A5084913815- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- COVID-19 diagnosis using AI
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Authentication Protocols Security
- Traffic Prediction and Management Techniques
- Artificial Intelligence in Healthcare
- User Authentication and Security Systems
- Privacy-Preserving Technologies in Data
- Network Security and Intrusion Detection
- Digital Media Forensic Detection
- Brain Tumor Detection and Classification
- Wireless Body Area Networks
- Context-Aware Activity Recognition Systems
- AI in cancer detection
- Biometric Identification and Security
- Evolutionary Algorithms and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Malware Detection Techniques
- Traffic control and management
- EEG and Brain-Computer Interfaces
- Advanced Wireless Communication Technologies
- Advanced Steganography and Watermarking Techniques
- Cryptography and Data Security
- Internet of Things and AI
Lovely Professional University
2024-2025
Dr. D.Y. Patil Vidyapeeth, Pune
2023-2025
D.Y. Patil University
2024
Chandigarh University
2022-2024
Graphic Era University
2024
Jagran Lakecity University
2020-2023
IEEE Computer Society
2023
Patel Hospital
2018-2021
Barkatullah University
2021
Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya
2017
In the modern era, cyberbullying (CB) is an intentional and aggressive action of individual or a group against victim via electronic media. The consequence CB increasing alarmingly, affecting either physically psychologically. This allows use automated detection tools, but research on such tools limited due to poor datasets elimination wide features during detection. this paper, integrated model proposed that combines both feature extraction engine classification from input raw text social...
The purpose of this research study is to conduct a explorative analysis on the feasibility employing diverse machine learning regression algorithms such as Linear Regression (LR), k-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), and Polynomial for predicting cholera outbreaks. This additionally considers environmental parameters socioeconomic factors along with existing outbreak data effectively comprehend underlying cause outbreak. compares performance various methods in...
This research study explores the crucial domain of upholding textual authenticity by introducing a comprehensive method for identifying AI-generated content, employing BERT (Bidirectional Encoder Representations from Transformers). In time when Artificial Intelligence (AI) significantly shapes written communication, it becomes imperative to differentiate between text produced humans and that generated machines. The proposed approach utilizes capabilities delving into contextual embedding,...
In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of traffic control in Vehicular Adhoc (VANETs). The former is used to route vehicles across highly congested paths enhance efficiency, lower average latency. latter combined the Internet Things (IoT) and it moves VANETs analyze congestion status between network nodes. experimental analysis tests effectiveness DNN-IoT-BA various machine or deep learning algorithms VANETs. validated through metrics, like...
Purpose The latest 2019 coronavirus (COVID-2019), which first appeared in December Wuhan's city China, rapidly spread around the world and became a pandemic. It has had devastating impact on daily lives, public's health global economy. positive cases must be identified as soon possible to avoid further dissemination of this disease swift care patients affected. need for supportive diagnostic instruments increased, no specific automated toolkits are available. results from radiology imaging...
The SEMRCNN model is proposed for autonomously extracting prostate cancer locations from regions of multiparametric magnetic resonance imaging (MP-MRI). Feature maps are explored in order to provide fine segmentation based on the candidate regions. Two parallel convolutional networks retrieve these apparent diffusion coefficient (ADC) and T2W images, which then integrated use complimentary information MP-MRI. By utilizing extrusion excitation blocks, it feasible automatically increase number...
This research paper presents a novel approach to optimize Hindi paragraph summarization using the PageRank method. With increasing volume of language content on internet, there is growing need for effective techniques tailored specifically text. The proposed method leverages inherent structure and connectivity paragraphs extract most important sentences summarization. algorithm applied construct rank representation text, with as nodes their co-occurrence patterns edges. By calculating scores...
This research intends to address the pressing concern of women's safety by developing predictive models for identifying regional crimes, utilizing a range regression including Support Vector Regression (SVR), Logistic Regression, Decision Tree (DT), K-Nearest Neighbor (KNN), Random Forest (RF), Linear (LR), and Polynomial Regression. With comprehensive dataset encompassing historical crime statistics, demographic attributes, socioeconomic factors, study aims construct accurate considering...
According to experts in neurology, brain tumours pose a serious risk human health. The clinical identification and treatment of rely heavily on accurate segmentation. varied sizes, forms, locations make automated segmentation formidable obstacle the field neuroscience. U-Net, with its computational intelligence concise design, has lately been go-to model for fixing medical picture issues. Problems restricted local receptive fields, lost spatial information, inadequate contextual information...
Abstract Emerging from the convergence of digital twin technology and metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation bioinformatics with healthcare Big Data has ushered in new era disease prediction models that harness comprehensive medical data, enabling anticipation illnesses even before onset symptoms. In this model, deep neural networks stand out because they improve accuracy remarkably by increasing network depth making weight changes using...
The transfer of medical images between hospitals is become a normal exercise for better decision making. Digital watermarking has played very significant role in sciences diagnosis and medication to protect reliability, availability, confidentiality. Several methods are proposed using the spatial transform domain. However, data falsification ratio high existing mechanisms while exchanging images. Hence, we suggest wavelet based digital scheme three level DWT BCH coding, which can be used...
Every human being has emotion for every item related to them. For customer, their can help the customer representative understand requirement. So, speech recognition plays an important role in interaction between humans. Now, intelligent system improve performance which we design convolution neural network (CNN) based that classify emotions different categories like positive, negative, or more specific. In this paper, use Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)...
Diabetic retinopathy (DR) is on the increase nowadays due to high sugar level in blood, and it reason for blindness that mainly occurs middle-aged people. Furthermore, Internet of Medical Things (IoMT) enabled computer-aided diagnostic (CAD) systems record DR-related data online give patients with reassuring information. The internet allows interconnection a variety smart devices, enabling remote healthcare based IoMT link medical professionals. proper diagnosis diabetic detection DR...