Results 41 to 50 of about 759 (182)

Explainable Attention‐Enhanced Approach for Multimodal Breast Cancer Diagnosis Across Diverse Imaging Modalities

International Journal of Imaging Systems and Technology, Volume 35, Issue 6, November 2025.
ABSTRACT Early and accurate detection of breast cancer is critical for improving survival rates. This study presents a robust deep learning framework that integrates convolutional and attention‐based modules to enhance feature extraction across various imaging modalities.
Uzma Nawaz, Zubair Saeed, Hafiz Muhammad UbaidUllah, Farheen Mirza, Mirza Muzzamil   +4 more
wiley   +1 more source

SiD ECal Geometry

, 2018
In the validated SiD design, the electromagnetic calorimeter (ECal) barrel sits between the silicon tracker and the hadron calorimeter (HCal), at an inner radius of 1264 mm from the interaction point with a z extent of 3.53 m. It is made of twelve trapezoidal modules that extend the full z length of the detector.
Steinhebel, Amanda, Brau, James
openaire   +2 more sources

Punxa: A Python‐Based RISC‐V System Simulator for Education

Electronics Letters, Volume 61, Issue 1, January/December 2025.
This work introduces an interactive co‐simulation framework that helps students understand computer architecture by bridging hardware and software analysis. Prioritizing detailed analysis over performance, it provides an integrated environment for iterative design, performance evaluation, and debugging.
David Castells‐Rufas, David Novo, Xavier Martorell   +2 more
wiley   +1 more source

Integrating Linear Skip‐Attention With Transformer‐Based Network of Multi‐Level Features Extraction for Partial Point Cloud Registration

IET Image Processing, Volume 19, Issue 1, January/December 2025.
We improve the pertinence of seeking the potential overlapping regions by incorporating linear dual attention module into hierarchical residual layers to selectively strengthen the potential common features detection from low‐ to high‐level, coupled with a pyramid‐structured decoder to extract multi‐level features in same shape that is essential for ...
Qinyu He, Tao Sun
wiley   +1 more source

Cooling of ECAL and HCAL

, 2017
CLIC Detector and Physics Collaboration Meeting, Geneva, CERN, Switzerland, 29 Aug 2017 - 30 Aug ...
openaire   +4 more sources

An Intelligent Retaining Wall Selection System Based on Stacking Integrated Model

Advances in Civil Engineering, Volume 2025, Issue 1, 2025.
The selection of retaining wall systems is still a challenging work due to the various uncertain factors in deep excavation. Previous studies indicate that machine learning technique is an intelligent auxiliary tool, capable of assisting engineers to select appropriate retaining wall systems at the early phase of a project.
Li Huang, Yaoyao Pei, Zhenyuan Luo, Zhi Chen, Lunpeng Li, Xia Bian   +5 more
wiley   +1 more source

Predicting specific injury patterns from crash data: a GIDAS-based and manufacturer-independent logistic regression approach for next generation eCall

Transportation Research Interdisciplinary Perspectives
Background: While prehospital traffic fatalities remain a critical challenge, current eCall systems transmit limited injury-relevant data, and existing prediction models often fail to support targeted prehospital triage.
Michael Hetz, Angela Schubert, Thomas Unger, Henrik Liers, Klaus-Dieter Schaser, Prof. Dr. med., Christian Kleber   +5 more
doaj   +1 more source

Prediction of Patients With Anaplastic Thyroid Carcinoma With Bone Metastasis: A Population‐Based Study

International Journal of Endocrinology, Volume 2025, Issue 1, 2025.
Background: Bone metastasis (BM) is a significant risk factor for the survival and prognosis of patients with anaplastic thyroid carcinoma (ATC). The aim of this study was to predict BM in patients with ATC. Methods: Demographic and clinicopathological data of patients with ATC were extracted from the Surveillance, Epidemiology, and End Results ...
Yisong Yao, Guibin Zheng, Xi Chen, Yaqi Wang, Congxian Lu, Jiaxuan Li, Ting Yuan, Caiyu Sun, Yakui Mou, Yumei Li, Xicheng Song, Suraiya Saleem   +11 more
wiley   +1 more source

Applying LLMs to Active Learning: Toward Cost‐Efficient Cross‐Task Text Classification Without Manually Labeled Data

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Machine learning–based classifiers have been used for text classification, such as sentiment analysis, news classification, and toxic comment classification. However, supervised machine learning models often require large amounts of labeled data for training, and manual annotation is both labor‐intensive and requires domain‐specific knowledge, leading ...
Yejian Zhang, Shingo Takada, Lijie Wen
wiley   +1 more source

Einfluss von eCall auf das Prozessmanagement in Integrierten Leitstellen [PDF]

, 2018
Um die von der EU Kommission definierte Strategie „Vision Zero“, bei der die Zahl der Verkehrstoten bis zum Jahr 2050 gegen Null gehen soll, zu erreichen, wurde unter anderem der 112-eCall-Notruf eingeführt. Dieser muss in bestimmten Fahrzeugmodellen mit
Gleißner, Anna
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