- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- COVID-19 Clinical Research Studies
- Advanced Image and Video Retrieval Techniques
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Long-Term Effects of COVID-19
- Remote Sensing and Land Use
- Video Surveillance and Tracking Methods
- SARS-CoV-2 and COVID-19 Research
- Infective Endocarditis Diagnosis and Management
- Intensive Care Unit Cognitive Disorders
- Respiratory Support and Mechanisms
- Currency Recognition and Detection
- Energy Efficient Wireless Sensor Networks
- Geochemistry and Geologic Mapping
- Land Use and Ecosystem Services
- Natural Fiber Reinforced Composites
- Mobile Ad Hoc Networks
- Remote Sensing and LiDAR Applications
- Diabetes Treatment and Management
- Opportunistic and Delay-Tolerant Networks
- Advanced Data Compression Techniques
Indian Institute of Information Technology Allahabad
2025
Manipal Academy of Higher Education
2021-2024
Sri Jayadeva Institute of Cardiovascular Sciences and Research
2012-2023
Sri Ramachandra Institute of Higher Education and Research
2023
Almas Hospital
2020-2021
National Institute of Technology Karnataka
2016-2020
National Remote Sensing Centre
2019
Jawaharlal Nehru Technological University, Hyderabad
2019
Hindustan Institute of Technology and Science
2012
Midas Multispeciality Hospital
2005
Artificial Intelligence (AI) is a rapidly evolving field that aims to create systems capable of performing tasks typically require human intelligence. These include learning, reasoning, problem-solving, perception, and language understanding. AI categorized into narrow AI, which designed for specific like speech recognition image processing, general aspires replicate cognitive abilities across various domains. technologies, including machine deep natural have significantly impacted...
Abstract Artificial intelligence has become a pivotal force in the 21st-century information technology landscape, driving significant advancements various fields. As AI continues to evolve, its capacity understand and analyze human emotions behaviors through machine learning reached new height. In practical applications, it is essential intelligently capture emotional information. Current research methods for studying can be broadly classified into artificial learning. Predominantly, emotion...
Owing to the increased demand for satellite images various practical applications, use of proper enhancement methods are inevitable. Visual such mainly focuses on improving contrast scene procured, conserving its naturalness with minimum image artifacts. Last one decade traced an extensive metaheuristic approaches automatic processes. In this paper, a robust and novel adaptive Cuckoo search based Enhancement algorithm is proposed images. The includes chaotic initialization phase, Lévy flight...
Satellite image denoising is essential for enhancing the visual quality of images and facilitating further processing analysis tasks. Designing self-tunable 2-D finite-impulse response (FIR) filters attracted researchers to explore its usefulness in various domains. Furthermore, FIR Wiener which estimate desired signal using statistical parameters became a standard method employed restoration applications. In this paper, we propose filter driven by adaptive cuckoo search (ACS) algorithm...
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Artificial intelligence and computer vision have widespread applications in workout analysis. It has been extensively used sports the athlete industry to identify errors improve performance. Furthermore, these methods prevent injuries caused by a lack of instructors or costly infrastructure. One such exercise is squat, which movement standing person descends posture with their torso vertical knees firmly bent, then returns original upright position. Each person's squat distinct, varying limb...
Multi-spectral satellite imagery is an ideal data source for comprehensive, real-time Earth observation (EO) due to its extensive coverage of and regular updates. It has a wide range applications in environment monitoring, disaster management, urban planning, weather forecasting etc. Yet, the visual aspect these images thus possibility extract useful information using image processing techniques often degraded fog, rain, dust, cloud, Satellite enhancement denotes set designed improve quality...
Land Surface Temperature (LST) can be calculated through a thermal infrared remote sensing data.It record the apparent temperature of Earth's surface by measuring radiant energy exiting its surface.With advent satellite images and digital image processing software, now it is possible to calculate LST.In this study, LST for Devikulam taluk was derived using Single Window algorithm (SW) with use Thermal Infrared Sensor (TIRS) data 100m resolution.Emissivity help NDVI proportion vegetation...
In the recent years, researchers are quite much attracted in designing two-dimensional (2-D) adaptive finite-impulse response (FIR) filters driven by an optimization algorithm to self-adjust filter coefficients, with applications different domains of research. For signal processing applications, FIR Wiener commonly used for noisy restorations computing statistical estimates unknown signal. this paper, a novel 2-D Cuckoo search filtering (2D-CSAWF) is proposed denoising satellite images...
The work aims to prepare and characterize polyester nanoclay nanocomposite (PNNCs) with various weight percentages (0, 2, 4). Nanoclay resin are blended using a mechanical stirrer followed by sonicator. blend is molded as specimens per ASTM standards. addition of improved tensile strength 12% 16% flexural 4% 10%. After 60 days soaking in, the retention rate pure PE, 2PNNC, 4PNNC 84.9%, 89.8%, 90.6%, respectively. At same time, rates 86.7%, 90.2%, 91.9%, SEM images analyzed know reasons for...
Objective: Cardiopulmonary bypass (CPB) initiated with high oxygen levels may expose cyanotic children to reoxygenation injury. The ideal method of initiation prevent this phenomenon still remains largely unproven. This study tested the hypothesis that controlling oxygenation during CPB improves early postoperative outcomes. Methods: Thirty-one were randomized two treatment arms study. In group A (intervention), was fraction inspired (Fio 2 ) 0.21, and after one minute full bypass, Fio...
Multi-modal image fusion has gained popularity in the medical field as it assists doctors to view diverse modalities a single image. The treatment is effectively planned by looking into fused that helps diagnose diseases. aims merge texture features from multiple images proposed method includes application of Adaptive window-based Non-Subsampled Shearlet Transform (ANSST) on source separate low and high-frequency directional sub-bands. Further, an enhanced JAYA (EJAYA) optimization framework...
Haze is a common atmospheric disturbance that adversely affects the quality of optical data, thus often restricting their usability. Since these effects are inherent in process spaceborne Earth sensing, it important to develop effective methods remove them. This work proposes novel method for de-hazing satellite imagery and outdoor camera images. It developed by modifying transmission map used Dark Channel Prior (DCP) method. A Weighted Variance Guided Filter (WVGF) introduced enhancing...