A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
Security in 5G and beyond recent advances and future challenges
Abstract 5G, 6G, and beyond (xG) technologies aim at delivering emerging services with
new requirements and challenges, enabling full and hyper mobile connectivity over the …
new requirements and challenges, enabling full and hyper mobile connectivity over the …
Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area
Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …
accidents is critical to maritime traffic safety management. An accident analysis framework …
Road car accident prediction using a machine-learning-enabled data analysis
S Pourroostaei Ardakani, X Liang, KT Mengistu, RS So… - Sustainability, 2023 - mdpi.com
Traffic accidents have become severe risks as they are one of the causes of enormous
deaths worldwide. Reducing the number of incidents is critical to saving lives and achieving …
deaths worldwide. Reducing the number of incidents is critical to saving lives and achieving …
[HTML][HTML] Comparison of random forest and support vector machine regression models for forecasting road accidents
One of the world's concerns today is the rate of road traffic accidents (RTA). The
overwhelming majority of these accidents occur in low and middle-income countries. RTA …
overwhelming majority of these accidents occur in low and middle-income countries. RTA …
Predicting and analyzing road traffic injury severity using boosting-based ensemble learning models with SHAPley Additive exPlanations
Road traffic accidents are one of the world's most serious problems, as they result in
numerous fatalities and injuries, as well as economic losses each year. Assessing the …
numerous fatalities and injuries, as well as economic losses each year. Assessing the …
Smart mobility with Big Data: approaches, applications, and challenges
Many vehicles are connected to the Internet, and big data are continually created. Various
studies have been conducted involving the development of artificial intelligence, machine …
studies have been conducted involving the development of artificial intelligence, machine …
A decision tree model for the prediction of the stay time of ships in Brazilian ports
LR Abreu, ISF Maciel, JS Alves, LC Braga… - … Applications of Artificial …, 2023 - Elsevier
Maritime transport is an alternative modal logistic in transporting cargo for long distances
and in large quantities. However, the logistical planning for this modal becomes costly due …
and in large quantities. However, the logistical planning for this modal becomes costly due …
Digital transformation through advances in artificial intelligence and machine learning
The digital transformation (DT) is the acquiring the digital tool, techniques, approaches,
mechanism etc. for the transformation of the business, applications, services and upgrading …
mechanism etc. for the transformation of the business, applications, services and upgrading …
[HTML][HTML] The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends
Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …
community for addressing complex issues in intelligent transportation. This has resulted in …