• Regular Issue
    MRI Image Analysis for Early Brain Tumor Detection using Deep Learning

    C Lokeshwari

    India

    Mohan Babu University

    Detection and analysis of brain tumours from Magnetic Resonance Imaging (MRI) scans are essential for the early detection and treatment of brain cancers. Manual analysis of the MRI images is a time-consuming process for radiologists, as there are possibilities of human errors, especially while handling large volumes of medical images....

    • Research Type: Applied Research
    • Paper Type: Compare and Contrast Papers
    • Vol.8, Issue 1, Pages: 1 - 8, Jan 2026
    • Published on: 16 Jan, 2026
    • Issue Type: Regular
  • Regular Issue
    Real-Time Traffic Signal Optimization with Pedestrian Detection and Emergency Vehicle Priority

    Kodeboina Suresh

    India

    Potti Sriramulu Chalavadi Mallikarjuna Rao College of Engineering and Technology (PSCMRCET)

    Gridlock in metropolitan areas is the severe problem regarded within the gift lifestyles. The motors are extended at a excessive rate prompts gridlock at both pinnacle and non-pinnacle hours. This reasons much less powerful site visitors signal administration of streets. Traffic sign control frameworks depend upon a decent time span...

    • Research Type: Action Research
    • Paper Type: Field Research Paper
    • Vol.8, Issue 1, Pages: 9 - 13, Jan 2026
    • Published on: 19 Jan, 2026
    • Issue Type: Regular
  • Regular Issue
    Heterogeneous Dual-Channel Edge-Enhanced Temporal Graph Networks with Quantum Optimization for Accurate Schizophrenia Detection

    Ramya T

    India

    Vellore Institute of Technology (VIT University - Vellore)

    Schizophrenia (SZ) is a severe neuropsychiatric illness that interferes with cognitive and emotional functioning, making early diagnosis essential. Traditional clinical assessments are often subjective, while EEG signals offer valuable insights but are challenged by high dimensionality, noise, and non-linear patterns. To address these issues, a Novel Heterogeneous Dual-Channel Edge-Enhanced Temporal...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.8, Issue 1, Pages: 14 - 34, Jan 2026
    • Published on: 23 Jan, 2026
    • Issue Type: Regular
  • Regular Issue
    Automatic Pet Feeder With Smart Monitoring using IoT

    Dr D Aruna Kumari

    India

    Vidya Jyothi Institute Of Technology

    Nowadays, many people have pets, but because of busy daily schedules, they are not always able to feed their pets on time. Irregular feeding can create health problems for pets such as obesity, poor nutrition, and shortage of water. To solve this problem, we developed an IoT-based automatic pet feeding...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.8, Issue 1, Pages: 35 - 39, Jan 2026
    • Published on: 28 Jan, 2026
    • Issue Type: Regular
  • Regular Issue
    Unveiling Hidden Insights for Early Detection using Machine Learning-Driven Thyroid Cancer Prognosis

    MOLLI SRINIVASA RAO

    India

    Raghu Engineering College(Autonomous)

    P J V G PRAKASA RAO

    India

    Lendi Institute of Engineering and Technology

    One of the most common cancers in the world, thyroid cancer is becoming more common. Improving patient outcomes requires precise thyroid cancer prediction and early identification. The creation of prediction models based on a variety of patient data is now possible thanks to machine learning techniques, which have become highly...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.8, Issue 1, Pages: 40 - 50, Feb 2026
    • Published on: 10 Feb, 2026
    • Issue Type: Regular
  • Regular Issue
    Energy-Efficient IoT based Precision Smart Agriculture Monitoring System for Enhanced Crop Fruitage

    Gudla Sateesh

    India

    ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES

    One of the In our technology, we successfully decode gene sequences and transplant seeds from various sources to produce greater productivity within crop yields in a shorter period of time. In a non-progressive way, its technology can have an impact on health issues and also go a long way towards...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.8, Issue 1, Pages: 51 - 57, Feb 2026
    • Published on: 18 Feb, 2026
    • Issue Type: Regular
  • Regular Issue
    Internet Enhanced Smart Energy Network Efficiency using Artificial Intelligence

    T Murali Mohan

    India

    Swarnandhra College of Engineering and Technology

    In the state of affairs of industrialization, requirements of the international strength crisis, including environmental pollution and smart grid connectivity for power networks continue enhancement to deeply built-in to shape network the Power Internet using Artificial Intelligence. Hence, it is wished aimed at power systems, proceedings technology, AI, and science...

    • Research Type: Applied Research
    • Paper Type: Theoretical Research Paper
    • Vol.8, Issue 2, Pages: 1 - 9, Mar 2026
    • Published on: 01 Mar, 2026
    • Issue Type: Regular
  • Regular Issue
    Blockchain for Cybersecurity : Strengthening Trust, Transparency, and Threat Resilience

    YEGIREDDI RAMESH

    India

    Aditya Institute of Technology and Management

    Academic institutions have become prominent targets for evolving cyber threats, including ransom ware, credential theft, data manipulation attacks, and intellectual-property exploitation. Traditional centralized security infrastructures used in universities are increasingly inadequate due to distributed learning environments, large user populations, and heterogeneous digital ecosystems. This paper proposes a block chain-enabled cyber...

    • Research Type: Comparative Research
    • Paper Type: Analytical Research Paper
    • Vol.8, Issue 2, Pages: 10 - 20, Mar 2026
    • Published on: 02 Mar, 2026
    • Issue Type: Regular
  • Regular Issue
    A Privacy-Preserving Universal Multimodal Framework for Real-Time Any-to-Any Transformation

    Ramakrishna Kolikipogu

    India

    Chaitanya Bharathi Institute of Technology (CBIT)

    We propose a unified multimodal framework, Universal Multi-Modal Generation Enabling Any-to-Any Transformation, that enables seamless transformation between text, audio, and image inputs and outputs. The system integrates three core capabilities: speech understanding using Whisper, visual understanding through LLaVA, and speech synthesis via PyTorch-based text-to-speech models. All modules are deployed on-premise...

    • Research Type: Applied Research
    • Paper Type: Analytical Research Paper
    • Vol.8, Issue 2, Pages: 21 - 24, Mar 2026
    • Published on: 06 Mar, 2026
    • Issue Type: Regular
  • Regular Issue
    Scalable Deduplication for Privacy-Preserving Media Sharing in Mobile Cloud Environments

    P. Srinivasa Rao

    India

    MVGR College of Engineering (Autonomous)

    To improve the efficiency of outsourced storage systems, secure deduplication mechanisms have been introduced. Among these, AES-based encryption is widely used, where packet-level messages are encrypted using a key derived from the message itself. This enables the detection of duplicate data, since identical plaintexts generate identical ciphertexts under the same...

    • Research Type: Classification Research
    • Paper Type: Compare and Contrast Papers
    • Vol.8, Issue 2, Pages: 21 - 29, Mar 2026
    • Published on: 08 Mar, 2026
    • Issue Type: Regular
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