The interpretability of the activity signal detection model for wood-boring pests Semanotus bifasciatus in the larval stage.
Sign Up to like & getrecommendations! Published in 2023 at "Pest management science"
DOI: 10.1002/ps.7566
Abstract: BACKGROUND The acoustic detection model of activity signals based on deep learning could detect wood-boring pests accurately and reliably. However, the black-box characteristics of the deep learning model limited the credibility of the results and… read more here.
Keywords: interpretability; activity; model; detection model ... See more keywords
Yolo-tla: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-024-01519-4
Abstract: Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face notable challenges, primarily the inaccurate detection or missed detection of small objects.… read more here.
Keywords: detection; object detection; detection model; yolo tla ... See more keywords
The application of a novel neural network in the detection of phishing websites
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0786-3
Abstract: In recent years, security incidents of website occur increasingly frequently, and this motivates us to study websites’ security. Although there are many phishing detection approaches to detect phishing websites, the detection accuracy has not been… read more here.
Keywords: phishing detection; detection; detection model; phishing websites ... See more keywords
An R–A dual network detection model for abnormal behavior of running vehicles
Sign Up to like & getrecommendations! Published in 2024 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-024-04861-7
Abstract: Detection of abnormal behavior of running vehicles plays an essential role in road traffic safety. The R–A (ResNet–Adaboost) dual network detection model was proposed to cope with the problem that the existing detection model of… read more here.
Keywords: detection; detection model; dual network; network detection ... See more keywords
Detection of no-model input-output pairs in closed-loop systems.
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DOI: 10.1016/j.isatra.2017.08.018
Abstract: The detection of no-model input-output (IO) pairs is important because it can speed up the multivariable system identification process, since all the pairs with null transfer functions are previously discarded and it can also improve… read more here.
Keywords: output pairs; input output; loop systems; model ... See more keywords
Rumor detection model with weighted GraphSAGE focusing on node location
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-76738-7
Abstract: While social media platforms promote people’s information exchange and dissemination, they also make rumors spread rapidly on online platforms. Therefore, how to detect rumors quickly, timely and accurately has become a hot topic for scholars… read more here.
Keywords: detection model; model; graphsage; rumor detection ... See more keywords
Deliod a lightweight detection model for intestinal organoids based on deep learning
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DOI: 10.1038/s41598-025-89409-y
Abstract: Intestinal organoids are indispensable tools for exploring intestinal disorders. Deep learning methodologies are often employed in morphological analysis to evaluate the condition of these organoids. Nonetheless, prevailing analytical techniques face obstacles such as many organisational… read more here.
Keywords: detection; deep learning; detection model; intestinal organoid ... See more keywords
ID-insensitive deepfake detection model based on multi-attention mechanism
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-96254-6
Abstract: Deepfake technology has enabled the widespread distribution of manipulated facial content online, raising serious societal concerns. In recent years, deepfake detection has emerged as a critical research focus. However, existing methods frequently overlook the connection… read more here.
Keywords: detection; detection model; attention; attention mechanism ... See more keywords
A weighted Weibull detection model for line transect sampling: application on wooden stake perpendicular distance data
Sign Up to like & getrecommendations! Published in 2024 at "Cogent Engineering"
DOI: 10.1080/23311916.2024.2303237
Abstract: Abstract The line transect survey method is commonly used to estimate the population size. However, recent developments in this field have tended to prefer practical mathematical models for this purpose. In this study, a new… read more here.
Keywords: population size; line transect; model; detection model ... See more keywords
A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks
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DOI: 10.1109/access.2018.2868993
Abstract: More and more network traffic data have brought great challenge to traditional intrusion detection system. The detection performance is tightly related to selected features and classifiers, but traditional feature selection algorithms and classification algorithms can’t… read more here.
Keywords: detection; network; model; detection model ... See more keywords
Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3168794
Abstract: Every day, hundreds of thousands of new malware programs are developed and spread worldwide in cyberspace. Most of these malware programs are malware variants such as polymorphic and metamorphic malware, which are created from older… read more here.
Keywords: malware variant; variant detection; detection model; malware ... See more keywords