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BrowseConferences >2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
Volume 10 • Dec.-2023
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A Brief Survey On Dataset And Method Used For Sign Language Detection
Publication Year: 2023,Page(s):1 - 5
Although speech is still a most common form of communication some people have difficulty in listening and speaking. For people with such disabilities, communication poses a big barrier. To solve this issue researcher have been trying to build state of art machine learning and deep learning model so that those people with disabilities can communicate easily, in such a context most of the researcher...Show More
Prediction of Stock Price Market Using News Sentiments By Machine Learning
Ritesh Kumar Shukla;Suruchi Talwani;Manik Rakhra;Gaurav Dhiman;Arun Singh
Publication Year: 2023,Page(s):6 - 10
Cited by: Papers (1)
Stock price forecasting is one of the most researched topics because it appeals to both the academic and commercial communities. Since the development of artificial intelligence, a great number of different algorithms have been put to use to forecast the movement of the stock market. To get a knowledge of stocks over the long term or to forecast the start price of a stock for the very next trading...Show More
Improved Diagnosis Accuracy Using Machine Learning for Plant Diseases
Manik Rakhra;Dalwinder Singh;Arun Singh;Vikrant Sharma;S Dhakshinesh;MD Khadimul Islam Zim;Puneet Thapar;Baljinder Kaur;Harpreet Singh
Publication Year: 2023,Page(s):11 - 16
Cited by: Papers (1)
In agricultural fields, leaf diseases are a prevalent problem, and they often result in significant crop losses. The early discovery of leaf diseases is critical for reducing the amount of crop damage caused by the disease and preventing its further spread. Deep learning methods, such as convolutional neural networks (CNN), have shown a lot of potential in recent years for accurately diagnosing le...Show More
Text Recognition in Images and Converting Recognized Text to Speech – Image Processing
Yadwinder Singh;Vikrant Sharma;Arun Singh;Shruti;Manik Rakhra;Prerna Singh;Desu Yadidya;Dalwinder Singh;Vikas Verma;Adwit Singh
Publication Year: 2023,Page(s):17 - 20
Cited by: Papers (1)
This review article provides an overview of recent advancements in image-based text recognition and converting recognized text to speech using image processing techniques. The article covers various techniques for text recognition in images, including Optical Character Recognition, Convolutional Neural Networks (CNN), and Recurrent Neural Networks. Additionally, the process of converting recognize...Show More
A Systematic Analysis of Machine Learning Algorithms for Cloud DDoS Attack Detection
Publication Year: 2023,Page(s):21 - 29
Computing in the cloud is a relatively recent innovation that involves sending data processing jobs to third-party service providers through the Internet. Cloud computing comes with several benefits, such as reduced overhead costs, expandable capabilities, and changeable pricing. However, there are several concerns about the cloud's level of security. DDoS assaults, also known as distributed denia...Show More
The Role of Artificial Intelligence (AI) in the Accounting and Auditing Professions
Harshdeep Kaur;Geeta Arora;Archana Salaria;Arun Singh;Manik Rakhra;Gaurav Dhiman
Publication Year: 2023,Page(s):30 - 34
The fast growth of business, science, and technology has ushered in the age of artificial intelligence, which has had far-reaching effects in every sphere of human existence. This article explains how AI may be used to detect and prevent accounting fraud and enhance the reliability of financial statements. Accounting and auditing firms may benefit or suffer from the advancement and use of artifici...Show More
A Novel Approach for Twitter Sentiment Analysis
Amritpal Singh;Ramandeep Sandhu;Amritpal Kaur;Gunseerat Kaur;Prajwal Kamale
Publication Year: 2023,Page(s):35 - 40
Sentiment analysis process on online evaluations has been accepted as a good research field for almost every industry. Various kinds of studies on analysis of the online sentiments mostly focus on outline and the lexicon structure, feature mining, and polarity determination which provide a gauge of people sentiment. Social mass media platforms have become essential for user-generated content and c...Show More
Data mining is a significant area of study and is rationally applied in many industries, including finance, medical research, education, and healthcare. Additionally, a lot of scholars have carefully examined and assessed the extent of data mining in relation to the healthcare industry, which is a vibrant interdisciplinary field of study. In actuality, the work of extracting knowledge from the med...Show More
Implementing an Intelligent Energy Management Framework for IoT Edge Devices
Publication Year: 2023,Page(s):47 - 51
Cloud computing is a well-established model for creating service-centric systems in a traditional scenario. However, when it comes to analyzing and delivering results for a vast quantity of data, cloud computing is constrained by ultra-low latency, high bandwidth, security, and real-time analytics. These constraints can be overcome via with the hybrid design offered by fog and edge computing. The ...Show More
A Comparative Study of Machine Learning Techniques for the Detection of Alzheimer's Disease
Yogesh;Kapil Kumar;Kanksha Kaur;Amandeep Thakur;Nahida Nazir;Omdev Dahiya;Sarthak Agarwal
Publication Year: 2023,Page(s):52 - 56
The timely detection of Alzheimer's disease remains a significant challenge in the medical field, yet machine learning algorithms offer promising solutions. This study delves into the application of machine learning techniques, such as K-Nearest Neighbors (KNN) and Support Vector Machines (SVM), to discern Alzheimer's disease from MRI brain images. The findings demonstrate KNN's exceptional accura...Show More
Nature-Inspired Metaheuristic Algorithms for Optimization in Cloud Computing: A Review and Analysis
Publication Year: 2023,Page(s):57 - 62
This review and analysis paper explores the application of nature-inspired metaheuristic algorithms for optimization in cloud computing. Cloud computing has become a popular technology for providing on-demand computing resources, but efficient resource allocation and management in cloud environments remain challenging due to their dynamic and complex nature. Nature-inspired metaheuristic algorithm...Show More
