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2 posts analyzed·Updated 1/9/2026

Key Highlights

  • A multicast content distribution method over quantum key distribution (QKD) networks improves delivery latency and resilience to link bandwidth limitations through mesh network design, while reducing key consumption. 1 post

  • QKD ensures information-theoretic security but faces scalability challenges due to limited key generation rates in content delivery. 1 post

  • A deep reinforcement learning-driven robust adaptive control framework enhances efficiency and dynamic responsiveness in Light Electric Vehicles (LEVs) by coupling a superconducting magnetic energy storage (SMES)-assisted hybrid energy storage system with a synchronous reluctance motor drive. 1 post

Main Topics (2)

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Secure and Efficient Multicast Content Distribution

IEEE Access

Secure and Efficient Multicast Content Distribution Masahide Sasaki; Kazuhisa Matsuzono; Masaru Fukushima; Mikio Fujiwara https://doi.org/10.1109/ACCESS.2025.3649383 Volume 14 This paper proposes a multicast content distribution method over quantum key distribution (QKD) networks that improves del

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Deep Reinforcement Learning-Driven Robust Adaptive Control for Hybrid Energy Storage in SynRM-Based Light Electric Vehicle Drives

IEEE Access

Deep Reinforcement Learning-Driven Robust Adaptive Control for Hybrid Energy Storage in SynRM-Based Light Electric Vehicle Drives Omar Zeb; Atif Rehman; Iftikhar Ahmad; Hammad Iqbal Sherazi; Sayed Osman Madbouly https://doi.org/10.1109/ACCESS.2025.3648165 Volume 14 To advance the efficiency and dy

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A Clinically Validated Multi-Model Fusion Framework Integrating Machine Learning and LSTM Networks for Real-Time Geriatric Frailty Assessment

IEEE Access

A Clinically Validated Multi-Model Fusion Framework Integrating Machine Learning and LSTM Networks for Real-Time Geriatric Frailty Assessment Mukul Kumar; Si-Huei Lee; Yi-An Chien; Eric Hsiao-Kuang Wu; Chun-Chuan Chen; Shih-Ching Yeh https://doi.org/10.1109/ACCESS.2025.3649918 Volume 14 Detecting

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TimeProbe: A Measurement-Based Probabilistic Timing Analysis Tool

IEEE Access

TimeProbe: A Measurement-Based Probabilistic Timing Analysis Tool Veysel H. Sahin https://doi.org/10.1109/ACCESS.2025.3650000 Volume 14 Timing analysis is a crucial aspect of real-time systems, a type of computer system with timing constraints. Before a real-time system is deployed, developers mus

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

IEEE Access

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector Hossein Fami Tafreshi; Emmanuel Papadakis; George Baryannis https://doi.org/10.1109/ACCESS.2025.3647292 Volume 14 Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into

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On Key Substitution Attacks Against Aggregate Signatures and Multi-Signatures

IEEE Access

On Key Substitution Attacks Against Aggregate Signatures and Multi-Signatures Yuuki Fujita; Yusuke Sakai; Kyosuke Yamashita; Goichiro Hanaoka https://doi.org/10.1109/ACCESS.2025.3648155 Volume 14 The most fundamental security requirement for signature schemes is unforgeability, which guarantees th

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Human-LLM Collaboration Framework for Translating Health Instruments

IEEE Access

Human-LLM Collaboration Framework for Translating Health Instruments Hind Bitar; Omaima Almatrafi; Amal Babour; Ohoud Alzamzami; Mayda Alrige; Sarah Alismail https://doi.org/10.1109/ACCESS.2025.3649657 Volume 14 Large language models have revolutionized various sectors, including education and hea

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An Adaptive Multi-Scale Graph and Seasonal Decomposition LSTM Framework for Accurate Wastewater Effluent Forecasting

IEEE Access

An Adaptive Multi-Scale Graph and Seasonal Decomposition LSTM Framework for Accurate Wastewater Effluent Forecasting Yifan Wu; Jiashuo Meng; Yongze Liu; Xiaoyu Zhang https://doi.org/10.1109/ACCESS.2025.3649919 Volume 14 Predicting effluent indicators is crucial for enabling a wastewater treatment

