Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms have been proposed. Second, theoretical i...
Image classification has always been a hot research direction in the world, and the emergence of deep learning has promoted the development of this field. Along the way, we analyze (1) the basic struc...
This research explores Whole-cell segmentation of tissue images with human-level pe..., contributing new insights to the field of Artificial Intelligence.
This research explores Explainable artificial intelligence: a comprehensive review, contributing new insights to the field of Artificial Intelligence.
In the Industry 4.0 era, automation and data analytics emerge as the major forces to enhance efficiency in operations management (OM). is proposed and the roles played by policy makers are also discus...
We describe new tools for the processing of electron cryo-microscopy (cryo-EM) images in the fourth major release of the RELION software. The new tools are aimed at providing fast and robust procedure...
Abstract Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning...
This research explores Multi-sensor information fusion based on machine learning fo..., contributing new insights to the field of Artificial Intelligence.
This research explores Horizontal gene transfer and adaptive evolution in bacteria, contributing new insights to the field of Artificial Intelligence.
Inspired by physically adaptive, agile, reconfigurable and multifunctional soft-bodied animals and human muscles, soft actuators have been developed for a variety of applications, including soft gripp...
This research explores Artificial hummingbird algorithm: A new bio-inspired optimiz..., contributing new insights to the field of Artificial Intelligence.
Attention is an important mechanism that can be employed for a variety of deep learning models across many different domains and tasks. Additionally, the various measures for evaluating attention mode...
The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. New design principles of wireless networks, service-driven resource allocation optimiza...
This research explores Reptile Search Algorithm (RSA): A nature-inspired meta-heuri..., contributing new insights to the field of Artificial Intelligence.
Command-line annotation software tools have continuously gained popularity compared to centralized online services due to the worldwide increase of sequenced bacterial genomes. It is freely available...
In the last few years, intensive research has been done to enhance artificial intelligence (AI) using optimization techniques. This paper includes some results for improving the ANN performance by PSO...
Since its initial description, the concept of autism has been firmly rooted within the conventional medical paradigm of child psychiatry. We then outline the ways in which fundamental elements of the...
Y Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and techno...
Machine learning has been the corner stone in analysing and extracting information from data and often a problem of missing values is encountered. Evaluation is performed on the Iris and novel power p...
This research explores Disease variant prediction with deep generative models of ev..., contributing new insights to the field of Artificial Intelligence.