A5068793040- Rice Cultivation and Yield Improvement
- Agricultural Science and Fertilization
- Video Surveillance and Tracking Methods
- Fire Detection and Safety Systems
- Crop Yield and Soil Fertility
- IoT-based Smart Home Systems
- Soil Carbon and Nitrogen Dynamics
- Image and Signal Denoising Methods
- Plant Micronutrient Interactions and Effects
- Face and Expression Recognition
- Advanced Image Fusion Techniques
- Plant Water Relations and Carbon Dynamics
- Photovoltaic System Optimization Techniques
- solar cell performance optimization
- Chaos-based Image/Signal Encryption
- Irrigation Practices and Water Management
- Agriculture, Soil, Plant Science
- Seed and Plant Biochemistry
- Advanced Steganography and Watermarking Techniques
- Remote-Sensing Image Classification
- Image Enhancement Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Text and Document Classification Technologies
- Medical Image Segmentation Techniques
- Banking, Crisis Management, COVID-19 Impact
Prince Sattam Bin Abdulaziz University
2024
National Taiwan University of Science and Technology
2019-2024
Koneru Lakshmaiah Education Foundation
2024
Rice Research Institute
2020-2024
Aligarh Muslim University
2022-2024
Central Rice Research Institute
2023-2024
Indian Council of Agricultural Research
2022
Chandra Shekhar Azad University of Agriculture and Technology
2007-2021
University of Electronic Science and Technology of China
2019
Pondicherry University
2019
The patient of Parkinson's disease (PD) is facing a critical neurological disorder issue. Efficient and early prediction people having PD key issue to improve patient's quality life. diagnosis specifically in its initial stages extremely complex time-consuming. Thus, the accurate efficient has been significant challenge for medical experts practitioners. In order tackle this accurately PD, we proposed machine-learning-based system. development system, support vector machine (SVM) was used as...
The Unified Payment Interface (UPI) platform emerged as the most advanced mobile-based payment system in recent past that could be established to have significant value customers and banks India. UPI was designed offer ubiquitous availability at all times, efficiency, ease of use, transparency its user. Despite these attractive features massive rise internet smartphone users, number users has not shown growth expected. To better examine problem, it is crucial know factors influencing...
Forest fires are among the most critical natural tragedies threatening forest lands and resources. The accurate early detection of is essential to reduce losses improve firefighting. Conventional firefighting techniques, based on ground inspection limited by field-of-view, lead insufficient monitoring capabilities for large areas. Recently, due their excellent flexibility ability cover regions, unmanned aerial vehicles (UAVs) have been used combat fire incidents. An step an autonomous system...
Convolutional Neural Networks (CNNs) based approaches are popular for various image/video related tasks due to their state-of-the-art performance. However, problems like object detection and segmentation, CNNs still suffer from objects with arbitrary shapes, sizes, occlusions, varying viewpoints. This problem makes it mostly unsuitable fire segmentation since flames can have an unpredictable scale shape. In this paper, we propose a method that detects segments fire-regions special...
The technological progression is raised as a hybrid ecosystem with the industrial Internet of Things (IIoT). Among them, healthcare also broadly unified to develop an forthcoming system. Utilizing this type system can be facilitating optimum patient monitoring, competent diagnosis, intensive care, and including appropriate operation against existing critical diseases. Due enormous data theft or privacy leakage, security, towards patient-based informative data, preservation personal patients’...
Technological breakthroughs in computing have empowered vision-based surveillance systems to detect fire using transformers framework. Over the last few decades, convolutional neural networks (CNNs) been broadly applied for many computer vision-related problems and provided satisfactory results. However, due inductive prejudices embedded operations, it cannot comprehend long-range dependencies. Vision (ViT) has recently become an alternative CNN a vision problem by factoring image as patches...
Clustering of multi-view data has got broad consideration the researchers. Multi-view is composed through different domain which shows consistent and complementary behavior. The existing studies did not draw attention over-fitting sparsity among diverse view, considerable issue for getting unique consensus knowledge from these data. Herein article, a clustering approach recommended to provide solution To accomplish this task, we exploit non-negative matrix factorized method generate cost...
A hyper-spectral image can be subject to additive noise during the acquisition process. The main objective in removal is enhance visual quality of corrupted using de-noising techniques. Most techniques try discard pre-processing stage prior further analysis. focus this paper removing from remote sensing images. new method proposed for by applying a smooth nonlinear soft threshold on high frequency sub-bands images after 3D un-decimated wavelet transform (3D-UWT). This function referred as...
Internet of Things (loT)is the fast-growing emerging technology and it is making our daily life (activities)easier better. The loT connecting millions sensors heterogeneous devices having different computation, communication, storage capabilities which are increasing rapidly. network dissimilar larger from conventional network. However, natures connected raising security concerns challenges affect importance technology. In this paper, we proposed an authentication scheme based on OAuth 2.0...
This paper presents image de-noising in wavelet domain utilizing optimization algorithm combined with thresholding function. In this study, we utilized the nature inspired metaheuristic optimizer order to obtain optimal solutions for parameters of Despite TNN based noise reduction, while applying there is no need use LMS learning find threshold value. Applying Harris Hawk Optimization (HHO) which includes function leads optimized thresholded coefficients. research, smooth sigmoid shrinkage...
Abstract Continuous monocropping of puddled rice in Eastern India has decreased crop productivity and contributed to the deterioration soil structure. To address this issue, conservation agriculture (CA) is being developed as a method promote sustainability rice-based cropping system eastern India. The study was conducted with objectives evaluate influence CA components on C N mineralization impact enzymes, fractions. At research farm ICAR National Bureau Plant Genetic Resources, Cuttack,...
Ongoing researches on multiple view data are showing competitive behavior in the machine learning field. Multi-view clustering has gained widespread acceptance for managing multi-view and improves efficiency. Large dimensionality from various views recently drawn a lot of interest researchers. How to efficiently learns appropriate lower dimensional subspace which can manage valuable information diverse is challenging considerable issue. To concentrate mentioned issue, we asserted novel...
A computer-aided design CAD package, with a graphical user interface (GUI), to aid the and analysis of two- dimensional photovoltaic (PV) arrays under partial shading conditions is presented. The package uses variant two-diode model PV cell has been developed using MATLAB. simulation allows insolation be set for each module individually, which major advantage package. effects temperature on electrical characteristics were successfully investigated Results obtained from in good agreement...
The security and privacy of medical data are highly required when it involved in connecting with smart intelligent sensor devices the hospital ecosystem. Internet things is mutually integrated healthcare to produce effective working system but still needs better mechanism which can protect patient's privacy. This paper focusing by using image encryption techniques. In we applying three rounds high-speed scrambling as well pixel adaptive diffusion concept for shuffling random neighboring...
The heart of the current wireless communication systems (including 5G) is Fourier transform-based orthogonal frequency division multiplex (OFDM). Over time, a lot research has proposed wavelet OFDM as better replacement in physical layer solutions because its performance and ability to support network-intensive applications such Internet Things (IoT). In this paper, we weigh transform performances against future application system requirements propose guidelines approaches for 5G waveform...
The architecture and construction of a simple embedded web server system with due account its application for remote condition monitoring photovoltaic (PV) installation is presented. system, which based on PIC18 microcontroller, uses the Internet as medium communications between central control point PV system. It allows various parameters such temperature an individual module open-circuit voltage to be remotely accurately measured monitored. This permits early detection any technical...