A5004913719- Technology Adoption and User Behaviour
- Education and Islamic Studies
- Digital Marketing and Social Media
- Network Security and Intrusion Detection
- Islamic Finance and Banking Studies
- Arabic Language Education Studies
- AI in cancer detection
- Organizational and Employee Performance
- ICT Impact and Policies
- Natural Language Processing Techniques
- Islamic Studies and Radicalism
- Radiomics and Machine Learning in Medical Imaging
- Islamic Finance and Communication
- Artificial Intelligence in Healthcare
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Brain Tumor Detection and Classification
- Blockchain Technology Applications and Security
- Neural Networks and Applications
- COVID-19 diagnosis using AI
- Technology-Enhanced Education Studies
- Historical and Linguistic Studies
- Consumer Retail Behavior Studies
- Educational Technology and Assessment
- Biometric Identification and Security
Sultan Zainal Abidin University
2019-2025
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
2023-2024
Yashwantrao Chavan Maharashtra Open University
2024
Saveetha University
2024
Savitribai Phule Pune University
2024
GITAM University
2024
Siddhartha Medical College
2024
Koneru Lakshmaiah Education Foundation
2023-2024
Jouf University
2023-2024
Vellore Institute of Technology University
2023
As the world keeps advancing, need for automated interconnected devices has started to gain significance; cater condition, a new concept Internet of Things (IoT) been introduced that revolves around smart devicesʼ conception. These using IoT can communicate with each other through network attain particular objectives, i.e., automation and intelligent decision making. enabled users divide their household burden machines as these complex look after environment variables control behavior...
This study presents a novel multilevel inverter structure that can operate in both switched capacitor and asymmetric DC source modes. In the first mode, it produce seven-level output voltage employing two capacitors one single supply. The five-level is produced while operating second mode. ratio between input for mode 1:3 (triple gain). During of self -balanced whereas higher proposed reduces total standing modes operations as generate without requiring any additional H-bridge circuit....
The staggering development of cyber threats has propelled experts, professionals and specialists in the field security into more dependable protection systems, including effective intrusion detection system (IDS) mechanisms which are equipped for boosting accurately detected limiting erroneously simultaneously. Nonetheless, proficiency IDS framework depends essentially on extracted features from network traffic an classifier abnormal or normal traffic. prime impetus this study is to increase...
Predicting cyclone intensity is an important aspect of weather forecasting since it influences disaster preparation and response. This framework addresses the pressing need for precise prediction by presenting a unique predictive model based on hybrid CNN Bi-LSTM architecture optimized using Genetic Algorithm (GA) enhanced Fruit Fly Optimizer (FFO). Existing methods have primarily relied traditional machine learning models meteorological data, demonstrating limitations in capturing complex...
The goal of the present research is to better understand need accurate and ongoing monitoring in complicated chronic metabolic disease known as diabetes. With integration an intelligent system utilising a hybrid adaptive machine learning classifier, suggested method presents novel way tracking individuals with uses cutting edge technologies like (ML) improve efficacy accuracy diabetes patient monitoring. Integrating smart gadgets, sensors, telephones key locations gather full body dimension...
Artificial neural networks (ANN) consider classification as one of the most dynamic research and application areas. ANN is branch Intelligence (AI). The network was trained by back propagation algorithm [1]. A represent a mathematical models information processing, benefited from human biological systems (i.e. brain or nerve cell), where neutral can be learned same does. learning will done changing weight during training process using certain formula. One known Back Propagation Network. This...
In the era of modern technologies and with development marketing, nowadays customer can save time buying things without having to visit store. They just need shop online, find what they are pay it a few simple clicks. With this convenience in mind, indulgence people online has risen quite well. The customer's decision purchase product through Internet commerce under concept electronic - which been developed into e-commerce or mobile usually takes serious action perceived confidence services...
The early diagnosis and treatment of lung tumour, the primary cause cancer-related deaths globally, depend critically on identification tumours. In this approach, a new method is suggested for detecting tumours that combines Gaussian filter with hybrid Recurrent Neural Network-Generative Adversarial Network (RNN-GAN). Utilising sequential data seen in images tumours, RNN-GAN architecture used. processing input, RNN component looks temporal relationships patterns. GAN improves training...
This research introduces the distributed ledger technology (blockchain) in terms of sustainable development future. study is based on private, public and global communications various industries. The growing demands for secure decentralized transactions around world demonstrate need Blockchain as a medium operations communications. blockchain system completely allows users to exchange messages an efficient manner. highlight paper anticipated future use networks communication tool every...