Výsledky vyhledávání - "detection algorithms"

A stochastic approach for parameter optimization of feature detection algorithms for non-target screening in mass spectrometry

Autoři: Sadia, Mohammad Boudguiyer, Youssef Helmus, Rick a další

Zdroj: Analytical and Bioanalytical Chemistry. 417(27):6033-6047

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-54923
https://doi.org/10.1007/s00216-024-05425-3

Blemish detection algorithms for image sensor improvement and qualification during camera production

Autoři: Fernandes, André Reis

Témata: Industrial quality control, Image sensor quality, RAW images, Class Imbalance, Blemish detection, Generative adversarial networks, Feature engineering, Anomaly detection, Isolation forest algorithm, One-class SVM algorithm

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10773/45758

Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures

Autoři: Paparrizos, John Boniol, Paul Liu, Qinghua a další

Přispěvatelé: Paparrizos, John Boniol, Paul Liu, Qinghua a další

Zdroj: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :6151-6161

Témata: Outlier Detection, Time-Series Analysis, Anomaly Detection, [INFO] Computer Science [cs]

Popis souboru: application/pdf

Přístupová URL adresa: https://inria.hal.science/hal-05218929v1/document
https://doi.org/10.1145/3711896.3736565
https://inria.hal.science/hal-05218929v1

CoDÆN: Benchmarks and Comparison of Evolutionary Community Detection Algorithms for Dynamic Networks

Autoři: Giordano Paoletti Luca Gioacchini Marco Mellia a další

Zdroj: ACM Transactions on the Web. 19:1-25

Témata: Community Detection, Dynamic Network, Online Networks, Modularity, Benchmark

Popis souboru: application/pdf

A Performance Comparison of Object Detection Algorithms on Traffic Scenes in Indian Roads

Autoři: Bhakti Paranjape Apurva Naik S. Perumal Sankar

Zdroj: Engineering, Technology & Applied Science Research. 15:25492-25498

Breast Cancer Detection Algorithms: A Comparative Review of Leading Artificial Intelligence Models

Autoři: Tahmineh Ezazi Bojnordi Saba Pourali Fatemeh Haghighat a další

Zdroj: InfoScience Trends. 2:57-77

Assessing the efficiency of the cancer detection algorithms using synthetic data based on machine learning

Autoři: Sh. I. Khaydarov

Zdroj: «System analysis and applied information science». :46-53

General Modular Graphs: a benchmark network model for testing community detection algorithms

Autoři: Abhinav Kumar Pawan Kumar Ravins Dohare

Zdroj: Journal of Ambient Intelligence and Humanized Computing. 16:905-919

Survey and Analysis of Collision Detection Algorithms in Blender

Autoři: Giovanni Argueta Nestor Michael C. Tiglao

Zdroj: 2025 International Conference on Smart Applications, Communications and Networking (SmartNets). :1-5

Network Traffic Anomaly Detection Algorithms on Distributed Systems using Cognitive Intelligence

Autoři: Ning Pan

Zdroj: Scalable Computing: Practice and Experience. 26:2286-2295

Intelligent Analysis Methods for Multi-channel Marketing Data Based on Anomaly Detection Algorithms

Autoři: Yisi Liu

Zdroj: Proceedings of the 2nd International Conference on Image Processing, Machine Learning, and Pattern Recognition. :198-206

Mitigation of Poisoning Attacks in Radio Frequency Fingerprinting (RFF) with Outlier Detection Algorithms

Autoři: Gianmarco Baldini

Zdroj: 2025 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). :1-6

Novel Learning-Based Multiuser Detection Algorithms for Spatially Correlated MTC

Autoři: Thushan Sivalingam Samitha Gunarathne Nurul Huda Mahmood a další

Zdroj: IEEE Internet of Things Journal. 12:23169-23181

Regional and Temporal Variability of Atmospheric River Seasonality: Influences of Detection Algorithms and Moisture Transport Dynamics

Autoři: Kamnani, Diya O’Brien, Travis A Smith, Samuel a další

Zdroj: Journal of Geophysical Research: Atmospheres. 130(14)

