Small target detection in UAV view based on improved YOLOv8 algorithm by Xiaoli Zhang, Guocai Zuo

“…Firstly, a bi-directional feature pyramid network (BiFPN) is introduced to enhance the fusion capability of the features. …”
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A High-Repeatability Three-Dimensional Force Tactile Sensing System for Robotic Dexterous Grasping and Object Recognition by Yaoguang Shi, Xiaozhou Lü, Wenran Wang, Xiaohui Zhou, Wensong Zhu

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AI-enhanced modelling of queueing and scheduling systems in cloud computing by Himani Chaudhary, Geetanjali Sharma, D. K. Nishad, Saifullah Khalid

“…This research introduces an innovative AI-enhanced framework combining deep workload prediction and reinforcement learning for dynamic scheduling. The framework features a dual-layer neural network architecture with a hybrid decision engine that merges conventional queueing metrics with learned policies. …”
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Spatial-temporal dynamics of thermal pollution of the environment in Essentuki by E. A. Skripchinskaya, D. S. Tasenko, M. B. Kagan

“…The coefficients of landscaping, urban planning load and free territory are calculated. Based on the results of the work, the spatial features of the distribution of thermal anomalies associated with the active development of microdistricts of the city were established. …”
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A Study on the Feasibility of Natural Frequency-Based Crack Detection by Xutao Sun, Sinniah Ilanko, Yusuke Mochida, Rachael C. Tighe

“…Thus, critical crack lengths corresponding to a series of safety factors are obtained by equating service load with critical load. After obtaining natural frequencies of the cracked plates with critical crack lengths, the natural frequency drop caused by a critical crack can be computed. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…This feature provides a real-time assessment of cane availability. …”
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Possibility to increase the speeds of express and high-speed trains by turnouts and connecting tracks by A. M. Brzhezovskiy, B. E. Glyuzberg, M. I. Titarenko, I. E. Il’In, V. S. Viktorov, V. N. Tulushev

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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

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Low-Voltage Alternating Current Series Arc Fault Detection Using Periodic Background Subtraction and Linear Dividing Lines by Xiaofei Zhang, Jinjie Li, Bangzheng Han, Wei Wang, Guofeng Zou

“…To address the challenges in fully expressing the fault features of low-voltage series arcs and the limitations of existing detection algorithms, this paper proposes a novel method combining periodic background subtraction and linear dividing lines for detecting arc faults. …”
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Differential replication, pathology, and immune response of clade IIb mpox virus in C57BL/6 and BALB/c mice by Meimei Duan, Xiangmei Zhang, Xian Tang, Zhuohuan Li, Wenqi Huang, Qi Chen, Mingxia Zhang, Lin Cheng, Zheng Zhang

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YOLO-EFM: Efficient traffic flow monitoring algorithm with enhanced multi-level information fusion by Shizhou Xu, Kaidi Cui

“…The study establishes a generalized efficient layer aggregation network incorporating Sobel convolution and develops a novel feature focus module that effectively aggregates information from different feature map levels. …”
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Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…First, a multi-stage joint optimization feature selection model is constructed to capture the 12 feature sets that are most conducive to grid congestion warning from the massive grid history data containing 622 features. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…This classical method identifies a feature subset that maximizes the correlation between features and targets and minimizes redundancy between features based on mutual information. …”
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Opportunistic diseases as the cause of damage to the central nervous system in patients with HIV-infection by A. S. Shelomov, E. V. Stepanova, O. N. Leonova, N. L. Smirnova

“…These patients were divided into two groups: Group 1 (main group) consisted of 63 patients with clinical features of CNS involvement and Group 2 (control group) consisted with 65 patients without clinical features of CNS involvement (65). …”
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Evaluated Method for Air-conditioning System in Protective Engineering by Sheng Jun, Miao Xiaoping, Wei Huan, Wei Zijie, Shao Guangming

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Enhancing Smart Grids for Sustainable Energy Transition and Emission Reduction with Advanced Forecasting Techniques by Farah Rania, Farou Brahim, Kouahla Zineddine and Seridi Hamid

“…To achieve this goal, we propose a transformer-based encoder architecture for load forecasting by modifying the transformer workflow and designing a novel technique for handling contextual features. …”
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Assessment of the Impact of the Adverse Economic Geopolitical Environment on the Worth of Russian Oil and Gas Companies by V. S. Lipatnikov, K. A. Kirsanova

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Level of tumor-infiltrating lymphocytes and PD status as potential prognostic markers of survival and therapy effectiveness in triple-negative breast cancer by A. F. Nasretdinov, N. I. Sultanbaeva, Sh. I. Musin, A. V. Pushkarev, K. V. Menshikov, V. A. Pushkarev, A. V. Sultanbaev

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A comparative analysis of the most common deterministic methods for the calculation of electricity losses in industrial networks by E. I. Gracheva, Z. M. Shakurova, R. E. Abdullazyanov

“…The method of graphical integration, the method of calculating electricity losses using the maximum loss time, the method of determining losses by time 2t, the method of calculating electricity losses by the average node loads are considered. The features of the application of each method are revealed. …”
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