Bio-signals in medical applications and challenges using artificial intelligence
Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …
diagnosis based on the congruous data generated. Different types of bio-signal can be used …
A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting
W Zhang, Q Chen, J Yan, S Zhang, J Xu - Energy, 2021 - Elsevier
Accurate load forecasting is challenging due to the significant uncertainty of load demand.
Deep reinforcement learning, which integrates the nonlinear fitting ability of deep learning …
Deep reinforcement learning, which integrates the nonlinear fitting ability of deep learning …
A comprehensive review on the behaviour of motorcyclists: Motivations, issues, challenges, substantial analysis and recommendations
SN Abdulwahid, MA Mahmoud, BB Zaidan… - International journal of …, 2022 - mdpi.com
With the continuous emergence of new technologies and the adaptation of smart systems in
transportation, motorcyclist driving behaviour plays an important role in the transition …
transportation, motorcyclist driving behaviour plays an important role in the transition …
Supporting digital content marketing and messaging through topic modelling and decision trees
This paper presents a machine learning approach involving tourists' electronic word of
mouth (eWOM) to support destination marketing campaigns. This approach enhances …
mouth (eWOM) to support destination marketing campaigns. This approach enhances …
A machine learning-based recommender system for improving students learning experiences
Outcome-based education (OBE) is a well-proven teaching strategy based upon a
predefined set of expected outcomes. The components of OBE are Program Educational …
predefined set of expected outcomes. The components of OBE are Program Educational …
Sampling scheme-based classification rule mining method using decision tree in big data environment
C Jin, F Li, S Ma, Y Wang - Knowledge-Based Systems, 2022 - Elsevier
Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …
applications such as data-driven decision-making and classification tasks. Decision-tree …
Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment
The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
Decision tree and AHP methods application for projects assessment: a case study
A Maceika, A Bugajev, OR Šostak, T Vilutienė - Sustainability, 2021 - mdpi.com
This research is dedicated to the modelling of decision process occurring during the
implementation of construction projects. Recent studies generally do not assess the …
implementation of construction projects. Recent studies generally do not assess the …
Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic
The challenging oil spill response in the Arctic calls for effective response decision support
tools. In this study, a framework comprising the development of various integrated fuzzy …
tools. In this study, a framework comprising the development of various integrated fuzzy …
[PDF][PDF] An Intelligent Business Model for Product Price Prediction Using Machine Learning Approach.
The price of a product plays a vital role in its market share. Customers usually buy a product
when it fits their needs and budget. Therefore, it is an essential area in the business to make …
when it fits their needs and budget. Therefore, it is an essential area in the business to make …