How to detect occluded crosswalks in overview images? Comparing three methods in a heavily occluded area by Yuanyuan Zhang, Joseph Luttrell, IV, Chaoyang Zhang

“…While automated methods based on computer vision have been explored to detect crosswalks from aerial images, a major obstacle to their application is the handling of candidate crosswalks occluded by objects or shadows in the aerial imagery. …”
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Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2 by Xingyu Zhang, Hairong Wang, Guan Yu, Wenbin Zhang

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THE DEVELOPMENT OF INTELLIGENT MANAGEMENT USING CLOUDE TECHNOLOGIES by U. A. Vishniakou

“…If currently there is no silicon realization of HI memory and its processing, the elements of such realization may be executed with use of clouding technologies. …”
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Tseng-Type Algorithms for the Split Variational Inclusion by Li-Jun Zhu, Tzu-Chien Yin

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Applications of Artificial Intelligence in Food Industry by Heera Jayan, Weiqing Min, Zhiming Guo

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A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures by Diego Gabriel Soares Pivoto, Tiberio Tavares Rezende, Michelle Soares Pereira Facina, Rodrigo Moreira, Flavio de Oliveira Silva, Kleber Vieira Cardoso, Sand Luz Correa, Antonia Vanessa Dias Araujo, Rogerio Sousa E. Silva, Heitor Scalco Neto, Gustavo Rodrigues de Lima Tejerina, Antonio Marcos Alberti

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Technology-based challenges of informal clinical communication in an Australian tertiary referral hospital: a survey-based assessment of user perspectives by Graeme K Hart, Nicole Hosking, Lorelle Martin, Julia Todd

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Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications by Sodiq Abiodun Kareem, Makinde Akindeji Ibrahim, Justus Uchenna Anaele, Olajesu Favor Olanrewaju, Emmanuel Omosegunfunmi Aikulola, Michael Oluwatosin Bodunrin

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RSNet: Compact-Align Detection Head Embedded Lightweight Network for Small Object Detection in Remote Sensing by Qing Dong, Tianxin Han, Gang Wu, Baiyou Qiao, Lina Sun

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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…The resulting image undergoes a diffusion process utilizing a hyperbolic tangent tent map. The Kronecker XOR product operation is then applied to individual pixels to produce a secure image followed by additional diffusion with keys from the hyperbolic tangent tent map to achieve the final encrypted image. …”
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An Application of SEMAR IoT Application Server Platform to Drone-Based Wall Inspection System Using AI Model by Yohanes Yohanie Fridelin Panduman, Radhiatul Husna, Noprianto, Nobuo Funabiki, Shunya Sakamaki, Sritrusta Sukaridhoto, Yan Watequlis Syaifudin, Alfiandi Aulia Rahmadani

“…We have developed a ready-made server with rich built-in functions to collect, process, display, analyze, and store data from various IoT devices, the <i>SEMAR (Smart Environmental Monitoring and Analytics in Real-Time)</i> IoT application server platform, in which various AI techniques have been implemented to enhance its capabilities. …”
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Multi-Modal AI for Multi-Label Retinal Disease Prediction Using OCT and Fundus Images: A Hybrid Approach by Amina Zedadra, Mahmoud Yassine Salah-Salah, Ouarda Zedadra, Antonio Guerrieri

“…The proposed framework integrates a Convolutional Neural Network (CNN) for image-based feature extraction, a Graph Neural Network (GNN) to model complex relationships among clinical risk factors, and a Large Language Model (LLM) to process patient medical reports. By leveraging diverse data sources, VisionTrack improves prediction accuracy and offers a more comprehensive assessment of retinal health. …”
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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

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Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model by Aditya Pal, Hari Mohan Rai, Mohamed Ben Haj Frej, Abdul Razaque

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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…However, deep learning object detection has a strong dependence on annotated datasets, and there are problems such as poor model interpretability and computational complexity. How to improve the accuracy, model adaptability, and computational efficiency of mine object detection is an urgent research topic in the field of mining artificial intelligence. …”
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A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

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Cross-sectoral synergy governance programme for antimicrobial resistance control in China using a ‘One Health’ approach: study protocol for a mixed-methods study by Qiang Sun, Xiaolin Wei, Jia Yin, Ding Yang, Zhixin Fan, Zhibin Zhang

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Decomposing the effect of normal aging and Alzheimer’s disease in brain morphological changes via learned aging templates by Jingru Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno

“…These changes are the combination of two major biological processes: normal aging and AD pathology. Investigating normal aging and residual morphological changes separately can increase our understanding of the disease. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…Tissue heterogeneity complicates the delivery process, requiring the extensive optimization of pulsing protocols currently empirically optimized. …”
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