A5103142179- Wind Energy Research and Development
- Brain Tumor Detection and Classification
- Meteorological Phenomena and Simulations
- Medical Image Segmentation Techniques
- Wind and Air Flow Studies
- Advanced Neural Network Applications
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Radiomics and Machine Learning in Medical Imaging
- Energy Load and Power Forecasting
- COVID-19 diagnosis using AI
- Distributed and Parallel Computing Systems
- Artificial Intelligence in Healthcare
- Traffic Prediction and Management Techniques
- Smart Parking Systems Research
- Social Robot Interaction and HRI
- AI in cancer detection
- Bariatric Surgery and Outcomes
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Advanced MRI Techniques and Applications
- Maternal and fetal healthcare
- Traffic control and management
- COVID-19 impact on air quality
- Sports Dynamics and Biomechanics
- South Asian Cinema and Culture
Manav Rachna International Institute of Research and Studies
2015-2025
Government Medical College
2025
Pondicherry Institute of Medical Sciences
2024
University of Michigan
2023
Guru Gobind Singh Medical College and Hospital
2023
Maulana Azad National Institute of Technology
2022
Symbiosis International University
2022
Indian Institute of Technology Delhi
2016-2021
University of California, San Francisco
2020
Vellore Institute of Technology University
2020
Purpose Accurate assessment of clinical performance is essential to ensure graduating residents are competent for unsupervised practice. The Accreditation Council Graduate Medical Education milestones framework the most widely used competency-based in United States. However, relationship between residents’ competency ratings and their subsequent early career outcomes has not been established. It important examine association U.S. general surgical those surgeons’ patient Method A...
This paper is regarding the comparison of two techniques; Clustering Large Applications (CLARA) clustering and K-Means using popular Iris dataset. CLARA are techniques "partitioning based" clustering. One considers medoids some random sample data to form a cluster whereas other centroid (means) dataset cluster. In this paper, Cluster plot, Silhouette plot Dunn Index on shown for both techniques. These all used "cluster validation". The "Silhouette Analysis" measurement an approximated...
Background: Shivering is a commonly encountered post-anesthesia event. Tramadol an easily available drug that often used to prevent shivering. However, its side effects like nausea have prompted the search for better dugs could shivering with minimal effects. Aims and Objectives: Our study aimed at comparing efficacy of tramadol, dexmedetomidine, dexamethasone in preventing post-spinal lower limb orthopedic surgeries. Materials Methods: A total 90 patients were enrolled this divided into...
The present research examines how advancements in technology can revolutionize the personnel (HR) industry. Innovative innovations are changing traditional HR procedures as businesses work to improve employee experiences and optimize worker management. article presents a summary of state workplace today highlights main obstacles that practitioners must overcome. It explores developments possibilities cutting-edge technologies for processes, including block chain, simulated augmented reality...
The standardised IT paradigm pools services together as an internet network is cloud computing. So, management of the load by providers at this point difficult and hence manifests existence balancing concept. aim proposed algorithm to enhance performance minimizing results, which includes Execution time, Makespan Processing Cost, maximizing throughput, using ABC Optimization. R code used execute algorithm, dataset processed Microsoft Excel 2007. In dataset, MIPS VMs range from 2000-9000...
Abstract. Wind turbines in a wind farm extract energy from the atmospheric flow and convert it into electricity, resulting localized momentum deficit wake that reduces availability for downwind turbines. Atmospheric convergence above, below, sides wakes replenishes lost momentum, at least partially, so deep inside can continue to function. In this study, we explore recovery processes hypothetical offshore with particular emphasis on comparing spatial patterns magnitudes of horizontal-...
Hadoop is a software framework which an open source that supports big (large datasets of) data in distributed environment. creates cluster of machines and coordinates the work among them. It has two major components HDFS Map Reduce. mainly designed to store large amount ie reliable also provide high availability user application running at client side. Multiple blocks are created by enable reliable, extreme rapid computation each duplicate block stored across number servers as pool. All...
Cloud computing has played an important role in Information technology. Computational and storage needs are fulfilled by cloud providers around the globe setting up data centers that involve thousands of servers (Xu, Li, Niu, & Zhao, 2012). Different users operate many virtual machines, leading to more energy utilization power consumption. This issue can be resolved concept load balancing; balancing is effective method for system works a distributed method. Load helps making technology...
Magnetic Resonance Imaging (MRI) is a diagnostic tool of remarkable potential in the area neuroscience and clinical neuroimaging. The accuracy can be limited by incompetence operating personnel, which supplemented machine learning algorithms for classification phys iology pathology. This paper uses effective information feature extraction, principal component analysis (PCA) reduction support vector (SVM) multi-sequence MR images 7 patients. All axial slices brain are classified into normal...
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature this pathology. Magnetic Reso- nance Imaging (MRI) is an established for various diseases disorders plays a major role in clinical neuro-diagnosis. Supplementing technique with automated classification tools gaining importance, reduce errors time needed make conclusive diagnosis. In paper simple three-step algorithm proposed; (1) identification patients that present tumors,...
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. (MR) more preferred than Computed Tomography (CT) due to the high resolution in MR images which help better neurological conditions. Graphical user interface (GUI) aided disease has become increasingly useful increasing workload doctors. In this proposed work, a novel two steps GUI technique brain tumor segmentation as well Brodmann area detec-tion segmented proposed. A data set T2...
Load balancing is one of the important concept cloud computing, which helps in making system stable by migrating task from overloaded virtual machine to under-loaded .There are various load techniques based on nature -inspired algorithms like genetic algorithm and ACO algorithm, has certain limitations. This paper presents survey honey bee foraging behavior for computing. There many advantages it over other nature-inspired algorithm. For instance, there a direct communication amongst bees...
MRI is a non-invasive technology that currently used for analyzing brain tumors, which can only conclusively be graded by invasive tissue extraction. Techniques like perfusion analysis of tumors are time taking, therefore, there increased focus towards automated computational techniques to segment and grade using standard MR sequences T1 T2 weighted images. These intensity based images not enough thus, in clinical practice. This work automates tumor segmentation without the use templates...
Abstract Background: Placenta previa, characterized by the implantation of placenta in lower uterine segment close to or over internal os, is a significant obstetric condition associated with maternal morbidity and mortality. This study aimed compare risk factors outcomes women low-lying (LLP) true previa (TPP) based on revised classification Indian context. Materials Methods: A retrospective was conducted patients diagnosed traditional at tertiary care hospital Vellore, India, between...
Group activity detection is a crucial task for an automated analysis of human actions in many environments, such as surveillance or sport footage. recognition focuses on identifying the activities one more individuals through sequence observations conduct individuals. Numerous approaches have been proposed same using deep learning neural networks. In this paper, we focus graphical convolutional network (GCN) which uses graphs inputs, aggregate vectors aggregation functions and attempt to...
Availability of safe drinking water is a prerequisite for survival and safeguard against various water-borne diseases. The study was carried out with an aim to check the efficacy purifier systems by assessing bacteriological physico-chemical parameters (temperature, turbidity, pH, TDS, chloride, total hardness, dissolved oxygen, free CO2) in industrial RO samples from outlets at Maitreyi College household filtered two residential areas (Satya Niketan Geeta Colony) located Delhi, India....
The urban population has expanded at an unforeseeable rate which a direct impact on the daily commutation in cities. primary traffic problem emerges due to increase number of commuters. IoT is highly critical technology for improving overall infrastructure city. This could include various features such as monitoring parking spots towns, installing sound sensing and devices different cities, levels. Internet Things (IoT) network physical that may be uniquely addressed identified with varying...