The Aggregation Mechanism Mining of Passengers’ Flow with Period Distribution Based on Suburban Rail Lines by Xiaobing Ding, Hua Hu, Zhigang Liu, Haiyan Zhu

“…Saving energy consumption improves the service level of rail transit. The research can play a positive role in the operation of energy consumption and can improve the service level of urban rail transit.…”
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LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks by Shaymaa E. Sorour, Mohammed Aljaafari, Amany M. Shaker, Ahmed E. Amin

“…The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks. …”
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Exploring dose–response variability and relative severity assessment in STZ-induced diabetes male NSG mice by Steven R. Talbot, Miriam Heider, Martin Wirth, Anne Jörns, Ortwin Naujok

“…Abstract NSG mice are among the most immunodeficient mouse model being used in various scientific branches. In diabetelogical research diabetic NSG mice are an important asset as a xenotransplantation model for human pancreatic islets or pluripotent stem cell-derived islets. …”
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Light stress diagnosis of rapeseed seedling stage based on hyperspectral imaging technology by WANG Yitian, ZHANG Xiaomin, JIANG Haiyi, ZHANG Yanning, LIN Yangyang, RAO Xiuqin

“…Then successive projection algorithm was used to extract characteristic wavelengths, and the continuous wavelet transform-stepwise discriminant analysis method was used to extract wavelet features. …”
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Modelling of Gust Factor Based Dynamic Loading of Buildings Using Python Programming by Pankaj Dumka, Rishika Chauhan, Amit Srivastava

“…In this research article, Python programming has been used to model the dynamic wind loading on the structures by using the Gust factor approach. …”
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Early Warning of Low-Frequency Oscillations in Power System Using Rough Set and Cloud Model by Miao Yu, Jinyang Han, Shuoshuo Tian, Jianqun Sun, Honghao Wu, Jiaxin Yan

“…The stability of the power system is largely affected by low-frequency oscillations, so early warning research on low-frequency oscillations in power grids has become an urgent task. …”
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Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…However, the motion errors of space mining robots in complex environments on the outer space surface of asteroids greatly hinder its applications. To bridge this research gap, a precise motion controller of the space mining robot is proposed in this study. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Techniques like knowledge distillation, model quantization, and pruning are proposed to enhance computational efficiency and minimize communication costs. Future research should focus on the application of these methods to enhance model reliability and efficiency.…”
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TabMoE: A General Framework for Diverse Table-Based Reasoning with Mixture-of-Experts by Jie Wu, Mengshu Hou

“…In recent years, the prevailing paradigm of pre-training and fine-tuning on tabular data has become increasingly prominent in research on table understanding. However, existing table-based pre-training methods frequently exhibit constraints, supporting only single tasks while requiring substantial computational resources, which hinders their efficiency and applicability. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…The article is based on the Dynamic Mode Decomposition (DMD) algorithm, combined with a series of preprocessing measures, to reconstruct the flow pattern of liquid-solid two-phase flow. …”
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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…It exhibits strong robustness and superior matching in weakly textured areas, offering a new research direction for feature matching in weakly textured images.…”
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Using Machine Learning to Understand Injuries in Female Agricultural Operators in the Central United States by Cheryl L. Beseler, Risto H. Rautiainen

“…Agriculture is dangerous work, and women are at risk of serious injury, but the research on injuries in females is sparse. Women perform different types of farmwork and have different exposures than men. …”
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Comprehensive Evaluation and Trade‐Off of Top‐Level Requirements for BWB UAVs by Xinshi Suo, Zhouwei Fan, Yundong Guo, Tengzhou Xu

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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…In order to address this type of situation, the current research offers an innovative approach to enhancing image quality. …”
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Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning by Yuxuan Ou, Fujing Xiong, Hairong Zhang, Huijia Li

“…Network dismantling is an important question that has attracted much attention from many different research areas, including the disruption of criminal organizations, the maintenance of stability in sensor networks, and so on. …”
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Design of a low-cost optical motion capture system using a multi-camera configuration and an asynchronous extended Kalman filter by Meyer Zakariya, Pretorius Arnold

“…The implications of this research are broad, offering a foundation for future explorations into cost- effective motion capture solutions. …”
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HALF: Histogram of Angles in Linked Features for 3D Point Cloud Data Segmentation of Plants for Robust Sensing by Hidenori Takauji, Naofumi Wada, Shun’ichi Kaneko, Takanari Tanabata

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Measuring and Fitting the Relationship between Socioeconomic Development and Environmental Pollution: A Case of Beijing–Tianjin–Hebei Region, China by Ming Meng, Tingting Pang, Liguo Fan

“…In this research, an entropy-based coupling model, a polynomial equation with partial least squares algorithm, and socioeconomic and environmental data in 2006–2015 were used to measure and fit the above relationship. …”
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Implementation of A Geographically Integrated On-Demand Computer Service System Using the KNN Method by Hafiq Ibnu Wardana, Astrid Novita Putri

“…On-demand services are services based on customer demand (Anjani & Sujarwo, 2023). This research aims to develop a web-based on-demand computer service system integrated with geographic location using the K-Nearest Neighbor (KNN) algorithm. …”
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IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM by Xin Yuan, Chenhui Wang, Xiaohong Chen, Mingxuan Wang, Ning Li, Changli Yu

“…To address the issue of color distortion and blurriness in underwater imageries, a hybrid Underwater Image Enhancement (UIE) method combining Adaptive Gray World Algorithm (GWA), Feature Fusion Attention Network (FFA-Net) and Unsharp Masking (USM) is proposed in this research. …”
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