|
|
|
|
|
Dipayan Mazumder, Mithun Datta, Alexander C. Bodoh and Ashiq A. Sakib
The increasing demand for high-speed, energy-efficient, and miniaturized electronics has led to significant challenges and compromises in the domain of conventional clock-based digital designs, most notably reduced circuit reliability, particularly in mi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nils Hütten, Miguel Alves Gomes, Florian Hölken, Karlo Andricevic, Richard Meyes and Tobias Meisen
Quality assessment in industrial applications is often carried out through visual inspection, usually performed or supported by human domain experts. However, the manual visual inspection of processes and products is error-prone and expensive. It is ther...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moritz Platt and Peter McBurney
Consensus algorithms are applied in the context of distributed computer systems to improve their fault tolerance. The explosive development of distributed ledger technology following the proposal of ?Bitcoin? led to a sharp increase in research activity ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raymond Kabo, Marc-André Bourgault, Jean François Bissonnette, Nathalie Barrette and Louis Tanguay
Research in hydrological sciences is constantly evolving to provide adequate answers to address various water-related issues. Methodological approaches inspired by mathematical and physical sciences have shaped hydrological sciences from its inceptions t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amanda Yates, Maibritt Pedersen Zari, Sibyl Bloomfield, Andrew Burgess, Charles Walker, Kathy Waghorn, Priscila Besen, Nick Sargent and Fleur Palmer
The institutional frameworks within which we conceive, design, construct, inhabit and manage our built environments are widely acknowledged to be key factors contributing to converging ecological crises: climate change, biodiversity loss, environmental d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Howard Peng, Jirat Bhanpato, Ameya Behere and Dimitri N. Mavris
Aviation noise remains a key barrier to the sustainable growth of commercial aviation. The advent of emerging technologies, such as urban air mobility, and the renewed interest in commercial supersonic transport aircraft, has only further raised concerns...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vidhya Kamakshi and Narayanan C. Krishnan
Explainable Artificial Intelligence (XAI) has emerged as a crucial research area to address the interpretability challenges posed by complex machine learning models. In this survey paper, we provide a comprehensive analysis of existing approaches in the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luca Morganti, Marco Demutti, Ioakeim Fotoglou, Eva Alessandra Coscia, Paolo Perillo and Alessandro Pracucci
The construction industry impacts resource consumption and waste production and thus necessitates solutions that promote sustainable practices. In particular, it must address challenges surrounding data collection and digital management services that oft...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pedro Almeida, Vitor Carvalho and Alberto Simões
Reinforcement Learning is one of the many machine learning paradigms. With no labelled data, it is concerned with balancing the exploration and exploitation of an environment with one or more agents present in it. Recently, many breakthroughs have been m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wisal Khan, Teerath Kumar, Cheng Zhang, Kislay Raj, Arunabha M. Roy and Bin Luo
The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support...
ver más
|
|
|
|
|
|