Landslide Monitoring Using IoT System with Cloud Platform
Pradeep Singh Rawat;Prateek Kumar Soni;Aryan Goel;Gurmeet Kaur
Publication Year: 2023,Page(s):63 - 68
The natural disasters poses the losses in the disaster prone area. Landslides pose great socio-economic threats to regions which geography of the location favors it. The hill states of the India are more prone to the landslides due to the heavy rain fall other environmental challenges. The researchers found that ninety-nine percent of landslides induced due to heavy rain falls. The severity of dis...Show More
A Machine Learning Approach for Detecting Fake News in Hindi
Shreyas Nagesh;Aditya N Sampath;Pradhumna Guruprasad;Salai Sanjay S;Jeyakumar G
Publication Year: 2023,Page(s):69 - 74
Several solutions exist to detect whether English news articles are fake or not. However, in a country such as India, news articles are published in numerous regional languages too. There has been little research work done on regional languages such as Hindi. This work proposes a framework to detect Hindi fake news articles. A dataset of nearly 4500 news articles has been collected in Hindi, writt...Show More
Facial Recognition-Based Emotion Detection for Enhanced Voter Experience
S Nitin Gourav;Komal Arora;Suhel Khan;Abhishek Dulat;Simran Sinha
Publication Year: 2023,Page(s):75 - 81
Facial recognition-based emotion detection technology has the potential to enhance the voter experience by providing real-time feedback on the emotional responses of voters during the voting process. This technology can be integrated with voting machines or mobile apps to capture voters' facial expressions and analyze them using machine learning algorithms to determine their emotions. The resultin...Show More
Comparative Analysis of Various EDM/LA Techniques Used For Improving Quality in Higher Education System
Publication Year: 2023,Page(s):82 - 88
Educational Data Mining (EDM) and Learning Analytics (LA) aim to leverage data to enhance academic learning and improve student performance. These areas cover a broad spectrum of topics, ranging from academic achievement and coaching to mental health and learning motivation. The COVID-19 pandemic has significantly impacted the higher education market, leading to a shift from traditional to online ...Show More
Crop Yield Prediction Through Artificial Neural Networks
Pradeep Kumar Kushwaha;Ajay Rana;Swati Vashisht;Vangala Sri Vaathsav;Smiksh Rakesh Shan;Garima Bhardwaj
Publication Year: 2023,Page(s):89 - 94
Cited by: Papers (10)
Evolving technologies like Artificial Intelligence, Machine Learning and Data Science are being integrated with almost all sectors. Agriculture, being one of the primary sectors is a no exception to this. Regular technological advancements happening in the agricultural field ensures food security and economical balance in the country. Variety of parameters like soil type, rainfall, temperature, ma...Show More
Security Challenges and Future Research in Quantum Key Distribution Networks
Subhadra Rajpoot;Kavita Singh;Capt Puneet Singh;Bhavesh Kumar Sharma
Publication Year: 2023,Page(s):95 - 100
Cited by: Papers (1)
Quantum Key Distribution (QKD) networks have emerged the revolutionary technology in ensuring secure communication in the digital age. By utilizing the principles of quantum mechanics, QKD allows two parties to establish a secret key securely, which can subsequently be used for encrypting and decrypting sensitive information. While QKD holds immense promise for enhancing cybersecurity, it also pre...Show More
Remote Sensing: A Comprehensive Overview of Principles and Applications
Shubham Tiwari;Pradeep Kumar Kushwaha;Arpit Saraswat;Shubhi Gupta;Swati Vashisht;Yuvraj Singh
Publication Year: 2023,Page(s):101 - 105
Cited by: Papers (4)
Remote sensing technology has been a crucial tool for gathering information about the Earth's surface and atmosphere for many years, with applications spanning several fields such as agriculture, forestry, coastal zone management, and environmental monitoring. This article presents a comprehensive overview of remote sensing principles and their uses in various industries. The fundamental concepts ...Show More
Assessing the Impact and Performance of Malware Detection Systems
Publication Year: 2023,Page(s):106 - 109
Malware detection systems are crucial for a wide range of reasons, including but not limited to protection from known threats; detection of zero-day threats; protection from data breaches and unauthorized access; system performance and stability; protection from a variety of malware; security of networks and endpoints; compliance with regulations; and proactive identification, mitigation, and prev...Show More
A Brief Survey on Facial Expression Detection
Publication Year: 2023,Page(s):110 - 115
Cited by: Papers (1)
Facial expression detection and Facial Recognition are important fields in computer vision. As per the statistics, a lot of people are going through anxiety and depression-related mental health problems, in such cases it is very important to build such a system where it can be able to identify the emotions of the people. To build systems for facial expression detection, every researcher requires t...Show More
Employee Absenteeism Prediction Using Machine Learning
Pradeep Kumar Kushwaha;Ajay Rana;Swapnil Srivastava;Aamir Saifi;Aryan Tavish;Prateek Chaturvedi
Publication Year: 2023,Page(s):116 - 121
Cited by: Papers (23)
This paper presents a comprehensive review of the current state-of-the-art in employee absenteeism prediction using machine learning techniques. The paper begins by providing an overview of the various factors that contribute to absenteeism, including employee demographics, job characteristics, organizational factors, and personal factors. It then discusses the different types of data that can be ...Show More
A Comprehensive Study on Intelligent Systems for the Diagnosis of Heart Failure
Publication Year: 2023,Page(s):122 - 126
It is a very difficult task to predict if a patient suffering from heart failure will survive and assist the doctors in making accurate decisions related to the survival of an individual. Proper care of a heart failure patient can only be done if the doctor has the necessary experience in the same domain. Additionally, the numerous linked factors to this disease make the diagnosis more challenging...Show More
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