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Enhancing Low-Resource Indian Language Machine Translation Using Large Language Models With Preference Optimization and Hypergeometric-Gamma Reward

IEEE Access

Enhancing Low-Resource Indian Language Machine Translation Using Large Language Models With Preference Optimization and Hypergeometric-Gamma Reward Aarathi Rajagopalan Nair; Deepa Gupta; Biswajit Paul; J. Siva Bhavani https://doi.org/10.1109/ACCESS.2025.3648480 Volume 14 Machine translation has ad

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Resource-Aware Ensemble Framework for DDoS Detection in SDN via Novel Game-Theoretic Feature Selection

IEEE Access

Resource-Aware Ensemble Framework for DDoS Detection in SDN via Novel Game-Theoretic Feature Selection Mohamed Mehdi Trigui; Md Sakibul Islam; Muhammad Dikko Gambo; Mir Suhail Alam; Tarek Helmy https://doi.org/10.1109/ACCESS.2025.3618519 Volume 14 Distributed Denial-of-Service (DDoS) attacks conti

Broadband CMOS-Compatible High-Performance TM-Pass Polarizer Based on Hybrid Plasmonic Ridge Waveguide

IEEE Access

Broadband CMOS-Compatible High-Performance TM-Pass Polarizer Based on Hybrid Plasmonic Ridge Waveguide K. M. Mustafizur Rahman; M. Shah Alam; Md Asiful Islam https://doi.org/10.1109/ACCESS.2025.3649023 Volume 14 We propose and numerically investigate a CMOS-compatible hybrid plasmonic ridge wavegu

Optimized Predictive Technique for Intelligent Classification (OPTIC): A Decision Tree Ensemble Approach for Neurodegenerative Disease Detection via G...

IEEE Access

Optimized Predictive Technique for Intelligent Classification (OPTIC): A Decision Tree Ensemble Approach for Neurodegenerative Disease Detection via Gait Pattern Analysis Diksha Giri; Ranjit Panigrahi; Samrat Singh Bhandari; K. S. Hareesha; Moumita Pramanik; Victor C. Hugo de Albuquerque; Akash Kum

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Front Cover

IEEE Access

Front Cover https://doi.org/10.1109/ACCESS.2025.3649992 Volume 14

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The Influence of Miniaturization of Hydraulic Oil Tank on Degassing and Impurity Removal Function

IEEE Access

The Influence of Miniaturization of Hydraulic Oil Tank on Degassing and Impurity Removal Function Baosheng Wang; Tianxiong Gao; Tianshuo Chen; Liu Yang; Fugang Zhai; Jing Yao; Chao Ai https://doi.org/10.1109/ACCESS.2025.3643390 Volume 14 Impurity deposition and bubble separation are crucial proces

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Auto-Tuning of Speed Controller for PMSM Using Nonlinear Dynamic Inversion Control

IEEE Access

Auto-Tuning of Speed Controller for PMSM Using Nonlinear Dynamic Inversion Control Cheng-Han Lin; Yaow-Ming Chen https://doi.org/10.1109/ACCESS.2025.3648561 Volume 14 In this paper, a feedback control technique using nonlinear dynamic inversion control (NDIC) for the speed control of surface perma

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A Computer-Based Model for Predicting the Outcomes of Organic Reactions With a Fragment-Based Method

IEEE Access

A Computer-Based Model for Predicting the Outcomes of Organic Reactions With a Fragment-Based Method Ahmad F. Klaib; Rawan Alshami; Ahmad Al-Shunnaq; Ghina’a Abu Deiab https://doi.org/10.1109/ACCESS.2025.3646697 Volume 14 Reaction prediction continues to be challenging in the field of organic chem

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Discrete-Event Simulation Framework for Composite Warfare With Modular CFCS Modeling for Naval Combat System

IEEE Access

Discrete-Event Simulation Framework for Composite Warfare With Modular CFCS Modeling for Naval Combat System Chan-Woo Kim; Seong-Hyeon Ju; Kyung-Min Seo https://doi.org/10.1109/ACCESS.2025.3648783 Volume 14 In modern naval warfare, effectively responding to complex threats involving multiple simul

