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A Bibliometric and Co-Occurrence Analysis of Work-Life Balance
Work-life balance helps to maintain an attractive organizational culture and remove work-life conflicts and show the path to employees of how to be more efficient in different work roles. This balanced practice is giving a care...
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...
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...
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...
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 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...
Minimizing the Energy Consumption of WSN Using Noble SMOWA-GA Algorithm
In this paper, the authors have concentrated on the practical application of optimization problems related to the minimization of the energy consumption of WSN. Here a noble algorithm called Self-adaptive Multi-Objective...
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...
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...

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