Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, ...
Classification.These algorithms respond to classification issues where the output component is categorical. Some examples of this are “yes or no” or “true or false.” An example of classification used in daily life is the filtering capabilities in email applications — choosing primary email box ...
It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes ...
With many recent breakthroughs in foundation models, a vast range of new AI models and applications are emerging. AI is also being deeply integrated into industries, serving more and more industry scenarios. However, data, computing power, algorithms, and application deployment are struggling to keep...
For medium- and large-sized instances, the extensive form problem fails to terminate within 2 h on any instance, while our decomposition algorithms provide optimal solutions on all but two problem instances. Introduction In this paper, we examine the survivability aspect of network design, that is...
Multi-Criterion Dynamic Traffic Assignment Models and Algorithms for Road Pricing Applications with Heterogeneous Users Lu, C-C. Multi-Criterion Dynamic Traffic Assignment Models and Algorithms for Road Pricing Applications with Heterogeneous Users. Ph. D dissertation, The ... CCJ Lu 被引量: 7发表:...
(UK). He is a computational mathematician specialised in developing novel and fast numerical algorithms for various scientific computing (especially imaging) applications. He has been the director of a Multidisciplinary Research Centre for Mathematical Imaging Techniques (CMIT) since 2007, the director ...
Learning algorithms Machine Learning Mixed Methods Survey Methodology Artificial Intelligence 1Introduction The main concept of artificial neural networks (ANN) was proposed and introduced as a mathematical model of an artificial neuron in 1943 [1,2,3]. In 2006, the concept of deep learning (DL) ...
Still, it was not until the recent advancements in deep learning algorithms, computational power, and text data availability that they became a game-changer in artificial intelligence. Thanks to the incredible performance of these models, they have been employed in large language models applications,...
evolve. Foremost are AI foundation models, which are trained on a broad set of unlabeled data that can be used for different tasks, with additional fine-tuning. Complex math and enormous computing power are required to create these trained models, but they are, in essence,prediction algorithms....