• Regular Issue
    Predicting Botnet Attack and Severity in Fog Computing Networks using Deep Learning with Reinforced Feature Optimization

    Surya Pavan Kumar Gudla

    India

    Aditya Institute of Technology and Management

    Preeti Nutipalli

    India

    ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES

    YEGIREDDI RAMESH

    India

    Aditya Institute of Technology and Management

    T Chalapathi Rao

    India

    Aditya Institute of Technology and Management

    As an extension of cloud services to the edge, Fog computing is a current paradigm for latency-sensitive and resource-constrained applications. Nevertheless, its distributed architecture makes it vulnerable to sophisticated cybersecurity threats, especially botnet assaults. To tackle this problem, we propose a reinforcement learning–enhanced deep learning framework for multi-class classification of...

    • Research Type: Applied Research
    • Paper Type: Compare and Contrast Papers
    • Vol.7, Issue 6, Pages: 1 - 19, Nov 2025
    • Published on: 01 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    High Gain Slotted Rectangular Patch Antenna Loaded with Circular Split Ring Resonator

    Jada Nageswara Rao

    India

    Jawaharlal Nehru Technological University Anantapur(JNTUA)

    Design and analysis of a circular split-ring resonator (CSRR) loaded high-gain slotted rectangular microstrip patch antenna (RPA) exhibiting frequency notch characteristics. The primary objective of this work is to enhance the gain and bandwidth of the conventional microstrip patch antenna operating in the X-band. The CSRR structure, functioning as a...

    • Research Type: Action Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 20 - 25, Nov 2025
    • Published on: 03 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Designing Interpretable and Explainable AI Frameworks for Smallholder Agriculture

    YEGIREDDI RAMESH

    India

    Aditya Institute of Technology and Management

    The world's food supply relies on individual with small holding farmers, but these farmers frequently lack access to sophisticated decision-support systems. The models are difficult to grasp, which is limiting the application of artificial intelligence (AI), despite its promise to increase output through prediction, disease detection, and input optimization. For...

    • Research Type: Laboratory Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 26 - 32, Nov 2025
    • Published on: 05 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Women Safety and Surveillance System using YoLov8

    Dr D Aruna Kumari

    India

    Vidya Jyothi Institute Of Technology

    Women Safety is one of the challenging areas in daily life’s, and it has led to different security problems. Due to security issues, women hesitate to work beyond hours to reach the safety targets. Our proposed system announces the real-time concept of live surveillance tracking system when the Women available...

    • Research Type: Action Research
    • Paper Type: Problem-Solution Research Paper
    • Vol.7, Issue 6, Pages: 34 - 38, Nov 2025
    • Published on: 07 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Intellignet Scheduling Drug Dispenser using Patient Management System

    Dr D Aruna Kumari

    India

    Vidya Jyothi Institute Of Technology

    Kodumuri Bhavya

    India

    Vidya Jyothi Institute Of Technology

    Medicine dispensing at hospitals is one of the challenging issue at healthcare management. It has led to the need of smart and automatic medicine dispenser without human intervention to speed up the drug delivery process and avoid the delay at counters. The hospitals already automated the process of patient appointment...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 39 - 43, Nov 2025
    • Published on: 09 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Comparative Analysis of Advanced Shielding Techniques for Crosstalk Mitigation in Multi-walled Carbon Nanotube TSVs

    T Chinna Sanjeeva Rayudu

    India

    Annamacharya University

    This paper proposes a novel technique for reducing crossover disturbances, consumption of electricity, Power Delay Product (PDP), and Energy-Delay Product (EDP) in MWCNT-based through-silicon vias (TSVs) with polymer dielectric liners. A new TSV structure is introduced, which uses MWCNT bundles as conductive elements and polymer liners such as polyimide, Polypropylene...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 44 - 49, Nov 2025
    • Published on: 11 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Adaptive Federated Learning for Industrial Wireless Energy Optimization

    K Chandrasekhar

    India

    Annamalai University

    The advancement in Industrial Wireless Sensor Networks (IWSNs) demands intelligent energy management strategies to enhance network longevity and reliability. This research proposes an adaptive federated learning (FL) framework to optimize energy consumption in IWSNs, incorporating predictive maintenance and dynamic clustering. Utilizing lightweight machine learning models integrated with FL, the framework...

    • Research Type: Applied Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 50 - 56, Nov 2025
    • Published on: 12 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Optimized Hybrid Energy Management System using Grey Wolf Optimizer for Reliable and Cost-Efficient Microgrid Operation

    KUPPIREDDY KRISHNA REDDY

    India

    MOTHER THERESA INSTITUTE OF ENGINEERING & TECHNOLOGY

    K KATHIRAVAN

    India

    MOTHER THERESA INSTITUTE OF ENGINEERING & TECHNOLOGY

    This paper presents the implementation of an intelligent Hybrid Energy System (HES) tailored to a detached micro-grid comprising Solar Power Panels(SPP), wind turbines (WT), and a Diesel Power Producer (DPP). The proposed system incorporates an advanced Utility Management (UM) strategy to dynamically balance Source and demand. To achieve optimal system...

    • Research Type: Action Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 57 - 68, Nov 2025
    • Published on: 13 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Secure AI Watermarking Framework for IP Protection in Multi-Tenant Cloud Platforms

    M. Anjankumar

    India

    Viswam Engineering College

    Prathima Chilukuri

    India

    Mohan Babu University

    The Secured data safe guard transaction with multi-tenant environments run on private-protected authenticate platforms runs by secured handed environments that emerges with the expansion of cloud-based AI services. To enhanced this secured leakage address challenges solution to protect a secure AI Watermarking system incorporating key distributed between trusted parties based...

    • Research Type: Action Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 69 - 82, Nov 2025
    • Published on: 15 Nov, 2025
    • Issue Type: Regular
  • Regular Issue
    Enhancing Grid-Connected Photovoltaic Systems Power Quality through the Unified Power Flow Controller Equipped with an Innovative Sliding Mode and PR Control System

    KUPPIREDDY KRISHNA REDDY

    India

    MOTHER THERESA INSTITUTE OF ENGINEERING & TECHNOLOGY

    N V KISHORE KUMAR

    India

    MOTHER THERESA INSTITUTE OF ENGINEERING & TECHNOLOGY

    This paper objects to improve power quality in grid-connected photovoltaic (PV) system through development of an advanced Unified Power Flow Controller (UPFC) these participates dual control strategies with the multi-level inverter architecture. UPFC, the flexible and multifunctional power electronic device, addresses common current-related power quality issues including harmonic distortion, current...

    • Research Type: Quantitative Research
    • Paper Type: Experimental Research Paper
    • Vol.7, Issue 6, Pages: 83 - 96, Nov 2025
    • Published on: 16 Nov, 2025
    • Issue Type: Regular
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