Cybersecurity for Industry 5.0: trends and gaps

R Kour, R Karim, P Dersin, N Venkatesh - Frontiers in Computer …, 2024 - frontiersin.org
Industry 5.0 promises to revolutionize the industry by focusing on human-centric,
sustainability, and resilience empowered by emerging technologies such as Artificial …

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 …

Enhancing security and scalability of metaverse with blockchain-based consensus mechanisms

AS Rajawat, SB Goyal, A Goyal… - 2023 15th …, 2023 - ieeexplore.ieee.org
This study examines how blockchain technology and consensus mechanisms can
safeguard and grow the metaverse ecosystem. Blockchain is transparent and decentralized …

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 …

Efficient Approach for Detecting Cardiovascular Disease Using Machine Learning

D Pardeshi, P Rawat, A Raj… - Int. J. of Aquatic …, 2023 - journal-aquaticscience.com
Machine learning involves artificial intelligence, and it is used in solving many problems in
data science. One common application of machine learning is the prediction of an outcome …

Industry 5.0: Empowering Collaboration through Advanced Technological Approaches

YH Patil, RY Patil, MA Gurale… - Intelligent Systems and …, 2024 - taylorfrancis.com
The term “Industry 5.0” describes a new era in industrial production characterized by the
extensive implementation of front-line technologies that endorse harmonious association …

Live Stock Market Prediction Model Using Artificial Neural Network

K Khode, A Buwa, A Borole… - Int. J. of Aquatic …, 2023 - journal-aquaticscience.com
There are no accurate rules for estimating or auguring share prices, the share request is an
unorganized area for prognostications. There are several ways used to try and anticipate the …

Revolutionizing Consumer Behavior: the Impact of E-Commerce Websites

SM Upasani, RR Bhoi, PP Puri… - … Journal of Aquatic …, 2023 - journal-aquaticscience.com
The rise of e-commerce has revolutionized the way consumers shop, with more people
turning to online platforms for their purchasing needs. This research paper explores the …

First Copy Logo Detection System

S Ahire, S Gorhe, T Palod, A Khalkar… - Int. J. of Aquatic …, 2023 - journal-aquaticscience.com
In this paper we present a study of logo detection in images from a media agency. We
compare two most widely used methods-HOG and SIFT on a challenging dataset of images …

Sentiment Analysis-Emotion Recognition

AM Tambat, R Solanki… - Int. J. of Aquatic …, 2023 - journal-aquaticscience.com
One of the key elements of emotional computing in human-computer interaction is voice
communication. The aim of this research is to build and create a speech-based emotion …