[ad_1] Introduction Computer vision for gesture recognition is a rapidly growing field with great potential for various applications such as human-computer interaction, sign language recognition, and virtual reality. This thesis aims to explore the use…
Read More
[ad_1] Introduction In the rapidly evolving field of software development, ensuring the quality of software products is of paramount importance. Traditional methods of software quality assurance often fall short in keeping up with the increasing…
Read More
[ad_1] Introduction Federated learning is a novel machine learning technique that allows multiple parties to collaboratively build a common machine learning model without sharing their sensitive data. This emerging technology has gained significant attention in…
Read More
[ad_1] Introduction Augmented reality (AR) has gained significant attention in recent years due to its potential applications in various fields, including interior design. AR technology enables the overlay of digital content onto the real world,…
Read More
[ad_1] Introduction: Neuromorphic computing is a cutting-edge technology that has gained significant attention due to its potential to mimic the human brain’s processing capabilities. This technology is particularly suitable for sensor fusion, which involves the…
Read More
[ad_1] Introduction: Swarm intelligence is a relatively new field of study that has gained significant interest in recent years due to its potential applications in various fields such as robotics, optimization, and decision-making. In particular,…
Read More
[ad_1] Introduction: In recent years, there has been a growing interest in decentralized file storage systems due to their potential to address the limitations of traditional centralized storage solutions. Distributed systems offer a more efficient…
Read More
[ad_1] Thesis Overview: Deep reinforcement learning for network routing Introduction Deep reinforcement learning (DRL) has recently gained significant attention in the field of artificial intelligence and machine learning. This thesis explores the application of DRL…
Read More
[ad_1] Introduction The use of Artificial Intelligence (AI) techniques in credit scoring has become increasingly popular in recent years. AI models have shown promising results in improving the accuracy of credit risk assessment and decision-making…
Read More
[ad_1] Introduction: Quantum machine learning is a cutting-edge field that combines principles of quantum physics with machine learning algorithms to solve complex problems in various industries. One such application is drug design, where the goal…
Read More