A5014422797- Video Surveillance and Tracking Methods
- Metaheuristic Optimization Algorithms Research
- Pesticide Exposure and Toxicity
- Pesticide Residue Analysis and Safety
- Agricultural safety and regulations
- Health Systems, Economic Evaluations, Quality of Life
- Image and Signal Denoising Methods
- Drug-Induced Hepatotoxicity and Protection
- Artificial Intelligence in Healthcare
- Advanced Multi-Objective Optimization Algorithms
- Advanced Data Compression Techniques
- Horticultural and Viticultural Research
- Drug Solubulity and Delivery Systems
- Analog and Mixed-Signal Circuit Design
- Crop Yield and Soil Fertility
- PAPR reduction in OFDM
- ECG Monitoring and Analysis
- Plant Surface Properties and Treatments
- Brain Tumor Detection and Classification
- Kidney Stones and Urolithiasis Treatments
- EEG and Brain-Computer Interfaces
- Smart Agriculture and AI
- Gastrointestinal motility and disorders
- Economic and Financial Impacts of Cancer
- Advanced Image Fusion Techniques
Koneru Lakshmaiah Education Foundation
2017-2022
Professor Jayashankar Telangana State Agricultural University
2017
Andhra University
2005
This study aims to improve the accuracy of epileptic seizure prediction using cloud-based, real-time electroencephalogram analysis. The goal is build a strong framework that can quickly process (EEG) data, extract relevant features, and use advanced machine learning algorithms predict seizures with high low latency by taking advantage cloud platforms' computing power scalability. main objective provide patients their caregivers timely notifications so they may control epilepsy episodes...
This paper provides survey on different classification techniques that can be used for plant leaf diseases classification.Identification of symptoms disease by naked eye is difficult farmer.Crop protection in large frames done using computerized image processing technique detect diseased color information leaves.There are so many such as k-Nearest Neighbor Classifier, Probabilistic Neural Network, Genetic Algorithm, Support Vector Machine, and Principal Component Analysis, Artificial neural...
Multi-location supervised field trials were conducted in India at four locations of the All Network Project (AINP) on Pesticide Residues to study persistence, dissipation and risk assessment flubendiamide deltamethrin cucumber (Cucumis sativus). resulting from three spray applications a combination formulation (flubendiamide 90% + 60%, 150 SC) recommended (22.5 15 g a.i./ha) double (45 30 dose analysed. On basis persistence studies, half- life (T1/2) varied 1.40 2.98 (recommended dose) 1.55...
The improvement of the metaheuristic algorithms is one exciting topics to investigators in current years resolve optimisation and engineering problems. One population-based search methods, i.e., moth-flame algorithm (MFO), eminent by easy execution, low limits, high speed. On other hand, MFO process has shortcomings; for instance, verdict local minimum as a substitute global weakness pursuit proficiency. In this paper, these shortages, integrated with differential evolution (DE) proposed new...