The existing image processing methods based on physical models can have a significant impact on defogging performance due to inaccurate estimation of the depth of field information. These methods often encounter probl...
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Structural topology optimization is a recognized technique for designing structures. Genetic algorithm (GA) provides a reliable approach to finding the optimal structure;however, it has been criticized for its high co...
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The Internet has grown in importance and impact over the years, causing people to become more reliant on it. The Internet has evolved into a major vector for cybercrime because to its ever-increasing user base. Over t...
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ISBN:
(纸本)9798350352931
The Internet has grown in importance and impact over the years, causing people to become more reliant on it. The Internet has evolved into a major vector for cybercrime because to its ever-increasing user base. Over the last decade, the number of these computing systems - including desktops, laptops, smartphones, and the Internet of Things (IoT) - has skyrocketed. Among them, cell phones are practically integral to modern life. The popularity of web-based assaults has skyrocketed with the exponential growth in the number of individuals using the Internet. These web-based assaults are increasingly being combatted by security corporations. Unfortunately, new forms of these assaults are appearing all the time, making it hard for older security measures to stay up. Artificial intelligence (AI) is a source of optimism in the current cybersecurity landscape, offering a potential solution to the ever-changing digital dangers. The fast development of AI over the last decade has given rise to this optimism, because it is now impacting the expansion of every industry. With AI bringing so many advantages in every field, online security is one sector that just cannot afford to ignore it. This thesis represents progress in that direction. This thesis covers research that aims to use AI to tackle significant online security challenges. Security in Internet of Things (IoT) settings powered by artificial intelligence may be improved with the help of cognitive digital twin systems (CDTS). In order to provide proactive security measures, real-time monitoring, and predictive analysis, these systems use cutting-edge AI methods to digitally represent physical IoT devices. In order to anticipate and lessen the impact of security risks, this research introduces a new CDTS architecture that combines cognitive learning skills, anomaly detection, and machine learning models. The suggested approach reduced reaction time to security events by 87.5% and identified zero-day threats with a detect
Teaching a mechanicalengineering class for the first time requires significant preparation and content development. While a flipped classroom canbe effective for student learning, course development can bequitediffic...
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Cloud Manufacturing matches supplier capacities and customer demands via an algorithmic agent. The agent aims to maximize its own and the platform participant's revenue, hence the platform's gross revenue. Vol...
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A solar-powered, intelligent grass cutter and pesticide application system that uses microcontrollers, sonar sensors, solar panels, and GSM technology is being proposed as a solution to the issue of high labor costs i...
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This article presents the design, development, implementation, and evaluation of a system for patient health monitoring by synergistically combining machine learning models, mobile ad hoc networks (MANET), and Interne...
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Any higher education institution is interested in attracting and retaining students. The reasons for choosing a particular university, further education and diploma defense directly depend on the quality of the educat...
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Omnidirectionality, that is (in the autonomous navigation context), ability to move in any direction at all times without extensive turning provides some nuances that can be leveraged greatly in many scenarios. This p...
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This study intends to improve the design of front axles for heavy commercial vehicles, with a major goal of reducing weight while maintaining mechanical strength. The front axle is critical in supporting the weight of...
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