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KRAFT: Keypoint Robust and Adaptive Feature Tracking

IEEE Access

KRAFT: Keypoint Robust and Adaptive Feature Tracking Jaroslav Venjarski; Gregor Rozinaj; Ivan Minárik; Šimon Tibenský https://doi.org/10.1109/ACCESS.2025.3649147 Volume 14 The robust estimation of dense correspondences between images is a cornerstone of computer vision, enabling applications from

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Temperature Behaviors of Boot and Rail During Motion of Urban Rail Vehicle

IEEE Access

Temperature Behaviors of Boot and Rail During Motion of Urban Rail Vehicle Tong Xing; Jianhua Chen; Zhiqiang Yu; Like Pan; Jianxiang Sun; An Jin; Yuehua Cui; Tao Feng; Jingna Liu; Wenxia Yan; Xudong Yi; Zimeng Zhao https://doi.org/10.1109/ACCESS.2025.3649281 Volume 14 When an urban rail vehicle mo

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A Multi-Task Attention-Driven SegNet for Lung Infection Segmentation and Classification From HRCT Images

IEEE Access

A Multi-Task Attention-Driven SegNet for Lung Infection Segmentation and Classification From HRCT Images Upasana Bhattacharjya; Kandarpa Kumar Sarma; Anchita Kakati; Jyoti Prakash Medhi; Geetanjali Barman; Binoy Kumar Choudhury; Dmitrii Kaplun; Alexander Voznesensky https://doi.org/10.1109/ACCESS.2

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Dual Preference Learning for Multi-Agent Reinforcement Learning

IEEE Access

Dual Preference Learning for Multi-Agent Reinforcement Learning Sehyeok Kang; Minu Kim; Jihwan Oh; Se-Young Yun https://doi.org/10.1109/ACCESS.2025.3645778 Volume 14 Designing effective reward functions is fundamental challenging in reinforcement learning, especially in complex multi-agent systems

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Seeing Through the Fake: Explainable AI With Multiple CNNs for Deepfake Detection

IEEE Access

Seeing Through the Fake: Explainable AI With Multiple CNNs for Deepfake Detection Muhammad Aleem; Muhammad Umair; Muhammad Zubair; Rozeena Ibrahim; Muhammad Tahir Naseem; Muhammad Mohsin Raza; Muhammad Nadeem Ali; Byung-Seo Kim https://doi.org/10.1109/ACCESS.2025.3649128 Volume 14 The rapid advanc

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Hybrid Data Storage Architecture: A Novel Design Approach Based on Microservices Architecture

IEEE Access

Hybrid Data Storage Architecture: A Novel Design Approach Based on Microservices Architecture K. Ahaidous; M. Tabaa; H. Hachimi; H. Mouttalib; Mohamed Youssfi https://doi.org/10.1109/ACCESS.2025.3641384 Volume 14 Due to the diverse storage and performance requirements of modern data-driven environ

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Influence of Pin-to-Plane Discharge Modes on the Physicochemical Properties of Single-Pass Flow-Through Plasma-Activated Water and Its Efficacy in Agr...

IEEE Access

Influence of Pin-to-Plane Discharge Modes on the Physicochemical Properties of Single-Pass Flow-Through Plasma-Activated Water and Its Efficacy in Agricultural Applications Phuthidhorn Thana; Pattakorn Buppan; Suthida Theepharaksapan; Surasak Yooyongsatit; Worawalan Sonhom; Kultida Pakdee; Adjariya

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BONDS Protocol: A Blockchain-Based Optimized N-Step N-Party Digital Contract Signing Protocol

IEEE Access

BONDS Protocol: A Blockchain-Based Optimized N-Step N-Party Digital Contract Signing Protocol Rosa Pericàs-Gornals; Macià Mut-Puigserver; M. Magdalena Payeras-Capeallà; Jaume Ramis-Bibiloni; Joan Camps-Tomàs https://doi.org/10.1109/ACCESS.2025.3646774 Volume 14 Electronic contract signing has revo