Results 131 to 140 of about 2,492,609 (353)

Teaching Computers to Think: Analysis of Artificial Intelligence and Connect Four [PDF]

, 2012
Connect Four is a classic two person, zero-sum game in which players utilize their wits and gravity to connect four of their own pieces in a horizontal, vertical, or diagonal row while blocking their opponent’s attempt to do the same. We have constructed
Baly, Kirk, Freeman, Andrew, Jarratt, Andrew, Kling, Kyle, Prough, Owen   +4 more
core   +1 more source

Synthesis of a Novel Thermoresponsive S53P4 Bioactive Glass Extract–Poloxamer 407 Injectable Hydrogels: Assessment of Biocompatibility and Antimicrobial Properties

Advanced Engineering Materials, EarlyView.
This study investigates innovative thermoreversible hydrogels derived from S53P4 bioactive glass extracts to aid in the healing of infected diabetic foot wounds. These injectable gels, which gel at body temperature, release beneficial ions and remain stable over time.
Marian G. Vargas Guerrero, Adrian Stiller, Alex Nygård, Matej Krivulka, Lars Galema, Erwin Peters, Jimmy Lucchesi, Peter Uppstu, Leena Hupa, Jacobus J. C. Arts   +9 more
wiley   +1 more source

Artificial intelligence in colonoscopy for reducing missed adenomas and polyps: a systematic review and meta-analysis of randomized clinical trials [PDF]

, 2023
Wenjie Song, Shenghan Lou, Yanlong Liu
openalex   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

A multi-INT semantic reasoning framework for intelligence analysis support [PDF]

, 2010
Lockheed Martin Corp. has funded research to generate a framework and methodology for developing semantic reasoning applications to support the discipline oflntelligence Analysis. This chapter outlines that framework, discusses
Herbert, Basik, Mike, Dean, Smith, Barry, Terry, Janssen   +3 more
core  

Remote Fault Identification and Analysis in Electrical Distribution Network Using Artificial Intelligence [PDF]

, 2022
N M G Kumar, A. Hema Sekhar, K. Balaji Nanda Kumar Reddy, M Angulakshmi, Devangkumar Umakant Shah   +4 more
openalex   +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

Synaptic facilitation and learning of multiplexed neural signals

Frontiers in Network Physiology
IntroductionIn this work, we introduce a novel approach to one of the historically fundamental questions in neural networks: how to encode information?
Nigel Crook, Alexander D. Rast, Eleni Elia, Mario Antoine Aoun   +3 more
doaj   +1 more source

An analysis of the application of AI to the development of intelligent aids for flight crew tasks [PDF]

This report presents the results of a study aimed at developing a basis for applying artificial intelligence to the flight deck environment of commercial transport aircraft.
Baron, S., Feehrer, C.
core   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source