A5101254216- Artificial Intelligence in Healthcare
- Big Data and Business Intelligence
- AI in cancer detection
- Diverse Aspects of Tourism Research
- Sharing Economy and Platforms
- Radiomics and Machine Learning in Medical Imaging
- Ethics in Clinical Research
- Cruise Tourism Development and Management
- Asian Culture and Media Studies
- Colorectal Cancer Screening and Detection
- Brain Tumor Detection and Classification
- Video Surveillance and Tracking Methods
- Digital Marketing and Social Media
- Digital Transformation in Industry
- Fire dynamics and safety research
- Recreation, Leisure, Wilderness Management
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Renal cell carcinoma treatment
- Electricity Theft Detection Techniques
- Machine Fault Diagnosis Techniques
- Pancreatic and Hepatic Oncology Research
- Healthcare cost, quality, practices
- Natural Language Processing Techniques
- Energy Load and Power Forecasting
Lovely Professional University
2024-2025
Chandigarh University
2023-2024
Significant threats to property, human life, and the environment arise from fire events. For fires have as minimal of an impact possible, quick discovery effective action are essential. AI-based smoke detection security control systems use cutting-edge technology algorithms accomplish early precise event detection. AI-proposed computer vision techniques analyze sensor data in real time find visual signs smoke. Based on hue, Fire is located. detection, contours bounding boxes utilized. The...
The most frequent primary brain tumors are gliomas, which call for precise prognostic models early detection and individualized care. For optimum treatment planning patient care, accurate prediction of glioma development survival is essential. improving choices outcomes in the convergence these techniques offers enormous promise. multifaceted field integrates many modalities machine-learning strategies to increase prognostication accuracy. To assist efficient tumor development, grade,...
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a poor prognosis. Accurate preoperative assessment using computed tomography (CT) to determine resectability crucial in ensuring patients are offered the most appropriate therapeutic strategy. Despite use of classification guidelines, any interobserver variability between reviewing surgeons and radiologists may confound decisions influencing patient treatment pathways.
The creation of renewable energy relies heavily on wind turbines, yet undiscovered defects can reduce its performance. This study uses an ensemble methodology to propose a reliable failure detection and diagnosis (FDD) model for turbines. combines the benefits Random Forest, Gradient Boosting, Support Vector Classifier (SVC), three machine learning techniques. suggested was put test in scenarios – best, worst, average ones-to determine dependability. Surprisingly, accuracy 0.9963 attained,...
Heart disease is a cluster of conditions that affect the heart and blood vessels. Cardiovascular (heart disease) includes many factors such as pressure, cholesterol, sugar, obesity, more causes it. This research aims to predict risk attacks or disease. dataset collected from open-source platform Kaggle Machine Learning Repository. To accomplish this prediction, an optimized ensemble model proposed using various typical modern machine learning algorithms are Bagging, RandomForest, Kstar,...
Market research is crucial for comprehending consumer behavior, identifying market trends, and developing effective marketing strategies. Statistical software like SPSS has become increasingly widely used in due to its capacity evaluate huge datasets produce insightful results. This study intends explore how much using enhances the accuracy of data analysis, recognize forecast develop The questions developed this analyze variables that affect SPSS's performance they may be enhanced enhance...
Due to its capability assist users in the analysis and visualization of complex data sets, Tableau is a potent program that has grown popularity recent years. Tableau's design, functionality, possible advantages for are all covered in-depth this study report. user-friendly intuitive design makes it simple build interactive dashboards visualizations. Users can import analyze from variety sources because software supports wide range sources. also provides customization choices, including fonts...