Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

The ELVD (Ensemble-based Lenet VGGNet and DropoutNet) model is used in this paper to
examine hypothetical principles and theoretical identification of a real-time image …

The existence of solid-phase nanoparticles remarkably improves the thermal conductivity of
the fluids. The enhancement in this property of the nanofluids is affected by different items …

The oil spray cooling is emerging as advanced thermal management technique for next
generation electric traction motor. The performance of oil spray cooling needs to be mapped …

The present study elaborates the suitability of the artificial neural network (ANN) and
adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the …

Hundreds of people are injured or killed in road accidents. These accidents are caused by
several intrinsic and extrinsic factors, including the attentiveness of the driver towards the …

In this study, we present the performance of Support Vector Machine (SVM), Convolution
Neural Network (CNN), and Artificial Neural Network (ANN) with Bag of Words (BoW) …

The limitations of existing commercial indirect liquid cooling have drawn attention to direct
liquid cooling for battery thermal management in next-generation electric vehicles. To …

Mobile learning is a promising and widely adopted mode of education nowadays. However,
to the best of our knowledge, there have been no studies that have investigated publications …

In this paper, a deep learning based road traffic signs recognition method is developed
which is very promising in the development of Advanced Driver Assistance Systems (ADAS) …