Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…Specifically, our survey focuses on studies integrating ML, blockchain, and multi-access edge computing (MEC) for low latency, robust, and dynamic security in V2X networks. …”
Get full text

Dissipative quantum Hopfield network: a numerical analysis by Joaquín J Torres, Daniel Manzano

Get full text

Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…This circumstance negatively affects processing time, critical for systems with high load requirements on the computing platform. …”
Get full text

Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach by Ankita Maurya, Rahul Haripriya, Manish Pandey, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…The framework incorporates secure multiparty computation (SMPC) with Shamir’s Secret Sharing to ensure encrypted communication between clients and edge aggregators, preserving data confidentiality throughout the training process. …”
Get full text

Fuzzyfortify: a multi-attribute risk assessment for multi-factor authentication and cloud container orchestration by Mohammad Hafiz Hersyah, Mohammad Hafiz Hersyah, Md. Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi

Get full text

Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting S... by Joonam Kim, Giryeon Kim, Rena Yoshitoshi, Kenichi Tokuda

“…Statistical analysis confirmed that YOLOX achieved a significantly higher throughput (107 vs. 45 FPS, <i>p</i> < 0.01) and superior energy efficiency (0.58 vs. 0.75 J/frame) than YOLOv12, meeting real-time processing requirements for agricultural automation. …”
Get full text

Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The study implemented a modified transformer architecture with hierarchical attention mechanisms, processing data from 100 commercial buildings across three climate zones over three years (2020–2023). …”
Get full text

A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions by Usman Khalil, Mueen-Uddin, Owais Ahmed Malik, Saddam Hussain

“…Hence, lightweight solutions for managing, maintaining, processing, and storing authentication data of IoT-enabled assets are a must. …”
Get full text

Quantum Circuit Synthesis Using Fuzzy-Logic-Assisted Genetic Algorithms by Ishraq Islam, Vinayak Jha, Sneha Thomas, Kieran F. Egan, Alvir Nobel, Serom Kim, Manu Chaudhary, Sunday Ogundele, Dylan Kneidel, Ben Phillips, Manish Singh, Kareem El-Araby, Devon Bontrager, Esam El-Araby

“…Quantum algorithms will likely play a key role in future high-performance-computing (HPC) environments. These algorithms are typically expressed as quantum circuits composed of arbitrary gates or as unitary matrices. …”
Get full text

IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage by Abbas Syed Muhammad Ali, Sikandar Ali, Khan Ziaullah, Moon-Il Joo, Hee-Cheol Kim

“…We further integrate edge computing principles to optimize data processing efficiency and reduce network latency, establishing a decentralized architecture that prioritizes data integrity and confidentiality. …”
Get full text

C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms by Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

“…One solution to address this challenge is near-data processing using ultralow-power computational logic within the cryostat. …”
Get full text

Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications by Yogesh Kumar, Rex A. Cardan, Ho-hsin Chang, Katherine A. Heinzman, Kadir Gultekin, Amy Goss, Andrew McDonald, Donna Murdaugh, Jonathan McConathy, Steven Rothenberg, Andrew D. Smith, John Fiveash, Carlos E. Cardenas

“…<b>Background/Objectives:</b> Medical research institutions are increasingly leveraging artificial intelligence (AI) to enhance the processing and analysis of medical imaging data. However, scaling AI-driven medical image analysis often requires specialized expertise and infrastructure that individual labs may lack. …”
Get full text

Development of Self-Powered Energy-Harvesting Electronic Module and Signal-Processing Framework for Wearable Healthcare Applications by Jegan Rajendran, Nimi Wilson Sukumari, P. Subha Hency Jose, Manikandan Rajendran, Manob Jyoti Saikia

“…Also, it improves temporal requirements for ECG data processing while achieving excellent classification performance at a low computing cost.…”
Get full text

Optimization of Squeeze Casting Process Parameters on AA8011 Based Hmmcs Under NaCl Environment by S. Senthil Kumar, G. Karthikeyan, K. Panneer Selvam

“…The present research computes the impact of process parameters of squeeze casting on AA8011/Si3N4/ZrO2 Hybrid Metal Matrix Composites (HMMCs). …”
Get full text

Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

Get full text

Prediction of degradation in 90° elbow joints of ba35 brass used in potable water pipes through computational fluid dynamics (CFD) simulation by Hayat Bennis Touhaf, Houcine Zniker, Mohammed Khalil El Kouifat, Mounir Bennajah, Bennaceur Ouaki

“…The behavior of water flow, in terms of velocity profile, pressure gradient, and turbulence zones at these elbows, is numerically simulated using the computational fluid dynamics (CFD) method. The simulations, performed with FLUENT software, identify the areas most susceptible to erosion and corrosion, thus contributing to a better understanding of processes such as stress corrosion cracking and cavitation. …”
Get full text

Application of network pharmacology, bioinformatics, computational molecular docking, and experimental validation to study the anticancer effects of oleanolic acid in oral squamous... by Yin Ting, Wang Hao, Zou Yaqin

Get full text

Correlating pore space morphology with numerically computed soil gas diffusion for structured loam and sand, including stochastic 3D microstructure modeling by Benedikt Prifling, Matthias Weber, Maximilian Rötzer, Nadja Ray, Alexander Prechtel, Maxime Phalempin, Steffen Schlüter, Doris Vetterlein, Volker Schmidt

Get full text

A Judging Scheme for Large-Scale Innovative Class Competitions Based on Z-Score Pro Computational Model and BP Neural Network Model by Zhuoting Yu, Hongzhong Deng, Shuaiwen Tang

Get full text

Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

Get full text