Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Conclusion All these enhancements constitute a major step towards improving the IoT healthcare data processing chain, thereby providing a trusted and accurate system for real-time health monitoring and anomaly detection. …”
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Mind the gap: Sustainable management of the surging plastic waste in the post-COVID-19 pandemic by Minghai Zhu, Qing Huang

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Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing by Xiting Peng, Yandi Zhang, Xiaoyu Zhang, Chaofeng Zhang, Wei Yang

“…The task-offloading problem is modeled as a Markov Decision Process, and an improved twin-delayed deep deterministic policy gradient algorithm, LT-TD3, is introduced to enhance the decision-making process. …”
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Multistage Threshold Segmentation Method Based on Improved Electric Eel Foraging Optimization by Yunlong Hu, Liangkuan Zhu, Hongyang Zhao

“…Multi-threshold segmentation of color images is a critical component of modern image processing. However, as the number of thresholds increases, traditional multi-threshold image segmentation methods face challenges such as low accuracy and slow convergence speed. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…Additionally, corn (Zea mays) grain processing companies evaluate the quality of kernels to determine the price of these cultivars. …”
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A comprehensive texture segmentation framework for segmentation of capillary non-perfusion regions in fundus fluorescein angiograms. by Yalin Zheng, Man Ting Kwong, Ian J C Maccormick, Nicholas A V Beare, Simon P Harding

“…This framework comprises three major steps: pre-processing, unsupervised total variation texture segmentation, and supervised segmentation. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…Therefore, it is recommended to use and investigate nonlinear signal processing methods in future studies for the detection of alcoholic EEG.…”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…An attention mechanism was also included to boost the classification process by focusing on key temporal segments. …”
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Application of an improved ant colony optimization algorithm of hybrid strategies using scheduling for patient management in hospitals by Md. Limonur Rahman Lingkon, Md. Sazol Ahmmed

“…To minimize the patient's overall hospital processing time, this algorithm was specifically employed with a better level of efficiency to create appropriate scheduling in the hospital.…”
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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…Additionally, the neck component is enhanced by replacing the BiFPN (Bi-directional Feature Pyramid Network) with the AFPN (Asymptotic Feature Pyramid Network), and the EMA module is integrated into the three C2F modules to boost multi-scale feature fusion and model stability. …”
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WireGuard-AES: Hardware based encryption to WireGuard for VPN gateways by M.F. Yuce, O. Keskin, E. Yerlikaya, M.Y. Akmaz, A. Kirca, D. Yiltas-Kaplan, M.A. Erturk, Z. Gurkas-Aydin, Ö.C. Turna, M.T. Buyukakkaslar, Ş. Durukan-Odabaşı, M.A. Aydin

“…This study introduces a novel WireGuard implementation using Advanced Encryption Standard (AES) encryption, leveraging hardware support to improve performance. Kernel-based AES boosts throughput by 11%, reduces retransmissions by 5.5%, and lowers central processing unit (CPU) usage by at least 2% (with 95% confidence interval). …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems by Dmitrii Popov, Egor Terentev, Danil Serenko, Ilya Sochenkov, Igor Buyanov

“…The decision-making process to rule R&D relies on information related to current trends in particular research areas. …”
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The Application Potential and Advance of Mesenchymal Stem Cell-Derived Exosomes in Myocardial Infarction by Xianyun Wang, Yida Tang, Zhao Liu, Yajuan Yin, Quanhai Li, Gang Liu, Baoyong Yan

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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

“…Therefore, this paper proposes an active IoV based DL framework, emphasizing the feasibility of enhancing data processing techniques and algorithmic improvements to boost model accuracy and generalization ability, and highlighting the potential of integrating edge and cloud computing to support real-time data analysis and decision-making. …”
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Cross-diffusion effects of viscous heating hydromagnetic Casson fluid flow in permeable vertical media with radiation and heat loss by B. Prabhakar Reddy, MD. Shamshuddin, S.O. Salawu, M. Paul Matao

“…The mass gradient is boosted with the Soret number, and the chemical reaction exposed the opposite trend. …”
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Quantized convolutional neural networks: a hardware perspective by Li Zhang, Olga Krestinskaya, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama

“…With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with classic machine learning techniques. …”
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Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches by Maha Al-Yahya, Hend Al-Khalifa, Heyam Al-Baity, Duaa AlSaeed, Amr Essam

“…However, most existing approaches do not consider recent advances in natural language processing, i.e., the use of neural networks and transformers. …”
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Enhancing counterfactual detection in multilingual contexts using a few shot clue phrase approach by Lekshmi Kalinathan, Karthik Raja Anandan, Jagadish Ravichandran, K. Devi, S. Benila, Abithkumar Ravikumar

“…The incorporation of clue-phrases during training not only addresses the issue of limited data but also significantly boosts the model’s capability in accurately identifying counterfactual statements, thereby offering a more effective solution in this challenging area of natural language processing.…”
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Empowering Rural Farming: Agrovoltaic Applications for Sustainable Agriculture by Manish Kumar Singla, Jyoti Gupta, Anupma Gupta, Murodbek Safaraliev, Hamed Zeinoddini‐Meymand, Ramesh Kumar

“…This concept has gained immense popularity in recent times owing to its ability to boost income per unit of land area significantly. …”
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