In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …

Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …

Accurate state of health (SOH) estimation is essential for designing a safe and reliable
battery management systems (BMS). Although data-driven methods have achieved great …

We present a framework for learning multimodal representations from unlabeled data using
convolution-free Transformer architectures. Specifically, our Video-Audio-Text Transformer …

Lithium-ion batteries (LIBs) need to maintain high energy efficiency and power level in
several application scenario. Accurate state of health (SOH) forecast is essential for …

Deep learning (DL) based semantic segmentation methods have been providing state-of-the-
art performance in the last few years. More specifically, these techniques have been …

Deep learning (DL)-based semantic segmentation methods have been providing state-of-
the-art performance in the past few years. More specifically, these techniques have been …

Deep Learning is a machine learning area that has recently been used in a variety of
industries. Unsupervised, semi-supervised, and supervised-learning are only a few of the …

Abstract The Deep Convolutional Neural Network (DCNN) is one of the most powerful and
successful deep learning approaches. DCNNs have already provided superior performance …

COVID-19 is currently one the most life-threatening problems around the world. The fast and
accurate detection of the COVID-19 infection is essential to identify, take better decisions …