Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology by C. Jayasri, V. Balaji, C. M. Nalayini, S. Pradeep

“…Detection is executed through an Improved Long Short-Term Memory (ILSTM) model, whose parameters are optimized using the Crocodile Optimization Algorithm (COA), aiming to maximize classification accuracy. Experimental results demonstrate that the proposed ILSTM-COA model significantly outperforms existing techniques, achieving 98.9% accuracy and showing notable improvements across sensitivity, specificity, and other performance metrics. …”
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The influence of FinTech and gender diversity on bank financial stability: experience from Jordan by Faraj Salman Alfawareh, Mohammed Degan, Aram Jawhar Mohammad

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Barriers and facilitators to recommended physical activity in lower-limb osteoarthritis: protocol for a qualitative study exploring patients and physiotherapist perspectives using... by Alison Rushton, Matthew James Willett, Carolyn Greig, David Rogers, Sally Fenton, Joan Duda

“…Data will be coded following thematic analysis, with barriers and facilitators mapped to the constructs on the theoretical domains framework, and behaviour change techniques identified following definitions from Michie’s V1 taxonomy.Ethics and dissemination Findings from this study will inform development of a physiotherapy intervention underpinned by behaviour change theory aiming to optimise adherence to PA prescription in patients with lower-limb OA during the treatment and post-treatment time periods. …”
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A Comprehensive Analysis of Multi-Channel Mac and Clustering Protocols for Robust and Energy-Efficient Wireless Sensor Networks by Sushma P. Pawale, Poornima G. Patil

“…This analysis paper compares contemporary techniques within two significant protocol categories: Multi-Channel Medium Access Control (MAC) protocols and Cluster-Based protocols. …”
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Service quality and price perception as catalysts for customer engagement and experience in automotive aftersales by Abdallah Amro, Asad Ur Rehman, Azlan Ali

“…A cross-sectional research design was used to collect data from 395 customers through stratified sampling techniques. …”
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SOCIETY, SEAFARING AND WATERCRAFT IN PREHISTORIC OCEANIA by Lukáš Petrík

“…In the absence of concrete empirical data, such research holds the potential to enrich our knowledge of seafaring, navigational techniques, and canoe usage in prehistoric Oceania, mainly during the Lapita and subsequent post-Lapita periods.…”
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A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans by M.N. Nguyen

“…This review provides a comprehensive overview of current DL approaches applied to CXRs and CT scans for lung cancer detection. Various DL techniques and their ability are explored to address challenges such as data scarcity, imbalanced datasets, and overfitting. …”
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Comparing Models and Performance Metrics for Lung Cancer Prediction using Machine Learning Approaches. by Ruqiya, Noman Khan, Saira Khan

“…This research focuses on utilizing Machine-Learning (ML) to detect early-stage lung cancer, aiming to address these major public health concerns by using ML to help develop more efficient early detection techniques. …”
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Shortcuts in multiple dimensions: the multiaxial racetrack filter by M.A. Meggiolaro, J.T.P. Castro, H. Wu

“…Filtering techniques have been proposed for multiaxial load histories, usually aiming to filter out non-reversals, i.e. sampling points that do not constitute a reversal in any of its stress or strain components. …”
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Research Progress in the Screening of Antimicrobial Substances Based on Machine Learning by HOU Jiangxia, JIANG Jinhui, WANG Chenxin, WANG Lan, SHI Liu, WU Wenjin, GUO Xiaojia, CHEN Sheng, CHEN Lang, CAO Feng, SUN Li, ZHOU Zhi

“…It provides an in-depth exploration of machine learning applications in the discovery of antimicrobial peptides, essential oils, and polyphenols, aiming to offer valuable insights into the application of machine learning techniques for identifying antimicrobial compounds.…”
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Predicting Flight Delays with Machine Learning: A Case Study from Saudi Arabian Airlines by Meshal Alfarhood, Rakan Alotaibi, Bassam Abdulrahim, Ahmad Einieh, Mohammed Almousa, Abdulrhman Alkhanifer

