Deep Ensemble Learning With Pruning for DDoS Attack Detection in IoT Networks by Makhduma F. Saiyedand, Irfan Al-Anbagi

“…Furthermore, the DEEPShield system achieves this performance with reduced memory and processing requirements, underscoring its adaptability for edge computing scenarios.…”
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Deep Learning-Enhanced Spectroscopic Technologies for Food Quality Assessment: Convergence and Emerging Frontiers by Zhichen Lun, Xiaohong Wu, Jiajun Dong, Bin Wu

“…As a critical branch of AI, deep learning synergizes with spectroscopic technologies to enhance spectral data processing accuracy, enable real-time decision making, and address challenges from complex matrices and spectral noise. …”
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On the road to the metaverse: Point cloud video streaming: Perspectives and enablers by Patrick Enenche, Dong Ho Kim, Dongho You

“…These enablers—particularly when combined with DPDK’s capabilities in efficient data packet processing—have the potential to optimize resource allocation, strengthen reliability, reduce latency, and improve the sustainability of point cloud video streaming. …”
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Deep learning techniques for speech emotion recognition: A review by Silviana Widya Lestari, Saliyah Kahar, Trismayanti Dwi

“…This advancement has significant implications for various applications, including human computer interaction, affective computing, call center analytics, psychological research, and clinical diagnosis.…”
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Machine Learning Model for Hepatitis C Diagnosis Customized to Each Patient by Leran Chen, Ping Ji, Yongsheng Ma

“…The proposed approach to solving a problem in the paper is from three perspectives (1) targeted data processing, (2) model structure design: Passing in patient-related information into the model, and (3) hyperparameter tailored optimization. …”
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Canopy Temperature Estimation Using Gene Expression Programming Models and Artificial Neural Networks by Mehri Saeidinia, AmirHameh Haghiabi

“…Simple approaches such as soft computing can be a good tool for this purpose because there has been no documented research in this field. …”
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Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges by Gerald K Ijemaru, Kenneth Li-Minn Ang, Jasmine KP Seng

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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…The well-known classification algorithms are focused on the post-processing of hydroacoustic information, have high computational complexity and cannot be implemented in devices with limited computing resources. …”
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Dependence of energy-speed characteristics of pneumatic drive on initial parameters of additional volume under counterpressure braking by Andrey N. Sirotenko, Svetlana A. Partko, Bakir Ala Saed

“…Materials and Methods. A computing two-factor experiment is planned and conducted. …”
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Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry by Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui

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Demographic bias mitigation at test-time using uncertainty estimation and human–machine partnership by Anoop Krishnan Upendran Nair, Ajita Rattani

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Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…It has been established that control information in the form of forecast estimates can be used in image processing in probe microscopy to detect and partially eliminate disturbances. …”
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A Novel Two-Level Protection Scheme against Hardware Trojans on a Reconfigurable CNN Accelerator by Zichu Liu, Jia Hou, Jianfei Wang, Chen Yang

“…Furthermore, this scheme can prevent hardware Trojans from triggering whose trigger signal is derived from a processing element (PE). Notably, the proposed scheme is implemented and validated on a Xilinx Zynq XC7Z100 platform.…”
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AI-Driven Global Disaster Intelligence from News Media by Fahim Sufi, Musleh Alsulami

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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques by Rabita Hasan, Sheikh Md. Rabiul Islam

“…Classifying emotions based on EEG signals is really important for enhancing our interactions with computers, monitoring mental health and creating applications in affective computing field. …”
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Control measuring and information system of the experimental stand by A. N. Tsvetkov, V. Yu. Kornilov, A. R. Safin, A. G. Logacheva, T. I. Petrov, N. E. Kuvshinov

“…Such studies are impossible without the development of specialized stands with test automation systems. Automation of processes involves the organization of measuring channels as part of a stand using analog-to-digital conversion (ADC), digital-to-analog conversion (DAC), digital-todigital conversion (DDC) and the development of a hardware-software complex (HSC) based on high-speed computing devices. …”
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Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review by Asmaa Alayed

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Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits by Bo Nørregaard Jørgensen, Saraswathy Shamini Gunasekaran, Zheng Grace Ma

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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

“…Additionally, we discuss post-processing methodologies aimed at refining prediction accuracy, considerations for real-time hardware implementation to facilitate practical application, and emerging trends such as explainable artificial intelligence (XAI) to enhance the interpretability of AI-driven decisions, federated learning to enable collaborative model development across institutions, and neuromorphic computing inspired by the brain’s architecture. …”
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Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization by Jiyang Yu, Hangjun Che, Man-Fai Leung, Cheng Liu, Wenhui Wu, Zheng Yan

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