A5018468595- Remote Sensing in Agriculture
- Magnesium Alloys: Properties and Applications
- Leaf Properties and Growth Measurement
- Data Visualization and Analytics
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Image and Video Quality Assessment
- Data Management and Algorithms
- Complex Network Analysis Techniques
- Metallurgical and Alloy Processes
- Computer Graphics and Visualization Techniques
- Titanium Alloys Microstructure and Properties
- MXene and MAX Phase Materials
- Additive Manufacturing and 3D Printing Technologies
- Hydrogen Storage and Materials
- Material Properties and Applications
- Superconductivity in MgB2 and Alloys
- Generative Adversarial Networks and Image Synthesis
- Soil Geostatistics and Mapping
- Microstructure and mechanical properties
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- AI in cancer detection
- Advanced Image Processing Techniques
University of Nebraska–Lincoln
2017-2024
Mississippi State University
2021
Leaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of mainly include acetone ethanol extraction, spectrophotometry high-performance liquid chromatography. Such destructive methods based on laboratory procedures are time consuming, expensive, not suitable high-throughput analysis. High throughput imaging techniques now widely used non-destructive analysis phenotypic traits. In this study three...
Leaf numbers are vital in estimating the yield of crops. Traditional manual leaf-counting is tedious, costly, and an enormous job. Recent convolutional neural network-based approaches achieve promising results for rosette plants. However, there a lack effective solutions to tackle leaf counting monocot plants, such as sorghum maize. The existing often require substantial training datasets annotations, thus incurring significant overheads labeling. Moreover, these can easily fail when...
contraction twins that are commonly activated in α-titanium interact to each other and form three types of twin–twin junctions (, , TTJs) corresponding the crystallography six twin variants (i = 1,2, … 6). We detected 243 TTJs rolled pure sheets. Electron backscatter diffraction analysis reveals profuse, 79.8% among while take up 17.7 2.5%. Twin transmission does not occur. Consequently, boundaries associated with interactions block propagation influence growth. explain structural features...
Volume visualization plays a significant role in revealing important intrinsic patterns of 3D scientific datasets. However, these datasets are often large, making it challenging for interactive systems to deliver seamless user experience because high input latency that arises from I/O bottlenecks and limited fast memory resources with miss rates. To address this issue, we have proposed deep learning-based prefetching method called RmdnCache, which optimizes the data flow across hierarchy...
Medical image synthesis is important in diverse healthcare applications, such as computer-aided diagnosis, medical analysis, and educational tools. While Generative Adversarial Networks (GANs) have shown remarkable success generating natural images, their application to images often falls short faithfully capturing essential anatomical features. In this paper, we introduce a new approach that focuses on tissue-specific color encoding enhance using GANs. Our method deviates from the...
We present a novel web-based framework, named Pixel-Based Edge Bundling (PBEB), for effectively and interactively visualizing large graphs. Our framework combines an image-based edge-bundling method parallel texture-based processing scheme, allowing us to efficiently compute edge similarities using kernel density estimation subsequently group these edges into bundles based on their similarities. discuss several challenges related developing large-graph visualization platforms. To accelerate...
Soil measurement and evaluation are crucial to various aspects of agriculture, including agricultural productivity, nutrient management, water pH Regulation. Hyperspectral imaging is an advanced technique used capture analyze a wide range light wavelengths (or spectral bands) across the electromagnetic spectrum. in soil research involves use this properties soils. It allows researchers detailed information about composition, texture, conditions This in-depth analysis provides valuable...
Abstract BackgroundLeaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of mainly include acetone ethanol extraction, spectrophotometry high-performance liquid chromatography. Such destructive methods based on laboratory procedures are time consuming, expensive, not suitable high-throughput phenotyping. High throughput imaging techniques now widely used nondestructive analysis phenotypic traits. In...