Detecting malicious code variants using convolutional neural network (CNN) with transfer learning by Nazish Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan, Farman Ali, Daehan Kwak

“…Malware presents a significant threat to computer networks and devices that lack robust defense mechanisms, despite the widespread use of anti-malware solutions. …”
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Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

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PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units by Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya

“…An accurate and automated detection system is essential for effective diagnosis and management. …”
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AI-Enhanced Threat Intelligence in Remote Patient Monitoring Systems: A Survey on Recent Advances, Challenges and Future Research Directions by Jolly Trivedi, Mohammad Tahir, Jouni Isoaho

“…Furthermore, the benefits and challenges of deploying AI-driven threat intelligence, cross-platform compatibility, and the need for explainable AI to improve trust in automatically made decisions are presented. Moreover, this review highlights research gaps, including the necessity of comprehensive end-to-end architectures for maintaining security and privacy in RPM systems. …”
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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

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Robust fault detection in electrochemical energy storage systems under label noise: applications to lithium-ion batteries and transformer windings by Tao He, Wei Liu, Xin Wu, Yu Wei

“…These results highlight the potential of the proposed method to enhance the reliability of fault diagnosis in electrochemical energy storage systems. Future work will explore adaptive strategies to automatically optimize the rectification strength without requiring prior knowledge of the noise rate, and extend the framework to multi-sensor and multi-modal monitoring scenarios.…”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…By detecting and addressing faults early, systems can maintain optimal performance levels. Machine Learning (ML) in Solar Photovoltaic (PV) systems refers to the application of algorithms and statistical models that enable computers to perform specific tasks without using explicit instructions, relying instead on patterns and inference. …”
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Instance segmentation and automated pig posture recognition for smart health management by Md Nasim Reza, Md Sazzadul Kabir, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…The objective of this study was to recognize and detect pig posture using a masked-based instance segmentation for automated pig monitoring in a closed pig farm environment. Two automatic video acquisition systems were installed from the top and side views. …”
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Integral reinforcement learning-based event-triggered H∞ control algorithm for affine nonlinear systems with asymmetric input saturation and external disturbances by Luy Nguyen Tan, Dien Nguyen Duc

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Model-Free Predictive Control and Modified Multi-Phase Shift PWM Technique for a Semi-Dynamic Wireless EV Charging System by J. Rahulkumar, R Narayanamoorthi, Majed Alsafyani, Waleed Mohammed Abdelfattah

“…The Model-Free Predictive Control scheme addresses the dynamic variations in the system power transfer, by automatic resonant frequency optimization control technique. …”
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APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION by Sudeep Varshney, Aditi Chandra, Pushpendra Kumar Rajput, Sunil Kumar, Gunjan Varshney

“…The device based on machine learning is used to develop and evaluate a ‘Knowledge System’ that automatically extracts, synthesizes, and interprets findings from Brain Computer Interface (BCI) evaluation reports to generate new insights to conduct change and further develop forecast of intervention viability and permits clients to effectively and productively examine the framework to find solutions. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

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A High-Efficiency Deep-Learning-Based Antivibration Hammer Defect Detection Model for Energy-Efficient Transmission Line Inspection Systems by Fangrong Zhou, Gang Wen, Guochao Qian, Yutang Ma, Hao Pan, Jing Liu, Jiaying Li

“…It needs a machine interpretation system to automatically detect numerous inspection images. …”
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Hybrid Vision System for Enhanced Situational Awareness in Unmanned Surface Vehicles: Decision-Level Camera-LiDAR Fusion With Supervised and Unsupervised Approaches by Yousef Abd Alhattab, Hasan F. M. Zaki, Abd Halim Bin Embong, Zulkifli Bin Zainal Abidin, Ahmed Rimaz Faizabadi, Ahmad Imran Ibrahim

“…This is important to ensure effective collision avoidance in regions without reliable Global Positioning System (GPS) and Automatic Identification System (AIS), while maintaining low computational requirements and real-time performance. …”
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A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System by YUAN Chao, PAN Wenbo, CHEN Zhiwei, HUANG Wenyu, LI Yuanzhengyu, YANG Zhenyu

“…The experimental results demonstrated the centimeter-level vehicle positioning accuracy of the proposed system in real-time automatic creation of roadside pole-shaped object inventories, boasting an average positioning error within 3 cm.…”
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Attention modules in convolutional neural networks for small object recognition by D.I. Krasnov

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A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning by Forrest Corcoran, Christopher E. Parrish, Lori A. Magruder, J. P. Swinski

“…This method, which leverages the cloud computing systems Google Earth Engine and NASA's SlideRule Earth, is ideally suited for “big data” projects with ICESat‐2 data products. …”
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Game Interactive Learning: A New Paradigm towards Intelligent Decision-Making by Junliang Xing, Zhe Wu, Zhaoke Yu, Renye Yan, Zhipeng Ji, Pin Tao, Yuanchun Shi

“…Decision-making plays an essential role in various real-world systems like automatic driving, traffic dispatching, information system management, and emergency command and control. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…With model optimization and lightweight as the starting point, the efficient network architecture or model compression technology is adopted to reduce computational complexity and model size, improve model processing speed and adapt to mobile automatic picking equipment. …”
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Moving Forward in Effective Deployment of the Smart Readiness Indicator and the ISO 52120 Standard to Improve Energy Performance with Building Automation and Control Systems by Gabriela Walczyk, Andrzej Ożadowicz

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