The future with industry 4.0 at the core of society 5.0: Open issues, future opportunities and challenges

MM Nair, AK Tyagi, N Sreenath - 2021 international conference …, 2021 - ieeexplore.ieee.org
Developing technologies, advancement in science, evolving globalized perspectives and
the massive dependence on digital platform for a routine sustenance has led to the core …

Machine learning and deep learning: Open issues and future research directions for the next 10 years

A Pramod, HS Naicker, AK Tyagi - Computational analysis and …, 2021 - Wiley Online Library
With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

The future with advanced analytics: a sequential analysis of the disruptive technology's scope

R Varsha, SM Nair, AK Tyagi, SU Aswathy… - … Intelligent Systems: 20th …, 2021 - Springer
Today every application like e-healthcare, agriculture, etc., is connected through smart
devices to reduce workforce and enhance productivity. Many applications like defences …

A novel approach to predict chronic kidney disease using machine learning algorithms

B Gudeti, S Mishra, S Malik… - 2020 4th …, 2020 - ieeexplore.ieee.org
A staggering 63,538 cases have been registered according to India's health statistics on
Chronic Kidney Disease (CKD). The average age of nephropathy for humans lies between …

Artificial intelligence based approach for classification of human activities using MEMS sensors data

YA Khan, S Imaduddin, YP Singh, M Wajid, M Usman… - Sensors, 2023 - mdpi.com
The integration of Micro Electronic Mechanical Systems (MEMS) sensor technology in
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …

A Look at Top 35 Problems in the Computer Science Field for the Next Decade

D Goyal, AK Tyagi - ICT for Competitive Strategies, 2020 - taylorfrancis.com
Due to rapid enhancement in technology, several problems have been raised in computer
science (in the previous decade) like Class imbalance problem, duplicity of data in cloud …

Prediction of pesticides and fertilizers using machine learning and Internet of Things

L Kanuru, AK Tyagi, SU Aswathy… - 2021 International …, 2021 - ieeexplore.ieee.org
According to the Agricultural Census of India, 64.5% of the population is affiliated to
agriculture and yields around 16-17% of the country's GDP. Agriculture is the backbone of …

[PDF][PDF] Integrating blockchain technology and artificial intelligence: Synergies perspectives challenges and research directions

AK Tyagi, SU Aswathy, A Abraham - Journal of Information …, 2020 - softcomputing.net
Have you seen a future when Blockchain technology is integrated with Machine Learning
(ML) or Artificial Intelligence (AI)? In general, Artificial Intelligence (AI) contains everything …

Architecture, generative model, and deep reinforcement learning for IoT applications: Deep learning perspective

S Malik, AK Tyagi, S Mahajan - Artificial Intelligence-based Internet of …, 2022 - Springer
Deep learning is a subclass of machine learning. In the last few years, this has come to
prominence with the core availability of GPUs for computing. There are many applications in …