“…In this paper, we leverage the power of artificial intelligence and machine learning techniques to build a framework for accurately predicting flight delays. …”
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Finite element analysis-assisted surgical planning and evaluation of flap design in hand surgery by Guang Yang, Hui Shen, Yewon Jang, Xiangyi Cheng

“…These include exploring techniques to unfold 3D wound surfaces into 2D representations, which can improve mesh quality and computational efficiency; validating FEA simulations through large-scale, multicenter clinical studies to ensure robustness and generalizability; developing real-time AR/MR systems that integrate simulation or optimization results into surgical workflows; and creating AI-powered platforms that learn from clinical data to provide adaptive and personalized flap design recommendations. …”
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Unveiling the Distinctive Impact of Vocational Schools Link and Match Collaboration with Industries for Holistic Workforce Readiness by Yoto, Suyetno Agus, Wibawa Aji Prasetya, Paryono, Romadin Achmad

“…Thematic analysis is used for qualitative data, while descriptive statistics and Likert scale analysis handle quantitative data. …”
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A Review of the Potential of Drone-Based Approaches for Integrated Building Envelope Assessment by Shayan Mirzabeigi, Ryan Razkenari, Paul Crovella

“…This study provides a review of the potential of a drone-based approach to integrated building envelope assessment, aiming to streamline the process. By evaluating various scanning techniques and their integration with drones, this research explores how drones can enhance data collection for defect identification, as well as digital model creation. …”
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The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Polina Kozlovska, Marek Staude, Sylwia Sokołowska

“…We examined empirical and conceptual studies published between 2010 and 2024 that address the deployment of AI in renewable energy, the circular economy paradigm, and model distillation and low-energy AI techniques. Our findings indicate that adopting distilled AI models can significantly reduce energy consumption in data processing, enhance grid optimization, and support sustainable resource management across the lifecycle of renewable energy infrastructures. …”
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Fusion of Satellite and UAV Imagery for Crop Monitoring by A. R. Allu, S. Mesapam

“…Brovey Transform (BT) and Principal Component Analysis (PCA) fusion techniques are used to fuse the UAV and satellite images, aiming to leverage the high spatial resolution of UAV imagery with the broader spectral range of S2 data. …”
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Overheating Defect Detection of Composite Insulator Based on Mask R-CNN by Yi GAO, Lianfang TIAN, Qiliang DU

“…Aiming at the problems of large workload and low intelligence of the current infrared image-based overheating defect detection techniques for composite insulators, and the poor accuracy and poor generalization performance of the traditional image segmentation methods in complex backgrounds, an overheating defect detection method is proposed for composite insulators based on instance segmentation network Mask R-CNN. …”
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Review Articles on Soccer Performance Analysis: A Bibliometric Analysis of Current Trends and Emerging Themes by Spyridon Plakias

“…Methods: A systematic search was conducted in the Scopus database on 24 January 2025, using a comprehensive Boolean expression to identify relevant review articles. The extracted data were analyzed using VOSviewer (1.6.20.0). We employed bibliometric performance analysis, science mapping, and clustering techniques including co-authorship, co-occurrence, bibliographic coupling, and co-citation analyses. …”
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Computer Vision Meets Generative Models in Agriculture: Technological Advances, Challenges and Opportunities by Xirun Min, Yuwen Ye, Shuming Xiong, Xiao Chen

“…The integration of computer vision (CV) and generative artificial intelligence (GenAI) into smart agriculture has revolutionised traditional farming practices by enabling real-time monitoring, automation, and data-driven decision-making. This review systematically examines the applications of CV in key agricultural domains, such as crop health monitoring, precision farming, harvesting automation, and livestock management, while highlighting the transformative role of GenAI in addressing data scarcity and enhancing model robustness. …”
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Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis by Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou

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