A5034896032- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Wireless Body Area Networks
- Artificial Intelligence in Healthcare
- Opportunistic and Delay-Tolerant Networks
- Molecular Communication and Nanonetworks
- Mobile Ad Hoc Networks
- Blockchain Technology Applications and Security
- AI in cancer detection
- UAV Applications and Optimization
- Energy Harvesting in Wireless Networks
- COVID-19 diagnosis using AI
- Video Surveillance and Tracking Methods
- Energy Efficient Wireless Sensor Networks
- Smart Agriculture and AI
- Network Security and Intrusion Detection
- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Advanced Steganography and Watermarking Techniques
- Advanced Wireless Communication Technologies
- Chaos-based Image/Signal Encryption
- Advanced Battery Technologies Research
- Brain Tumor Detection and Classification
- Advanced Malware Detection Techniques
- IoT-based Smart Home Systems
Iraqi University
2018-2025
University of Babylon
2023-2025
Uttaranchal University
2023-2024
Islamic University
2019-2023
Imam Abdulrahman Al Faisal Hospital
2023
Weatherford College
2023
Nirma University
2023
KIIT University
2023
Islamic University College
2022-2023
Siksha O Anusandhan University
2023
These days, the usage of machine-learning-enabled dynamic Internet Medical Things (IoMT) systems with multiple technologies for digital healthcare applications has been growing progressively in practice. Machine learning plays a vital role IoMT system to balance load between delay and energy. However, traditional models fraud on data distributed are still critical research problem The study devises federated learning-based blockchain-enabled task scheduling (FL-BETS) framework different...
Rise of predictive techniques have changed the manner we deal with disease diagnosis in healthcare domain. Earlier detail analysis patient data records was done for prediction to develop complicated prototypes detect trends. In recent times, symptoms assessement has been more accurate and effective rise analytics based intelligence. These technologies enable development models that can analyze large volumes identify hidden correlations, allowing early detection diseases. This research paper...
Nowadays, the use of electric vehicles (EVs) is increasing as charging infrastructure for these EVs necessary. The highly rapid loading technology can charge cars and looks like refilling fuel in vehicles. This article covers review sophisticated infrastructure, several topologies converters, quick-charging technologies to meet future requirements. Specifically designed AC/DC front-end stage non-isolated isolated DC/DC converters are suitable Fast Charging Stations (FCS) their applications...
From a Licensed Medical Practitioner’s (LMP) perspective, e-Healthcare Risk Prediction plays vital role in Health Big Data. This also is hot issue e-healthcare because of the lack security and privacy protections. To overcome this deficiency, research article proposes heterogeneous network systems (HNS), an efficient privacy-preserving method for e-healthcare. In comparison to existing contribution, proposed HNS accomplish two steps disease risk prediction, namely Analysis HNS, Heterogeneous...
Diabetes is a chronic disease that can affect human health negatively when the glucose levels in blood are elevated over creatin range called hyperglycemia. The current devices for continuous monitoring (CGM) supervise level and alert user to type-1 class once certain critical surpassed. This lead body of patient work at until medicine taken order reduce level, consequently increasing risk causing considerable damages case intake delayed. To overcome latter, new approach based on...
This study presents a control design of an angular position for the exoskeleton knee assistance system based on model reference adaptive (MRAC) strategy. Three schemes MRAC have been proposed: classical MRAC, with disturbance observer, and nonlinear observer. The stability analysis each scheme has conducted developed Lyapunov theorem to prove uniform ultimate bound tracking estimation errors. In addition, laws proposed according analysis. effectiveness state output feedback controllers...
In this paper, we discuss the usage of smart and machine learning based model to aid children with autism. Children autism require constant care because you never know what will trigger them. A novel method is suggested in paper where child constantly under CCTV camera when he or she alone a room. The child's movements be watched on camera. Data from gathered fed into model, which then able anticipate whether not that particular youngster has been triggered. According prediction, caregiver...
Real‐time medical image classification is a complex problem in the world. Using IoT technology applications assures that healthcare sectors improve quality of treatment while lowering costs via automation and resource optimization. Deep learning critical categorizing images, which accomplished by artificial intelligence. algorithms allow radiologists orthopaedic surgeons to make their life easier providing them with quicker more accurate findings real time. Despite this, classic deep...
The process of reviewing resumes takes time. unstructured written language can be understood and parsed by natural processing machine learning, which then extract the required information. goal is to teach computer analyze papers similarly a human. For assessing analyzing data, various methods including named entity recognition, tokenization, text classification, approaches other techniques have been explored. A user uploads resume into program, it converts standard format before parsing for...
The research study centers on the use of regression technique to predict climate change variation. Living beings planet are a high risk due abnormal changes in happening every now and then and, therefore, we need robust forecasting for making predictions. key issue faced prediction future is selection appropriate since uses different algorithm slight can make tremendous predicted results. predicts temperature using standard 'Jet Propulsion Laboratory', NASA dataset. raw data preprocessed...
Abstract The Internet of Things (IoT) is connecting more devices every day. Security critical to ensure that the operate in a trusted environment. lack proper IoT security encourages cybercriminals target many smart across network and gain sensitive information. Distributed Denial Service (DDoS) attacks are common infrastructure involve hijacking consume resources interrupt services. This may specifically vandalize application running service end users trying access (application layer DDoS...
Earthquake is one of the most devastating natural catastrophes, mainly because there rarely any advance notice and hence little opportunity to react. This makes issue earthquake prediction highly crucial for human safety. paper offers a technique predicting earthquakes by using normalized artificial neural network (ANN). Exploratory Data Analysis (EDA) applied on raw dataset find outliers co-relationship between input features. Then, Feature Engineering performed normalize data remove all...
The co-channel interference for mobile users (MUs) of a public safety network (PSN) in the co-existence heterogeneous networks such as unmanned aerial vehicles (UAVs) and LTE-based railway (LRNs) needs thorough investigation, where UAVs are deployed base stations (BSs) cell-edge coverage enhancement. Moreover, LRN is employed train, its control signal demands high reliability low latency. It necessary to provide higher priority when allocating resources from shared radio access channels...