[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
From distributed machine to distributed deep learning: a comprehensive survey
Artificial intelligence has made remarkable progress in handling complex tasks, thanks to
advances in hardware acceleration and machine learning algorithms. However, to acquire …
advances in hardware acceleration and machine learning algorithms. However, to acquire …
[HTML][HTML] Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data
Cycling, as a routine mode of travel, offers significant benefits in promoting health,
eliminating emissions, and alleviating traffic congestion. Many cities, including London, have …
eliminating emissions, and alleviating traffic congestion. Many cities, including London, have …
Analysis of Fatal Construction Accidents in Indonesia—A Case Study
Booming demand for facilities and infrastructure in Indonesia has led to an increase in
construction-related accidents. Court rulings provide valuable data on accident …
construction-related accidents. Court rulings provide valuable data on accident …
Leveraging positive-unlabeled learning for enhanced black spot accident identification on greek road networks
Identifying accidents in road black spots is crucial for improving road safety. Traditional
methodologies, although insightful, often struggle with the complexities of imbalanced …
methodologies, although insightful, often struggle with the complexities of imbalanced …
An interpretable XGBoost‐based approach for Arctic navigation risk assessment
Abstract The Northern Sea Route (NSR) makes travel between Europe and Asia shorter and
quicker than a southern transit via the Strait of Malacca and Suez Canal. It provides greater …
quicker than a southern transit via the Strait of Malacca and Suez Canal. It provides greater …
Road crash injury severity prediction using a graph neural network framework
Crash severity prediction is a challenging research area, where the objective is to accurately
assess the extent of severity of an injury resulting from road traffic accidents. The main aim of …
assess the extent of severity of an injury resulting from road traffic accidents. The main aim of …
[HTML][HTML] Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and …
Speeding is one of the most common aberrant driving behaviors among the driving
population. Although research on speeding behavior among drivers has increased over the …
population. Although research on speeding behavior among drivers has increased over the …
The state of art in machine learning applications in civil engineering
Abstract Machine learning (ML) is one of the methods used by the artificial intelligence
approach. Machine learning is used to teach machines how to handle data more efficiently …
approach. Machine learning is used to teach machines how to handle data more efficiently …
Performance evaluation of metaheuristics-tuned recurrent networks with VMD decomposition for Amazon sales prediction
The exchange of goods and services for the sake of production, resale, or other
organizational needs is known as business-to-business, or B2B, purchasing. It entails a …
organizational needs is known as business-to-business, or B2B, purchasing. It entails a …