Results 131 to 140 of about 3,987,318 (283)

Design and Application of an Automatic Data Analysis Module for Urban Rail Vehicles

Kongzhi Yu Xinxi Jishu, 2022
In the command system related to the operation and maintenance of urban rail vehicles, data analysis is the basis for real-time vehicle monitoring and state analysis.
DEND Jian
doaj  

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

Systems Engineering, EarlyView.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso, Sara Himmiche, Taiwo Tejumola, Yeshirun Alemayehu, Bertrand Rose   +4 more
wiley   +1 more source

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 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 Low‐Power Radioisotope XRF Spectrometer for Detection of Light Elements on Planetary Missions

X-Ray Spectrometry, EarlyView.
ABSTRACT Current X‐ray spectrometers for in situ geochemical analysis on planetary missions typically rely either on X‐ray tubes, which demand electrical power and add mass and thermal complexity, or on alpha particle X‐ray spectrometers (APXS) that use rare 244Cm$$ {}^{244}\mathrm{Cm} $$ sources, and come with severe concerns on radiation safety and ...
Leandro Silveri, Artem Knyazev, Hashem Alaidaros, Maryam Manzoor Amanullah, Zach Ioannou, Tengiz Ibrayev, Danish Khan, Sara Leardini, Laura Manenti, Simi Maria Emilia Mangani, Safa Naseem, Sandhya Sharma, Sara Trevisan, Alia Zino, Francesco Arneodo   +14 more
wiley   +1 more source

A Self-Configurable IoT-Based Monitoring Approach for Environmental Variables in Rotational Grazing Systems

Informatics
Shaded resting zones in rotational grazing systems are prone to thermal stress due to limited ventilation and the congregation of animals during peak heat periods. Addressing these challenges requires sensing solutions that are not only accurate but also
Rodrigo Garcia, Mario Macea, Samir Castaño, Pedro Guevara   +3 more
doaj   +1 more source

AutoPollS: A tool for automated monitoring of pollinators using deep learning

Methods in Ecology and Evolution, EarlyView.
Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith, Olivia M. Bernauer, Grace Melone, Brett Graham, Julia Wiessing, Rafael Salas, Jeremy Hemberger, Abhishek Bhattacharyya, Acacia T. S. Tang, Elena Rojas, Joshua San Miguel, Brian J. Spiesman, Claudio Gratton, James D. Crall   +13 more
wiley   +1 more source

Tale of Two Centres—Exploring Bedside Challenges to Implementing a Clinical Quality Registry for Abdominal Wall Hernias in Metropolitan Australia

ANZ Journal of Surgery, EarlyView.
ABSTRACT Background In an effort to improve hernia care and mesh product surveillance, the Australia and New Zealand Hernia Society (ANZ Hernia) has been setting up a prototype binational learning healthcare system virtual clinical quality registry (CQR) for clinical use.
Edward Young, Doug Fenton‐Lee, Julian Süsstrunk, Jorgen Ferguson, Matthew Amprayil, Yijie Yin, Rabieh Abu Assi, Alex Karatassas, Sanjeev Khurana, Chrys Hensman, Andrew Tse, Hamish Urquhart, Reginald V. N. Lord, Jean Wong, Darren Tonkin, Markus Trochsler, Guy J. Maddern   +16 more
wiley   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection. [PDF]

Dev Sci
ABSTRACT The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental science has been slower to adopt these technologies. Yet, machine learning holds immense potential to transform this field, enabling scalable and data‐driven insights into developmental processes ...
Nikolov TY, Yurkovic-Harding J, Foldes T, Bradshaw J, Lai YK, D'Souza H.   +5 more
europepmc   +2 more sources