Search Results - "Detection Models"

Image-Based Dietary Assessment Using the Swedish Plate Model: Evaluation of Deep Learning-Based You Only Look Once (YOLO) Models

Authors: Chrintz-Gath, Gustav Daivadanam, Meena Matta, Laran et al.

Source: JMIR Formative Research. 9

Subject Terms: food recognition, object detection models, dietary assessment, You Only Look Once, deep learning, machine learning

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-570501
https://doi.org/10.2196/70124

Improving central apnea detection in preterm infants: Neural network strategies and clinical impact

Authors: Varisco, Gabriele Peng, Z. Niemarkt, H. et al.

Source: Computer Methods and Programs in Biomedicine. 272

Subject Terms: Central Apneas, Machine Learning, Neural Networks, Preterm Infants, Alarm Systems, Biomedical Signal Processing, Convolutional Neural Networks, Electrocardiography, Errors, Image Resolution, Neonatal Monitoring, Statistical Tests, Apnea Detection, Detection Models, Machine-learning, Moving Window, Neonatal Intensive Care Units, Network Strategy, Neural-networks, Time Shifts, Learning Systems

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73314
https://doi.org/10.1016/j.cmpb.2025.109038

Comparison of unsupervised image anomaly detection models for sheet metal glue lines

Authors: Chen, Siyuan Bandaru, Sunith Marti, Silvan et al.

Source: Integrated Manufacturing Analytics Platform for IoT Enabled Predictive Maintenance, IMAP project Engineering applications of artificial intelligence. 153(1 August 2025)

Subject Terms: Anomaly detection, Computer vision, Glue line, Unsupervised deep learning, Failure analysis, Glues, Inspection, Redundancy, Unsupervised learning, Anomaly detection models, Anomaly localizations, Detection and localization, False positive, Glue lines, Learning models, Limited training data, Line images, Reliability analysis, Virtual Production Development (VPD)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25147
https://doi.org/10.1016/j.engappai.2025.110740

Contrastive Learning for Lane Detection via cross-similarity

Authors: Zoljodi, Ali Abadijou, S. Alibeigi, M. et al.

Source: Pattern Recognition Letters. 185:175-183

Subject Terms: Contrastive learning, Convolutional neural networks, Lane detection, Adversarial machine learning, Road and street markings, Self-supervised learning, Semi-supervised learning, Condition, Convolutional neural network, Detection models, Input image, Lane markings, Learning methods, Local feature, Real-world scenario, Shape priors

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68260
https://doi.org/10.1016/j.patrec.2024.08.007

Adversarial Attacks on Faster R-CNN Model for Object Detection in Autonomous Vehicles

Authors: Başer, Melike Bahtiyar, Şerif İstanbul University Cerrahpaşa Institutional Repository

Contributors: Başer, Melike Bahtiyar, Şerif İstanbul University Cerrahpaşa Institutional Repository

Source: 2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :330-336

Subject Terms: Object Recognition, Fast R-cnn, Detection Models, Cnn Models, Faster R-cnn, Accurate Prediction, Human Computer Interaction, Objects Detection, Autonomous Vehicles, Statistical Tests, Autonomous Driving, Network Security, Driving Systems, Environmental Awareness, Object Detection, Apolloscape Dateset, Iterative Methods, Adversarial Attacks

Crafting a comprehensive strategy to prevent fraud and enable recovery in mobile insurance in the USA

Authors: Bokka, Veera Venkata Ramana Murthy

Source: International Journal of Science and Research Archive. 14:1794-1807

Subject Terms: Mobile Insurance, Fraud Prevention, Machine Learning, Regulatory Frameworks, Consumer Awareness, Blockchain, Artificial Intelligence, Fraud Recovery, Fraud Detection Models, Digital Identities

Explainable Machine Learning for Central Apnea Detection in Premature Infants

Authors: Varisco, Gabriele Peng, Zheng Andriessen, Peter et al.

Source: 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA). :1-6

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, cen-tral apnea, Apnea of prematurity, detection models, premature infants, explainable machine learning, 3. Good health

Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen

Authors: Dürlich, Luise Gogoulou, Evangelia Guillou, Liane et al.

