Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…In the rapidly advancing era of educational technology, customized learning materials have the potential to enhance individuals’ learning capacities. …”
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Deciphering the heterogeneity of epithelial cells in pancreatic ductal adenocarcinoma: implications for metastasis and immune evasion by Jie Liu, Hui Li, Xiuyun Lin, Jiani Xiong, Guangfeng Wu, Lingyan Ding, Bin Lin

“…A prognostic model incorporating five key genes, including KLF6, was developed and demonstrated strong predictive accuracy for patient outcomes. Notably, KLF6 emerged as a critical prognostic marker associated with immune modulation, particularly through interactions with M2 macrophages. …”
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Dehydrotanshinone II A alleviates osteoarthritis via activating PPARγ to inhibit ferroptosis in chondrocytes by Wenli Guan, Fahu Yuan, Xin Wang

“…Bioinformatics analysis identified five key genes (CDKN1A, HMOX1, DPP4, GJA1, and PPARγ), among which PPARγ and HMOX1 exhibited strong predictive potential with AUC values > 0.8. Molecular docking analysis revealed that DHT IIA exhibited the lowest binding energy with PPARγ (-8.15 kcal/mol), indicating it as the most likely therapeutic target. …”
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Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Survei... by Lasse Suonperä Liebst, Wim Bernasco, Peter Ejbye-Ernst, Nigel van Herwijnen, Thomas van der Veen, Dennis Koelma, Cees G M Snoek, Marie Rosenkrantz Lindegaard

“…We automatized the analysis of this footage using a computer vision algorithm designed for pedestrian detection and estimation of metric distances between individuals in the video still frames. …”
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

“…ResultsOur quantitative study suggests scattered effects of including categorical data for machine learning model training across predictive classes. Our qualitative analysis gives insights into how the categorical data were collected and why they were published, explaining some of the quantitative effects that we observed. …”
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Dynamic Resource Allocation in Hybrid Access Femtocell Network by Afaz Uddin Ahmed, Mohammad Tariqul Islam, Mahamod Ismail, Mohammad Ghanbarisabagh

“…In this paper, a dynamic resource allocation management algorithm (DRAMA) for spectrum shared hybrid access OFDMA femtocell network is proposed. …”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…Moreover, the reduction of errors during the process of crankshafts restoration would improve the quality of repair, thus prolonging the crankshaft serviceability.…”
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Multiobjective Evaluation of Configurations for Hybrid Electric Bus Equipped With Hybrid Energy Storage System Based on Optimal Energy Management Strategy by Kegang Zhao, Yelin Xie, Kunyang He, Zhihao Liang, Yanwei Liu

“…The results reveal that, for an 18-ton urban bus, under equivalent variations in battery SoH, the power-split configuration demonstrates an average fuel consumption reduction of 10.7% compared to the series-parallel configuration. …”
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THE USE OF CORRELATION ANALYSIS OF TWO-DIMENSION STOCHASTIC PROCESS FOR HELICOPTER MAINTENANCE WORKABILITY ESTIMATION by Y. M. Chinyuchin, A. S. Solov’ev

“…The new calculated program complex which main task is to find the optimal algorithm of stochastic helicopter de- sign and assembling in terms of maintenance efficiency is described. …”
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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

“…To tackle the high computational demands and accuracy limitations in UAV-based infrared object detection, this study proposes YOLO-SMUG, a lightweight detection algorithm optimized for small object identification. …”
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Memory‐constrained implementation of lattice‐based encryption scheme on standard Java Card platform by Ye Yuan, Kazuhide Fukushima, Junting Xiao, Shinsaku Kiyomoto, Tsuyoshi Takagi

“…Two efficient discrete Gaussian sampling approaches, known at the discrete Ziggurat sampling algorithm and Knuth–Yao algorithm, were implemented on the Java Card and resulted in a reduction in running times. …”
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A Methodology for Situation Assessing of Space-Based Information Networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…The proposed method first applies principal component analysis for dimensionality reduction, followed by pre-labeling situational factor data using an improved K-means clustering algorithm. …”
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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…For this purpose, the study aims to optimize the You Only Look Once (YOLO) processing algorithm for drone images to improve the detection efficiency. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…The comparative results demonstrate that, while satisfying the positioning error requirements, our proposed method achieves a reduction of over 1.5% in total flight distance for maritime UAVs compared to the NSGA-II algorithm.…”
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Sensorless Compensation of DC-Link Current Pulsations in Energy Storage Systems by Dariusz Zieliński, Maciej Rudawski, K. Gopakumar

“…A sensorless compensation algorithm based on AC-side voltage and current measurements is proposed, eliminating the need for additional sensors. …”
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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…The research results provide valuable decision-making support for fresh cold chain enterprises to develop resilient and low-carbon network optimization strategies for cost reduction, efficiency improvement, and sustainable development.…”
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Fuzzy Control Strategy for Wind Turbine Vibration Suppression under Complicated Operating Conditions by JIANG Tao, LIU Hongwen, LU Shixin, ZHOU Jian, CHANG Sheng

“…This strategy incorporates a vibration recognition algorithm to classify vibration conditions and a fuzzy control algorithm for vibration suppression based on the categorized conditions. …”
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Recurrent Neural Network-Based Autoencoder for Problems of Automat-ic Time Series Analysis at Power Facilities by Matrenin P.V., Khalyasmaa A.I., Potachits Y.V.

“…The most significant achieve-ments of the study are both the autocoding neural network model, which does not require initial assumption about the type of deviations, and the proposed algorithm for prioritizing the data fragments. The significance of the results is prooved by the reduction of the time for analyzing and labeling large data arrays with technological parameters of the electrical networks, which allows using these data for training, validating and testing.…”
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Projecting Forest Fire Probability in South Korea Under Climate Change, Population, and Forest Management Scenarios Using AI & Process-Based Hybrid Model (FLAM-Net) by Hyun-Woo Jo, Myoungsoo Won, Florian Kraxner, Seong Woo Jeon, Yowhan Son, Andrey Krasovskiy, Woo-Kyun Lee

“…Enhancements included improving backpropagation for optimization and introducing algorithms for national-specific fire ignition dynamics. …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

“…Three different publicly available datasets have been used based on the age group to create the best predicting model for each case. After handling missing values, balancing the dataset, and analyzing the classifier’s performance, it is found that tree-based algorithms, particularly RF, perform better for all the datasets. …”
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