A5017909710- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Network Security and Intrusion Detection
- COVID-19 diagnosis using AI
- Opportunistic and Delay-Tolerant Networks
- Artificial Intelligence in Healthcare
- Blockchain Technology Applications and Security
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Malware Detection Techniques
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Long-Term Effects of COVID-19
- Smart Agriculture and AI
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
- COVID-19 Clinical Research Studies
- Energy Harvesting in Wireless Networks
- Brain Tumor Detection and Classification
- Entrepreneurship Studies and Influences
- Multi-Criteria Decision Making
- Medical Imaging and Analysis
- Mechanical Circulatory Support Devices
- Wireless Power Transfer Systems
- Privacy-Preserving Technologies in Data
Taylor's University
2024-2025
P.V. Narsimha Rao Telangana Veterinary University
2025
King Saud University
2025
University of Campania "Luigi Vanvitelli"
2025
King Faisal University
2011-2024
Greenwich University
2022-2023
Bahauddin Zakariya University
2022
National Institute of Cardiovascular Diseases
2022
Bahria University
2021
Koneru Lakshmaiah Education Foundation
2020
Different neurological manifestations of coronavirus disease 2019 (COVID-19) in adults and children their impact have not been well characterized. We aimed to determine the prevalence in-hospital complications among hospitalized COVID-19 patients ascertain differences between children. conducted a prospective multicentre observational study using International Severe Acute Respiratory emerging Infection Consortium (ISARIC) cohort across 1507 sites worldwide from 30 January 2020 25 May 2021....
Machine intelligence models are robust in classifying the datasets for data analytics and predicting insights that would assist making clinical decisions. The disease prognosis preliminary investigation, which is crucial effective treatment. There a massive demand interpretability explainability of decision present day. models’ trustworthiness can be attained through deploying ensemble classification eXplainable Artificial Intelligence (XAI) framework. In current study, role classifiers over...
Over the past few years, a tremendous change has occurred in computer-aided diagnosis (CAD) technology. The evolution of numerous medical imaging techniques enhanced accuracy preliminary analysis several diseases. Magnetic resonance (MRI) is prevalent technology extensively used evaluating progress spread malignant tissues or abnormalities human body. This article aims to automate computationally efficient mechanism that can accurately identify tumor from MRI images and analyze impact tumor....
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring substantial medical expenses. Currently, blood glucose measured by minimally invasive methods, which involve extracting a small sample and transmitting it meter. This method deemed discomforting for individuals who are undergoing it. The present study introduces an Explainable Artificial Intelligence (XAI) system, aims create intelligible machine capable explaining expected outcomes decision models. To...
Machine Learning methods can play a key role in predicting the spread of respiratory infection with help predictive analytics. techniques mine data to better estimate and predict COVID-19 status. A Fine-tuned Ensemble Classification approach for death cure rates patients from using has been proposed different states India. The classification model is applied recent dataset India, performance evaluation various state-of-the-art classifiers performed. forecasted patients' status regions plan...
Predicting crop yields is one of agriculture’s most challenging issues. It crucial in making national, provincial, and regional choices estimates the government to meet food demands its citizens. Crop production anticipated based on various factors such as soil conditions meteorological, environmental, variables. This study intends develop an effective model that can accurately anticipate agricultural advance, assisting farmers better planning. In current study, Yield Prediction Dataset...
Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solutions can help optimize environment with assistance while greatly reducing challenges. A framework based Internet Medical Things (IoMT) is used in current study implementation AAL technology patients Type-2 diabetes. glucose oxide sensor monitor diabetic...
Abstract Background Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive (IMV). We aimed describe the clinical characteristics, outcomes and risk factors for failing support in treated severe during first two years pandemic high-income countries (HICs) low middle-income (LMICs). Methods This is a multinational, multicentre, prospective cohort study embedded...
Purpose This study aims to investigate the influence of digitalization corporate social responsibility (CSR) on sustainable competitive performance (SCP) small- and medium-sized enterprises (SMEs) in an emerging economy examine moderating effect digital organizational culture this relationship. Design/methodology/approach Data collection was conducted through a survey completed by 311 owners top managers operating service, trading manufacturing sector SMEs positioned within twin cities...
With the advent of cloud computing and wireless sensor networks, number cyberattacks has rapidly increased. Therefore, proportionate security networks become a challenge for organizations. Information advisors organizations face difficult complex decisions in evaluation selection information controls that permit defense their resources assets. must be selected based on an appropriate level security. However, needs intensive investigation regarding vulnerabilities, risks, threats prevailing...
In the digestion of amino acids, carbohydrates, and lipids, as well protein synthesis from consumed food, liver has many diverse responsibilities functions that are to be performed. Liver disease may impact hormonal nutritional balance in human body. The earlier diagnosis such critical conditions help treat patient effectively. A computationally efficient AW-HARIS algorithm is used this paper perform automated segmentation CT scan images identify abnormalities liver. proposed approach can...
Coronavirus 2019 (COVID -19) is the current global buzzword, putting world at risk. The pandemic’s exponential expansion of infected COVID-19 patients has challenged medical field’s resources, which are already few. Even established nations would not be in a perfect position to manage this epidemic correctly, leaving emerging countries and that have yet begun grow address problem. These problems can solved by using machine learning models realistic way, such as computer-aided images during...
The traditional healthcare systems require more data storage and not a quick responsive mode. new era of intelligent uses advanced frameworks devices to work with Internet things (IoT), Cloud Computing, edge computing devices, the Medical Things (IoMT). These technology adoptions may drastically increase performance are available anytime anywhere replace medical methods – organizations in network exchange patient that has been gathered. therefore susceptible variety threats. attacker exploit...
Accurately identifying bone fractures from the X-ray image is essential to prompt timely and appropriate medical treatment. This research explores impact of hyperparameters data augmentation techniques on performance You Only Look Once (YOLO) V10 architecture for fracture detection. While YOLO architectures have been widely employed in object detection tasks, recognizing fractures, which can appear as subtle complicated patterns images, requires rigorous model tuning. Image was done using...
Background: Arterial stiffness and loss of recoil indicate arterial aging increase cardiovascular risk, particularly for ischemic heart disease. Advances in coronary computed tomography angiography (CCTA) enhance the detection artery disease (CAD) through high-quality imaging plaque analysis. This study's objective is evaluating ankle-brachial index (ABI) accuracy diagnosing CAD compared to CCTA. Methods: A prospective, observational study was executed with 200 participants who underwent ABI...
Objective Evaluating pesticides’ impacts on human health, ecological balance, and agricultural production is the main focus of research pesticides. The present study aims to investigate hematological parameters both genders albino rats after exposure dimethoate Material Methods There was a total eight groups rats, there were two control groups, treatment further divided into six groups. A low dose of: 5ml given T1 group, medium 10ml T2 high 20 ml T3 group. Each group contained nine in them...
With the increasing volume of smartphones, computers, and sensors in Internet Things (IoT) model, enhancing security preventing ransom attacks have become a major concern. Traditional mechanisms are no longer applicable due to involvement devices with limited resources, which require more computing power resources. Ransomware is comparatively new cruel malware cyberspace higher rates around world. could encrypt entire data make users unable access their files important information. In some...