A5063729290- IoT and Edge/Fog Computing
- Cognitive Radio Networks and Spectrum Sensing
- COVID-19 diagnosis using AI
- Blockchain Technology Applications and Security
- COVID-19 epidemiological studies
- Wireless Communication Networks Research
- Cloud Data Security Solutions
- COVID-19 Pandemic Impacts
- Financial Distress and Bankruptcy Prediction
- Cloud Computing and Resource Management
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Radiomics and Machine Learning in Medical Imaging
- Sentiment Analysis and Opinion Mining
- Advanced MIMO Systems Optimization
- Power Line Communications and Noise
- FinTech, Crowdfunding, Digital Finance
- Age of Information Optimization
- Crime, Illicit Activities, and Governance
- Advanced Adaptive Filtering Techniques
- COVID-19 Clinical Research Studies
- Traffic Prediction and Management Techniques
- AI in cancer detection
- Impact of AI and Big Data on Business and Society
- Digital Imaging for Blood Diseases
Dr. Rajendra Prasad Central Agriculture University
2022-2024
GIET University
2020-2024
Utkal University
2020-2024
Sri Sri University
2021
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...
The world health organization (WHO) formally proclaimed the Coronavirus, called COVID-19 episode a worldwide pandemic on 11 March 2020. In December 2019 was found in Wuhan city, China, and now coronavirus has spread over various nations as flare-up to 198+ nations. All out contaminations outside of China are quickening exponentially, with disease cost outperforming 250,000+ 18 2020, Asia's commitment at more than 81,000. Proposed model is using time series analysis forecast outbreak upcoming...
The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in intelligent transportation systems. This research suggests a deep learning model for anomaly detection based on GRU over VANET network traffic address this challenge. Consumer electronics technologies can be successfully introduced market one two ways: either there is clear benefit customer from using technology, or it required by regulatory order that prevents use alternatives. It possible detect unknown...
The Coronavirus disease 2019 (COVID-19) outbreak was first discovered in Wuhan, China, and it has since spread to more than 200 countries. World Health Organization proclaimed COVID-19 a public health emergency of international concern on January 30, 2020. Normally, quickly spreading infection that could jeopardize the well-being countless individuals requires prompt action forestall malady timely manner. is major threat worldwide due its ability rapidly spread. No vaccines are yet available...
Abstract Loans are a crucial source of income for the financial sector, but they also come with significant risks. The interest on loans constitutes portion bank's assets. demand is growing worldwide, and organizations devising efficient business strategies to attract more clients. Every day, large number people apply various reasons, not all them can be approved due risk loan default. It uncommon default their loans, causing losses banks. purpose this article determine whether grant...
Cognitive Radio Ad-hoc Networks (CRAHNs) are under constant attacks from compromised primary & secondary nodes. These focus on bandwidth manipulation, internal configuration and selective spoofing, which can disturb the normal working of CRAHNs. Researchers propose various security models to mitigate these attacks, each with limitations. Most have higher complexity, while others cannot be used multiple attack types. To overcome issues maintaining Quality Service (QoS) this text proposes a...
With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability virtual resource provisioning, is paramount importance e-commerce applications. However, dynamic nature services introduces unique challenges, notably establishment service-level agreements (SLAs) continuous monitoring compliance. This paper presents a versatile framework adaptation...
Cognitive Radio Ad-hoc Networks (CRAHNs) combines characteristics of ad-hoc networks with cognitive radios to facilitate a variety communication scenarios. However, these are subject persistent attacks from internal and external adversaries, such as Masquerading, Spoofing, Spying, Distributed Denial Service (DDoS). Existing deep learning models proposed counter suffer complexity, real-time processing limitations, lack network scalability. In addition, their limited IP tracing capabilities...
Abstract Due to the huge impact of COVID-19, world is currently facing a medical emergency and shortage vaccine. Many countries do not have enough equipment infrastructure tackle this challenge. lack central administration guide take necessary precautions, they proactively identify cases in advance. This has caused Covid-19 be on increase, with number increasing at geometric progression. Rapid testing, RT-PCR CT-Scan/X-Ray chest are primary procedures identifying covid-19 disease. Proper...
Twitter is one of the most used social network platforms with more than 321 million active users, sending a daily average 500 Tweets. basically reaches broad audience, connects many and also provides useful point view on an ongoing topic based their interests. This research paper includes works Machine Learning, NLP, sentiment analysis twitter data which related to Goods Service Tax (GST) collected from by web scraping technology. Basically here we have found out how people are against or...
The world of computation has shifted from centralized (client-server, not web-based) to distributed systems during the last three decades. We are now reverting virtual centralization, i.e., Cloud Computing (CC). In computation, location data and processes makes all difference. A person complete control over operations in their computer. On other side, CC involves a vendor providing service upkeep. At same time, client/customer is ignorant where operating or kept. As result, client does...
The forecasting model used random forest algorithm. From the outcomes, it has been found that regression models utilize basic linkage works and are exceptionally solid for forecast of COVID-19 cases in different countries as well India. Current shared worldwide confirmed case predicted by taking world population a comparatives study done on total growth top 10 worst affected including US excluding US. ratio between vs. fatalities is end special India where we have forecasted all age groups...