[HTML][HTML] A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving
Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …
system protection schemes. Adaptive and intelligent protection methodology, based on …
[HTML][HTML] Assessing behavioral data science privacy issues in government artificial intelligence deployment
JR Saura, D Ribeiro-Soriano… - Government Information …, 2022 - Elsevier
In today's global culture where the Internet has established itself as the main tool for
communication and commerce, the capability to massively analyze and predict citizens' …
communication and commerce, the capability to massively analyze and predict citizens' …
A systematic review of machine learning in logistics and supply chain management: current trends and future directions
M Akbari, TNA Do - Benchmarking: An International Journal, 2021 - emerald.com
Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …
Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
Digital transformation of organizations: what do we know and where to go next?
Digital transformation of organizations: what do we know and where to go next? | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
Performance analysis of machine learning algorithms for big data classification: Ml and ai-based algorithms for big data analysis
In broad, three machine learning classification algorithms are used to discover correlations,
hidden patterns, and other useful information from different data sets known as big data …
hidden patterns, and other useful information from different data sets known as big data …
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
[HTML][HTML] Smartphone sensing for understanding driving behavior: Current practice and challenges
Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …
spotlight, for decomposing complex driving dynamics, enabling the development of user …
Deep reinforcement learning for personalized driving recommendations to mitigate aggressiveness and riskiness: Modeling and impact assessment
EG Mantouka, EI Vlahogianni - Transportation research part C: emerging …, 2022 - Elsevier
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …
Assistance Systems (ADAS), are usually designed based on the behavior of an average …