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[HTML][HTML] A systematic review of meta-heuristic algorithms in IoT based application
Abstract Internet-of-Things (IoT) has gained quick popularity with the evolution of
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …
[HTML][HTML] A review on bioinspired strategies for an energy-efficient built environment
Energy efficiency is an emerging challenge for the built environment due to rapid
urbanisation. The built environment impacts human health and comfort, along with …
urbanisation. The built environment impacts human health and comfort, along with …
Deep learning for safe autonomous driving: Current challenges and future directions
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Artificial intelligence in railway transport: Taxonomy, regulations, and applications
Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …
transport is no exception. However, due to the plethora of different new terms and meanings …
Nature inspired optimization algorithms: a comprehensive overview
Nature performs complex tasks in a simple yet efficient way. Natural processes may seem
straightforward from outside but are composed of several inherently complicated sub …
straightforward from outside but are composed of several inherently complicated sub …
Smart mobility: The main drivers for increasing the intelligence of urban mobility
PA Maldonado Silveira Alonso Munhoz… - Sustainability, 2020 - mdpi.com
Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a
key factor in enabling cities to become more intelligent, which highlights the importance of …
key factor in enabling cities to become more intelligent, which highlights the importance of …
Evolution of road traffic congestion control: A survey from perspective of sensing, communication, and computation
Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …
efficiency in urban traffic networks, which can be relieved by employing appropriate …
From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability
Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …
resulting in developments in the transportation sector that are data-driven. Nowadays …