A5071872660- Bacillus and Francisella bacterial research
- Big Data Technologies and Applications
- Face recognition and analysis
- Machine Learning in Bioinformatics
- Viral gastroenteritis research and epidemiology
- Smart Agriculture and AI
- Zoonotic diseases and public health
- AI in cancer detection
- Generative Adversarial Networks and Image Synthesis
- RNA and protein synthesis mechanisms
- Sentiment Analysis and Opinion Mining
- Fractal and DNA sequence analysis
- Computational and Text Analysis Methods
- Genetics, Bioinformatics, and Biomedical Research
- Traffic Prediction and Management Techniques
- Advanced Data Processing Techniques
- Spectroscopy and Chemometric Analyses
- Bioinformatics and Genomic Networks
- Artificial Intelligence in Healthcare
- Bacteriophages and microbial interactions
- Gene expression and cancer classification
- Technology and Data Analysis
M S Ramaiah University of Applied Sciences
2020-2024
Visvesvaraya Technological University
2019
Background and Aim: Anthrax, caused by the soil-borne spore-forming bacteria called Bacillus anthracis, is a zoonotic disease that persists worldwide in livestock wildlife infects humans. It great hazard to livestock; henceforth, evaluating global concerns about occurrence essential. This study was conducted estimate prevalence of anthrax predict high-risk regions, which could be an input veterinarians take necessary steps control avoid disease. Materials Methods: A literature review...
Multiomics data of cancer patients and cell lines, in synergy with deep learning techniques, have aided unravelling predictive problems related to research treatment. However, there is still room for improvement the performance existing models based on aforementioned combination. In this work, we propose two that complement treatment breast patients. First, discuss our learning-based model subtype classification. Second, DCNN-DR, a convolute.ion neural network-drug response method predicting...
In most developing countries, agriculture is the primary economic sector. Seed categorization and evaluation could provide detailed information for seed germination, quality management, impurity detection. Many academics are working on a range of image analysis systems using several algorithms. India world's second-largest wheat grower. The importance detecting cannot be overstated. Manually determining necessitates skilled knowledge time demanding. healthy poor growth complete indication...
<p><span>Face synthesis and editing has increased cumulative consideration by the improvement of generative adversarial networks (GANs). The proposed attentional GAN-deep multimodal similarity modal (AttnGAN-DAMSM) model focus on generating high-resolution images removing discriminator components realistic from textual description. attention creates map image automatically retrieves features to produce various sub-areas image. DAMSM delivers fine-grained image-text identical loss...
Background: Due to the increasing growth of social websites, a lot user-generated data is available these days in form customer reviews, opinions, and comments. Objective: Sentiment analysis includes analyzing user reviews finding overall opinions from terms positive, negative neutral categories. techniques can be used assign piece text single value that represents opinion expressed text. using lexicon approaches already studied. Methods: A new approach sentiment deep neural networks...