Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

Get full text

Systematic Literature Review of Barriers and Enablers to Implementing Food Informatics Technologies: Unlocking Agri-Food Chain Innovation by William Alejandro Orjuela-Garzon, Angélica Sandoval-Aldana, Jonh Jairo Mendez-Arteaga

Get full text

A 3.1-10.6 GHz HEMT Distributed Amplifier for Ultra-Wideband Application by Sepideh Ebrahimi, Alishir Moradikordalivand

Get full text

RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

“…Unlike existing methods that rely on post-processing, RivAIr is purpose-built for real-time field deployment in data-scarce or emergency scenarios.RivAIr integrates YOLOv8 with an optimized Farneback dense optical flow algorithm focused on water bodies, improving motion estimation accuracy while reducing runtime for real-time UAV processing. …”
Get full text

Enhancing augmented reality with machine learning for hands-on origami training by Mikołaj Łysakowski, Jakub Gapsa, Chenxu Lyu, Thomas Bohné, Sławomir Konrad Tadeja, Piotr Skrzypczyński, Piotr Skrzypczyński

Get full text

The Impact of an Automation System Built with Jenkins on the Efficiency of Container-Based System Deployment by Giwoo Hyun, Jiwon Oak, Donghoon Kim, Kunwoo Kim

Get full text

Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications by Zheyu Yang, Zhe Zhang, Shida Huo, Fanying Meng, Yue Wang, Yuexuan Ma, Baiyan Liu, Fanyi Meng, Yuan Xie, Enxiu Wu

“…ABSTRACT The von Neumann architecture is encountering challenges, including the “memory wall” and “power wall” due to the separation of memory and central processing units, which imposes a major hurdle on today's massive data processing. …”
Get full text

Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…By integrating Internet of Things (IoT) devices with edge computing, smart farms significantly improve real-time data processing and decision-making capabilities, thereby enhancing agricultural productivity. …”
Get full text

Autonomous and sustainable machine learning: pursuing new horizons of intelligent systems by Witold Pedrycz

“…Among others, this translates to forming sound answers to the following crucial questions emerging within the design process: How much confidence could be associated with the result? …”
Get full text

Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

“…Task Scheduling is a crucial challenge in cloud computing as diversified tasks come rapidly onto cloud console dynamically from heterogeneous resources which consists of different task lengths, processing capacities. …”
Get full text

An effective robot selection and recharge scheduling approach for improving robotic networks performance by Shimaa E. ElSayyad, Ahmed I. Saleh, Hesham A. Ali, M. S. Saraya, Asmaa H. Rabie, Mohamed M. Abdelsalam

Get full text

AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines [version 1; peer review: 2 approved] by Sean Davis, Marcel Ramos, Michael C. Schatz, Kai Gravel-Pucillo, Levi Waldron, Sehyun Oh, Martin Morgan, Vincent Carey

“…We demonstrate the utility of AnVILWorkflow for three use cases: bulk RNA-seq analysis with Salmon, metagenomics analysis with bioBakery, and digital pathology image processing with PathML. The key features of AnVILWorkflow include user-friendly browsing of available data and workflows, seamless integration of R and non-R tools within a reproducible analysis pipeline, and accessibility to scalable computing resources without direct management overhead. …”
Get full text

Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…This approach differs from existing work by using contextual relevance to guide the dynamic selection of Data Reduction (DR) algorithms, predicting results rather than computing them, which significantly reduces computational overhead. …”
Get full text

Robust Speech Recognition Based on Mixed Histogram Transform and Asymmetric Noise Suppression by Hassan Farsi, Samana Kuhimoghadam

Get full text

Performance analysis and testing of personal influence algorithm in online social networks by Yong QUAN, Yan JIA, Liang ZHANG, Zheng ZHU, Bin ZHOU, Binxing FANG

“…Social influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,extensive experiments were conducted on a large-scale real dataset to test the performance of these parallel methods in a distributed environment.The results demonstrate that the computational efficiency of the personal influence algorithm can be improved significantly in massive data sets by virtue of existing big data processing framework,and provide an empirical reference for the future research and optimization of the algorithm as well.…”
Get full text

Joint optimization algorithm for task offloading resource allocation based on edge-end collaboration by Liuqing WU, Xiaorong ZHU

Get full text

Spin-controlled photonics via temporal anisotropy by Rizza Carlo, Castaldi Giuseppe, Galdi Vincenzo

“…We demonstrate these capabilities through examples of spin-dependent analog computing and spin–orbit interaction effects for vortex generation. …”
Get full text

CSRouter:router architecture for service extensibility by Gao-feng LV, Zhi-gang SUN, Yu-xian LIN, Yi-jiao CHEN, Tao LI

“…The development of network applications ,network end-end“channel”for data transmission impeded applications,network“platform”integrating computing and storing resource with routers is a considerable efficient means to enhance the efficiency of the network transport.System area network of routers based on high performance unified switching technology is introduced to connect forwarding elements,computing elements and storing elements.The prototype were designed and implemented based on the NetMagic platform of network innovation and the IEF switch system.The testing of packets caching proves that system area network provides high performance and high reliability network bandwidths between forwarding elements and computing elements,and the novel router architecture based on system area network could utilize additional computing and storing resources to process IP packet in depth to accelerate network applications.…”
Get full text

Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

“…The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. …”
Get full text

An Automatic Welding Seam Extraction Method for Butt Workpieces with Varying Seam Widths Based on DLP Vision by Linbo Hao, Huaming Wang, Zeyu Sun, Yiming Wang, Bin Li, Shaohua Jiang, Zhiqiang Liu

Get full text