Témata: 37 Earth Sciences (for-2020), 3701 Atmospheric Sciences (for-2020), 13 Climate Action (sdg), atmospheric rivers, atmospheric dynamics, moisture transport, seasonal variability, ARTMIP, uncertainty quantification, 0401 Atmospheric Sciences (for), 0406 Physical Geography and Environmental Geoscience (for), 3701 Atmospheric sciences (for-2020), 3702 Climate change science (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3n25k0bm
https://escholarship.org/content/qt3n25k0bm/qt3n25k0bm.pdf

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems

Autoři: Antoine Saab Abdul Hamid Dabboussi Cynthia Abi Khalil a další

Zdroj: Studies in Health Technology and Informatics ISBN: 9781643685960

Témata: Machine Learning, Humans, COVID-19, Detection Algorithms, Epidemics, Hepatitis C, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40380686

SzCORE: Seizure Community Open‐Source Research Evaluation framework for the validation of electroencephalography‐based automated seizure detection algorithms

Autoři: Jonathan Dan Una Pale Alireza Amirshahi a další

Zdroj: Epilepsia
Dan, J, Pale, U, Amirshahi, A, Cappelletti, W, Ingolfsson, T M, Wang, X, Cossettini, A, Bernini, A, Benini, L, Beniczky, S, Atienza, D & Ryvlin, P 2024, 'SzCORE : Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms', Epilepsia. https://doi.org/10.1111/epi.18113

Témata: brain imaging data structure, seizure detection algorithms, electroencephalography, machine‐learning benchmark, machine-learning benchmark

Popis souboru: application/pdf; application/application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39292446
https://onlinelibrary.wiley.com/doi/10.1111/epi.18113
https://doi.org/10.1111/epi.18113
https://hdl.handle.net/11585/1004726
http://hdl.handle.net/20.500.11850/695780
http://www.scopus.com/inward/record.url?scp=85204422871&partnerID=8YFLogxK
https://doi.org/10.1111/epi.18113
https://pure.au.dk/portal/en/publications/07c85fb1-d849-45a6-97fe-0004383d33ca

Illusory speeding-up and slowing-down of objects moving at constant speed emerges from natural motion detection algorithms.

Autoři: Handojo EL Durant S Zanker JM a další

Zdroj: Proceedings. Biological sciences [Proc Biol Sci] 2025 Apr; Vol. 292 (2044), pp. 20242219. Date of Electronic Publication: 2025 Apr 02.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Royal Society of London Country of Publication: England NLM ID: 101245157 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2954 (Electronic) Linking ISSN: 09628452 NLM ISO Abbreviation: Proc Biol Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Detection Algorithms* , Illusions* , Motion Perception*, Humans ; Algorithms

Timing performance benchmarking of out-of-distribution detection algorithms

Autoři: Luan, Siyu Gu, Zonghua Saremi, Amin a další

Zdroj: Journal of Signal Processing Systems. 95(12):1355-1370

Témata: Deep Learning, Embedded systems, Machine Learning, Out-of-Distribution detection, Real-time systems

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-206357
https://doi.org/10.1007/s11265-023-01852-0

Comprehensive safety profile of dipeptidyl peptidase-4 inhibitors: a post-marketing study based on FAERS database using signal detection algorithms.

Autoři: Yoosuf BT Favas Kt M Dutta P a další

Zdroj: Expert opinion on drug safety [Expert Opin Drug Saf] 2025 Dec; Vol. 24 (12), pp. 1391-1403. Date of Electronic Publication: 2024 Apr 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Taylor & Francis Country of Publication: England NLM ID: 101163027 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-764X (Electronic) Linking ISSN: 14740338 NLM ISO Abbreviation: Expert Opin Drug Saf Subsets: MEDLINE

Výrazy ze slovníku MeSH: Dipeptidyl-Peptidase IV Inhibitors*/adverse effects , Dipeptidyl-Peptidase IV Inhibitors*/administration & dosage , Adverse Drug Reaction Reporting Systems*/statistics & numerical data , Hypoglycemic Agents*/adverse effects , Hypoglycemic Agents*/administration & dosage, Humans ; Diabetes Mellitus, Type 2/drug therapy ; Retrospective Studies ; Databases, Factual ; Algorithms ; United States ; Product Surveillance, Postmarketing ; Data Mining ; United States Food and Drug Administration ; Detection Algorithms

AI-based skin cancer detection algorithms: opportunities, challenges and a way forward

Autoři: Muhammad Shaheer Tayyaba Arooj Hannan Adeel a další

Zdroj: Asian Journal of Science, Engineering and Technology (AJSET). 4:87-109