Results 81 to 90 of about 56,159 (288)

XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication [PDF]

, 2022
KyungChae Lee
openalex   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Detecting Ineffective Efforts during Expiration for Neonates with Attention RNNs

Current Directions in Biomedical Engineering
Patient-ventilator asynchronies occur during mechanical ventilation when there is a mismatch between the patient’s needs and the ventilator’s settings.
Oprea Camelia, Stegemann Lara, Olivier Lena Sophie, Buglowski Mateusz, Becker Sabine, Orlikowsky Thorsten, Kowalewski Stefan, Schoberer Mark, Stollenwerk André   +8 more
doaj   +1 more source

Scheduling unit processing time arc shutdown jobs to maximize network flow over time: complexity results

, 2013
We study the problem of scheduling maintenance on arcs of a capacitated network so as to maximize the total flow from a source node to a sink node over a set of time periods.
Boland, Natashia, Kalinowski, Thomas, Kapoor, Reena, Kaur, Simranjit   +3 more
core   +1 more source

Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

Interdisciplinary Materials, EarlyView.
This review considers hydrogen halide (HX) gas sensors across functional materials and principles: acoustic, chemical, optical and nanophotonic. The strong acidity and reactivity of HX gases are discussed as constraints for stability and selectivity of these devices.
Xiuzhen Liu, Nikita Tukachev, Kehang Wang, Dmirty Zhirihin, Yaopeng Cheng, Pavel Krasnov, Mingzhao Song, Soslan Khubezhov, Wenping Yin, Emmanuel Stratakis, Sailing He, Andrey L. Rogach, Sergey Makarov   +12 more
wiley   +1 more source

Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. Methods A multicenter retrospective study analyzed data from 9674 singleton pregnancies with estimated fetal weight (EFW) within 7 days of delivery.
Omer Dor, Eran Ashwal, May Cohen, Ori Rottenstreich, Yariv Yogev, Noam Shomron, Misgav Rottenstreich   +6 more
wiley   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

Journal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

Integrating XAI and GeoAI

, 2021
GIScience 2021 Short Paper Proceedings. 11th International Conference on Geographic Information Science. September 27-30, 2021. Poznań, Poland (Online).
Xing, Jin, Sieber, Renee
openaire   +3 more sources

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

XAI架构探索与实践

大数据
可解释AI（explainable AI，XAI）是可信AI技术的重要组成。当前，业界对XAI的技术点展开了深入的研究，但在工程化实施方面尚缺少系统性研究。提出了一种通用的XAI技术架构，从原子解释生成、核心能力增强、业务组件嵌入、可信解释应用4个方面入手，设计了XAI基础能力层、XAI核心能力层、XAI业务组件层、XAI应用层4个层级，通过各技术层之间的分工协作，XAI工程化的落地实施得到了全流程保障。基于该XAI架构，可以灵活地引入新的技术模块，支撑XAI的产业化应用 ...
夏正勋, 唐剑飞, 杨一帆, 罗圣美, 张燕, 谭锋镭, 谭圣儒
doaj   +1 more source