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Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang
Efficient yet sufficient exploration remains a critical challenge in reinforcement learning (RL), especially for Markov Decision Processes (MDPs) with vast action spaces. Previous approaches have commonly involved projecting the original action space int...
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Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
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Yang Shi, Zhenbo Wang, Tim J. LaClair, Chieh (Ross) Wang, Yunli Shao and Jinghui Yuan
The advent of connected vehicle (CV) technology offers new possibilities for a revolution in future transportation systems. With the availability of real-time traffic data from CVs, it is possible to more effectively optimize traffic signals to reduce co...
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Fiona Young and Benjamin Cleveland
This paper critically reviews the body of literature on affordances relating to the design and inhabitation of school buildings. Focusing on the influence of learning spaces on pedagogical practices, we argue that links between affordances, architecture ...
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Knud Thomsen
Artificial Intelligence (AI) is set to play an ever more important role in our lives and societies. Here, some boundary conditions and possibilities for shaping and using AI as well as advantageously embedding it in daily life are sketched. On the basis ...
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Jessica Cremonese, Marianna Marcon, Laura Oppi, Giulia Paletti, Vincenzo Romolo, Pamela Tozzo and Luciana Caenazzo
Starting with a brief socioeconomic analysis of the phenomenon of female fertility, this narrative review aims to provide an analysis of the use and possibilities of medically assisted reproductive technology in combating fertility issues, adopting socio...
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Magdalena Peciak and Wojciech Skarka
Climate change currently taking place around the world requires humanity to take decisive action. One way, as envisaged in the European Green Deal, is to reduce the emissions of harmful chemical compounds of the transport sector by 90% by 2050. This redu...
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Marko Lahti and Suvi Nenonen
Background: Future places for learning and working are digitally and physically integrated hybrid environments. The archetypical context of learning is the classroom, and context of working is the office; especially in knowledge work. New information and...
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Francisco Bonin-Font and Antoni Burguera
State of the art approaches to Multi-robot localization and mapping still present multiple issues to be improved, offering a wide range of possibilities for researchers and technology. This paper presents a new algorithm for visual Multi-robot simultaneo...
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Dejan ?agar, Matija Svetina, Andrej Ko?ir and Franc Dimc
This paper is intended to give an overview of the experiments to evaluate the cognitive load of the officer on watch (OOW) during a collision avoidance maneuver in a full-mission simulator. The main goal is to investigate the possibilities of recording t...
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