Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques
Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …
have turned self-sufficient traditional cities into mega-cities and caused several new …
Evaluating machine learningworkloads on memory-centric computing systems
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
An intelligent IoT-cloud-based air pollution forecasting model using univariate time-series analysis
Air pollution is a significant environmental issue affecting public health and ecosystems
worldwide, resulting from various sources such as industrial activities, vehicle emissions …
worldwide, resulting from various sources such as industrial activities, vehicle emissions …
Environmental justice and the use of artificial intelligence in urban air pollution monitoring
TG Krupnova, OV Rakova, KA Bondarenko… - Big Data and Cognitive …, 2022 - mdpi.com
The main aims of urban air pollution monitoring are to optimize the interaction between
humanity and nature, to combine and integrate environmental databases, and to develop …
humanity and nature, to combine and integrate environmental databases, and to develop …
A design and development of the smart forest alert monitoring system using IoT
Forest is one of the main sources of living organisms. Its needs start from the human breath
to usage of the wood. But due to many reasons, area occupied by the forest is reducing …
to usage of the wood. But due to many reasons, area occupied by the forest is reducing …
[HTML][HTML] Urban dynamic in high spatiotemporal resolution: The case study of Porto
B Jardim, M de Castro Neto, P Calçada - Sustainable Cities and Society, 2023 - Elsevier
Cities that prioritize sustainability leverage data from daily urban activities to make informed
decisions. Research has shown the effectiveness of indicators regarding traffic, public …
decisions. Research has shown the effectiveness of indicators regarding traffic, public …
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review
I Essamlali, H Nhaila, M El Khaili - Sustainability, 2024 - mdpi.com
Urban air pollution is a pressing global issue driven by factors such as swift urbanization,
population expansion, and heightened industrial activities. To address this challenge, the …
population expansion, and heightened industrial activities. To address this challenge, the …
Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning
Modern cloud applications are composed of tens of thousands of environment-agnostic
serverless functions that can be deployed in either a fog or cloud environment. The key to …
serverless functions that can be deployed in either a fog or cloud environment. The key to …
Air quality integrated assessment: Environmental impacts, risks and human health hazards
The monitoring and evaluation of air quality is a topic of great global interest as, with the
decline of air quality, there are negative effects on human health and ecosystems. Thus, the …
decline of air quality, there are negative effects on human health and ecosystems. Thus, the …