Machine Learning Techniques for Analysis of Mars Weather Data

P Pant, AS Rajawat, SB Goyal… - 2023 15th …, 2023 - ieeexplore.ieee.org
The exploration of Mars has provided vast amounts of weather data that present unique
challenges for analysis and prediction. To address these challenges, this research paper …

AI based technologies for international space station and space data

P Pant, AS Rajawat, SB Goyal… - … on System Modeling …, 2022 - ieeexplore.ieee.org
Billions of galaxies, stars, solar systems, planets, and other undiscovered mysterious objects
are present in the continuously expanding space. Humans took a giant step forward when …

Authentication and authorization in modern web apps for data security using Nodejs and role of dark web

P Pant, AS Rajawat, SB Goyal, P Bedi, C Verma… - Procedia Computer …, 2022 - Elsevier
Authentication and Authorization are the base of security for all the Technologies present in
this world today. Starting from your smartphone where a user authenticates himself before …

Using machine learning for Industry 5.0 efficiency prediction based on security and proposing models to enhance efficiency

P Pant, AS Rajawat, SB Goyal, D Singh… - … on System Modeling …, 2022 - ieeexplore.ieee.org
Machine learning, with its huge untapped potential, is being researched all over the world to
develop truly intelligent systems. Its applications are not enclosed in just one domain but in …

Machine learning–based approach to predict ice meltdown in glaciers due to climate change and solutions

P Pant, AS Rajawat, SB Goyal, P Chakrabarti… - … Science and Pollution …, 2023 - Springer
The fate of humankind and all other life forms on earth is threatened by a foe, known as
climate change. All parts of the world are affected directly or indirectly by this phenomenon …

A secured blockchain method for multivariate industrial IoT-oriented infrastructure based on deep residual squeeze and excitation network with single candidate …

JM Raj, SS Ranjani - Internet of Things, 2023 - Elsevier
IoT infrastructures have been growing in recent years across a variety of industrial
applications in sustainable smart cities and communities, including smart manufacturing and …

Analysis assaulting pattern for the security problem monitoring in 5G‐enabled sensor network systems with big data environment using artificial intelligence/machine …

AS Rajawat, SB Goyal, P Bedi, S Kautish… - IET Wireless Sensor …, 2024 - Wiley Online Library
The 5G‐enabled sensor network systems make it possible to connect cyber and real 'things'
in many ways. Even so, the flow of data between 5G‐enabled sensor devices brings big …

Feature correlated auto encoder method for industrial 4.0 process inspection using computer vision and machine learning

P Bedi, SB Goyal, AS Rajawat, P Bhaladhare… - Procedia Computer …, 2023 - Elsevier
From the perspective of the Industry 4.0 paradigm, the machine learning (ML) discipline has
had a significant influence on the manufacturing sector. The industry 4.0 concept promotes …

[PDF][PDF] AI-Driven Industry 4.0: Advancing Quality Control through Cutting-Edge Image Processing for Automated Defect Detection

M Arora - International Journal of Computer Science and Mobile …, 2023 - academia.edu
In the age of Industry 4.0, cutting-edge technology is revolutionizing manufacturing
processes, with quality control playing a critical role in ensuring product reliability and …

Analysis of recent IIoT security technology trends in a smart factory environment

J Kim, J Park, JH Lee - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Recently, the manufacturing industry is changing into a smart manufacturing era with the
development of 5G, artificial intelligence, and cloud computing technologies. As a result …