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
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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
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Basic protocols in quantum reinforcement learning with superconducting circuits [PDF]
, 2017 Superconducting circuit technologies have recently achieved quantum protocols involving closed feedback loops. Quantum artificial intelligence and quantum machine learning are emerging fields inside quantum technologies which may enable quantum devices ...
Lamata, Lucas
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Artificial Intelligence and Learning Environments: Preface [PDF]
Artificial Intelligence, 1990 This chapter contains sections titled: Rationale for the Collection, Research Standards, Overview of the Articles, Research Trends of the 1980s, New Perspectives ...
Clancey, William J., Soloway, Elliot
openaire +2 more sources
Making AI Meaningful Again [PDF]
, 2021 Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming.
Landgrebe, Jobst, Smith, Barry
core
A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits [PDF]
, 2020 Developmental psychology and neuroimaging research identified a close link between numbers and fingers, which can boost the initial number knowledge in children.
Di Nuovo, Alessandro
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Learning, Social Intelligence and the Turing Test - why an "out-of-the-box" Turing Machine will not pass the Turing Test [PDF]
, 2012 The Turing Test (TT) checks for human intelligence, rather than any putative general intelligence. It involves repeated interaction requiring learning in the form of adaption to the human conversation partner.
A. Trewavas +13 more
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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis [PDF]
Medical Image Anal., 2021 With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis.
Bas H. M. van der Velden +3 more
semanticscholar +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
Automation in Construction, 2022 This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material
S. Baduge +7 more
semanticscholar +1 more source