2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) - Conference Table of Contents | IEEE Xplore
Applied Artificial Intelligence and Computing (ICAAIC), International Conference on

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)

DOI: 10.1109/ICAAIC56838.2023

4-6 May 2023

Proceedings

The proceedings of this conference will be available for purchase through Curran Associates.

Applied Artificial Intelligence and Computing (ICAAIC), 2023 2nd International Conference on

Cryptocurrency price prediction is most wanted by investors nowadays to get more money in cryptocurrency investment. All existing methods depicted in the survey for Cryptocurrencies price prediction are not suitable for real-time investment price prediction. To handle the above-mentioned issues, Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) is anticipated for Cryptocurrency pri...Show More
Tea leaf diseases have had a substantial impact both on the quantity and quality of the tea produced. The high-precision automatic detection and identification of illnesses that can be found in tea leaves is beneficial to the accurate prevention and control of those diseases. Manual procedures, which require a lot of time and effort, are still the primary tool for diagnosing tea illnesses and dete...Show More
Massive open online course (MOOC) has been around for several years, which started to gain traction in 2012 when Coursera was established. MOOCs use pre-recorded lectures and scheduled weekly tests to provide content and access to students over the internet. The dataset used in this study is taken from the KDDCUP 2015 dataset, a publicly available dataset. Here, 12 features are considered, they ar...Show More
According to the National Institute of Mental Health, Major Depressive Disorder affected an estimated 21.0 million American adults in 2020, which represents 8.4% of the U.S. population aged 18 or older in a given year. Even though the percentage is substantial, it reflects only the diagnosed cases. Most depression cases remain undiagnosed and thus untreated. Real-time monitoring of physiological i...Show More
This study aims to simplify human-computer interaction and make it more user-friendly by incorporating gesture recognition. Individuals can interact with machines without physical instruments like keyboards or laser pens with gestures. Hand gesture recognition is a technology that can accurately detect hand movements in real-time video. This work proposes a novel approach to developing interactive...Show More
Due to the presence of complex literary devices such as metaphors and imagery, poetry can be difficult to comprehend. This is especially true for literary works of classical poets like Kaalidasa that employ intricate, often conflicting themes which tend to be particularly tedious to interpret and decipher. The beauty of these works of art tends to get lost in translation. A visual representation i...Show More
Today, the prediction of bankruptcy holds a great importance. The urgency of this problem has led to the fact that there are many various methods and techniques that allow predicting the onset of bankruptcy of an enterprise with varying degrees of proba bility. However, there are many problems in this area. Namely, there are practically no methods that could predict an unfavorable outcome with a h...Show More
It's hard to understand the level of urgency and desperation someone feels when their loved one needs an organ transplant but they can't find a suitable donor. Organ donation is a critical procedure that can potentially save lives, but there are several obstacles that make it challenging, such as a shortage of donors and complicated systems of third-party intermediaries. Blockchain technology offe...Show More
This study presents an extensive comparative analysis of ChatGPT, Google BARD, and Microsoft Bing in natural language processing, machine learning, and user experience. Chatbot technologies have become increasingly popular due to their potential to enhance customer service, support, and engagement in various fields, including healthcare, education, and e-commerce. However, the performance of chatb...Show More
Recently, many companies are relying on Natural Language Processing (NLP) techniques to understand the text data generated daily. It has become very critical to deal with this data because finding the sentiments of text and summarizing them will help the company understand the pain points of the customers posting reviews on social media or understand the experience of the customer. These requireme...Show More
Big data are produced in high volume, velocity, veracity, and variety. They present unprecedented opportunities to improve our life that is deeply rooted in the use of information. Machine Learning and Data mining techniques are employed to find useful patterns and insights from the data. Feature selection is among the most important steps of Machine learning and data mining processes and, if care...Show More
Kids who use their phones excessively may experience a range of concerns, including impaired attention, sleep disruptions, mental health problems, eye problems, and obesity. To solve this problem, a system for safety monitoring has been proposed that would let parents watch their kids' whereabouts from a distance. This system functions covertly in the background, gathering phone records, message i...Show More
