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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,

Email :

Latest Articles

Ahead of Print

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 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) by using Information Hiding Techniques based on Man-In-The-Middle Attack: A Review

The Ad-hoc Network is widely spreading in the whole world for quick communication. The MANET is a type of Ad-hoc network with special features of independent direct connections between devices.

Application, Security Goals, MANETs, MITM Attacks, Information Hiding Methods

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

An Investigative Study of Competition-Aware Incentive Mechanisms in Mobile Ad Hoc Networks

Mobile Ad Hoc Networks (MANETs) present a unique communication paradigm characterized by their decentralized and dynamic nature, where nodes rely on each other for packet forwarding and network maintenance.

Competition, cooperation, MANET, mobile, resource, self-organizing

AI- based Prediction of Misinformation Virality Before Wide Dissemination using Attention-based Multi-modal

Misinformation on social media has emerged as a critical global challenge, impacting public health, democratic institutions, and societal trust.

Misinformation virality, multi-modal learning, attention mechanisms, CNNs, Data Availability