Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3
Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3
Blockchain-Enabled Federated Learning on Kubernetes for Air Quality Prediction Applications
Volume-3 | Issue-3
Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4
Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique
Volume-3 | Issue-3
Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4
QoS-aware Virtual Machine (VM) for Optimal Resource Utilization and Energy Conservation
Volume-3 | Issue-3
Probabilistic Neural Network based Managing Algorithm for Building Automation System
Volume-3 | Issue-4
Fusion based Feature Extraction Analysis of ECG Signal Interpretation - A Systematic Approach
Volume-3 | Issue-1
Multi-scale CNN Approach for Accurate Detection of Underwater Static Fish Image
Volume-3 | Issue-3
Real Time Anomaly Detection Techniques Using PySpark Frame Work
Volume-2 | Issue-1
Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3
Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4
Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3
Audio Tagging Using CNN Based Audio Neural Networks for Massive Data Processing
Volume-3 | Issue-4
Frontiers of AI beyond 2030: Novel Perspectives
Volume-4 | Issue-4
Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4
Early Stage Detection of Crack in Glasses by Hybrid CNN Transformation Approach
Volume-3 | Issue-4
ARTIFICIAL INTELLIGENCE APPLICATION IN SMART WAREHOUSING ENVIRONMENT FOR AUTOMATED LOGISTICS
Volume-1 | Issue-2
Deep Convolution Neural Network Model for Credit-Card Fraud Detection and Alert
Volume-3 | Issue-2
Volume - 2 | Issue - 4 | december 2020
Published
08 February, 2021
Many private companies in India offered working from home (WFH) for employees due to COVID'19 lockdown. The WFH has both merits and demerits for the employees as well as employer when it compared within office working environment. Many research works is showing many opinions about increases or decreases of productivity in the real time for any industries. This works talks about WFH impression is leads to edge nearer for the efficient productivity to any employer. In addition, the research article is providing survey of the benefits and demerits of WFH in India. In the view of the higher capacity, ultra very low level inactivity for better security is in the internetwork domain, there are lots of benefits in telework, and internet based work. The predicting development is done by Random Forest, Decision Tree, and Naïve Bayes for future with the help of three datasets. The datasets has taken from three types of general public such as city, town, and village for this research analysis. This research article is weighing up the rate of changes of productivity from the employees. Finally, this research work compares the learning method analysis includes prediction of rate of change of productivity from employees at city region. This prediction is computed by ML algorithm. Based on this prediction employers can improve and plan for their production and control the system in a better way.
KeywordsMachine learning prediction
Full Article PDF Download Article PDF