Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction by Zhenghui Mao, Bijun Zhou, Jiaxuan Huang, Dandan Liu, Qiangqiang Yang

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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…The research is based on the analysis of historical and archaeological materials from the Uvek settlement. …”
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Research on the Forward Simulation and Intelligent Detection of Defects in Highways Using Ground-Penetrating Radar by Pengxiang Li, Mingzhou Bai, Xin Li, Chenyang Liu

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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…Then, after the pre-processing operation, the process of segmentation and identification of the region of interest (ROI) is performed using a combination of the fuzzy c-means (FCM) algorithm and the capuchin search algorithm (CapSA) algorithm. …”
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Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm by Waleed Khalid Al-Azzawi, Ahmed Majed Althahabi, Kadhum Al-Majdi, Jenan Ali Hammoode, Ali Hussein Adhab, Alaa M. Lafta, Julayeva Zhazira, Ðbdukarimov Sadratdin

“…To address this challenge, researchers have developed a combined system that incorporates wind and solar resources with a battery as a storage device, which can provide a sample load pattern independent of the grid. …”
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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

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Research on Gamma Image Reconstruction Method Based on Multi-distance System Matrix Superposition by WU Yuan1, 2, , XU Feng1, 2, , ZHOU Yicong1, 2, XIAO Yufeng1, 2, ZHENG Yulai3

“…As radioactive sources are increasingly used in scientific research, industry and other fields, radioactive sources are often lost due to improper management and control. …”
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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…We further validated our findings in the All of Us Research Program, a diverse, nationally representative cohort. …”
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Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems by Mai Hao, Ming Cai, Minghui Fang, Shuxin Jin

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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Future research should focus on utilizing high-resolution spatiotemporal data, refining algorithms, and developing mechanisms to translate research findings into practical urban planning and ecological management policies.…”
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BiAF: research on dynamic goat herd detection and tracking based on machine vision by Yun Hou, Mingjuan Han, Wei Fan, Xinyu Jia, Zhuo Gong, Ding Han

“…To optimize grassland resources and implement scientific grazing practices, livestock grazing monitoring has become a pivotal area of research. Traditional methods, such as manual tracking and wearable monitoring, often disrupt the natural movement and feeding behaviors of grazing livestock, posing significant challenges for in-depth studies of grazing patterns. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…However, current research on CMM pattern recognition often neglects the complex relationships among its influencing factors. …”
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A survey on fish classification techniques by Mutasem K. Alsmadi, Ibrahim Almarashdeh

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Empirical Antibiotic for Diabetic Foot Infection in Indonesian Tertiary Hospital, Is It Time to Rethink the Options? by Hikmat Permana, Aluisha Saboe, Nanny NM Soetedjo, Dewi Kartika, Bachti Alisjahbana

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Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users by Li Jinhao

“…Subsequently, machine - learning algorithms are utilized to analyze user behavior data, identifying personalized demand patterns. …”
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Estimating cover image for universal payload region detection in stego images by Punam Bedi, Anuradha Singhal

“…Finding the length of payload and regions where the message is hidden, in a stego object is a challenging task and forms a part of Active or Forensic Steganalysis. Many researchers have worked towards finding the length of message, but not much work has been done on finding region where message is hidden. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…In addition to improving the accuracy of CO₂ emissions forecasting, this integrated approach delivers interpretable explanations of the significant factors of CO₂ emissions, aiding policymakers and researchers focused on climate change mitigation in data-driven decision-making.…”
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