Vinay Anand Tikkiwal
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View article: Simulation-Based Sensitivity Analysis of GaAs/GaSb Heterojunction Polarity-Controlled TFET for Biosensing Applications
Simulation-Based Sensitivity Analysis of GaAs/GaSb Heterojunction Polarity-Controlled TFET for Biosensing Applications Open
View article: Analysing Forecasting of Stock Prices: An Explainable AI Approach
Analysing Forecasting of Stock Prices: An Explainable AI Approach Open
Predicting stock prices is a well-known and significant problem. We can learn about market behaviour over time and identify trends that might not have been seen without an effective stock prediction model. Machine learning will be a useful…
View article: Exploring Twitter Sentiments for Predicting Match Outcomes in The Game of Cricket
Exploring Twitter Sentiments for Predicting Match Outcomes in The Game of Cricket Open
View article: Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence
Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence Open
Aerosols play a crucial role in the climate system due to direct and indirect effects, such as scattering and absorbing radiant energy. They also have adverse effects on visibility and human health. Humans are exposed to fine PM2.5, which …
View article: Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore
Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore Open
Data and code used in the study.
View article: Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore
Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore Open
Data and code used in the study.
View article: Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore
Multi-horizon forecasting of average daily PM2.5 concentration using LSTM: A case study of air pollution in Singapore Open
Data and code used in the study.
View article: Forecasting Directional Movement of Stock Prices using Deep Learning
Forecasting Directional Movement of Stock Prices using Deep Learning Open
View article: Multi-objective optimisation of a grid-connected hybrid PV-battery system considering battery degradation
Multi-objective optimisation of a grid-connected hybrid PV-battery system considering battery degradation Open
Variable nature of solar energy leads to inconsistent performance of photovoltaic systems. Integration of photovoltaic systems with storage and grid mitigates variability issues and helps maximise self-consumption. This work presents a des…
View article: Stance detection using improved whale optimization algorithm
Stance detection using improved whale optimization algorithm Open
News is a medium that notifies people about the events that had happened worldwide. The menace of fake news on online platforms is on the rise which may lead to unwanted events. The majority of fake news is spread through social media plat…
View article: A comprehensive study of spam detection in e-mails using bio-inspired optimization techniques
A comprehensive study of spam detection in e-mails using bio-inspired optimization techniques Open
Electronic mail is a medium of communication used frequently for conveying a variety of information. It has become an integral part of people's lives owing to its ease of access and capability to reach out to a large number of recepients w…
View article: ICACCCN 2020 TOC
ICACCCN 2020 TOC Open
View article: Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach
Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach Open
View article: Adaptive neuro-fuzzy approach for prediction of global solar radiation for twenty five cities falling under seven K
Adaptive neuro-fuzzy approach for prediction of global solar radiation for twenty five cities falling under seven K Open
View article: Multi-step ahead forecasting of global solar radiation for arid zones using deep learning
Multi-step ahead forecasting of global solar radiation for arid zones using deep learning Open
Solar irradiance is fluctuating and intermittent in nature. In order to optimally harness solar energy, this variability needs to be accounted for. Forecasting solar radiation proves to be helpful in optimal design, and operation of solar-…
View article: Design of A Recurrent Neural Network Model for Machine Reading Comprehension
Design of A Recurrent Neural Network Model for Machine Reading Comprehension Open
Reading paragraphs, understanding the related questions and answering them has always been a difficult task for the machines. Humans have the capability to understand the logic and meaning of a question and answer it to maintain a proper m…
View article: Stock Closing Price Prediction using Machine Learning Techniques
Stock Closing Price Prediction using Machine Learning Techniques Open
Accurate prediction of stock market returns is a very challenging task due to volatile and non-linear nature of the financial stock markets. With the introduction of artificial intelligence and increased computational capabilities, program…