Results 121 to 130 of about 51,115 (241)

Evaluating Guideline Adherence in Gemini‐Powered Dental Trauma Workflows: Standalone Gemini Chat vs. Document‐Grounded NotebookLM

Dental Traumatology, EarlyView.
ABSTRACT Aim The aim of this study was to compare the accuracy and inter‐account consistency of two Google Gemini–powered, user‐facing workflows for dental trauma decision support: standalone Gemini chat and NotebookLM, a document‐grounded workflow that generates responses grounded in uploaded European Society of Endodontology and International ...
Nicolás Dufey‐Portilla, Francesc Abella Sans, Fernando Duran‐Sindreu, Maria Teresa Salagaray, Venkateshbabu Nagendrababu, Paul V. Abbott, Liran Levin, Marc Garcia‐Font   +7 more
wiley   +1 more source

High-accuracy pipeline A/D convertor configuration

Electronics Letters, 1985
A novel pipeline A/D convertor configuration is proposed which appears to have some speed and accuracy advantages over earlier schemes. Circuits are also given for the compensation of the DC offset voltages of the input S/H stages, and for increasing the time available for signal acquisition.
openaire   +1 more source

A Portable Multi‐Parameter Fluid Monitoring Unit for Real‐Time Measurements During Well Development and Geothermal Operations

Groundwater Monitoring &Remediation, EarlyView.
Abstract Monitoring of fluid parameters during well development, groundwater production, or geothermal operation is essential for the understanding of subsurface and well processes. We developed FluMoMax, a portable fluid monitoring unit, that can measure several physicochemical parameters in real‐time, to monitor fluid characteristics and to enable ...
Lioba Virchow, Jasper Florian Lüdicke, Robert Peksa, Tanja Ballerstedt, Stefan Kranz, Simona Regenspurg   +5 more
wiley   +1 more source

The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg

Information Systems Journal, EarlyView.
ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen, Gunter Beitinger, Helmuth Ludwig, Bill Schiano, Konstantin Schmidt, Jan vom Brocke   +5 more
wiley   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, EarlyView.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source

Evaluating tools for predicting and measuring radiometric performance of germicidal ultraviolet systems

Photochemistry and Photobiology, EarlyView.
An evaluation of simulation and measurement tools for germicidal ultraviolet (GUV) systems is presented to inform their design and deployment to control the spread of airborne pathogens. Abstract Germicidal ultraviolet (GUV) air treatment technologies can be effective and safe for reducing airborne disease transmission.
Valeria Holland, Belal Abboushi, Eduardo Rodriguez‐Feo Bermudez, Jason Tuenge, Annabelle Johnson, Shohoria Shorno, Ernest R. Blatchley III, Gabe Arnold   +7 more
wiley   +1 more source

Accuracy Research for Non-orthogonal Configuration of Inertial Sensors

Electronics and Control Systems
This article deals with accuracy research of the non-orthogonal configuration of inertial sensors based on Allan variance. The influence of changes in the measurement range of the inertial module on the Allan variance was assessed. Based on an analysis of the results of the Allan variance assessment, a procedure for choosing multi-axis MEMS sensors ...
Olha Sushchenko, Yurii Bezkorovainy
openaire   +2 more sources

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists

Developmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT Developmental psychologists are increasingly leveraging mobile and wearable sensors paired with machine learning and artificial intelligence (AI) to automatically detect the everyday behaviors and interactions theorized to drive development.
Kaya de Barbaro, Anna Madden‐Rusnak, Adela Timmons   +2 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, Volume 36, Issue 27, 2 April 2026.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source