Elaris Publications is an esteemed worldwide publisher specializing in the fields of Computer Science, Electrical Engineering, Mechanical Engineering, Management, Education and Medical disciplines. We offer an extensive selection of journals and books that span the domains of Science, Engineering, Technology, Education and Medicine. Our mission is to empower researchers worldwide by providing an exceptional publishing environment, allowing them to publish, read and cite their work with ease.
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Elaris Computing Nexus (ECN) focuses on connecting diverse areas of computing including algorithms, artificial intelligence, data science, networks, cybersecurity, software engineering, and emerging technologies to foster interdisciplinary collaboration and address both theoretical and real-world challenges.
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Elaris Management Insights (EMI) seeks to bridge the gap between academic theory and industry practice by fostering critical discussions, advancing managerial knowledge, and encouraging evidence-based decision-making for sustainable organizational growth.
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Elaris ElectroMech (EEM) aims to serve as a leading international platform for cutting-edge research in Mechanical Engineering, Electrical Engineering, and integrated electromechanical systems. The EEM focuses on publishing high-quality, original work that drives innovation in design, analysis, modelling, manufacturing, automation, control, and intelligent system development for next-generation electromechanical applications. By integrating multidisciplinary engineering domains, EEM advances smart, efficient, and sustainable engineering solutions for industry and academia.
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Elaris Wireless Intelligence (EWI) aims to advance the global research landscape in intelligent wireless communication by publishing high-quality, innovative, and impactful studies that integrate wireless technologies with artificial intelligence, machine learning, and next-generation networking paradigms. The journal seeks to serve as a premier platform for researchers, engineers, and industry experts to showcase breakthroughs that enhance the performance, reliability, security, and efficiency of modern wireless systems and future network architectures.
Explore ArticlesHyun Jong Yang
Doi: 10.65148/ECN/2026019
Published On: 02 October 2026
Page No: 226-239
Sungahn Shim
Doi: 10.65148/ECN/2026018
Published On: 30 September 2026
Page No: 215-225
Yinghuan Shi
Doi: 10.65148/ECN/2026017
Published On: 26 September 2026
Page No: 203-214
Adaptive Spectrum Allocation for Low Latency Vehicular Networks Using Deep Reinforcement Learning
Cyril Arbel
Doi: 10.65148/ECN/2026016
Published On: 12 September 2026
Page No: 190-202
Wavelet Transformer Hybrid Model for Real Time Industrial Fault Detection
Vivienne Sze
Doi: 10.65148/ECN/2026015
Published On: 05 September 2026
Page No: 177-189
Performance Comparison of Full and Hybrid QGANs for Particle Shower Simulation
Bancy Mbura Maranga
Doi: 10.65148/ECN/2026014
Published On: 02 September 2026
Page No: 167-176
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