A5054218286- Hydrocarbon exploration and reservoir analysis
- Remote Sensing in Agriculture
- Seismic Imaging and Inversion Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Spectroscopy and Chemometric Analyses
- Remote Sensing and LiDAR Applications
- Seismology and Earthquake Studies
- Advanced Proteomics Techniques and Applications
- Geological Modeling and Analysis
- Geological formations and processes
- Genetics, Bioinformatics, and Biomedical Research
- Remote-Sensing Image Classification
- Geological Studies and Exploration
- Reservoir Engineering and Simulation Methods
- Distributed and Parallel Computing Systems
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Advanced Computational Techniques and Applications
- Soil Geostatistics and Mapping
- Genomics and Phylogenetic Studies
GGG (France)
2016-2020
National Remote Sensing Centre
2019
Indian Institute of Technology Bombay
2015-2016
Abstract — Brain tumours represent a critical and life-threatening medical condition that demands accurate timely diagnosis for effective treatment improved survival rates. Traditional diagnostic approaches, primarily reliant on radiologists' interpretations of MRI CT scans, are often time-consuming, subjective, heavily dependent clinical expertise. This paper explores the application YOLOv9, an advanced real-time object detection algorithm, to automate enhance brain tumour identification in...
Abstract. Soybean, a high value oilseed crop, is predominantly grown in the rainfed agro-ecosystem of central and peninsular India. Accurate up-to-date assessment spatial distribution soybean cultivated area key information requirement all stakeholders including policy makers, farmers consumers. A methodology for timely with precision crop using satellite data yet not operational In this scenario, synthetic aperture radar (SAR) has been shown to be reliable form gathering information,...
Over the last two decades, driver behind boom in unconventional reservoirs has been development of horizontal drilling and hydraulic fracturing. More recently, fall oil prices resulted industry refocusing on shale market its most profitable plays, a notable example being Permian Basin. We argue that this should also take place technology domain seismic derivatives provide reservoir completion engineers with means to optimize well planning. This is illustrated case study an advanced...
Abstract. The classification of agricultural crop types is an important application remote sensing. With the improvement in spatial, temporal and spectral resolution satellite data, a complete seasonal growth profile separability between different classes can be studied by using ensemble-learning techniques. This study compares performance Random Forest (RF), which decision tree based ensemble learning method Naïve Bayes ( probabilistic technique) for Lekoda gram panchayat, Ujjain district,...
Abstract. Crop yield maps are very crucial inputs for different practical applications like crop production estimation, pay-out of insurance, gap analysis etc. Satellite derived vegetation indices across electromagnetic region has the ability to explain variation in and can be used prediction before harvesting. This study utilised from multi-temporal Optical, Thermal Radar data developing model Wheat (Triticum aestivum) grain using Machine learning approaches i.e., Random Forest Regression...
Proteomics is at the epicenter of post-genomics biotechnologies that are currently driving next generation system science. Moreover, proteomics a truly global The 6th Annual Meeting Society, India (PSI) and International Conference on “Proteomics from Discovery to Function” held December 7–9, 2014, was transformative endeavor for proteomics, bringing together luminaries in field very first time India. This meeting report presents lessons learned highlights this international scientific...
Interest in the Powder River Basin (PRB) of Wyoming, Northwest USA, has been increasing recent years, as it is a mature basin with number prolific stacked plays, coupled promise and opportunity few key emerging plays. The Mowry Shale one unconventional plays historically characterized source rock for underlying Muddy Sandstone other shallower reservoirs. Both are considered underex¬plored to have potentially significant potential. Looking at these two concert, contrasts between conventional...
Unconventional reservoirs cannot be characterized by relying on the juxtaposition of single-attribute analysis. To understand their complexity, many correlated static and dynamic reservoir properties need to carefully quantitatively analyzed as part integrated multidisciplinary studies. The goal quantitative interpretation is predict away from control points in order improve vertical lateral well placement maximize stimulated volume (SRV) productivity. dense spacing three-dimensional (3D)...