A5009508382- Data Mining Algorithms and Applications
- Network Security and Intrusion Detection
- Energy Load and Power Forecasting
- Face and Expression Recognition
- Text and Document Classification Technologies
- Blockchain Technology Applications and Security
- Medicinal Plants and Neuroprotection
- Tactile and Sensory Interactions
- COVID-19 diagnosis using AI
- Advanced Text Analysis Techniques
- Advanced Clustering Algorithms Research
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Brain Tumor Detection and Classification
- Imbalanced Data Classification Techniques
- Smart Agriculture and AI
- IoT and Edge/Fog Computing
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- AI in cancer detection
- Power Line Communications and Noise
- Forecasting Techniques and Applications
- Transportation and Mobility Innovations
- Stock Market Forecasting Methods
- Retinal Imaging and Analysis
Barkatullah University
2024-2025
Indian Council of Medical Research
2024
Management Sciences (United States)
2024
Jaypee Institute of Information Technology
2021-2024
Tata Consultancy Services (India)
2024
Institute of Engineering
2017-2022
Texas A&M University
2022
Swami Vivekanand Subharti University
2020-2021
Dayalbagh Educational Institute
2021
Dr. Hari Singh Gour University
2020-2021
The aim of the study is to introduce some approach which might help in improving daily temperature data. Weather a natural phenomenon for forecasting great challenge today. parameters such as Rainfall, Relative Humidity , Wind Speed, Air Temperature are highly non-linear and complex phenomena, include mathematical simulation modeling its correct forecasting. Forecasting use simplify purpose knowledge tools that used state atmosphere at given place. prediction becoming more complicated due...
The aim of the study is to introduce some appropriate approaches which might help in improving efficiency weather's parameters.Weather a natural phenomenon for forecasting great challenge today.Weather parameters such as Rainfall, Relative Humidity , Wind Speed Air Temperature are highly non-linear and complex phenomena, include statistical simulation modeling its correct forecasting.Weather Forecasting used simplify purpose knowledge tools state atmosphere at given place.The expectations...
Abstract Now a days, our life is totally dependent on internet which in turn leads to different kind of intrusion. In order detect intrusion, detection tool needed so as any intrusion without user involvement. Intrusion system process analyzing provide secured data transmission networking. One the most used tools packets Wireshark. Nevertheless, Wireshark less effective detecting still it can be intercept and network encrypted traffic will analyze captured traffic. helps identifying number...
A critical aspect of enhancing cybersecurity involves employing the anomaly-based Intrusion Detection System (IDS), which relies on machine learning methodologies for optimal functionality. Nonetheless, an investigation into existing IDS research uncovers issues regarding arbitrary algorithm choice, parameter selection, utilization old datasets, and inadequate result analysis. To mitigate these challenges, a comprehensive analysis juxtaposes prior studies against diverse attack scenarios...
Network traffic or data is defined as the volume of moving across a network at given point time. in computer networks usually encapsulated system packets, which describe load within network. main component for measurement, control and simulation. The forecasting each indexes telecom services business planning purpose has become more important, especially operators. results will help to create an optimal capacities, investments resources. research field prediction using machine learning been...
World Health Organization (WHO) outlined that there are two eighty five million visually disabled worldwide. Among them thirty nine people completely blind. One of the difficult activities could be conducted by impaired is obstacle detection which implemented using Machine Learning (ML). It an approach towards Artificial Intelligence (AI) provides system capacity for natural learning and development from experience without specifically programmed. computer vision to make decisions based on...
Background: The coronavirus disease (COVID-19) pandemic has significantly impacted healthcare services globally, with particular challenges observed in maternal and child health (MCH) care. This study aimed to assess the impact of on MCH northern India, focusing key government programs. Methods: Data were collected from four major programs India: Janani Suraksha Yojana (JSY), Shishu Karyakram (JSSK), Pradhan Mantri Surakshit Matritva Abhiyan (PMSMA), Universal Immunization Program (UIP)....
Data mining has lately been the most explored field. Many researchers have contributed different algorithms to study patterns in large data. Datasets may contain number of attributes working with all them can be inefficient, for works like medical treatments and marketing, hence only important should considered. In this paper, we use C5.0 find apply one classification two clustering observe consistency attributes. work, explore usefulness by finding accuracy dataset breast cancer. We...
Efficient and accurate identification of plant leaf diseases is crucial for modern agriculture, ensuring optimal crop yield quality. The method uses colours in images a technique called K-Means clustering to identify early. It involves several steps: first, adjusting the gray scale making them clearer. Then, it finds outlines keeps only important boundaries. By figuring out average these boundaries, captures different colour patterns each area. groups similar colours, showing where might be....