Learning Analytics in a Non-Linear Virtual Course by Jhon Mercado, Carlos Mendoza-Cardenas, Luis Fletscher, Natalia Gaviria-Gomez

“…This study proposes a method for applying learning analytics to non-linear, self-paced MOOC-style courses, addressing early performance prediction and online learning pattern detection. …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

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Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques by Vassilis S. Kodogiannis, Abeer Alshejari

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MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images by Huinan Guo, Congying Sun, Jing Zhang, Wuxia Zhang, Nengshuang Zhang

“…To overcome the limitations of existing fusion methods in terms of complexity and insufficient information utilization, we innovatively propose a Cosine Similarity-based Image Feature Fusion (CSIFF) module and integrate it into a dual-branch YOLOv8 network, constructing a lightweight and efficient target detection network called Multi-Modality YOLO Fusion Network (MMYFNet). …”
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Analytical Methods for Atmospheric Carbonyl Compounds: A Review by Xiaoshuai Gao, Xin Zhang, Yan Nie, Jiemeng Bao, Junling Li, Rui Gao, Yunfeng Li, Wei Wei, Xiaoyu Yan, Yongxin Yan, Hong Li

“…Atmospheric carbonyl compounds have significant impacts on the atmospheric environment and human health, making the selection of appropriate analytical techniques crucial for accurately detecting these compounds in specific environments. …”
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Research on defect perception model of distribution network based on big data analysis and waveform matching algorithm by LIN Kaifeng, LI Yiming, ZHANG Bo, YANG Changyu, ZHU Zeting, YANG Zhenda

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Investigation of Features of Mass-Fragmentation of Some N-(N,N-diethylacetamidino)-O-alkylfluorophosphates and Related Alkylfluorophosphonates and their Detection by Liquid Chro... by A. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, V. A. Yashkir

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EffRes-DrowsyNet: A Novel Hybrid Deep Learning Model Combining EfficientNetB0 and ResNet50 for Driver Drowsiness Detection by Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, Nayef A. M. Alduais, Khattab M. Ali Alheeti, Nawar Alaa Hussein Al-Sammak

“…The model is designed to detect early signs of driver fatigue through advanced video-based analytics by leveraging both computational scalability and deep feature learning. …”
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Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space by Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden

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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

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Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation by Lemin Shi, Ping Gong, Mingye Li, Dianxin Song, Hao Zhang, Zhe Wang, Xin Feng

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Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals by Hao Wu, Yubo Jiao, Chaozhe Jiang, Tong Wang, Jiangbo Yu

“…With feature fusion, even short-term time windows can encapsulate sufficient information for effective fatigue detection. …”
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Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…In particular, one of this work features is the limited access of AI to regional sites. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Current anomaly detection methods in healthcare systems, such as artificial intelligence and big data analytics-intracerebral hemorrhage (AIBDA-ICH) and parallel conformer neural network (PCNN), face several challenges, including high resource consumption, inefficient feature selection, and an inability to handle temporal data effectively for real-time monitoring. …”
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Structural investigations of Yuli Geothermal field in Nigeria using gravity and magnetic data-set by Mukaila Abdullahi, Yusufu Abubakar Sanusi, Ibrahim Nihyel Tashiwa

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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models by J. D. Dorathi Jayaseeli, J Briskilal, C. Fancy, V. Vaitheeshwaran, R. S. M. Lakshmi Patibandla, Khasim Syed, Anil Kumar Swain

“…Computer-aided medicinal analytical methods have gained massive popularity due to their efficiency and effectiveness. …”
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SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking by Mahmoud Mousa Hamad, Gopichandh Danala, Wolfgang Jentner, David Ebert

“…However, this unprecedented growth has led to the widespread dissemination of misinformation—deliberately or inadvertently false content that can trigger dangerous societal ramifications. Visual analytics combines advanced data analytics and interactive visualizations to explore data and mine insights. …”
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Recent advances in high-throughput green analytical testing technologies for food inspection by Yingxin Sun, Yi Sun, Jilei Zhao, Huiru Xie, Qianyi Yang, Zi Long, Weiyang Tang, Chong Duan

“…We also discussed the background and key features of HT-GATTs, emphasizing their advantages and limitations, particularly in terms of solvent usage and the selection of an appropriate detection platform to achieve high-throughput and rapid testing. …”
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Microbiological Contamination of Food Raw Materials and Ready-To-Eat Foods: Analytical Review by Andrei S. Khishov, Tatiana V. Balagula, Olga I. Lavrukhina, Aleksey V. Tretyakov, Olga E. Ivanova, Elizaveta S. Kozeicheva

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Histological Features Detected for Separation of the Edible Leaves of <i>Allium ursinum</i> L. from the Poisonous Leaves of <i>Convallaria majalis</i> L. and <i>Colchicum autumnale... by Márta M-Hamvas, Angéla Tótik, Csongor Freytag, Attila Gáspár, Amina Nouar, Tamás Garda, Csaba Máthé

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