All of the articles in this proceedings volume have been presented at the International Conference on Innovation in Artificial Intelligence and Business ICIITB 2024 during April 29-30th 2024 in Modern College of Business and Science, Muscat, Oman. These articles have been peer reviewed by the members...

This research investigates the integration of machine learning (ML) models into cache management systems to enhance overall performance. Two distinct strategies, the Block Cache model and Vector Cache model, are implemented, each incorporating widely used cache replacement policies—Least Recently Used...

Sentiment analysis of the employee reviews is very important to understand the satisfaction in the company, predict the engagement of the employees, identify the risk of employee retention and improve general productivity of the company. Proper analysis of these reviews may provide valuable insight into...

This review article explores the potential benefits of integrating machine learning and tool condition monitoring for manufacturing applications. It first reviews the current state of machine learning and tool condition monitoring and their respective applications in manufacturing. It then discusses...

This work has a goal to test a deep-learning approach to the problem of aerial weed detection in crops. The issue of this type of detection lies in the nature of plants and their life cycles. Crops as well as weeds change their appearance and can be similar in physical appearance. The use of advanced...

The reduced costs associated with deploying and utilizing Unmanned Aerial Vehicles (UAVs) have spurred their widespread adoption across various industries, including aerial photography, information gathering, and search and rescue operations. However, this rapid uptake has also raised concerns regarding...

This work explores the benefits that reinforcement learning (RL) and unsupervised learning (UL) have over supervised learning (SL). Using RL and Python simulations are produced that closely mimic those observed in the real world, and an agent is trained using a form of genetic algorithm. The system created...

Parkinson’s disease, a progressive neurological disorder primarily affecting elderly males, stems from dysregulation within the extrapyramidal tracts, notably the substantia nigra, lentiform nucleus, caudate nucleus, and ruber nucleus. This condition manifests as heightened cholinergic activity in the...

Cyberbullying denotes one of the recent pervasive problems, mostly found on social networks, that poses a considerable challenge to keep safe and inclusive environment. It can lead to serious psychological problems for the victim. As one of possible responses, artificial intelligence emerged as a powerful...

SQL injection attacks are still considerable threat to the web applications and organizations security in general, giving the attackers the opportunity to cause execution of arbitrary SQL queries sent through user input fields. Traditional defensive mechanisms to mitigate these threats often rely on...

This research focuses on the detection of Structured Query Language (SQL) injection intrusion detection. This problem has gained significance due to the widespread use of SQL in different systems, as well as for the numerous versions of attacks that are performable by using this technique. This work...

Cyberbullying is a form of harassing, intimidating and harming other people through electronic media like social networks or messaging platforms. Typical forms of cyberbullying include messages containing harmful text, photos or videos that will embarrass the target, and excluding the individual from...