[ad_1] Introduction Reinforcement learning has gained significant attention in recent years due to its ability to enable autonomous agents to learn and adapt to their environment without explicit programming. This thesis focuses on the application…
Read More
[ad_1] Introduction Computer vision is a rapidly growing field with applications in various industries such as robotics, surveillance, automotive, healthcare, and more. Object tracking is a fundamental task in computer vision that involves the process…
Read More
[ad_1] Introduction Privacy-preserving federated learning is a cutting-edge technology that allows multiple IoT devices to collaboratively learn a model while keeping their data decentralized and secure. With the rapid growth of IoT devices, concerns about…
Read More
[ad_1] Introduction: Swarm intelligence is a fascinating area of research that has gained significant attention due to its ability to solve complex problems by mimicking the behavior of social insect colonies. This thesis explores the…
Read More
[ad_1] Introduction Cognitive computing is a rapidly evolving field that combines artificial intelligence, machine learning, natural language processing, and advanced analytics to create systems that can learn, reason, and interact with humans in a more…
Read More
[ad_1] Introduction Secure multi-party computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their inputs while keeping these inputs private. This technology has shown great potential for data…
Read More
[ad_1] Introduction Blockchain technology has gained significant attention in recent years for its potential to revolutionize various industries, with one of the emerging applications being peer-to-peer energy trading. The traditional centralized energy trading system is…
Read More
[ad_1] Introduction: Functional encryption is a powerful cryptographic tool that allows users to specify various access structures on encrypted data, enabling fine-grained access control in cloud computing environments. With the increasing popularity of cloud services,…
Read More
[ad_1] Introduction Reinforcement learning is a powerful machine learning technique that allows agents to learn optimal behaviors through trial-and-error interactions with their environment. In recent years, there has been a growing interest in using reinforcement…
Read More
[ad_1] Introduction Computer vision is a field of study within artificial intelligence and computer science that focuses on enabling computers to interpret and understand the visual world. One of the key applications of computer vision…
Read More