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.
The affordances of artificial intelligence (AI) have not been totally utilized in education. For teachers to deploy AI in education efficiently, TK is meaningful when it is combined with pedagogical k...
Purpose Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality manageme...
Particle swarm optimization (PSO) is one of the most famous swarm-based optimization techniques inspired by nature. In the present paper, an overview of the PSO algorithm is presented.
Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. Experiments on both public and our self-developed datasets demonstrate the effectiveness...
La extracción automática de información de documentos de identidad es una tarea fundamental en diferentes procesos digitales como registros, solicitud de productos, validación de identidad, entre otro...
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers i...
Abstract Researchers are defining new types of interactions between humans and machine learning algorithms generically called human-in-the-loop machine learning. In this paper we review the state of t...
Abstract Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge devices calls for unprecedented energy efficiency of edge hardware. Although efficiency, versatili...
It is our great pleasure to welcome you back in person after a 2-year hiatus to the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2022), which is held between Aug...
OBJECTIVE: To develop a reporting guideline for overviews of reviews of healthcare interventions. The checklist, along with rationale and example for each item, provides guidance for authors that will...
This research explores Object detection using YOLO: challenges, architectural succe..., contributing new insights to the field of Artificial Intelligence.
This research explores Partial Least Squares Structural Equation Modeling (PLS-SEM)..., contributing new insights to the field of Artificial Intelligence.
Narrative reviews are a type of knowledge synthesis grounded in a distinct research tradition. Narrative reviews do not aim to be systematic syntheses that answer a specific, highly focused question;...
This research explores Learning to Prompt for Vision-Language Models, contributing new insights to the field of Artificial Intelligence.
This research explores Ensemble deep learning: A review, contributing new insights to the field of Artificial Intelligence.
This research explores Transformer-based unsupervised contrastive learning for hist..., contributing new insights to the field of Artificial Intelligence.
Protein design aims to build novel proteins customized for specific purposes, thereby holding the potential to tackle many environmental and biomedical problems. AlphaFold prediction of ProtGPT2-seque...
Abstract Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode model equations, like Partial Differential Equations (PDE), as a component of the neural network itself. The stud...
Classifier guidance is a recently introduced method to trade off mode coverage and sample fidelity in conditional diffusion models post training, in the same spirit as low temperature sampling or trun...
This research explores Focal and efficient IOU loss for accurate bounding box regre..., contributing new insights to the field of Artificial Intelligence.