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Machine Learning-Based Academic Result Prediction System
Students' academic performance is a critical issue as it decides his/her career. It is pivotal for the educational institutes to track the performance record because it can help to enhance the standard of their quality...
Analyzing Evolution Patterns of Object-Oriented Metrics
Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software...
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports
Software practitioners often strive to achieve a “bug-free” software, though, it is a myth. Software Bug Categorization (SBC) models, which assigns levels (viz. “low”, “moderate” or “high”) to a software bug aid effective bug...
Integrated Regression Approach for Prediction of Solar Irradiance Based on Multiple Weather Factors
Solar irradiance is the most vital aspect in estimating the solar energy collection at any location. Renewable energy setup at any location is dependent on it and other ambient weather parameters. However, it is hard to predict...
Medical students consulting from home
INTRODUCTION: Lockdowns during the COVID-19 pandemic had a disruptive effect on medical education when they prevented medical students accessing real patients. To address this, we piloted 35 medical students at home consulting...
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An Efficient Trajectory Representative Generation Moving Web-Based Data Prediction Using Different Clustering Algorithms
This paper highlighted moving and trajectory object cluster (MOTRACLUS) algorithm and analyzed the sub-trajectories and real-trajectories algorithm for moving web-based data and suggested a new approach of moving elements. This...
Machine Learning-Based Electricity Load Forecast for the Agriculture Sector
A large section of the population has a source of income from the agriculture sector, but their share in the Indian GDP is low. Thus, there is a need to forecast energy to improve and increase productivity. The main sources of...
Adaptive Active Contour Model for Brain Tumor Segmentation
For accurately diagnosing the severity of brain tumors in MRI images, Glioma segmentation is a significant step. The Glioma segmentation is due to noise and weak edges of organs in medical images. The geodesic active contour...
Reliability of digital ulcer definitions as proposed by the UK Scleroderma Study Group

Introduction: The reliability of clinician grading of systemic sclerosis-related digital ulcers has been reported to be poor to moderate at best, which has important implications for clinical trial design. The aim of this...

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Reliability of digital ulcer definitions as proposed by the UK Scleroderma Study Group

Introduction: The reliability of clinician grading of systemic sclerosis-related digital ulcers has been reported to be poor to moderate at best, which has important implications for clinical trial design. The aim of this...

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EEG-Based Demarcation of Yogic and Non-Yogic Sleep Patterns Using Power Spectral Analysis
Electroencephalogram (EEG) signals resulting from recordings of polysomnography play a significant role in determining the changes in physiology and behavior during sleep. This study aims at demarcating the sleep patterns of...
Transmission history of SARS-CoV-2 in humans and white-tailed deer.
The emergence of a novel pathogen in a susceptible population can cause rapid spread of infection. High prevalence of SARS-CoV-2 infection in white-tailed deer (Odocoileus virginianus) has been reported in multiple locations...
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