[HTML][HTML] NIR spectroscopy of natural medicines supported by novel instrumentation and methods for data analysis and interpretation
Near-infrared (NIR) spectroscopy is a powerful tool for qualitative and quantitative
phytoanalysis. It is a rapid and high-throughput analytical method, with on-site capability …
phytoanalysis. It is a rapid and high-throughput analytical method, with on-site capability …
Machine learning-based traffic prediction models for intelligent transportation systems
A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
Artificial intelligence-based traffic flow prediction: a comprehensive review
The expansion of the Internet of Things has resulted in new creative solutions, such as smart
cities, that have made our lives more productive, convenient, and intelligent. The core of …
cities, that have made our lives more productive, convenient, and intelligent. The core of …
Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
In the development of smart cities, the intelligent transportation system (ITS) plays a major
role. The dynamic and chaotic nature of the traffic information makes the accurate …
role. The dynamic and chaotic nature of the traffic information makes the accurate …
Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
[HTML][HTML] Small pests detection in field crops using deep learning object detection
Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely
studied and applied in various fields including agriculture. Agriculture is the most important …
studied and applied in various fields including agriculture. Agriculture is the most important …
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 …
Iktishaf+: a big data tool with automatic labeling for road traffic social sensing and event detection using distributed machine learning
Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …
and interact with others. This is being realized through digital platforms such as social media …
Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning
Road transportation is the backbone of modern economies despite costing annually millions
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …