A5047971894- Advanced Steganography and Watermarking Techniques
- IoT and Edge/Fog Computing
- COVID-19 Pandemic Impacts
- COVID-19 and Mental Health
- Vehicle License Plate Recognition
- COVID-19 diagnosis using AI
- Advancements in Semiconductor Devices and Circuit Design
- COVID-19 epidemiological studies
- Antenna Design and Analysis
- Low-power high-performance VLSI design
- Digital Media Forensic Detection
- Blockchain Technology Applications and Security
- Semiconductor materials and devices
- Advanced MIMO Systems Optimization
- Handwritten Text Recognition Techniques
- Digital Transformation in Industry
- Fire Detection and Safety Systems
- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Video Surveillance and Tracking Methods
- Smart Agriculture and AI
- IoT-based Smart Home Systems
- AI in cancer detection
- Big Data and Business Intelligence
- Artificial Intelligence in Healthcare
Dr. A.P.J. Abdul Kalam Technical University
2020-2025
Government of Uttar Pradesh
2023-2025
Indian Institute of Technology Tirupati
2024
Sri Sivasubramaniya Nadar College of Engineering
2022
Karpagam Academy of Higher Education
2022
Indian Institute of Technology Guwahati
2022
Indian Institute of Management Lucknow
2021-2022
Indian Institute of Technology Kanpur
2022
SRM Institute of Science and Technology
2022
Institute of Technical Education
2022
Abstract This work proposes the use of an unmanned aerial vehicle (UAV) with autopilot to identify defects present in municipal sewerage pipes. The framework also includes effective control mechanism that can direct flight path a UAV within sewer line. Both these breakthroughs have been addressed throughout this work. UAV's camera proved useful sewage inspection, providing important contextual data helped analyze line's internal condition. A plethora information for understanding inner...
This paper develops an effective encryption and steganography-based text extraction in IoT using deep learning method. Initially, the input cover images are separately pre-processed. DCT (discrete cosine transform) is utilized to transfer image from spatial domain frequency domain. Then, original encrypted new optimized equilibrium-based homomorphic (OEHE) approach. Next, extended wavelet convolutional transient search (EWCTS) optimizer with quotient multi-pixel value differencing (QMPVD)...
A deep neural network is used to develop a covert communication and textual data extraction strategy based on steganography picture compression in such work. The original input image cover are both pre-processed before the text-based pictures separated implanted into least significant bit of object element using spatial steganography. Following that, stego-images compressed transformed(by Leh Transformation) provide higher-quality while also saving storage space at sender's end. After then,...