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781
MICROSLEEPS AND THEIR DETECTION FROM THE BIOLOGICAL SIGNALS
Published 2017-12-01“…We made a research of recent attitude to the development of the automated MS detection methods. We created an overview of several MS detection approaches based on the measurement of biological signals. …”
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782
Pancreatic Cancer Epidemiology, Detection, and Management
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783
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784
Cloud Detection Challenge-Methods and Results
Published 2025-01-01“…The challenge sets a baseline performance of 89.57% accuracy, 92.73% F1-score, 89.82% precision, and 95.84% recall, inviting participants to develop models to exceed these results. Submissions proposed a wide-range of AI-based approaches, including Transformer and Convolutional Neural Network architectures, showcasing the potential of advanced image analysis techniques in lidar-based cloud detection. …”
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785
Lightweight framework for misbehavior detection in internet of vehicles
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786
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787
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788
BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection.
Published 2023-05-01“…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. We experimented with the two BERTimbau models, base and large. …”
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789
LLE-STD: Traffic Sign Detection Method Based on Low-Light Image Enhancement and Small Target Detection
Published 2024-10-01“…With the continuous development of autonomous driving, traffic sign detection, as an essential subtask, has witnessed constant updates in corresponding technologies. …”
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790
Rapid landslide detection from free optical satellite imagery using a robust change detection technique
Published 2025-02-01“…Due to the complexity of the phenomenon which might involve the displacement of massive rocks, soil, and both wet and dry vegetation from hillslopes, and the significant impact on the safety of the population and road infrastructure, the development of specific procedures for the rapid detection of landslides is extremely challenging. …”
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Is Malware Detection Needed for Android TV?
Published 2025-03-01“…In this study, we focus on the security of Android TVs by developing a lightweight malware detection model specifically for these devices. …”
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793
About Detection of Code Reuse Attacks
Published 2019-06-01“…The developed algorithm is based on a modified QEMU virtualization system. …”
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794
Nested-PCR for detection of Brucella in milk
Published 2008-03-01“…To detect Brucella inflection in milk, a nested-PCR assay was developed by designing outward-directed and inward-directed primers for omp25, omp31 and 16S rRNA genes of Brucella abortus, and optimizing the extraction of Brucella genomic DNA. …”
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795
Carbon Nanoelectrodes for the Electrochemical Detection of Neurotransmitters
Published 2018-01-01“…Carbon-based electrodes have been developed for the detection of neurotransmitters over the past 30 years using voltammetry and amperometry. …”
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796
Biosensors for the detection of flaviviruses: A review
Published 2025-03-01“…The search for fast, easy-to-use, and affordable alternative techniques as a feasible solution for developing countries is leading to the search for new methods in the diagnosis of flaviviruses, such as biosensors.This review provides a comprehensive overview of different biosensor detection strategies for flaviviruses and describes recent advances in diagnostic technologies. …”
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797
Detection of Phantom Reads in Hyperledger Fabric
Published 2024-01-01“…In Hyperledger Fabric (HF), a popular enterprise-grade framework for developing permissioned blockchain platforms, phantom reads are detected during the transaction validation phase. …”
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798
Electrocatalytic detection of Acetaminophen by sodium ferrite
Published 2025-01-01“…The developed electrochemical sensor was found to be efficient for selective and sensitive detection of APN in real samples with quantitative recoveries (> 90 %).…”
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A New Approach to Detecting Deforestation
Published 2024-07-01“…Deforestation in coffee-growing regions has long been difficult to accurately detect at scale, hampering efforts to protect rainforests. …”
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Network Attack Detection for Business Safety
Published 2024-03-01“…In this paper, a machine learning-based approach was developed to detect network attacks. Two Machine learning models were used: Support vector machine and Artificial neural network. …”
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