Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

Get full text

Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing by Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa

“…This paper investigates the integration of affective computing techniques using biophysical data to advance emotionally aware machines and enhance child–robot interaction (CRI). …”
Get full text

Generative AI in Engineering and Computing Education: A Scoping Review of Empirical Studies and Educational Practices by Jonathan Alvarez Ariza, Milena Benitez Restrepo, Carola Hernandez Hernandez

“…We advocate that current educational practices in engineering and computing with GenAI can indicate to us a roadmap of its potentialities, uses, and risks from the standpoint of both teachers and students, and this could help us to create more reflexive methodologies that enhance the teaching-learning process based on the evidence. …”
Get full text

Enhancing security in IIoT: RFID authentication protocol for edge computing and blockchain-enabled supply chain by Vikash Kumar, Santosh Kumar Das

“…By utilizing the real-time processing capabilities of edge computing and the decentralization and immutability of blockchain, the protocol enhances the security of data transmitted in the system. …”
Get full text

Multihop cost awareness task migration with networking load balance technology for vehicular edge computing by Shih-Yang Lin, Jie-Qin Wang, Shi-Ming Peng, Miao-Hui Yang, Shuo Jia

“…This paper investigates dynamic resource allocation and task migration mechanisms for cooperative vehicular edge computing (VEC) servers to expand computing capabilities of local server. …”
Get full text

Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

“…Abstract In recent years, Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC) systems have emerged as innovative solutions for delivering efficient communication and computing services to Internet of Things (IoT) devices. …”
Get full text

A state-of-the-art review of soft computing-based monitoring and control in the machining of hard alloys by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak, Abhijit Bhowmik

Get full text

Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review by Kareem Awad Waleed, Zainol Ariffin Khairul Akram, Nazri Mohd Zakree Ahmad, Yassen Esam Taha

“…The concept of cloud computing has completely changed how computational resources are delivered and used. …”
Get full text

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…However, the sheer volume of data from billions of devices can overwhelm networks, making traditional cloud data processing inefficient for IoT applications. This paper presents a comprehensive survey of recent advances in models, architectures, hardware, and design requirements for deploying machine learning on low-resource devices at the edge and in cloud networks. …”
Get full text

Real-time data processing for serial crystallography experiments by Thomas White, Tim Schoof, Sergey Yakubov, Aleksandra Tolstikova, Philipp Middendorf, Mikhail Karnevskiy, Valerio Mariani, Alessandra Henkel, Bjarne Klopprogge, Juergen Hannappel, Dominik Oberthuer, Ivan De Gennaro Aquino, Dmitry Egorov, Anna Munke, Janina Sprenger, Guillaume Pompidor, Helena Taberman, Andrey Gruzinov, Jan Meyer, Johanna Hakanpää, Martin Gasthuber

“…The average single-thread processing time per frame was 242 ms for blank frames and 455 ms for hits, meaning that a single 96-core computing node was sufficient to keep up with the data, with ample headroom for unexpected throughput reductions. …”
Get full text

Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing by Ibragim Suleimenov, Oleg Gabrielyan, Eldar Kopishev, Aruzhan Kadyrzhan, Akhat Bakirov, Yelizaveta Vitulyova

“…The current state of affairs in the field of using polymer hydrogels for the creation of innovative systems for signal and image processing, of which computing is a special case, is analyzed. …”
Get full text

From molecules to data: the emerging impact of chemoinformatics in chemistry by Anup Basnet Chetry, Keisuke Ohto

“…Emerging technologies, including quantum computing, hold promise for further revolutionizing the field by offering new capabilities for simulating and optimizing chemical processes. …”
Get full text

An Efficient Stream Data Processing Model for Multiuser Cryptographic Service by Li Li, Fenghua Li, Guozhen Shi, Kui Geng

Get full text

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks by Prince Semba Yawada, Mai Trung Dong

Get full text

Synthetic and natural face identity processing share common mechanisms by Kim Uittenhove, Hatef Otroshi Shahreza, Sébastien Marcel, Meike Ramon

Get full text

Opportunities of natural language processing for comparative judgment assessment of essays by Michiel De Vrindt, Anaïs Tack, Wim Van den Noortgate, Marije Lesterhuis, Renske Bouwer

Get full text

Efficient skyline query processing with user-specified conditional preference by Senfu Ke, Xiaodong Fu, Jie Li

“…In this article, we propose an innovative and efficient method for skyline query processing, leveraging conditional preference networks (CP-Nets) to integrate specific user’s conditional preferences into the query process, termed as CP-Skyline. …”
Get full text

Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT by Mohamed Riad Sebti, Zohra Dakhia, Sonia Carabetta, Rosa Di Sanzo, Mariateresa Russo, Massimo Merenda

Get full text

Dynamic single-photon emission computed tomography as a method of identification of multivessel coronary artery disease by A. V. Mochula, K. V. Zavadovsky, S. L. Andreev, Yu. B. Lishmanov

Subjects: “…objective. the aim of this study was to determine the informative value of dynamic tomoscintigraphy in detection of multivessel coronary artery disease (cad). material and methods. patients with multivessel cad (n= 16) and healthy volunteers (n= 9) underwent dynamic cardiac single photon emission computed tomography with 99mтс-mibi at rest and during pharmacological stress-test. processing of acquired results involved the formation of regions of interest from the cavity and the myocardium of the left ventricle used to create activity-time curves. coronary flow reserve index was defined as a quotient of two ratios of the mean counts from the myocardial region to the integral activity in the left ventricular cavity for the studies performed during pharmacological stress test and at rest. results. the mean values of coronary flow reserve index were 1.86 (1.59…”
Get full text

Memory–Non-Linearity Trade-Off in Distance-Based Delay Networks by Stefan Iacob, Joni Dambre

Subjects: “…information processing capacity…”
Get full text