Results 121 to 130 of about 1,402,234 (289)

Artificial Intelligence and Digital Technologies in Brazilian Earth Sciences: A Scientometric Analysis of Journal Publications (2016–2025)

Journal of the Geological Survey of Brazil
This study presents a comprehensive scientometric analysis of artificial intelligence (AI) and digital technologies research in Brazilian Earth sciences, examining 1,523 Scopus-indexed journal publications from 2016 to 2025.
Mallikarjun Kappi, Ghouse Modin Nabeesab Mamdapur, Muthukrishnan Mayilsamy   +2 more
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

CCLPH: community-centric approach to link prediction in hyper complex networks

Scientific Reports
Link Prediction (LP) in hypergraphs is a critical challenge in graph science, facilitating the identification of latent or emerging connections in complex systems.
Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Bhaskar Biswas   +3 more
doaj   +1 more source

A Keyword Search and Citation System for RDF Graphs. [PDF]

, 2019
In recent years, the Resource Description Framework (RDF) has become the de-facto standard to represent heterogeneous semi-structured data on the web. RDF datasets are interrogated with SPARQL, a structured query language which is often not intuitive for the nonexpert users, due to its syntax and the necessity to know the structure of the underlying ...
openaire   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

National and International Monitoring of Student Literacy and Numeracy Attainment: The Case for Rigorous Macro and Micro Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT In her 2024 paper Are Australian students' academic skills declining? Interrogating 25 years of national and international standardised assessment data, Larsen compiled an impressive summary of major international (PISA, PIRLS and TIMSS) and national (NAPLAN) standardised assessments pertaining to literacy and numeracy.
Pamela C. Snow, Tanya A. Serry, Jennifer Buckingham, Lorraine S. Hammond, Stephen Dinham, Eamon Charles, Tessa A. Weadman, Nathanial R. Swain, Susan Hiland, Tessa Daffern   +9 more
wiley   +1 more source

Multi-Feature-Enhanced Academic Paper Recommendation Model with Knowledge Graph

Applied Sciences
This paper addresses the challenges of data sparsity and personalization limitations inherent in current recommendation systems when processing extensive academic paper datasets.
Le Wang, Wenna Du, Zehua Chen
doaj   +1 more source