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Journal of Mobile Computing, Communications & Mobile Networks Cover

Journal of Mobile Computing, Communications & Mobile Networks

E-ISSN: 2349-901X | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Mobile Computing, Communications & Mobile Networks Journal of Mobile Computing, Communications & Mobile Networks [2349-901X(e)] is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Nuclear Engineering & Nuclear Technology.

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Journal Information

Title: Journal of Mobile Computing, Communications & Mobile Networks
Abbreviation: jomccmn
Issues Per Year: 3 Issues
E-ISSN: 2349-901X
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOMCCMN
Starting Year: 2014
Subject: Mobile Networks
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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jomccmn maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Ali H. Wheeb, Assistant Professor

University of Baghdad, Baghdad, Iraq,

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Latest Articles

Ahead of Print

IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions

The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation.

Internet of Things, Sustainable Development, Smart Cities, Green IoT, Energy Efficiency, Environmental Monitoring, SDGs

Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp

This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages.

Naive Bayes, Support Vector Machine, Save Our Souls, Artificial intelligence, Machine Learning, Natural language processing, and Deep Learning-based Web Attack Detection

A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks

The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins.

6G, Artificial intelligence, communication, localization, mmWave, mobile networks

An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets

The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account.

Adaptive optimization, differential privacy (DP), federated learning (FL), heterogeneous data environments, secure aggregation (SA)

Privacy and Security Enhancement in Mobile Ad Hoc Network (MANET) Using Information Hiding Techniques Based on Man-In-The-Middle Attack: A Review

The mobile ad hoc network (MANET) is widely spread throughout the entire world for quick communication.

Application, information hiding methods, MANETs, MITM attacks, security goals

Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains

This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field.

Ethical considerations, Natural Language Processing(NLP), NLP ethics, Bias, Privacy, Fairness, Transparency, ChatGPT