Suggested Topics within your search.
Suggested Topics within your search.
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On Risk Assessment for Out-of-Distribution Detection
Published 2025-01-01“…First, we show that OOD performance depends on both the rate of outliers and the number of samples processed by a machine learning (ML) model. Second, we introduce a novel perspective that assesses OOD risk by considering the expected maximum risk within a limited sample size. …”
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1186
Detection of Arabic and Algerian Fake News
Published 2024-12-01“…Misinformation, deliberately fabricated or misleading content presented as factual news, poses significant threats to public discourse, trust, and decision-making processes. The research highlights the significance of fake news detection in the Arabic language, with a specific focus on the Algerian dialect. …”
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1187
Microarray Core Detection by Geometric Restoration
Published 2012-01-01“…This demands high-throughput image processing to enable analysis of these tissue samples for diagnosis of cancer and other conditions. …”
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Fire detection using surveillance systems
Published 2024-02-01“…<p class="Abstract">In this research, I present a video-based system to detect Fire in real time taking advantage of already existing surveillance systems for Fire detection either inside or outside the building, Detection of fires with surveillance cameras is characterized by early detection and rapid performance. …”
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DETECTION OF HYDROPEROXIDES IN SOLUTIONS OF PHOTOOXIDIZED PSORALEN
Published 2019-02-01Get full text
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MICROSLEEPS AND THEIR DETECTION FROM THE BIOLOGICAL SIGNALS
Published 2017-12-01“…Besides, the signal processing in the time domain can improve the detection accuracy of the short events like MS.…”
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1193
Lightweight Fire Detection in Tunnel Environments
Published 2025-03-01“…Tunnel fires pose significant challenges to public safety due to their rapid development and the confined nature of tunnel environments. Traditional fire detection systems often struggle with delayed response times and high false alarm rates, particularly in complex scenarios. …”
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1194
Gestational diabetes mellitus: current screening problems
Published 2022-03-01Get full text
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1195
BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection.
Published 2023-05-01“…BERT, a Deep Learning methodology proposed by Google in 2018, brought transfer learning to Natural Language Processing. In this work, we used a BERT model for the Portuguese language called BERTimbau to create models for Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection. …”
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Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband
Published 2025-07-01“…This paper outlines the next steps in the DETECT program, aimed at developing, validating, and preparing for the future implementation of automated cardiac arrest detection technology. …”
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Rapid landslide detection from free optical satellite imagery using a robust change detection technique
Published 2025-02-01“…Abstract In the last decades, the availability of multi-source, multi-scale, and multi-resolution remote sensing data and the consequent progress of processing techniques brought a significant positive impact for landslide detection. …”
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer
Published 2024-11-01“…The proposed model achieved an accuracy of 98.70% and a recall of 93.71% in detecting oral cancerous lesions from photographic images. …”
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LLE-STD: Traffic Sign Detection Method Based on Low-Light Image Enhancement and Small Target Detection
Published 2024-10-01“…The two stages are then coupled to form an end-to-end processing procedure. During experiments, we validate the performance of low-light image enhancement small target detection, and adaptability to images of different qualities using the public datasets GTSDB, TT-100K, and GLARE. …”
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Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection
Published 2024-12-01“…A classification of methods for aligning heterogeneous data in 3D object detection is presented. This paper also highlights the critical challenges in aligning multimodal data, including dynamic environments, sensor fusion, scalability, and real-time processing. …”
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