A5034853815- Topic Modeling
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- IoT and Edge/Fog Computing
- COVID-19 diagnosis using AI
- Network Security and Intrusion Detection
- Natural Language Processing Techniques
- Brain Tumor Detection and Classification
- AI in cancer detection
- Sentiment Analysis and Opinion Mining
- Advanced Neural Network Applications
- Advanced Queuing Theory Analysis
- Artificial Intelligence in Healthcare
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Digital Imaging for Blood Diseases
- Blockchain Technology Applications and Security
- Assembly Line Balancing Optimization
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Energy Efficient Wireless Sensor Networks
Maharaja Engineering College
2016-2025
Guru Gobind Singh Indraprastha University
2018-2024
Indian Institute of Technology Dhanbad
2012-2024
ITM University
2022-2024
Sri Karan Narendra Agriculture University, Jobner
2023-2024
Atal Bihari Vajpayee Indian Institute of Information Technology and Management
2022-2024
Children's Hospital of Los Angeles
2024
Graphic Era University
2024
National Institute of Technology Arunachal Pradesh
2021-2024
University of Oxford
2024
Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have detrimental effect on the global economy and health. A positive chest X-ray infected patients crucial step in battle against COVID-19. Early results suggest that abnormalities exist X-rays suggestive This has led introduction variety deep learning systems studies shown accuracy patient detection through use strongly optimistic. Deep networks...
Pneumonia is among the top diseases which cause most of deaths all over world. Virus, bacteria and fungi can pneumonia. However, it difficult to judge pneumonia just by looking at chest X-rays. The aim this study simplify detection process for experts as well novices. We suggest a novel deep learning framework using concept transfer learning. In approach, features from images are extracted different neural network models pretrained on ImageNet, then fed into classifier prediction. prepared...
Internet of Medical Things (IoMT) is the collection medical devices and related applications which link healthcare IT systems through online computer networks. In field diagnosis, image classification plays an important role in prediction early diagnosis critical diseases. images form indispensable part a patient's health record can be applied to control, handle treat But, challenging task computer-based diagnostics. this research article, we have introduced improved classifier i.e., Optimal...
In every aspect of human life, sound plays an important role. From personal security to critical surveillance, is a key element develop the automated systems for these fields. Few are already in market, but their efficiency point concern implementation real-life scenarios. The learning capabilities deep architectures can be used classification overcome issues traditional systems. Our aim, this paper, use networks classifying environmental sounds based on generated spectrograms sounds. We...
The aim of this study is to propose a model based on machine learning (ML) and Internet Things (IoT) diagnose patients with COVID-19 in smart hospitals. In sense, it was emphasized that by the representation for role ML models IoT relevant technologies hospital environment. accuracy rate diagnosis (classification) laboratory findings can be improved via light models. Three models, namely, naive Bayes (NB), Random Forest (RF), support vector (SVM), were trained tested basis datasets. main...
At present times, the real-time requirement on multiaccess healthcare monitoring system, information mining, and efficient disease diagnosis of health conditions is a difficult process. The recent advances in technology internet medical things (IoMT) have fostered extensive utilization smart system. A complex, 24/7 service needed for effective trustworthy patients daily basis. To accomplish this need, edge computing cloud platforms are highly required to satisfy requirements systems. This...
The recent advancements in Internet of Things (IoT), cloud computing, and Artificial Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By incorporating key technologies such as IoT AI, medical services can be improved. convergence AI offers different opportunities sector. In this view, current research article presents a new convergence-based disease diagnosis model for system. major goal is to design heart diabetes using techniques. presented...
The novel coronavirus infection (COVID-19) that was first identified in China December 2019 has spread across the globe rapidly infecting over ten million people. World Health Organization (WHO) declared it as a pandemic on March 11, 2020. What makes even more critical is lack of vaccines available to control disease, although many pharmaceutical companies and research institutions all world are working toward developing effective solutions battle this life-threatening disease. X-ray...
At present times, the drastic advancements in 5G cellular and internet of things (IoT) technologies find useful different applications healthcare sector. same time, COVID-19 is commonly spread from animals to persons, but today it transmitting among persons by adapting structure. It a severe virus inappropriately resulted global pandemic. Radiologists utilize X-ray or computed tomography (CT) images diagnose disease. essential identify classify disease through use image processing...
Internet of medical things (IoMT) has made it possible to collect applications and devices improve healthcare information technology. Since the advent pandemic coronavirus (COVID-19) in 2019, public health become more sensitive than ever. Moreover, different news items incorporated have resulted differing perceptions COVID-19, especially on social media platform infrastructure. In addition, unprecedented virality changing nature COVID-19 makes call centres be likely overstressed, which is...
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...
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...