[PDF][PDF] Routing Techniques in network-on-chip based multiprocessor-system-on-chip for IOT: a systematic review

NA Husin, MB Zolkepli, N Manshor… - Iraqi Journal For …, 2024 - iasj.net
Routing techniques (RTs) play a critical role in modern computing systems that use network-
onchip (NoC) communication infrastructure within multiprocessor system-on-chip (MPSoC) …

Symmetric and asymmetric modeling to boost customers' trustworthiness in livestreaming commerce

XY Chew, A Alnoor, KW Khaw, AM Sadaa… - Current …, 2024 - Springer
Livestreaming commerce research has grown amazingly and gained tremendous attention;
however, a comprehensive model that explains and reveals customers' trustworthiness in …

Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods

YR Muhsen, AAJ Al-hchaimi - … on Explainable Artificial Intelligence in the …, 2024 - Springer
Intelligent agriculture decision support tools (IADSTs) are essential tools that help farmers
manage their farms under sustainable conditions. However, the assessment of IADSTs is …

Controller placement issue in software-defined networks with different goals: a comprehensive survey

H Mojez, H Kamel, R Zanjani, AM Bidgoli - The Journal of …, 2024 - Springer
Controller placement issue (CPI) in software-defined networks (SDNs) describes the
controllers' number, location, and assigning of forwarding devices to controllers. Recently …

The mediating influence of energy reduction on the relationship between green production and digital sustainability: Insights from Iraqi oil companies

AG Atiyah, MY Alhasnawi, SM Alshdaifat… - … on Explainable Artificial …, 2024 - Springer
Over the past three decades, sustainability issues have become essential goals worldwide;
therefore, new concepts, strategies, frameworks, and systems have been developed to …

Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions

AAJ Al-hchaimi, MF Alomari, YR Muhsen… - … on Explainable Artificial …, 2024 - Springer
In this study, we introduce an advanced machine learning model integrated with explainable
AI techniques to enhance the detection of payment fraud in real-time scenarios within the …

Enhancement of deep neural network recognition on MPSoC with single event upset

W Yang, W Song, Y Guo, Y Li, C He, L Wu, B Wang… - Micromachines, 2023 - mdpi.com
This paper introduces a new finding regarding single event upsets (SEUs) in configuration
memory, and their potential impact on enhancing the performance of deep neural networks …

Unveiling the Determinants of Digital Strategy from the Perspective of Entrepreneurial Orientation Theory: A Two-Stage SEM-ANN Approach

A Alnoor, AG Atiyah, S Abbas - Global Journal of Flexible Systems …, 2024 - Springer
The introduction of digital technologies has revolutionized every aspect of human life. As
digital technologies transform the landscape of businesses, the resistance to the …

Optimizing Energy and QoS in VANETs through Approximate Computation on Heterogeneous MPSoC

AAJ Al-Hchaimi, AHM Alaidi… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
This paper proposes a new algorithm called Dynamic Optimization of Energy and QoS in
VANETs (DOEQ-VANET), designed to maximize the energy efficiency and Quality of Service …

Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval

S Jiao, X Han, L Kuang, F Xiong, L He - Complex & Intelligent Systems, 2024 - Springer
Sketch-based cross-domain visual data retrieval is the process of searching for images or
3D models using sketches as input. Achieving feature alignment is a significantly …