MAD-RAPPEL: Mobility Aware Data Replacement And Prefetching Policy Enrooted LBS by Ajay K. Gupta, Udai Shanker

Get full text

Fuzzy Rough Set Models Based on Fuzzy Similarity Relation and Information Granularity in Multi-Source Mixed Information Systems by Pengfei Zhang, Yuxin Zhao, Dexian Wang, Yujie Zhang, Zheng Yu

“…As a pivotal research method in the field of granular computing (GrC), fuzzy rough sets (FRSs) have garnered significant attention due to their successful overcoming of the limitations of traditional rough sets in handling continuous data. …”
Get full text

Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Robust and efficient contactless human–machine interaction is critical for integrated sensor systems in clinical settings, demanding low-power solutions adaptable to edge computing platforms. This paper presents a real-time hand gesture recognition system using a low-power Frequency-Modulated Continuous Wave (FMCW) radar sensor, featuring a novel Multiple Feature Fusion (MFF) framework optimized for deployment on edge devices. …”
Get full text

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…In both frameworks, we design a knowledge-based reward to facilitate effective DRL and propose a model-based stochastic policy to tackle the mixed discrete-continuous actions and large action spaces. To reduce the computational complexities of policy learning and execution, we introduce a segmented actor-critic architecture for the single-agent DRL and a distributed actor-critic architecture for the multi-agent DRL. …”
Get full text

Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: A paradigm shift in cybersecurity assessment by Semi Yulianto, Benfano Soewito, Ford Lumban Gaol, Aditya Kurniawan

Get full text

MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

Get full text

A fast and lightweight implementation of the Gaussian puff model for near-field atmospheric transport of trace gasses by Meng Jia, Ryker Fish, William S. Daniels, Brennan Sprinkle, Dorit Hammerling

Get full text

Perceived competency in complex thinking skills among university community members in Pakistan: insights across disciplines by José Carlos Vázquez-Parra, Rasikh Tariq, Isolda Margarita Castillo-Martínez, Fawad Naseer

Get full text

Identification and quantification of muscular cocontraction for ankle rehabilitation through variational mode decomposition in surface electromyography by Sania Yasmeen, Asim Waris, Faisal Amin, Javaid Iqbal, Syed Omer Gilani, Muhammad Jawad Khan, Fawwaz Hazzazi, Ahmed Imran, Umer Hameed Shah, Muhammad Adeel Ijaz

Get full text

Evaluating QoS in Dynamic Virtual Machine Migration: A Multi-Class Queuing Model for Edge-Cloud Systems by Anna Kushchazli, Kseniia Leonteva, Irina Kochetkova, Abdukodir Khakimov

“…The efficient migration of virtual machines (VMs) is critical for optimizing resource management, ensuring service continuity, and enhancing resiliency in cloud and edge computing environments, particularly as 6G networks demand higher reliability and lower latency. …”
Get full text

Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…Objective: The chest computed tomography severity score (CT-SS) is significantly associated with the severity of the disease and subsequently intensive care unit (ICU) admission in coronavirus disease-19 (COVID-19) patients. …”
Get full text

Robotic Assistance is Associated With No Intraoperative Fluoroscopy or Radiation Exposure During Direct Anterior Total Hip Arthroplasty by Sean Sequeira, MD, Alan Brett, PhD, Joseph Nessler, MD, Benjamin Frye, MD, Michael A. Mont, MD

“…Background: As more total hip arthroplasty (THA) procedures continue to be performed and concomitant intraoperative fluoroscopic utilization continues to increase, it is important for surgeons to critically analyze this practice during their procedures. …”
Get full text

Ball Bearing Fault Diagnosis Based on Hybrid Adversarial Learning by Xiaofeng Bai, Qazi Mazhar Ul Haq, Aftab Alam Khan, Chaohui Li, Hind Alsharif, Muhammad Shahid Anwar, Chengwei Li

Get full text

Data-driven approach for identifying the factors related to debt collector performance by Keerthana Sivamayilvelan, Elakkiya Rajasekar, Santhi Balachandran, Ketan Kotecha, Subramaniyaswamy Vairavasundaram

Get full text

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

Get full text

Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare by Kaidong Wang, Bing Tan, Xinfei Wang, Shicheng Qiu, Qiuping Zhang, Shaolei Wang, Ying‐Tzu Yen, Nan Jing, Changming Liu, Xuxu Chen, Shichang Liu, Yan Yu

“…Improved data interoperability and seamless connectivity could enable real‐time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert‐level diagnosis. …”
Get full text

SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering by Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng

“…Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency. …”
Get full text

Mesenchymal Cystic Hamartoma of the Lung by A. N. Fedotov, I. Е. Tuyrin

Get full text

Effectiveness of endodontic retreatment using WaveOne Primary files in reciprocating and rotary motions by Patricia Marton Costa, Renata Maíra de Souza Leal, Guilherme Hiroshi Yamanari, Bruno Cavalini Cavenago, Marco Antônio Húngaro Duarte

“…The specimens were scanned before and after the retreatment procedure with micro-computed tomography to calculate the percentage and volume (mm3) of the residual filling material. …”
Get full text

Evaluating model and simulation analyzing for P2P Churn by YANG Dong, DONG Ping, ZHANG Hong-ke

Get full text