Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems by Wissem Dilmi, Sami El Ferik, Fethi Ouerdane, Mustapha K. Khaldi, Abdul-Wahid A. Saif

“…Automation of logistics enhances efficiency, reduces costs, and minimizes human error. Image processing—particularly vision-based AI—enables real-time tracking, object recognition, and intelligent decision-making, thereby improving supply chain resilience. …”
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Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks by Giacomo Villa, Serena Cerfoglio, Alessandro Bonfiglio, Paolo Capodaglio, Manuela Galli, Veronica Cimolin

“…The IMU-based system demonstrated high concurrent validity, with non-significant differences in most tasks, root mean square error values generally below 7°, percentage of similarity greater than 97%, and strong correlations (<i>r</i> ≥ 0.77) with the reference system. …”
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A study of O/X wave data assimilation and inversion for ionospheric vertical electron density profiles by Longlong Niu, Chen Zhou, Na Wei, Zhong-Xin Deng, Yun Ning, Rong Chen, Wen Liu

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Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

“…The C-BLSTM-AE model achieves a low Mean Absolute Error (MAE) of 0.52 % under fixed ambient temperature conditions and maintains a MAE of 1.03 % for variable ambient temperatures. …”
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Predicting executive functioning from walking features in Parkinson’s disease using machine learning by Artur Piet, Johanna Geritz, Pascal Garcia, Mona Irsfeld, Frédéric Li, Xinyu Huang, Muhammad Tausif Irshad, Julius Welzel, Clint Hansen, Walter Maetzler, Marcin Grzegorzek, Nico Bunzeck

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K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network by Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C. Millham

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A comprehensive antigen-antibody complex database unlocking insights into interaction interface by Yuwei Zhou, Wenwen Liu, Ziru Huang, Yushu Gou, Siqi Liu, Lixu Jiang, Yue Yang, Jian Huang

“…Researchers can access AACDB completely online at http://i.uestc.edu.cn/AACDB. …”
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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

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Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities by Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt

“…Key advantages of AI integration in endoscopy include improved sensitivity, minimized detection errors, and the potential to optimize clinical workflow efficiency. …”
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Using dead-reckoning to track movements and map burrows of fossorial species by James Redcliffe, Jesse Boulerice, Itai Namir, Rory Wilson, William J. McShea, Hila Shamon

“…In addition, the 2D dead-reckoning process documented all turns (100%) in our plastic tunnel system and had a mean error of 15.38 cm over all test tunnel lengths of up to 4 m. …”
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The role of feed-in tariffs in encouraging insurance companies to invest in renewables by Serhiy Lyeonov, Artem Artyukhov, Laura Bokenchina, Diana Sitenko, Yuliia Yehorova, Maksym Zhytar, Alla Moroz

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Parameter calibration and application of GTN damage model for girth weld in X80 pipeline by Zhonghao CUI, Yanhe LIU, Haitao WANG, Yanlong LUO, Xinjun ZHANG, Shili LI, Shaokun ZHOU

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Evaluating Leaf Water Potential of Maize Through Multi-Cultivar Dehydration Experiments and Segmentation Thresholding by Shuanghui Zhao, Yanqun Zhang, Pancen Feng, Xinlong Hu, Yan Mo, Hao Li, Jiusheng Li

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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…The generalization performance of the proposed method is validated through comparative experiments using a battery dataset provided by the Center for Advanced Life Cycle Engineering (CALCE) Research Center at the University of Maryland. Experimental results show that the coefficient of determination (R²) consistently exceeds 0.985, with the average absolute error in SOH prediction for four batteries remaining around 0.5%. …”
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A case study on thermal conductivity characteristics and prediction of rock and soil mass at a proposed ground source heat pump (GSHP) site by Yongjie Ma, Jingyong Wang, Fuhang Hu, Echuan Yan, Yu Zhang, Hao Deng, Xuefeng Gao, Jianguo Kang, Haoxin Shi, Xin Zhang, Jianqiao Zheng, Jixiang Guo

“…The thermal conductivity of rock mass is positively correlated with water content, negatively correlated with porosity and positively correlated with density. The result error of the in-situ thermal conductivity prediction model established by calculation is mainly within ± 5%, which is reliable and accurate. …”
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The mediating role of instrumental activities of daily living between cognitive function and depressive symptoms in community-dwelling older adults: the Arao study by Maiko Nagaoka, Katsuya Nagaoka, Naoto Kajitani, Seiji Yuki, Asuka Koyama, Kazuhiro Yoshiura, Kazuki Honda, Yusuke Miyagawa, Shuken Boku, Noboru Fujise, Minoru Takebayashi

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OPTIMIZATION OF THE METHOD FOR OBTAINING NANOCAPSULES, DEVELOPMENT OF THE METHODS OF DETERMINING THE DEGREE OF CINNARIZINE INCLUSION IN A PROLONGED DOSAGE FORM BASED ON POLY-D, L-L... by M. V. Sorokoumova, N. V. Blagorazumnaya, V. A. Kompantsev, L. I. Shcherbakova, N. S. Zyablitseva, Yu. G. Medvetskaya, T. M. Vasina, K. A. Miroshnichenko

“…Taking into account the characteristics of production and the physicochemical properties of the components, they make a reliable analysis of the degree of cinnarizine inclusion in nanocapsules possible. The relative error of the developed methods of determination does not exceed ± 2.67%. …”
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A novel multi-task learning model based on Transformer-LSTM for wind power forecasting by Rongquan Zhang, Siqi Bu, Yuxia Zheng, Gangqiang Li, Xiupeng Wan, Qiangqiang Zeng, Min Zhou

“…Current wind power forecasting research usually focuses on single-task deterministic forecasting, but there is less research on multi-task learning for multi-step deterministic and probabilistic forecasting. …”
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Integrating knowledge management with smart technologies in public pharmaceutical organizations by Muhanad Mahmoud, Talaat Shma, Adel Aziz, Abdelrehim Awad

“…The sample size of 372 was calculated using a 95% confidence level and a 5% margin of error, proportionally distributed across organizations and roles. …”
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Numerical Analysis and Validation of Horizontal and Vertical Displacements of a Floating Body for Different Wave Periods by Marla Rodrigues de Oliveira, Liércio André Isoldi, Elizaldo Domingues dos Santos, Luiz Alberto Oliveira Rocha, Mateus das Neves Gomes

“…Therefore, this research intends to facilitate the analysis of floating devices. …”
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