Advanced Computing & Communication Technologies (ICACCTech), International Conference on
2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech)
16-17 Nov. 2024
Showing 1-25 of 148
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The proceedings of this conference will be available for purchase through Curran Associates.
65084 - ICACCTech, 2024 (PRT)
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Table of Contents
Organizing Committee
Program Committee: ICACCTech 2024
Sentiment Analysis: An In-Depth Review of Current Insights, Challenges, and Open Issues
Publication Year: 2024,Page(s):1 - 7
Sentiment analysis is a significant area of study that concentrates on gathering and examining people's attitudes, feelings, and views about various things, including goods, services, and themes. The approach has attracted interest to a large extent in several domains, such as NLP, assessment of social media, and evaluation of consumer feedback. Organizations, governments, and scholars can find an...Show More
This review paper explores the pivotal role of Explainable AI (XAI) within the domain of Artificial intelligence using machine learning and deep learning models. As deep learning is used more and more across various applications, its black-box nature often limits interpretability and trust in these models. XAI emerges as a crucial choice for addressing this challenge by elucidating complex neural ...Show More
Artificial Intelligence as a Tool for Graphic's Production Process
Publication Year: 2024,Page(s):16 - 21
The integration of machine learning to the visual design process is known as artificial intelligence (AI). By assisting or even replacing a designer totally, AI tools streamline design work. Graphics technology and artificial intelligence (AI) are revolutionizing their respective fields and playing a crucial role in modern technology. However, when both components are combined, they produce extrao...Show More
Real-Time Bus Driver Monitoring System Using Machine Learning
Anil Kadu;Rajnandini Dharashive;Rachit Nimje;Arya Rajvaidya;Sanket Palkar;Vijay Gaikwad
Publication Year: 2024,Page(s):22 - 29
In recent years, the importance of ensuring road safety has intensified, prompting the development of advanced driver monitoring systems. This paper presents a real-time bus driver monitoring system utilizing a Raspberry Pi, OpenCV, a RaspiCam and machine learning techniques. The system aims to enhance passenger safety by detecting driver fatigue and distraction, which are major contributors to ro...Show More
Automated Extraction of Company Names from Product Label Images: A Text Mining Approach
Gaurav Kholiya;Vimal Joshi;Sanyam Pandey;Sashank Thapa;Vikrant Sharma;Satvik Vats
Publication Year: 2024,Page(s):30 - 34
Nowadays, it is becoming more and more important to get information from various sources. One of the key details that provide us with information about the product is its name, which is prominently printed on it. In this study, we have introduced an autonomous text-mining technique to extract the company name from the images. For machine learning and natural language processing applications, this ...Show More
Dynamic Playlist Generation Using AI
Parth Awasthi;Bharti Sahu;Sarmista Rath;Vinit Mittal;Lavesh Bhardwaj
Publication Year: 2024,Page(s):35 - 39
AI-powered dynamic playlist generation serves as the basis for a new paradigm of music recommendation, which has taken the user experience of discovering and interacting with music to a completely different level. This article focuses on historical development, current state, and future prospects of music recommender systems based on AI, with a main emphasis on the process of dynamic playlists gen...Show More
Identifying Cross-Site Scripting Attacks Through Machine Learning
Publication Year: 2024,Page(s):40 - 46
In this paper, we thoroughly explore the effectiveness of four machine learning models-XGBoost, Naive Bayes, Sup-port Vector Machine (SVM), and Support Vector Machine (SVM) Decision Tree-in identifying Cross-Site Scripting (XSS) attacks. XSS attacks remain a critical vulnerability in web security, making the development of robust detection systems crucial. We applied these models to a dataset comp...Show More
Hindi Text-to-Image Generation: A Diverse Data Collection Methods, Annotation Approaches and Challenges
Publication Year: 2024,Page(s):47 - 55
The rapid development in the field of artificial intelligence reshapes industries and humankind every day-a remarkable evolution. The machines can think and make decisions because of the availability of a large amount of data. The advancements in technology and the ease with which internet users can generate vast amounts of data daily, the visual representation of the data has a high impact. Image...Show More
Implementation of Models for Demand Forecasting for e-Commerce using Time Series Forecasting
Narinder Yadav;Abhishek Roushan;Vatsala Singh;Neha Kumari;Diksha
Publication Year: 2024,Page(s):56 - 62
Cited by: Papers (1)
The study delves into the significance of demand forecasting within the e-commerce realm, crucial for businesses to anticipate future customer needs and optimize inventory management and resource allocation strategies. Focusing on employing time series forecasting methodologies, specifically XGBOOST and SARIMAX (Seasonal AutoRegressive Integrated Moving Average with exogenous factors) models, the ...Show More
Unveiling the Nature of Emotions: Human Emotions Vs Sentiment Analysis Using Natural Language Processing
Barnana Das;Kashish Jain;Gurminder Kaur;Aman Kumar;Naman Jain;Vishal Jain
Publication Year: 2024,Page(s):63 - 68
Sentiment Analysis is a method to recognize the emotional state of a being in any context or situation, often using Natural Language Processing (NLP) to analyze the text data, feedback, or reactions of a human's state of mind. It minimizes the gap between human expressions and machine interpretation, yet this process has certain challenges. Human languages and reactions are quite laborious and obs...Show More
Streamlining Talent Acquisition: A Machine Learning Approach to Automated Resume Screening
Priti Singla;Jaspreet Kaur;Anju;Aditya Soni;Aditya Tuteja;Sachin Sharma
Publication Year: 2024,Page(s):69 - 75
The paper presents an Automated Resume Screening System that leverages machine learning and natural language processing (NLP) to enhance the efficiency and objectivity of the recruitment process. Traditional resume screening methods are often labor-intensive and prone to bias, leading to suboptimal hiring decisions. This system addresses these challenges by automating the extraction and evaluation...Show More
Age and Gender Prediction from Facial Images Using Inception V3 Architecture
Publication Year: 2024,Page(s):76 - 83
This paper focuses on the identification of age and gender based on facial images using a deep learning model, namely InceptionV3. Based on the transfer learning principles, we retrained the last layer of InceptionV3 that was pre-trained for the ImageNet classification for improved differentiation of age and gender from the photos in the UTKFace dataset. They need to be trained and tested on a con...Show More
A Smart Prediction Model for Age and Gender from Facial Images Using CNN
Publication Year: 2024,Page(s):84 - 91
The identification of age and gender from facial images is also difficult because of the variations in lighting condition, different facial poses, the presence of occlusions, as well as the problem of imbalanced gender data set. Consequences of inaccurate prediction include the following: This could be observed in surveillance systems resulting in the failure of offering a productive and effective...Show More
Enhanced Video Mosaic Generation: Efficient ORB Feature Extraction and Hamming Distance Matching
Shridhar H;Sunil S. Harakannanavar;Chetan R;Vidyashree Kanabur;Jayalaxmi H;Prashanth C R
Publication Year: 2024,Page(s):92 - 97
Video mosaicing is a technique for creating expansive panoramic views by seamlessly combining multiple video frames. This paper introduces an innovative algorithm for video mosaic generation, emphasizing the alignment and blending of non-overlapping frames. The proposed algorithm utilizes the ORB feature extraction technique to effectively address challenges related to camera motion and content va...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
65084 - ICACCTech, 2024 (PRT)
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