A5045088949- Advanced Wireless Communication Techniques
- Mobile Ad Hoc Networks
- PAPR reduction in OFDM
- Wireless Communication Networks Research
- Opportunistic and Delay-Tolerant Networks
- ECG Monitoring and Analysis
- Biometric Identification and Security
- IoT and Edge/Fog Computing
- Advanced Steganography and Watermarking Techniques
- Image and Signal Denoising Methods
- User Authentication and Security Systems
- Advancements in Semiconductor Devices and Circuit Design
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare
- Energy Efficient Wireless Sensor Networks
- Blockchain Technology Applications and Security
- Smart Grid Security and Resilience
- Vehicular Ad Hoc Networks (VANETs)
- Semiconductor materials and devices
- Digital Media Forensic Detection
- Energy Load and Power Forecasting
- Digital Filter Design and Implementation
- Analog and Mixed-Signal Circuit Design
- Speech and Audio Processing
- Microwave Engineering and Waveguides
Bennett University
2025
Dr. D.Y. Patil Vidyapeeth, Pune
2024-2025
D.Y. Patil University
2025
Chandigarh University
2023-2024
KIIT University
2024
Lovely Professional University
2024
Graphic Era University
2024
Jagran Lakecity University
2021
Manav Rachna International Institute of Research and Studies
2009-2020
Atal Bihari Vajpayee Indian Institute of Information Technology and Management
2016
In recent years, the automotive industry has witnessed a significant shift towards leveraging advanced technologies for quality control and assessment, with particular focus on tire quality. This research study presents "DeepTread," an innovative approach that explores untapped potential of transfer learning in domain classification. Transfer learning, powerful paradigm within deep allows adaptation pre-trained neural networks purpose evaluation. By knowledge gained from various related...
Daily electrical peak-load forecasting has been done using the feedforward neural network based on Levenberg–Marquardt back-propagation algorithm, Broyden–Fletcher–Goldfarb-Shanno algorithm and one-step secant by incorporating effect of eleven weather parameters, type day previous information. To avoid trapping into a state local minima, optimisation user-defined parameters viz. learning rate error goal performed. Training data set selected growing window concept is reduced as per nature...
In Industry 4.0, integrating IIoT and smart manufacturing is crucial for high-quality, efficient, cost-effective production. However, the performance of systems can be hindered by unevenly distributed ESPs. To tackle this challenge, we propose an optimized embedded system edge intelligence manufacturing, leveraging digital twin technology. Our approach employs a twin-assisted alliance game resource optimization strategy to jointly optimize multi-dimensional allocation, including bandwidth,...
Bioinformatics and Healthcare Integration Disease prediction models have been revolutionized by Big Data. These models, which make use of extensive medical data, predict illnesses before symptoms appear. Deep neural networks are well-known for their ability to increase accuracy extending the network's depth modifying weights through gradient descent. Traditional approaches, however, hindered issues such as instability delayed training. As a substitute, Broad Learning (BL) system is...
Electrocardiogram ECG signal is usually corrupted by several artifacts and these must be removed before diagnosis. This paper therefore presents the design of various FIR filters like Kaiser, Rectangular, Hamming, Hanning, Gaussian Bartllet window techniques Equiripple Filter. IIR Butterworth, Chebychev I & II Elliptic Filters are also explored to remove in signal. To verify usability designed filters, noisy generated adding random noise, white noise 50 Hz interference (hum) 100m.mat data...
This paper includes a prospective approach of developing trust based QOS protocol (TBQP) using meta-heuristic genetic algorithm for optimizing and securing MANET. Genetic will help in maintaining Quality Service(QOS) by selecting fittest i.e. shortest route hence providing better performance. Intelligent optimization approaches or meta heuristic algorithms like, algorithm(GA), neural networks(NN) on artificial intelligence(AI), particle swarm optimization(PSO) technique simulated...
Speaker recognition is the process of recognizing speaker based on characteristics such as pitch ,tone in speech wave.Background noise influences overall efficiency system and still considered one most challenging issue Recognition System (SRS).In this paper mel-frequency cepstral coefficients (MFCC) feature used along with Vector Quantisation(VQ)-LBG [Linde, Buzo Gray, 1980] algorithm for designing SRS.MFCC extracted from input then vector quantization MFCC features done using VQLBG...
Clinical auxiliary decision-making is related to life and health of patients, so the deep model needs extract personalised representation patients ensure high analysis prediction accuracy; provide a basis for conclusions. In this context, clinical proposed an interpretable assessment method patient status based on contextual learning medical features, encoding time-series features each variable separately, using multi-head de-coordination self-attention mechanism Relationships between...
Most classification models for Alzheimer's Diagnosis (AD) do not have specific strategies individual input samples, leading to the problem of easily overlooking personalized differences between samples. This research introduces a customized dynamically ensemble convolution neural network (PDECNN), which is able build integration strategy based on distinctiveness sample. In this paper, we propose dynamic alzheimer's model. model will modify deteriorated brain areas interest depending various...
Due to the self configuring and infra-structure less nature of MANET(Mobile Ad-hoc Network) optimization crunches, QOS(Quality Service) contention security breaches tend occur. So, rivet mobile ad-hoc networks proposed algorithm sifted in this paper cogitate biometric perception as most innovative solution which incorporates exclusive iris features elicited by image procurement system. QOS based issues MANET are elucidated genetic approach results optimized performance network. Significance...