Source: CEUR Workshop Proceedings. :691-702

Subject Terms: Computational linguistics, Computer aided language translation, Modeling languages, Cross model, Detection models, Evaluation, Generative language model, Hallucination, Internal representation, Language model, Machine translations, Model evaluation, Performance, Machine translation

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-75021
https://ceur-ws.org/Vol-3740/paper-66.pdf

Strengthening Banking Security: Pioneering AI-Driven Identity and Access Management Solutions

Authors: Avinash Chowdary Vikram

Source: International Journal of Intelligent Systems and Applications in Engineering; Vol. 13 No. 1 (2025); 478 – 483

Subject Terms: Personally Identifiable Information (PII), Deepfake Biometric Attacks, AI-Powered Cybersecurity, Biometric Authentication, Generative Adversarial Networks (GANs), Liveness Detection, Behavioural Authentication, Zero Trust, Blockchain Identity Management, Deepfake Detection Models, Synthetic Fingerprint Spoofing, Voice Authentication Attack, Healthcare Cybersecurity, Machine Learning Security, Regulatory Compliance (HIPAA, GDPR, NIST 800-63B)

File Description: application/pdf

Access URL: https://www.ijisae.org/index.php/IJISAE/article/view/7837

Applying Deep Learning to Quantify Drivers of Long‐Term Ecological Change in a Swedish Marine Protected Area

Authors: Christian L. Nilsson Søren Faurby Emil Burman et al.

Source: Ecology and Evolution, Vol 15, Iss 9, Pp n/a-n/a (2025)

Subject Terms: deep learning, hard‐substrate communities, long‐term ecological trends, marine protected areas (MPAs), object detection models, video‐based biodiversity monitoring, Ecology, QH540-549.5

File Description: electronic resource

Relation: https://doaj.org/toc/2045-7758

Access URL: https://doaj.org/article/38ddd2a50c364c1f8e2bc38ee09cb4a9

Machine Learning Meets Tax Fraud: Insights from Slovakia

Authors: Eduard Baumohl Roderik Antol Tomáš Výrost et al.

Source: Ekonomický Časopis, Vol 73, Iss 5-6 (2025)

Subject Terms: tax frauds, detection models, machine learning, earnings management, Economic history and conditions, HC10-1085, Finance, HG1-9999, Economic theory. Demography, HB1-3840

File Description: electronic resource

Relation: https://journals.savba.sk/index.php/ekonomickycasopis/article/view/3902; https://doaj.org/toc/0013-3035; https://doaj.org/toc/2729-7470

Access URL: https://doaj.org/article/76737d1dd7874545917af771cad13d44

Development of Field-Deployable Detection Models for Asbestos Host Rocks Using Close-Range Hyperspectral Imaging and Diverse Lithological Training Data

Authors: Grace Malvine Moughoa Boussoughou Ngolo Jaehyung Yu Lei Wang et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 23526-23547 (2025)

Subject Terms: Detection models, hyperspectral spectroscopy, naturally occurring asbestos (NOA), random forest (RF), support vector machine (SVM), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11147130/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Access URL: https://doaj.org/article/2b24b967b4ab4cf687f968dccfbb1565

Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization, and Resilience to Adversarial Attacks

Authors: Abbasi, Maryam ANTUNES VAZ, PAULO JOAQUIM Silva, José et al.

Contributors: Abbasi, Maryam ANTUNES VAZ, PAULO JOAQUIM Silva, José et al.

Subject Terms: deepfakes, deep learning, XCeption, ResNet, VGG, DFDC, FaceForensics++, adversarial robustness, detection models

File Description: application/pdf

Availability: http://hdl.handle.net/10400.19/9293

Confidence Bands

Authors: Ramon Villa-Cox Evan M. Williams Kathleen M. Carley

Subject Terms: Geology, Cancer, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, including opinion polling, dimensional space using, detection models using, stance detection models, new country contexts, different country contexts, user &# 8217, predict user stances, political stance detection, extrapolate stance predictions, country model performance, impact social applications, extrapolation , political stance, every country, based user, social context, extrapolation power, wide range, tweet encoders, scale weakly, important task, hate speech, future events, existing large

Relation: https://figshare.com/articles/journal_contribution/Confidence_Bands/29419911

Availability: https://doi.org/10.1371/journal.pone.0324697.s001
https://figshare.com/articles/journal_contribution/Confidence_Bands/29419911

An Interpretable Neonatal Lung Ultrasound Feature Extraction and Lung Sliding Detection System Using Object Detectors

Authors: Rodina Bassiouny Adel Mohamed Karthi Umapathy et al.

Source: IEEE J Transl Eng Health Med
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 119-128 (2024)

Subject Terms: Lung ultrasound, M-mode, Computer applications to medicine. Medical informatics, R858-859.7, Infant, Newborn, Pneumothorax, faster RCNN, RetinaNet, Pneumonia, Thorax, object detection models, Article, Hough transform, Medical technology, Humans, Neural Networks, Computer, R855-855.5, Lung

Access URL: https://pubmed.ncbi.nlm.nih.gov/38088993
https://doaj.org/article/f75faa5760294907b47462ead1996b5f

Multi‐species occupancy modeling reveals methodological and environmental effects on eDNA detection of amphibians in temporary ponds

Authors: Sara Peixoto Mário Mota‐Ferreira Cátia Chaves et al.

