Logical reasoning for human activity recognition based on multisource data from wearable device by Mahmood Alsaadi, Ismail Keshta, Janjhyam Venkata Naga Ramesh, Divya Nimma, Mohammad Shabaz, Nirupma pathak, Pavitar Parkash Singh, Sherzod Kiyosov, Mukesh Soni

“…Most of the research that is being conducted uses a machine learning-based methodology; however, these approaches frequently have issues with high computing resource consumption, burdensome training data gathering, and restricted scalability across many contexts. …”
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Statistical analysis of the current state and forecasting the results of marketing enterprises in the conditions of application of information and communication technologies during... by T.P. Ostapchuk, S.F. Lehenchuk, P. Ucheklak-Yezh, I.R. Polishchuk

“…A comparative description of statistical indicators on the use of information and communication technologies in processing, trade, construction, transport, tourism and marketing enterprises is presented. …”
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Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project by E. Kouzeli, K. Nikolakopoulos, O. Sykioti, S. Asadzadeh, F. Koerting, D. Schläpfer

“…Mine wastes, including tailings (the by-products of mineral processing), are subject to weathering, leading to environmental issues. …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…The rising demand for compute-intensive mobile applications challenges the limited energy and processing power of user equipment (UE). While Mobile Edge Computing (MEC) enables task offloading to nearby servers, deploying fixed MEC infrastructure is often impractical in settings like disaster zones or temporary high-density events. …”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…This framework leverages multi-flight inputs and inverted data processing to enrich feature representation and optimize the modeling of multi-variate time series. …”
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Scalable metal-based nanoparticle synthesis via laser ablation in liquids for transformative sensory and synaptic devices by Jun-Gyu Choi, Seokhyeon Baek, Junghoon Lee, Sungjun Park

“…However, traditional NP fabrication methods often involve complex processing, residual contaminants, and scalability issues, limiting their effectiveness in ASS applications. …”
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Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring by Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang

“…Deformation monitoring of Gas-Insulated Transmission Lines (GILs) is critical for the early detection of structural issues and for ensuring safe power transmission. In this study, we introduce a rapid monocular measurement method that leverages deep learning for real-time monitoring. …”
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Optimizing Automated Educational Systems: Adaptive Syllabus Generation and Precise Assessment Using Artificial Intelligence by William Villegas-Ch, Jaime Govea, Roque Albuja, Diego Buenano-Fernandez, Aracely Mera-Navarrete

“…However, current automated systems often struggle with precision, relevance, and usability issues, particularly in adapting to the specific needs of diverse educational contexts. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…Individual physiotherapy is crucial in treating patients with various pain and health issues, and significantly impacts abdominal surgical outcomes and further medical problems. …”
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Research on Supraharmonic detection in renewable energy grid Inte-gration based on improved ResNet18 by Yangyang Zhu, Fei Zhong, Jiaqi Gao, Yuntai Cao, Xiaotian Wang, Zhihong Jiang

“…The improved ResNet18 model demonstrates greater reliability when processing new data, offering stronger generalization capability, better model stability, and enhanced robustness.…”
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Enhancing Prospecting Target Prediction Precision: A Multi-Source Data Mining Approach in Gansu’s Beishan Area by Lihui Zhu, Runsheng Han, Yan Zhang, Hao Fu, Jianmin Luo, Yunzhi Luo

“…This study is founded on the core principle of geoscience big data: to “uncover correlations within data to address geological issues”. Taking geochemical prospecting and aeromagnetic data from the Beishan area in Gansu Province as a case in point, this study emphasizes the significance of meticulous data processing in averting potential errors. …”
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The Effect of Stabilization Conditions on Fibers from Polylactic Acid and Their Properties by Mária Petková, Anna Ujhelyiová, Jozef Ryba, Veronika Hrabovská, Martin Kurtulík

“…Under the monitored stabilization conditions, shrinkage was reduced (especially at higher stabilized temperatures above 85 °C), which can improve the next process of textile processing (knitting and weaving). …”
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A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles by Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma

“…Abstract This swift growth in Internet of Vehicle (IoV) networks has created serious security issues, primarily in intrusion detection due to the fact that these are complex, dynamic, and large-scale networks. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…To address the issues of uneven feature point distribution, environmental interference, and insufficient real-time performance in UAV image stitching in complex urban environments, this paper proposes an improved ORB algorithm based on Gaussian scale-space optimization and dynamic grid division, combined with a global geometric consistency optimization strategy. …”
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Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions by R Suganya, P Balaramesh, S Kannadhasan, V Chandrasekhar, S R Arun Raj, R Dhilipkumar

“…Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. …”
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SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Additionally, we developed a post-processing module to categorize areas into flooded and non-flooded. …”
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Research on the Lossless Data Compression System of the Argo Buoy Based on BiLSTM-MHSA-MLP by Sumin Guo, Wenqi Zhang, Yuhong Zheng, Hongyu Li, Yilin Yang, Jiayi Xu

“…We constructed an Argo buoy data compression system using the main buoy control board, Jetson nano development board, and the BeiDou-3 satellite transparent transmission module. By processing input sequences bidirectionally, BiLSTM enhances the understanding of the temporal relationships within profile data, whereas the MHSA processes the outputs of the BiLSTM layer in parallel to obtain richer representations. …”
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SOME ASPECTS OF IMMUNE SYSTEM FUNCTIONING IN HEALTHY DONORS SUBJECTED TO XENOGENOUS EXPOSURE by O. O. Obukhova, A. N. Trunov, O. M. Gorbenko, A. P. Shvajuk, A. V. Obukhov, S. M. Chornaja

“…In present work, we studied some interrelations between tobacco smoking and the processes of immune system stimulation in healthy blood donors. …”
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Evaluation of the Energy Balance Components of a Mobile Robotic Module for In-Pipe Diagnostics on a Wheeled Chassis by Roman Yu. Dobretsov, Dmitrii S. Popov, Yaroslav N. Smirnov, Vladislav A. Volkov

“…The chassis is designed to accommodate in-pipe diagnostics equipment or other process equipment. The approach is based on the analysis of the machine operating conditions and the chassis design features. …”
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Effect of Intermediate Annealing Before Cold Rolling on Microstructure and Mechanical Properties of Medium Manganese Steel and Mechanism of Phase Transformation Plasticity by Shun Yao, Kuo Cao, Di Wang, Junming Chen, Aimin Zhao

“…To address the issue of cracking in cold-rolled medium manganese steel caused by the formation of a large amount of martensite after hot rolling, intermediate annealing was conducted prior to cold rolling. …”
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