Artificial Intelligence, Smart Contracts, and the Groundbreaking Potential of Blockchain technology: Unlock the Next Generation of Innovation

K Upreti, M Haque, P Vats, VV Kumar… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The blockchain technology consists of blocks and is a decentralized network of nodes
(miners). Each block is made up of three parts: the data, the hash, and the hash from the …

Towards Intelligent Governance: The Role of AI in Policymaking and Decision Support for E-Governance

A Arora, M Gupta, S Mehmi, T Khanna… - World Conference on …, 2023 - Springer
This paper examines the role of artificial intelligence (AI) in policymaking and decision
support for e-governance. With the increasing digitization of government services and the …

Decentralized Ledger Systems with Blockchain Technology: Benefits, Challenges, and Applications

AP Singh, D Jain, P Vats, D Chaudhary… - … on Advances in …, 2023 - ieeexplore.ieee.org
A decentralized network of nodes (miners) is used by blockchain technology, which is made
up of blocks. There are three components to each block: data, hash, and prior block's hash. It …

A systematic review for the fatigue driving behavior recognition method

J Hou, Y Xu, W He, Y Zhong, D Zhao… - Journal of Intelligent …, 2024 - content.iospress.com
Fatigue driving is one of the primary causative factors of road accidents. It is of great
significance to discern, identify and warn drivers in time for traffic safety and reduce traffic …

Analysis and Comparison of Posture Detection Using Deep Learning Algorithm

S Singhai, P Gautam, JS Kushwah… - … , Networks and Computing, 2022 - Springer
Human posture detection is the latest topic in the research field and lots of research has
been done on this topic. For research, posture detection can be used in many situations, like …

A Novel Architecture for a Medical Image Recognition System Using Deep Learning-Based Multiple Regression Evaluation

J Parashar, K Upreti, I Fatima, D Gangwar… - … Conference on Smart …, 2023 - Springer
Abstract Models based on machine learning are optimization models that collect data,
assess it, and deliver the reports required by specialists and management to make the best …

Image Recognition System Using Deep Learning-Based Multiple Regression

J Parashar, K Upreti, I Fatima, D Gangwar… - Intelligent System and … - books.google.com
Abstract Models based on machine learning are optimization models that collect data,
assess it, and deliver the reports required by specialists and management to make the best …

[PDF][PDF] Comparative Analysis of Parameters using Regression Supervised Machine Learning on Dataset

S Shrivastava, JS Kushwah, A Vidyarthi - 2023 - academia.edu
Machine learning Calculations can provide logic for how to accomplish important jobs by
adding up examples. The goal of this study is to contrast several machine learning …

The Study of Swarm Intelligence Technique: A Review.

M Singh, JS Kushwah, Y Rathore… - … of Engineering & …, 2024 - search.ebscohost.com
This comprehensive review delves into the realm of swarm intelligence techniques, offering
an in-depth analysis of their principles, diverse applications, and recent advancements. The …

[PDF][PDF] A Review of IoT Security, Requirements and Features

D Gupta, A Vidyarthi, JS Kushwah - 2023 - academia.edu
Today, technology has taken on a significant role in our lives. Additionally, Through a
combination of technologies, the Internet of Things (IoT) is represented at the system level in …