Traditionally, heuristic-based methods and guided random search are two major categories of workflow scheduling algorithms. Genetic Algorithm (GA) is a well-known guided random search method and has ...

Interpreting a deep Convolutional Neural Network (CNN) involves identifying the features in a hierarchy of layers that contribute to recognition. Although the current approaches serve as methods to ...

With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in high dimensional ...

Perceptual image hashing has emerged as a crucial forensic tool within the Internet of Things (IoT) ecosystem. Traditional perceptual hashing algorithms predominantly rely on global image features to ...

With the widespread application of deep learning and Convolutional Neural Networks (CNN) in image classification, how to effectively improve model performance and reduce its complexity has become a ...

The use of Deep Learning in wavefront sensing has become a tremendous tool that provides an innovative approach to estimate the phase of an aberrated wavefront. Different methods have been developed ...

In a WSN, sensors are always collecting information and transmitting it to other nodes. Their primary uses are in fields like defense, smart city development, and agricultural monitoring. The WSN ...

Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles. This paper constructs a transfer deep reinforcement learning (RL) framework to transform the ...

With the continuous improvement of deep learning technology, it is crucial to improve the accuracy of model prediction. Existing classification prediction models often struggle with low classification ...

This manuscript delineates a sophisticated framework for the recognition of handwritten Hindi characters, employing diverse deep learning methodologies. Within this study, we proffer a methodology for ...

A multitask 2D CNN model is designed for integrated monitoring stress and damage in concrete specimens utilizing the raw impedance signatures of capsule-like smart aggregated (CSA). The fundamental ...

According to the World Report by WHO on Hearing published in March, 2021, nearly 2.5 billion people will be deaf or hard of hearing by the year 2050. In 2020, the uncorrected hearing loss in the world ...