MS
Maruvada Seshashayee
GITAM Institute of Science, Jawaharlal Nehru Technological University, Kakinada
Research areas: Environmental Science · Environmental Engineering · Air Quality Monitoring and Forecasting · Topic Modeling · Advanced Neural Network Applications
0000-0002-1951-6731
Employment
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GITAM Institute of Science Assistant Professor2005 - Present
Education
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Feature fusion of fruit image categorization using machine learning Save
- Brain Tumor Detection using Enhanced Convolution Neural Network for MR Images Save
- Sentiment Analysis for Telugu Text Using Cuckoo Search Algorithm Save
- Hybrid color feature image categorization using machine learning Save
- A Relative Examination on Clustering Techniques: Agglomerative, K-Means, Affinity Propagation and DBSCAN Save
- Healthy Fruit Image Label Categorization through Color Shape and Texture Features Based on Machine Learning Algorithm Save
- Investigating Fake News Detection Using Machine Learning Algorithms: Scikitlearn Save
- PERFORMANCE ANALYSIS OF FRUIT CROP FOR MULTICLASS SVM CLASSIFICATION Save
- Remote Healthcare System to Predict Cardiovascular Disease Using Bigdata and Green Cloud Frameworks Save
- Satellite Image Classification Using Machine Learning Save
- Securing Data in IoT Devices using DNA Cryptography Save
- Big Data Framework for storage Extraction and Identification of Data using Hadoop Distributed File system. Save
- Big Data Processing System for Diabetes Prediction using Machine Learning Technique Save
- Brain Tumor Detection Using Various Classification Techniques Save
- Brain Tumor Detection and Identification Using Histogram Method Save
- Bug Hunting using Web Application Penetration Testing Techniques. Save
- Categorized Image Classification Using CNN Features with ECOC Framework Save
- Gk Fuzzy Clustoring By Using Histogram Method Save
- Intelligent Air Pollution Prediction System using Internet of Things(IoT) Save
- Weather and Air Pollution real-time Monitoring System using Internet of Things Save