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Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead

IEEE Open Journal of the Communications Society, 2023
A comprehensive coverage of the state-of-the-art in quantum machine learning (QML) methodologies, with a unique perspective on their applications for wireless communications, is presented.
Bhaskara Narottama, Zina Mohamed, Sonia Aissa   +2 more
doaj   +1 more source

Integrating parallelism and asynchrony for high-performance software development [PDF]

E3S Web of Conferences, 2023
This article delves into the crucial roles of parallelism and asynchrony in the development of high-performance software programs. It provides an insightful exploration into how these methodologies enhance computing systems' efficiency and performance ...
Zaripova Rimma, Mentsiev Adam, Perukhin Marat   +2 more
doaj   +1 more source

Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective

Journal of Low Power Electronics and Applications, 2020
Many-core platforms are rapidly expanding in various embedded areas as they provide the scalable computational power required to meet the ever-growing performance demands of embedded applications and systems.
Behnaz Pourmohseni, Michael Glaß, Jörg Henkel, Heba Khdr, Martin Rapp, Valentina Richthammer, Tobias Schwarzer, Fedor Smirnov, Jan Spieck, Jürgen Teich, Andreas Weichslgartner, Stefan Wildermann   +11 more
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A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment

International Journal of Mathematical, Engineering and Management Sciences, 2022
One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing ...
Sandip Kumar Patel, Ritesh Patel
doaj   +1 more source

Computing with Words in Decision support Systems: An overview on Models and Applications [PDF]

International Journal of Computational Intelligence Systems, 2010
Decision making is inherent to mankind, as human beings daily face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments with vague
Luis Martinez, Da Ruan, Francisco Herrera   +2 more
doaj   +1 more source

A Quantum Computing-Based Accelerated Model for Image Classification Using a Parallel Pipeline Encoded Inception Module

Mathematics, 2023
Image classification is typically a research area that trains an algorithm for accurately identifying subjects in images that have never been seen before.
Shtwai Alsubai, Abdullah Alqahtani, Adel Binbusayyis, Mohemmed Sha, Abdu Gumaei, Shuihua Wang   +5 more
doaj   +1 more source

A Decentralized Edge Computing Latency-Aware Task Management Method With High Availability for IoT Applications

IEEE Access, 2021
Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different applications which offer real-time latency features; however, it is difficult to handle the large volumes of data produced during the computational process, to ...
Muhammad Bukhsh, Saima Abdullah, Imran Sarwar Bajwa   +2 more
doaj   +1 more source

Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects [PDF]

PeerJ Computer Science
Fog computing has emerged as a prospective paradigm to address the computational requirements of IoT applications, extending the capabilities of cloud computing to the network edge.
Deafallah Alsadie
doaj   +2 more sources

Notational Modeling for Model Driven Cloud Computing using Unified Modeling Language

EAI Endorsed Transactions on Scalable Information Systems, 2018
Cloud Computing and Model-Driven Engineering (MDE) are two of the most dominant paradigms nowadays. Models are considered as major parts in the MDE, and concentrates on the formation and then conversion of models to the implementation. Cloud Computing is
Muhammad Faisal, Shoaib Nazir, Muhammad Babar   +2 more
doaj   +1 more source

Enhancing 5G Networks with Edge Computing: An Overview Study [PDF]

ITM Web of Conferences
This paper explores the synergies between Multi-access Edge Computing (MEC) and 5G technology, including their methodologies, characteristics, and architectures.
Chaouki Halima, Iqdour Radouane, Boulouird Mohamed   +2 more
doaj   +1 more source