Electric vehicles charging infrastructure planning: a review
Electric vehicles (EVs) have gained increasing attention as a more sustainable and
environmentally friendly mode of transportation. Many countries should include …
environmentally friendly mode of transportation. Many countries should include …
[HTML][HTML] Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations
Fibrillar dry adhesives are widely used due to their effectiveness in air and vacuum
conditions. However, their performance depends on various factors. Previous studies have …
conditions. However, their performance depends on various factors. Previous studies have …
[HTML][HTML] Ethics and responsible AI deployment
P Radanliev, O Santos, A Brandon-Jones… - Frontiers in Artificial …, 2024 - frontiersin.org
As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical
ethical issue that must be addressed. This article explores the need for ethical AI systems …
ethical issue that must be addressed. This article explores the need for ethical AI systems …
Optimal Deployment of Electric Vehicles' Fast‐Charging Stations
As climate change has become a pressing concern, promoting electric vehicles'(EVs) usage
has emerged as a popular response to the pollution caused by fossil‐fuel automobiles …
has emerged as a popular response to the pollution caused by fossil‐fuel automobiles …
[HTML][HTML] Estimating energy consumption of battery electric vehicles using vehicle sensor data and machine learning approaches
W Achariyaviriya, W Wongsapai, K Janpoom… - Energies, 2023 - mdpi.com
Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …
[HTML][HTML] Severity prediction of highway crashes in Saudi Arabia using machine learning techniques
Kingdom of Among the G20 countries, Saudi Arabia (KSA) is facing alarming traffic safety
issues compared to other G-20 countries. Mitigating the burden of traffic accidents has been …
issues compared to other G-20 countries. Mitigating the burden of traffic accidents has been …
Designing a hybrid intelligent transportation system for optimization of goods distribution network routing problem
H Daneshvar, S Niroomand, O Boyer… - … in Management and …, 2023 - dmame-journal.org
Given that finding the right and appropriate route in the daytime and busy city with the
occurred traffic limitations is a major problem that not only causes inefficient performance in …
occurred traffic limitations is a major problem that not only causes inefficient performance in …
[HTML][HTML] Metaheruistic optimization based Ensemble machine learning model for designing Detection Coil with prediction of electric vehicle charging time
A Alshammari, RC Chabaan - Sustainability, 2023 - mdpi.com
An efficient charging time forecasting reduces the travel disruption that drivers experience as
a result of charging behavior. Despite the machine learning algorithm's success in …
a result of charging behavior. Despite the machine learning algorithm's success in …
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Recent research indicates that early detection of breast cancer (BC) is critical in achieving
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network
Human behavior prediction is a rapidly evolving field with numerous applications in various
domains. The rapid development of machine learning facilitates research on data-driven …
domains. The rapid development of machine learning facilitates research on data-driven …