Results 101 to 110 of about 30,520,612 (308)

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges

Roughly every decade, the ACM and IEEE professional organizations have produced recommendations for the education of undergraduate computer science students.
Eaton, Eric, Epstein, Susan L.
core   +1 more source

Artificial Intelligence in Surgery: Promises and Perils

, 2018
Objective: The aim of this review was to summarize major topics in artificial intelligence (AI), including their applications and limitations in surgery.
Guy Rosman, Hashimoto, Daniel A., Rosman, Guy, Rus, Daniela L, Daniel A. Hashimoto, Meireles, Ozanan R., Ozanan R. Meireles, Daniela Rus   +7 more
core   +1 more source

RoadTagger: Robust Road Attribute Inference with Graph Neural Networks

, 2020
Inferring road attributes such as lane count and road type from satellite imagery is challenging. Often, due to the occlusion in satellite imagery and the spatial correlation of road attributes, a road attribute at one position on a road may only be ...
Chawla, Sanjay, Madden, Samuel, Park, Edward, Jagwani, Satvat, Alizadeh, Mohammad, Bastani, Favyen, Sadeghi, Mohammad Amin, He, Songtao, Abbar, Sofiane, Balakrishnan, Hari   +9 more
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Deep Multi‑view Clustering with Dual‑Channel Granular Computing

Nanjing Hangkong Hangtian Daxue Xuebao
In order to deal with the problems of quality differences among different views， ambiguous boundary samples and differences in semantic structures among different views， we propose deep multi-view clustering with dual-channel granular computing.
CAI Chaoyue, MA Xingru, GUO Jing, HU Xin, JU Hengrong, DING Weiping   +5 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Blind Image Quality Assessment Using Visual Neuron Model and Visual Attention Mechanism

International Journal of Digital Multimedia Broadcasting
In this paper, a blind image quality assessment (BIQA) method is proposed, which leverages both a visual neuron model and visual attention mechanism. The research of BIQA is aimed at evaluating the perceptual quality of images without access to reference
Hua-Wen Chang, Ya-Chong Lu, Rui-Jie Sha, Hua Yang   +3 more
doaj   +1 more source

TSGE-Net: A Topology-Spectrum Guided Enhancement Network for SAR Target Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar (SAR) automatic target recognition is an important task in military reconnaissance and maritime monitoring. However, spatial-domain models struggle to preserve the geometric configuration of sparse and discontinuous SAR ...
Jiarui Li, Xutao Sun, Yang Li, Miao Fu, Xiangyang Wang, Yang Liu   +5 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source