A Class of Stochastic Nonlinear Delay System with Jumps by Ling Bai, Kai Zhang, Wenju Zhao

Get full text

Nonlinear effects and numerical results in salt transfer problems by Baltabaeva Rano, Djumabaev Kuanishbay, Axmedova Kunduz, Reimova Laura

Get full text

Sobriété numérique et traitement des données massives : vers des stratégies d’innovation plus durables by Robert VISEUR

“…This article examines challenges associated with the sustainability of the digital sector in key sectors such as cloud computing, targeted advertising, online video, cryptocurrencies, and generative artificial intelligence. …”
Get full text

A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…Using this method, all station data are processed every 3 seconds and stored ready for Artificial Intelligence usage with an approximate latency of 150–300 milliseconds, representing up to an 85% reduction in processing delay compared to similar solutions with over 1-second latencies. …”
Get full text

Enhancement Ear-based Biometric System Using a Modified AdaBoost Method by Abdulkareem Merhej Radhi, Subhi Aswad Mohammed

Get full text

Utilization Bound Scheduling Analysis for Nonpreemptive Uniprocessor Architecture Using UML-RT by S. Ewins Pon Pushpa, Manamalli Devasigamani

“…As a technical contribution, success ratio and effective processor utilization are analyzed for our proposed utilization bound algorithms on a uniprocessor architecture modeled using UML-RT.…”
Get full text

Semi-Device-Independent Characterization of Multiphoton Indistinguishability by Giovanni Rodari, Leonardo Novo, Riccardo Albiero, Alessia Suprano, Carlos T. Tavares, Eugenio Caruccio, Francesco Hoch, Taira Giordani, Gonzalo Carvacho, Marco Gardina, Niki Di Giano, Serena Di Giorgio, Giacomo Corrielli, Francesco Ceccarelli, Roberto Osellame, Nicolò Spagnolo, Ernesto F. Galvão, Fabio Sciarrino

“…Multiphoton indistinguishability is a central resource for quantum enhancement in sensing and computation. Developing and certifying large-scale photonic devices requires reliable and accurate characterization of this resource, preferably using methods that are robust against experimental errors. …”
Get full text

instancespace: A Python package for insightful algorithm testing through Instance Space Analysis by Yusuf Berdan Güzel, Kushagra Khare, Nathan Harvey, Kian Dsouza, Dong Hyeog Jang, Junheng Chen, Cheng Ze Lam, Mario Andrés Muñoz

Get full text

Cosmic-ray-induced correlated errors in superconducting qubit array by Xuegang Li, Junhua Wang, Yao-Yao Jiang, Guang-Ming Xue, Xiaoxia Cai, Jun Zhou, Ming Gong, Zhao-Feng Liu, Shuang-Yu Zheng, Deng-Ke Ma, Mo Chen, Wei-Jie Sun, Shuang Yang, Fei Yan, Yi-Rong Jin, S. P. Zhao, Xue-Feng Ding, Hai-Feng Yu

“…We further investigate the dynamical process of QP burst and the impact of QP trapping on correlated errors and particle detection. …”
Get full text

Development of a Test Bench for Fault Diagnosis in the Caution and Warning Panels of the UH-60 Helicopter by Cristian Sáenz-Hernández, Rubén Cuadros, Jorge Rodríguez, Edwin Rativa, Mario Linares-Vásquez, Yezid Donoso, Cristian Lozano

Get full text

YUNet_LLMClaimReport: An Enhanced Automobile Insurance Fraud Detection and Automated Claim Report Generation Using Large Language Models by P. Anand Kumar, S. Sountharrajan

“…The framework runs at 8.3 FPS on NVIDIA Jetson Nano and saves processing time by 60 percent. Weaknesses are single-run measures because of computational limitations and factual inconsistencies in reports (10%). …”
Get full text

Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy by Sonia Zouari, Farman Ali, Atef Masmoudi, Sarah Abu Ghazalah, Wajdi Alghamdi, Faris A. Kateb, Nouf Ibrahim

Get full text

Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study by Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig

Get full text

Assessing left main bifurcation anatomy and haemodynamics as a potential surrogate for disease risk in suspected coronary artery disease without stenosis by R. Gharleghi, M. Zhang, C. Shen, M. Webster, C. Ellis, S. Beier

“…The Left Main coronary bifurcations of 127 patients with suspected coronary artery disease in the absence of significant stenosis were segmented from CTCA images before computing the local haemodynamics. We correlated 11 coronary anatomical characteristics with the normalised lumen area exposed to adverse haemodynamics linked with atherosclerotic processes. …”
Get full text

Optimized disease prediction in healthcare systems using HDBN and CAEN framework by G. Prabaharan, S.M. Udhaya Sankar, V. Anusuya, K. Jaya Deepthi, Rayappan Lotus, R. Sugumar

“…Classification and segmentation play a pivotal role in transforming decision-making processes in healthcare, IoT, and edge computing. However, existing methodologies often struggle with accuracy, precision, and specificity when applied to large, heterogeneous datasets, particularly in minimizing false positives and negatives. …”
Get full text

Thresholds in East Asian marginal seas circulation due to deglacial sea level rise by Xun Gong, Yang Yu, Xuefa Shi, Xiaopei Lin, Guangliang Liu, Zhi Dong, Xuesong Wang, Jiong Zheng, Lester Lembke-Jene, Gerrit Lohmann

Get full text

Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

“…As the computational demands driven by large model technologies continue to grow rapidly, leveraging GPU hardware to expedite parallel training processes has emerged as a commonly-used strategy. …”
Get full text

Printed Optoelectronic Memories Using Gr/WS2 Nanostructured Composite Ink for Retina‐Inspired Vision Persistent Synapses by Jiahui Bai, Qiuyan Wang, Qiaoqiao Zheng, Dong Liu, Hongbing Zhan, Renjing Xu, Jiajie Pei

“…Abstract The rapid advancement of neuromorphic computing and machine vision drives the need for optoelectronic memories that mimic neural and visual systems, integrating optical sensing, data storage, and processing. …”
Get full text

YOLO-SCNet: A Framework for Enhanced Detection of Small Lunar Craters by Wei Zuo, Xingye Gao, Di Wu, Jiaqian Liu, Xingguo Zeng, Chunlai Li

Get full text

Beta-band power is an index of multisensory weighting during self-motion perception by Ben Townsend, Joey K. Legere, Martin v. Mohrenschildt, Judith M. Shedden

Get full text