Results 31 to 40 of about 405,044 (354)
Application of Machine Learning and Data Mining Techniques in Diagnosing Diabetes [PDF]
Advances in Engineering and Intelligence SystemsDiabetes is a metabolic disorder characterized by high blood glucose levels and is a major health burden worldwide due to serious complications such as cardiovascular disease and chronic renal failure.
Claire Murray +2 more
doaj +1 more source
Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands
IEEE Access, 2023 We present a novel end-to-end framework for solving the Vehicle Routing Problem with stochastic demands (VRPSD) using Reinforcement Learning (RL). Our formulation incorporates the correlation between stochastic demands through other observable stochastic
Zangir Iklassov +3 more
doaj +1 more source
Meta-learning in natural and artificial intelligence [PDF]
Current Opinion in Behavioral Sciences, 2021 Meta-learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community. However, meta-learning is incredibly prevalent within nature, has deep roots in cognitive science and psychology, and is currently studied in various forms within neuroscience. The aim of this review is to recast previous lines
openaire +2 more sources
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education [PDF]
Inf., 2023 This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education.
Ramteja Sajja +4 more
semanticscholar +1 more source
Applications of Artificial Intelligence in Medical Imaging
, 2023 Artificial intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image ...
Subasi, Abdulhamit
core +1 more source
Artificial Intelligence and Machine Learning in Cybersecurity: Opportunities and Challenges
, 2023 Artificial intelligence (AI) and machine learning (ML) are transforming the field of cybersecurity by providing new tools and methods to detect, analyze, and respond to cyber threats.
M.Ruthvik Mohan
core +1 more source
Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review
Education sciences, 2023 The rapid evolution of e-learning platforms, propelled by advancements in artificial intelligence (AI) and machine learning (ML), presents a transformative potential in education. This dynamic landscape necessitates an exploration of AI/ML integration in
Ilie Gligorea +5 more
semanticscholar +1 more source
Editorial on Special Issue “Artificial Intelligence in Pathological Image Analysis”
, 2023 The artificial intelligence (AI), especially deep learning models, is highly compatible with medical images and natural language processing and is expected to be applied to pathological image analysis and other medical fields [...
Masayuki Tsuneki
core +1 more source
IEEE Consumer Electronics Magazine, 2017 In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning.
Joseph Lemley, S. Bazrafkan, P. Corcoran
semanticscholar +1 more source
Artificial intelligence in higher education: the state of the field
International Journal of Educational Technology in Higher Education, 2023 This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination.
H. Crompton, D. Burke
semanticscholar +1 more source