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.
A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present a...
Abstract Inspired by natural porous architectures, numerous attempts have been made to generate porous structures. Additionally, actual multidisciplinary applications are presented to clarify the adva...
This research explores survey of modern deep learning based object detection models, contributing new insights to the field of Artificial Intelligence.
The immune system is a complex, dynamic, and plastic ecosystem composed of multiple cell types that constantly sense and interact with their local microenvironment to protect from infection and mainta...
Abstract Version 5.0 of the ORCA quantum chemistry program suite was released in July 2021. The article describes the most salient features of the program.
However, it remains unknown whether the impact of SARS-CoV-2 infection can be detected in milder cases, and whether this can reveal possible mechanisms contributing to brain pathology. These mainly li...
a product of Thomson ISI (Institute for Scientific Information).JCR provides quantitative tools for evaluating journals.The impact factor is one of these; it is a measure of the frequency with which t...
Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. Subsequently, we perform an in-depth analysis of noise rate estimation and summarize the typ...
We present DINO (\textbf{D}ETR with \textbf{I}mproved de\textbf{N}oising anch\textbf{O}r boxes), a advanced end-to-end object detector. Compared to other models on the leaderboard, DINO significantly...
This research explores review on poly lactic acid (PLA) as a biodegradable polymer, contributing new insights to the field of Engineering & Technology.
Additive manufacturing (AM) has gained significant attention due to its ability to drive technological development as a sustainable, flexible, and customizable manufacturing scheme. Then, the diverse...
This research explores Data-driven probabilistic machine learning in sustainable sm..., contributing new insights to the field of Artificial Intelligence.
This research explores AI for next generation computing: Emerging trends and future..., contributing new insights to the field of Artificial Intelligence.
Making language models bigger does not inherently make them better at following a user's intent. Moreover, InstructGPT models show improvements in truthfulness and reductions in toxic output generatio...
Section I - Essential Hematologic Concepts Section II - Hemopoiesis Section III - The Erythrocytes Section IV - Leukocytes - Lymphocytes Section V - Leukocytes - Nonlymphoid Leukocytes Section VI - He...
This research explores Inflammation and immune dysfunction in Parkinson disease, contributing new insights to the field of Medicine & Biology.
Prevalence estimates of autism are essential for informing public policy, raising awareness, and developing research priorities. Prevalence estimates increased over time and varied greatly within and...
This research explores Molecular contrastive learning of representations via graph..., contributing new insights to the field of Artificial Intelligence.
Abstract Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. Such data-driven studies are ve...
BACKGROUND: A rapid increase in coronavirus disease 2019 (Covid-19) cases due to the omicron (B.1.1.529) variant of severe acute respiratory syndrome coronavirus 2 in highly vaccinated populations has...