgar, Mina Khayamzadeh, Shayan Momeni, Ali Asghar Safaei, Behnaz Behniafar

“…Introdution: Although oral and dental diseases may occur in unexpected or even emergency conditions, but some of the diagnosis and treatments can be algorithmically done following some guidelines. The development and implementation of a system that provides users with a record of history and a proposal of required actions can be not only efficiently practical, but also virtually simple. …”
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Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea by Huiseong Noh, Jongso Lee, Narae Kang, Dongryul Lee, Hung Soo Kim, Soojun Kim

“…In recent years, with the increasing need for improving the accuracy of hydrometeorological data, interests in rain-radar are also increasing. Accordingly, with high spatiotemporal resolution of rain-radar rainfall data and increasing accumulated data, the application scope of rain-radar rainfall data into hydrological fields is expanding. …”
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EEG Functional Connection Analysis Based on the Weight Distribution of Convolutional Neural Network by Jinglong Wu, Peiwen Huang, Tiantian Liu, Go Ritsu, Duanduan Chen, Tianyi Yan

“…In this paper, we innovatively combined the functional connection with the deep learning algorithms and analysed the matrices after the weight distribution of each layer of the convolutional neural network (CNN) to obtain the connections that play a vital role in the classification. …”
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Advances in Interface Circuits for Self-Powered Piezoelectric Energy Harvesting Systems: A Comprehensive Review by Abdallah Al Ghazi, Achour Ouslimani, Abed-Elhak Kasbari

“…The paper also addresses the fundamental principles and challenges of converting mechanical vibrations into electrical energy. …”
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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer by WEI Pengyu, GAO Jiale, JI Maotong, TAN Yuanyuan, YAO Hongwei

“…Such innovation will not only transform surgical training programs and enhance the quality of multicenter clinical research, but also promote the standardization of precision surgical protocols. …”
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Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks by Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba, Ben Steer, Raul Mondragon, Felix Cuadrado, Renaud Lambiotte, Richard G. Clegg

“…Studying motif completion time reveals dynamics driven by human behaviour as well as algorithmic behaviour.…”
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Advanced Intrusion Detection in MANETs: A Survey of Machine Learning and Optimization Techniques for Mitigating Black/Gray Hole Attacks by Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar

“…We also discussed the potential of game theory and reinforcement learning for optimizing routing protocols and improving network resilience. …”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Fast reconstruction algorithms are essential for near real-time alignment, calibration, data quality control, and efficient analysis. …”
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Enhanced Real-Time Simulation of ROV Attitude and Trajectory Under Ocean Current and Wake Disturbances by Yujing Zhao, Shipeng Xu, Xiaoben Zheng, Lisha Luo, Boyan Xu, Chunru Xiong

“…The findings of this study indicate that the proposed optimized simulation system not only effectively verifies the applicability of control algorithms but also provides reliable data support for ROV design and optimization. …”
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The Citation Economy as a Site of Extraction for Surveillance Publishing by Danielle Colbert-Lewis, lawrence maminta, Kelly McElroy, Graeme Slaght, Mark Swartz

“…This is both literally, as the data collected by the publishing side can be incorporated into data analytics algorithms, and financially, as the profit margins of these academic publishing arms are astonishingly high. …”
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Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation by Huayou Su, Mei Wen, Nan Wu, Ju Ren, Chunyuan Zhang

“…Not only the compute intensive components of the H.264 encoder are parallelized but also the control intensive components are realized effectively, such as CAVLC and deblocking filter. …”
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Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision by Florencia B. Rossi, Nicola Rossi, Gabriel Orso, Lucas Barberis, Raul H. Marin, Jackelyn M. Kembro

“…YOLO) from top-view video recordings of pens. These tags can also accommodate sensors, such as accelerometers. …”
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Reducing Safety Risks in Construction Tower Crane Operations: A Dynamic Path Planning Model by Binqing Cai, Zhukai Ye, Shiwei Chen, Xun Liang

“…A comparison between the proposed model and other regular algorithms was also conducted, and the results show that compared with traditional RRT and APF algorithms, the proposed model reduces the average maximum collision times by 50. …”
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A comprehensive review of artificial intelligence approaches for smart grid integration and optimization by Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, Andrea Guercio, Giansalvo Cirrincione, Hasan Ali Khattak

“…This review also presents the decentralized and centralized EMS-based energy-sharing mechanism between interconnected micro grids. …”
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Incidence of Conjunctivitis and Keratitis Among Individuals with Moderate-to-Severe Atopic Dermatitis Treated with Dupilumab in the United States: a Cohort Study in Routine Care Ba... by Jessica M. Franklin, Andrea F. Marcus, Ihtisham Sultan, Ashley Howell, Sarah-Jo Sinnott, Jeannette Green, Stephen Ezzy, Robert Gately, Rachel E. Sobel, Florence T. Wang

“…Studies using real-world data have also shown a higher incidence with dupilumab but did not use validated algorithms to identify the population and outcomes. …”
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Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method by Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG

“…Specifically, the success rate of obstacle avoidance in dynamic environments increased by 35% compared to traditional algorithms and by 10% compared to improved algorithms. …”
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Development and Validation of a Clinical Risk Model for Predicting Malignancy in Patients with Thyroid Nodules by Shiva Borzouei, Ali Safdari, Erfan Ayubi

“…Generally, there was no difference among the six ML algorithms in terms of prognostic performance; however, the prognostic parameters of GLM and LDA algorithms were higher than the others. …”
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