Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads
W Zhong, L Du - Sustainability, 2023 - mdpi.com
Traffic accidents on urban roads are a major cause of death despite the development of
traffic safety measures. However, the prediction of casualties in urban road traffic accidents …
traffic safety measures. However, the prediction of casualties in urban road traffic accidents …
Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model …
One way of reducing environmental pollution is to reduce our dependence on fossil fuels by
replacing them with solar radiation (Rs), which is one of the main sources of clean and …
replacing them with solar radiation (Rs), which is one of the main sources of clean and …
Forecasting model of photovoltaic power based on KPCA-MCS-DCNN
H Gou, Y Ning - Computer Modeling in Engineering & Sciences, 2021 - ingentaconnect.com
Accurate photovoltaic (PV) power prediction can effectively help the power sector to make
rational energy planning and dispatching decisions, promote PV consumption, make full use …
rational energy planning and dispatching decisions, promote PV consumption, make full use …
Investigations on Swarm Optimization Algorithms for Classification of EEG Signals in Detection of Epilepsy
M Sivasankari, R Shakthi, LM Jothi… - … Conference on Smart …, 2023 - ieeexplore.ieee.org
Epilepsy is a mental illness that affects many people around the world. In the clinical setting,
an electroencephalogram (EEG) is the gold standard for brain imaging. Mental retardation …
an electroencephalogram (EEG) is the gold standard for brain imaging. Mental retardation …