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Publication search results
found 17 matches
- 2024
- Jennifer Onyeama:
Credit Card Fraud Detection in the Nigerian Financial Sector: A Comparison of Unsupervised TensorFlow-Based Anomaly Detection Techniques, Autoencoders and PCA Algorithm. CoRR abs/2407.08758 (2024) - 2022
- B. Gopalakrishnan, P. Purusothaman:
A new design of intrusion detection in IoT sector using optimal feature selection and high ranking-based ensemble learning model. Peer-to-Peer Netw. Appl. 15(5): 2199-2226 (2022) - Pablo Fernández Saura, Juan Francisco Martínez Gil, Jorge Bernal Bernabé, Antonio F. Skarmeta:
Privacy-Preserving Cyber Threat Information Sharing Leveraging FL-Based Intrusion Detection in the Financial Sector. CyberSec4Europe 2022: 50-64 - Md. Asif Nawaz, Abdullah Esha, Ahad Ahamed, Raihan Uddin Ahmed:
Assisting the Power Generation Sector Toward Sustainability - an IoT Based System for Power Theft Detection with Theft Location Identification. ICCA 2022: 309-315 - 2021
- T. Aditya Sai Srinivas, S. S. Manivannan:
Black Hole and Selective Forwarding Attack Detection and Prevention in IoT in Health Care Sector: Hybrid meta-heuristic-based shortest path routing. J. Ambient Intell. Smart Environ. 13(2): 133-156 (2021) - Mehmet Akgul:
A Cost-Based Fraud Detection System for Financial Sector. AMCIS 2021 - 2019
- Jiguang Dai, Yang Du, Tingting Zhu, Yang Wang, Lin Gao:
Multiscale Residual Convolution Neural Network and Sector Descriptor-Based Road Detection Method. IEEE Access 7: 173377-173392 (2019) - Omar Kaddoura, Juan J. Sánchez-Sánchez, Inmaculada Serrano, Raquel Barco:
Swapped Sectors Detection Based on User Location During Inter-Site Handovers. IEEE Access 7: 92547-92560 (2019) - 2018
- Omar Kaddoura, Raquel Barco, Inmaculada Serrano, Juan J. Sánchez-Sánchez:
Swapped Sectors Detection Based on Mobility Statistics. IEEE Commun. Lett. 22(5): 1038-1041 (2018) - 2015
- Manabu Hirano, Hayate Takase, Koki Yoshida:
Evaluation of a Sector-Hash Based Rapid File Detection Method for Monitoring Infrastructure-as-a-Service Cloud Platforms. ARES 2015: 584-591 - Tomasz Pelech-Pilichowski, Jan T. Duda:
Low-Frequency Signal Reconstruction and Abrupt Change Detection in Non-stationary Time Series by Enhanced Moving Trend Based Filters. Advances in ICT for Business, Industry and Public Sector 2015: 111-125 - 2014
- Naveen Kumar, Shrikanth S. Narayanan:
Hull detection based on largest empty sector angle with application to analysis of realtime MR images. ICASSP 2014: 6617-6621 - 2013
- Likai Chen, Wei Lu, Jiangqun Ni, Wei Sun, Jiwu Huang:
Region duplication detection based on Harris corner points and step sector statistics. J. Vis. Commun. Image Represent. 24(3): 244-254 (2013) - 2012
- Likai Chen, Wei Lu, Jiangqun Ni:
An Image Region Description Method Based on Step Sector Statistics and its Application in Image Copy-Rotate/Flip-Move Forgery Detection. Int. J. Digit. Crime Forensics 4(1): 49-62 (2012) - 2011
- Indrajit Banerjee, Prasenjit Chanak, Hafizur Rahaman:
SBFDR: Sector Based Fault Detection and Recovery in Wireless Sensor Networks. HPAGC 2011: 461-469 - 2006
- Guillaume Lathoud, Julien Bourgeois, Jürgen Freudenberger:
Sector-Based Detection for Hands-Free Speech Enhancement in Cars. EURASIP J. Adv. Signal Process. 2006 (2006) - 2005
- Guillaume Lathoud, Mathew Magimai-Doss:
A sector-based, frequency-domain approach to detection and localization of multiple speakers. ICASSP (3) 2005: 265-268
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