Journal of Multimedia Technology & Recent Advancements

Latest articles

• Published Subscription Review Article 17 Oct 2026

  Integration of AI and Blockchain: Benefits & Use Cases- A Review

  By Sneha Raina

  Abstract: The fusion of blockchain technology and artificial intelligence (AI) is a groundbreaking innovation that has the potential to revolutionize numerous sectors. Blockchain being immutable in nature allows the data to be shared and stored securely and openly, while as AI can evaluate this data and provide insightful analysis. With the rapid development in the field of AI, we can analyze the developments done in the fields of healthcare, logistics, finance, …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 3, 2026 Read article →

• Published Subscription Original Research 30 Aug 2026

  Crowdsourced Real-Time Response with AR Assistance

  By Kajal Santosh Magar

  Abstract: The rapid growth of digital technologies has significantly transformed the way people interact with both virtual systems and the physical world. Among these technologies, crowdsourcing and augmented reality (AR) have emerged as two powerful innovations that are reshaping real-time information sharing, decision-making, and user experiences. Crowdsourcing enables organizations and systems to collect valuable data from a large number of users, while AR enhances the user's perception by overlaying digital information …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 34–40 Read article →

• Published Subscription Original Research 16 Aug 2026

  Attention-Enhanced YOLO Framework for Robust Real-Time Object Detection in Autonomous Driving Environments

  By Dasam Srinivas, A.V.S. Pawan Kumar

  Abstract: Accurate object detection is essential for autonomous driving systems, where vehicles must continuously perceive surrounding road users and infrastructure in real time. Although the You Only Look Once (YOLO) family of deep learning detectors has achieved significant success due to its high speed and efficiency, detecting small or partially occluded objects in complex traffic environments remains challenging. This paper presents an attention-enhanced YOLO framework designed to improve feature representation and …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 41–52 Read article →

• Published Subscription Original Research 15 Aug 2026

  AI-Driven Real-Time Traffic Monitoring and Intelligent Control System: A Unified Deep Learning Framework for Smart Urban Mobility Management

  By Anitya Anand

  Abstract: Urban traffic congestion imposes staggering economic and environmental costs on modern cities, with the INRIX Global Traffic Scorecard estimating annual per-driver productivity losses exceeding $1,348 in major metropolitan areas. Conventional traffic management infrastructure—fixed-cycle signal controllers, manual surveillance, and threshold-based incident detection—is fundamentally ill-equipped to address the dynamic, non-linear complexity of contemporary urban vehicular flows. This paper introduces TrafficNet-DRL, a unified deep learning and deep reinforcement learning framework for real-time traffic …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 24–33 Read article →

• Published Subscription Original Research 15 Aug 2026

  Intelligent Big Data Processing: Optimizing Analytics Pipelines Through Ensemble Machine Learning, Distributed Computing, and Adaptive AI Architectures

  By Ashok Kumar Sidar, Fateh Bahadur Kunwar

  Abstract: Traditional data analytics methods are facing significant challenges due to the explosive rise of digital data. Global data generation is expected to reach nearly 175 zettabytes by 2025. This puts significant pressure on existing computing infrastructure. Conventional analytics methods often struggle with scalability, processing speed, and smart decision-making. Rule-based systems and standalone machine learning models frequently cannot handle the complexity and scale of modern big data environments effectively. To tackle …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article →

• Published Subscription Original Research 11 Aug 2026

  IntelliScan: An AI-Powered Mobile System for Smart Retail Analytics and Inventory Management System

  By Aditi Anna Bhadange, Vaishnavi Uday Teke, Shreya Ashok Thakare, Sharmila.P. Zope

  Abstract: This project introduces a software-based Smart Digital Trolley System designed to enhance the shopping and billing experience in supermarkets by minimizing waiting time at checkout counters. In many retail stores, conventional billing methods often result in long queues, customer inconvenience, and delays during peak shopping hours. To address these challenges, the proposed system offers a digital and user-friendly solution that streamlines the entire purchasing process without relying on additional hardware …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 3, 2026 Read article →

• Published Subscription Review Article 10 Aug 2026

  HabituraX: A Comprehensive Machine Learning System for Lifestyle-Based Disease Risk Prediction

  By V.S. Aarsha, Ankita Joshi, Shivali, Gurmillan Singh, Dayal Chandra Sati

  Abstract: The increased prevalence of lifestyle-related non-communicable diseases such as diabetes, obesity, and sleep disorders in the world requires the development of proactive risk-stratification tools. Recent studies indicate that there is a significant shift in favor of multimodal artificial intelligence (AI) models that comprise deep learning models such as CNNs and LSTMs, which often demonstrate high predictive accuracy, along with complex ensemble approaches. However, the necessary clinical interpretability to perform open …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 12–23 Read article →

• Published Subscription Original Research 20 Mar 2026

  A Study of DCGAN-Based Generative Models for Anime Character Face Generation

  By Aaditya Mittal, Harsh Bathija, Yamini Sharma, Shreya Agarwal

  Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …

  Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article →

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