With the COVID-19 pandemic creating a worldwide medical emergency, it is more important than before to make accurate and fast diagnosis. Finding and tracking people infectedwith COVID-19 quickly, as well as making early decisions for their diagnosis, monitoring, and treatment, are the primary challenges in this crisis. X-RAY imaging highly helps to detect infections in their early stages and it is...Show More
Collocations are not merely frequently appearing word combinations (n-grams). Words in collocations have some kind of strong association among them. Collocations play an important role in various natural language processing (NLP) applications. Sentiment analysis is one of the growing areas of research in NLP because of its utilization in various business strategies. The present paper investigates ...Show More
Understanding how software works and building code has been a basic requirement for every student. Programming skills vary from person to person and even from language to language. Monitoring the student performance is evident to assess and improve programming skills. Though e-learning courses have paved the way to a different structure of learning, it is way more important to practice under super...Show More
The EfficientNetB0 model is used in this research work to propose an innovative method for the categorization of brain strokes based on computed tomography (CT) data. The categorization of strokes is an essential step in the medical diagnostic process since timely identification and treatment have been shown to dramatically improve patient outcomes. However, conventional approaches of classifying ...Show More
Sentiment analysis, commonly referred to as opinion mining, reveals the attitudes and feelings of consumers about specific goods or services. The sentiment polarity classification, which identifies whether a review is favourable, negative, or neutral, is the fundamental issue with sentiment analysis. There are still some study gaps, as some studies only investigate the positive, neutral, and negat...Show More
Brain illnesses are notoriously challenging because of their fragility, surgical complexity, and high treatment costs. Contrarily, it is not obligatory to carry out the operation, as the outcomes of the procedure may fall short of expectations. Adult-onset Alzheimer's disease, which causes memory loss and losing information to varied degrees, is one of the most common brain diseases. This will var...Show More
Deep convolution neural networks have made sig-nificant advances in object identification. The popularity of machine learning-based image classification has increased as a result of developments in deep learning algorithms that makes it possible to extract features from images. Yet, conventional image classification algorithms are far too incorrect and untrustworthy to address the problem. Automat...Show More
Economic dispatch for the microgrid (MG) is better adapted to the needs of a system in actual operation in the current scenario because it not only takes into account the scheduling cycle's lowest cost but also coordinates between several distributed generations (DGs) over a long period of time. Due of the unpredictable fluctuations and intervals that wind and solar energy are subject to, the econ...Show More
Virtual reality and artificial intelligence (AI) application in healthcare has shown promise in improving the lives of those with physical limitations. This article describes how an AI agent was created and then taught using the deep reinforcement learning Deep Q-Learning Network (DQN) algorithm in a virtual reality game for paraplegic children. Depending on the child's individual skills and devel...Show More
COVID-19 pandemic has spread throughout the world and has resulted in several casualties since 2019. Moreover, it impacted on every aspect of society including the socio-culture, health, and economic sector of the countries. The accurate and timely detection of covid-19 disease may help to tackle the problem of further spread as well as saving numerous lives. The emergence of a computer vision-bas...Show More
Information technology is currently passing through its golden phase. In this era of information technology, there is a great need of outsourcing in information technology for the betterment of products and to be updated for the growing business. Outsourcing in the IT sector refers to a company contracting with another company to provide services, which in some cases may also be performed by in-ho...Show More
Retail stores often exhibit disorganized features, such as suboptimal store layout, inadequate inventory manage-ment, disarrayed items, and irregularly stocked shelves. These issues can lead to a loss of customers, as well as stock-outs or overstocking, resulting in revenue loss and wastage. Stores find it challenging to attract and retain customers, leading to declining revenues and eventually cl...Show More
A highly scalable computer environment nowadays makes it possible to perform a variety of tasks involving data-intensive machine learning and natural language processing. One of these is the sales price prediction of home autos with recent concerns that many data scientists have looked at. In this research, the in-memory computing platform Apache Spark-which implements Naive Bayes, Novel Random Fo...Show More

Proceedings

The proceedings of this conference will be available for purchase through Curran Associates.

Applied Artificial Intelligence and Computing (ICAAIC), 2023 2nd International Conference on