Contributors: Sara Peixoto Mário Mota‐Ferreira Cátia Chaves et al.

Source: Environmental DNA, Vol 5, Iss 4, Pp 796-811 (2023)

Subject Terms: high‐capacity capsules, time‐to‐detection models, QR100-130, 15. Life on land, high-capacity capsules, time-to-detection models, Environmental sciences, Microbial ecology, multi‐species occupancy models, multi-species occupancy models, 13. Climate action, disc filters, GE1-350, 14. Life underwater, DNA capture methods, species detection probability

File Description: application/pdf

Access URL: https://doaj.org/article/2d57d798f7ae479aba32f2e270bf53a8
http://hdl.handle.net/10400.5/30515
https://hdl.handle.net/10400.5/30515

The Evolution of Deepfake Technology:Methods, Applications, Threats, and Detection Techniques

Authors: Mrs. Snehal Patil, Lakhan Pancholi, Shubham Baraskar, Vikash Rathod, Yash Ragundwar

Source: International Journal of Sciences and Innovation Engineering; Vol. 2 No. 10 (2025): IJSCI VOLUME-02 ISSUE-10 OCTOBER 2025; 144-151 ; 3049-0251

Subject Terms: Deepfake technology, Generative Adversarial Networks (GANs), synthetic media, face swapping, deep learning, misinformation, disinformation, political manipulation, identity theft, biometric security, emotional behavior analysis, hybrid detection models

File Description: application/pdf

Relation: https://ijsci.com/index.php/home/article/view/691/IJSCI02102025016; https://ijsci.com/index.php/home/article/view/691

Availability: https://ijsci.com/index.php/home/article/view/691
https://doi.org/10.70849/IJSCI

METHODS AND MODELS OF COUNTERING GROUP CYBER THREATS BASED ON ARTIFICIAL INTELLIGENCE ; МЕТОДИ ТА МОДЕЛІ ПРОТИДІЇ ГРУПОВИМ КІБЕРЗАГРОЗАМ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ

Authors: Шульга, Володимир Іванченко, Євгенія Берестяна, Тетяна et al.

Source: Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique»; Vol. 2 No. 30 (2025): Cybersecurity: Education, Science, Technique. Special issue.; 593-606 ; Електронне фахове наукове видання «Кібербезпека: освіта, наука, техніка»; Том 2 № 30 (2025): Кібербезпека: освіта, наука, техніка. Спеціальний випуск.; 593-606 ; 2663-4023 ; 10.28925/2663-4023.2025.30

Subject Terms: group cyber threats, artificial intelligence, machine learning, deep learning, information security, detection models, adaptive systems, cyberattacks, big data processing, cybersecurity, групові кіберзагрози, штучний інтелект, машинне навчання, глибинне навчання, інформаційна безпека, моделі виявлення, адаптивні системи, кібератаки, обробка великих даних, поведінковий аналіз, кібербепека

File Description: application/pdf

Relation: https://csecurity.kubg.edu.ua/index.php/journal/article/view/998/829; https://csecurity.kubg.edu.ua/index.php/journal/article/view/998

Availability: https://csecurity.kubg.edu.ua/index.php/journal/article/view/998
https://doi.org/10.28925/2663-4023.2025.30.998

Minimal Data Set Definition.

Authors: Miao Guo Zheng Guan

Subject Terms: Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, similar detection models, level feature extraction, intensity working environment, experiment findings denotes, curve test value, training network oriented, task learning framework, highest recall rate, actual work performance, detecting eye fatigue, average fatigue detection, effectively process multi, controllers &# 8217, average detection time, emotional state analysis, fatigue state, xception network, work states, time analysis, emotional changes, classification task, %22">xlink ">, xception pre, utilize mini, traditional mini, technical support, series data

Relation: https://figshare.com/articles/journal_contribution/Minimal_Data_Set_Definition_/28950054

Availability: https://doi.org/10.1371/journal.pone.0322404.s001
https://figshare.com/articles/journal_contribution/Minimal_Data_Set_Definition_/28950054

YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites

Authors: Mura D. A. Zedda L. Loddo A. et al.

Contributors: Mura D. A. Zedda L. Loddo A. et al.

Subject Terms: computer vision, deep learning, image processing, Trypanosoma detection, YOLO-based architecture, lightweight detection models

Relation: info:eu-repo/semantics/altIdentifier/pmid/40278033; info:eu-repo/semantics/altIdentifier/wos/WOS:001475563900001; volume:11; issue:4; firstpage:1; lastpage:14; numberofpages:14; journal:JOURNAL OF IMAGING; https://hdl.handle.net/11584/443025

Availability: https://hdl.handle.net/11584/443025
https://doi.org/10.3390/jimaging11040117