Human–robot interaction: A review and analysis on variable admittance control, safety, and perspectives
Human–robot interaction (HRI) is a broad research topic, which is defined as understanding,
designing, develo**, and evaluating the robotic system to be used with or by humans. This …
designing, develo**, and evaluating the robotic system to be used with or by humans. This …
[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …
brain and the computer. Brain signals contain valuable information about the mental state …
Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction
Urgent transition from the dependence on fossil fuels towards renewable energies requires
more solar photovoltaic power to be connected to the electricity grids, with reliable supply …
more solar photovoltaic power to be connected to the electricity grids, with reliable supply …
Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …
providing personalized pedagogical support and preventing dropouts. As learning …
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes
This research proposes a novel transfer function based on the hyperbolic tangent and the
Khalil conformable exponential function. The non-integer order transfer function offers a …
Khalil conformable exponential function. The non-integer order transfer function offers a …
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
This study presents a comprehensive and systematic review of the machine learning (ML)
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
Deep machine learning-based water level prediction model for Colombo flood detention area
Machine learning has already been proven as a powerful state-of-the-art technique for many
non-linear applications, including environmental changes and climate predictions. Wetlands …
non-linear applications, including environmental changes and climate predictions. Wetlands …
Real estate app development based on AI/VR technologies
I Miljkovic, O Shlyakhetko, S Fedushko - Electronics, 2023 - mdpi.com
This paper deals with an investigation centered on develo** a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …