A5012611081- IoT and Edge/Fog Computing
- Artificial Intelligence in Healthcare
- Blockchain Technology Applications and Security
- Internet of Things and AI
- Network Security and Intrusion Detection
- Big Data and Business Intelligence
- Privacy-Preserving Technologies in Data
- Brain Tumor Detection and Classification
- Caching and Content Delivery
- Digital Transformation in Industry
- Advanced Malware Detection Techniques
- Video Surveillance and Tracking Methods
- Security in Wireless Sensor Networks
- Context-Aware Activity Recognition Systems
- IoT-based Smart Home Systems
- Vehicular Ad Hoc Networks (VANETs)
- Wireless Body Area Networks
- Advanced Authentication Protocols Security
- ECG Monitoring and Analysis
- Cloud Data Security Solutions
- EEG and Brain-Computer Interfaces
- E-commerce and Technology Innovations
- Vehicle License Plate Recognition
- Internet Traffic Analysis and Secure E-voting
- Opportunistic and Delay-Tolerant Networks
University of North Texas
2023-2025
Vellore Institute of Technology University
2014-2024
Texas College
2024
Kyung Hee University
2020-2023
Gannon University
2022-2023
University of California, Davis
2018-2022
Middlesex University
2019-2021
The image segmentation refers to the extraction of region interest and it plays a vital role in medical processing. This work proposes multilevel thresholding based on optimization technique for compression DICOM images by an improved prediction lossless algorithm telemedicine applications. is inevitable data storage transfer. Compared conventional thresholding, efficient analysis. In this paper, Particle Swarm Optimization (PSO), Darwinian (DPSO), Fractional Order (FODPSO) are employed...
1. Introduction: The wind is used for solar energy, and energy energy. Without each other, electricity cannot be made. Then based on the components, generator, inverter-related can saved later. Problem formulation: One of main problems with that they make non-concentrated dilute from vast lands. Also, generating variability cost factors problem in power. To solve this, installation panels has been enabled done. production batteries some solutions stimulated analysis technique this paper...
Recently, artificial intelligence applications in magnetic resonance imaging have been applied several clinical studies. The analysis of brain tumors without human intervention is considered a significant area research because the extracted images need to be optimized using segmentation algorithm that highly resilient noise and cluster size sensitivity problems automatically detects region interest (ROI). In this paper, an improved orthogonal gamma distribution-based machine-learning...
Big data analytics and processing require complex architectures sophisticated techniques for extracting useful information from the accumulated information. Visualizing extracted real-time solutions is demanding in accordance with semantics classification employed by models. This article introduces fuzzy-optimized management (FDM) technique classifying improving coalition of based constraints. The dependency classified on basis relationships modeled between attributes. segregates considered...