[HTML][HTML] Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues

SA Ajagbe, P Mudali, MO Adigun - Electronics, 2024 - mdpi.com
Technological advancements for diverse aspects of life have been made possible by the
swift development and application of Internet of Things (IoT) based technologies. IoT …

A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction

N Tripathy, SK Nayak, S Prusty - Frontiers in Blockchain, 2024 - frontiersin.org
These days, there is a lot of demand for cryptocurrencies, and investors are essentially
investing in them. The fact that there are already over 6,000 cryptocurrencies in use …

Empirical forecasting analysis of bitcoin prices: A comparison of machine learning, deep learning, and ensemble learning models

N Tripathy, S Hota, D Mishra, P Satapathy… - International journal of …, 2024 - hrcak.srce.hr
Sažetak Bitcoin has drawn a lot of interest recently as a possible high-earning investment.
There are significant financial risks associated with its erratic price volatility. Therefore …

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting

R Li, M Jiang, K Wang, K Feng, Q Liu, Y Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Time Series Forecasting plays a crucial role in various fields such as industrial equipment
maintenance, meteorology, energy consumption, traffic flow and financial investment …

[PDF][PDF] Cryptocurrency fraud detection through classification techniques

N Tripathy, SK Balabantaray, S Parida… - International Journal of …, 2024 - academia.edu
Since cryptocurrencies were first introduced ten years ago and have become widely used as
a substitute for conventional payment methods, their user base has grown exponentially …

A Comparative Analysis of Diabetes Prediction Using Machine Learning and Deep Learning Algorithms in Healthcare

N Tripathy, B Moharana… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Hyperglycemia that persists is a concern with diabetes mellitus. As a result, there may be
several complications. According to current morbidity rates, 642 million people will have …

Performance Analysis of Deep Neural Network and Machine Learning Algorithms for Diabetes Prediction

N Tripathy, GC Das, S Hota, SK Navak… - … Intelligence in Health …, 2023 - ieeexplore.ieee.org
Diabetes mellitus has an issue called chronic hyperglycaemia. It might lead to a lot of
problems. According to present rates of morbidity, it is expected to be 642 million diabetic …

[PDF][PDF] A Comparative Analysis of Cryptocurrency Exchange Rate Prediction using Deep Learning Techniques

N Tripathy, SK Balabantaray, S Parida, SK Nayak - 2023 - researchgate.net
In our country, among the largest financial markets is the Foreign Exchange (FOREX)
market. Banks, retail traders, businesses, and people transact over 5.1 trillion dollars or …