International Journal of Engineering Applied Science and Management

ISSN (Online): 2582-6948


Notice Board :

Call for Paper
Vol. 5 Issue 10

Submission Start Date:
Oct 01, 2024

Acceptence Notification Start:
Oct 10, 2024

Submission End:
Oct 25, 2024

Final MenuScript Due:
Oct 30, 2024

Publication Date:
Oct 30, 2024
                         Notice Board: Call for PaperVol. 5 Issue 10      Submission Start Date: Oct 01, 2024      Acceptence Notification Start: Oct 10, 2024      Submission End: Oct 25, 2024      Final MenuScript Due: Oct 30, 2024      Publication Date: Oct 30, 2024




Volume IV Issue III

Paper Title
Indian Road Traffic Sign Detection and Recognition Using Convolutional Neural Network (CNN)
Author Name
Gyana Chopra, Rishi Kushwaha
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 3
Abstract
For the development of intelligent system detection and recognition of traffic sign is very crucial. We proposed an algorithm for enhancing the traffic sign detection and recognition that address the problems such as such as how easily affected traditional traffic sign detection is by the environment, and poor real-time performance of deep learning-based methodologies for traffic sign recognition. In this paper, we use convolutional neural network and pickle file model for the recognition of traffic sign. For the analysis of image dataset, it is taken from the GSTRB (German Traffic Sign Recognition Benchmark) which comprises 51,839 images and it is divided into training and testing sets. The experimental results of proposed methodology generate the accuracy about 99% for each traffic sign, which is much better than the existing traffic sign recognition system. This improvement is of considerable importance to reduce the accident rate and enhance the road traffic safety situat
PaperID
2023/IJEASM/4/2023/1811

Paper Title
Study of Answer Generation Using Proposed Optimised Deep Belief Network with LAGWO Using Deep Learning Technique of Artificial Intelligence
Author Name
K. Sridhar, Amit Singla
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 3
Abstract
This research paper delves into the cutting-edge domain of answer generation by introducing an innovative approach leveraging a proposed Optimized Deep Belief Network (ODBN) in conjunction with the recently developed Learning Automata Grey Wolf Optimizer (LA-GWO) within the framework of deep learning techniques in artificial intelligence. The primary objective is to explore the potential enhancements in answer quality, relevance, and efficiency through the synergistic application of these advanced technologies. The proposed ODBN-LA-GWO model represents a novel synthesis of deep learning architectures and optimization algorithms, tailored specifically for the nuanced task of answer generation in natural language processing. This hybrid model not only integrates the expressive power of deep belief networks but also harnesses the adaptive optimization capabilities of LA-GWO, providing a unique and promising solution to the challenges inherent in generating coherent and contextually releva
PaperID
2023/IJEASM/4/2023/1811a

Paper Title
A New Approach to Solving Intrusion Detection through an Optimal Metaheuristic Method: The Constrained Crow Search Algorithm (CCSA)
Author Name
Khusbu Rai, Megha Kamble
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 3
Abstract
Several researchers are interested in optimization algorithms because of its heuristic and meta-heuristic nature to determine the optimized solution to solve complex optimization problems. The proposed algorithm is designed to explore the global search space in an efficient manner, while also taking into account the constraints of the problem. It uses a combination of local search and global search techniques to identify the optimal solution. The algorithm also incorporates a memory-based approach to store and recall previously explored solutions, allowing it to quickly identify promising solutions with high dimensionality. In this proposed work, we must obtain an enhanced Crow Search Algorithm in order to improve its global optimization for Optimal Selection is a modern meta-heuristic algorithm based on crow intelligence. The results of the experiments show that the feature subset obtained by Constrained Crow Search Algorithm (CCSA) has higher classification accuracy than other featur
PaperID
2023/IJEASM/4/2023/1812

Paper Title
Women Empowerment in Rural Area through Banking Services: The Impact of Financial Inclusion
Author Name
Sunil Sharma
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 3
Abstract
Despite making up half of the population, there is status discrimination when it comes to birth, education, health, employment rights, and pay. In India, women's empowerment has made remarkable strides during the previous ten years. In spite of the fact that women make up about half of the population in India, we still see that they lack power there. Accelerating economic progress requires empowering the female population. However, a 2018 assessment by the World Economic Forum placed India 139th out of 144 nations in terms of economic participation, with a 66% gender gap. One factor contributing to this coming gap is the nation's general lack of financial inclusion, particularly in rural areas.. The process of enabling women to make their own decisions for their own good is known as "women empowerment." One of the key factors influencing a woman's decision is her financial stability and financial awareness. This essay makes an argument for the significance of financial inclusion, Finan
PaperID
2023/IJEASM/4/2023/1812a