Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …

Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …

In this paper, we propose an empirical analysis of deep recurrent neural network (RNN)
architectures with stacked layers. The main aim is to address some fundamental open …

Retinal image analysis holds an imperative position for the identification and classification of
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …

In this paper, we provide a novel approach to the architectural design of deep Recurrent
Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir …

The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Computer-aided image analysis for better understanding of images has been time-honored
approaches in the medical computing field. In the conventional machine learning approach …

Accurate energy forecasting is of great significance for the energy sector to formulate short-
term plans and long-term development strategies for meeting energy needs. This study …

This paper historically attempts to map the significant success of deep neural networks in
notably varied classification problems and application domains with near human-level …