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Journal Articles
- 2024
[j39]Hassan Khazane, Mohammed Ridouani
, Fatima Salahdine, Naima Kaabouch:
A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks. Future Internet 16(1): 32 (2024)- [j38]Amrita Das, Sattar Dorafshan, Naima Kaabouch:
Autonomous Image-Based Corrosion Detection in Steel Structures Using Deep Learning. Sensors 24(11): 3630 (2024) - [j37]Jack Burbank, Trevor Greene, Naima Kaabouch:
Detecting and Mitigating Attacks on GPS Devices. Sensors 24(17): 5529 (2024) - 2023
- [j36]Mohammad Nayfeh, Yuchen Li, Khair Al Shamaileh, Vijay Kumar Devabhaktuni, Naima Kaabouch:
Machine Learning Modeling of GPS Features with Applications to UAV Location Spoofing Detection and Classification. Comput. Secur. 126: 103085 (2023) - [j35]Amal Naitali, Mohammed Ridouani, Fatima Salahdine, Naima Kaabouch:
Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. Comput. 12(10): 216 (2023) - [j34]Tala Talaei Khoei, Naima Kaabouch:
Machine Learning: Models, Challenges, and Research Directions. Future Internet 15(10): 332 (2023) - [j33]Tala Talaei Khoei, Naima Kaabouch:
A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems. Inf. 14(2): 103 (2023) - [j32]Abdelali Hadir, Naima Kaabouch, Mohammed-Alamine El Houssaini, Jamal El Kafi:
Range-Free Localization Approaches Based on Intelligent Swarm Optimization for Internet of Things. Inf. 14(11): 592 (2023) - [j31]Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch:
Deep learning: systematic review, models, challenges, and research directions. Neural Comput. Appl. 35(31): 23103-23124 (2023) - 2022
- [j30]Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi:
Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network. Biomed. Signal Process. Control. 76: 103696 (2022) - [j29]Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi:
Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection. Concurr. Comput. Pract. Exp. 34(24) (2022) - [j28]Tala Talaei Khoei, Shereen Ismail, Naima Kaabouch:
Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs. Sensors 22(2): 662 (2022) - 2021
- [j27]Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui:
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation. Biomed. Signal Process. Control. 66: 102481 (2021) - 2020
- [j26]Tarek Elderini, Naima Kaabouch, Jeremiah Neubert:
Space Occupancy Representation Based on A Bayesian Model for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 97(2): 399-410 (2020) - [j25]Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui:
An evaluation and ranking of evolutionary algorithms in segmenting abnormal masses in digital mammograms. Multim. Tools Appl. 79(27-28): 18941-18979 (2020) - [j24]Fatima Salahdine, Naima Kaabouch:
Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey. Phys. Commun. 39: 101001 (2020) - 2019
- [j23]Mohsen Riahi Manesh, Naima Kaabouch:
Cyber-attacks on unmanned aerial system networks: Detection, countermeasure, and future research directions. Comput. Secur. 85: 386-401 (2019) - [j22]Fatima Salahdine, Naima Kaabouch:
Social Engineering Attacks: A Survey. Future Internet 11(4): 89 (2019) - [j21]Youness Arjoune, Naima Kaabouch:
A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions. Sensors 19(1): 126 (2019) - 2018
- [j20]Mohsen Riahi Manesh, Naima Kaabouch:
Security threats and countermeasures of MAC layer in cognitive radio networks. Ad Hoc Networks 70: 85-102 (2018) - [j19]Zakaria Elmrabet, Naima Kaabouch, Hassan El Ghazi, Hamid El Ghazi:
Cyber-security in smart grid: Survey and challenges. Comput. Electr. Eng. 67: 469-482 (2018) - [j18]Youness Arjoune, Naima Kaabouch, Hassan El Ghazi, Ahmed Tamtaoui:
A performance comparison of measurement matrices in compressive sensing. Int. J. Commun. Syst. 31(10) (2018) - [j17]Mounia Bouabdellah, Naima Kaabouch, Faissal El Bouanani, Hussain Ben-Azza:
Network layer attacks and countermeasures in cognitive radio networks: A survey. J. Inf. Secur. Appl. 38: 40-49 (2018) - [j16]Zakaria Elmrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch:
Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter. J. Sens. Actuator Networks 7(3): 26 (2018) - [j15]Youness Arjoune, Naima Kaabouch:
Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach. Sensors 18(6): 1839 (2018) - 2017
- [j14]Mohsen Riahi Manesh, Sriram Subramaniam, Hector Reyes, Naima Kaabouch:
Real-time spectrum occupancy monitoring using a probabilistic model. Comput. Networks 124: 87-96 (2017) - [j13]Tarek Elderini, Naima Kaabouch, Hector Reyes:
Channel quality estimation metrics in cognitive radio networks: a survey. IET Commun. 11(8): 1173-1179 (2017) - [j12]Mohsen Riahi Manesh, Naima Kaabouch:
Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system. Int. J. Crit. Infrastructure Prot. 19: 16-31 (2017) - [j11]Mohsen Riahi Manesh, Naima Kaabouch, Hector Reyes, Wen-Chen Hu:
A Bayesian approach to estimate and model SINR in wireless networks. Int. J. Commun. Syst. 30(9) (2017) - [j10]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks. Int. J. Commun. Syst. 30(15) (2017) - 2016
- [j9]Hector Reyes, Sriram Subramaniam, Naima Kaabouch, Wen-Chen Hu:
A spectrum sensing technique based on autocorrelation and Euclidean distance and its comparison with energy detection for cognitive radio networks. Comput. Electr. Eng. 52: 319-327 (2016) - [j8]Debabrata Ghosh, Naima Kaabouch:
A survey on image mosaicing techniques. J. Vis. Commun. Image Represent. 34: 1-11 (2016) - [j7]Debabrata Ghosh, Naima Kaabouch, Wen-Chen Hu:
A robust iterative super-resolution mosaicking algorithm using an adaptive and directional Huber-Markov regularization. J. Vis. Commun. Image Represent. 40: 98-110 (2016) - [j6]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
A survey on compressive sensing techniques for cognitive radio networks. Phys. Commun. 20: 61-73 (2016) - 2014
- [j5]Debabrata Ghosh, Naima Kaabouch, Ronald A. Fevig:
Robust Spatial-Domain Based Super-Resolution Mosaicing of CubeSat Video Frames: Algorithm and Evaluation. Comput. Inf. Sci. 7(2): 68-81 (2014) - [j4]Wen-Chen Hu, Naima Kaabouch, Hung-Jen Yang, S. Hossein Mousavinezhad:
Privacy-Preserving Spatial Trajectory Prediction Based on a Novel Matrix Representation. Int. J. Handheld Comput. Res. 5(1): 56-78 (2014) - [j3]Hector Reyes, Naima Kaabouch, Wen-Chen Hu:
Spectrum Channel Characterization Using Delay and Doppler Spread Parameters. J. Commun. 9(3): 234-240 (2014) - 2012
- [j2]Wen-Chen Hu, Naima Kaabouch, Hung-Jen Yang, S. Hossein Mousavinezhad:
Route Anomaly Detection Using a Linear Route Representation. J. Comput. Networks Commun. 2012: 675605:1-675605:12 (2012) - 2011
- [j1]Naima Kaabouch, Yi Chen, Wen-Chen Hu, Julie W. Anderson, Forrest Ames, Rolf Paulson:
Enhancement of the asymmetry-based overlapping analysis through features extraction. J. Electronic Imaging 20(1): 013012 (2011)
Conference and Workshop Papers
- 2024
- [c82]M. Alkhatib, M. McCormick, L. Williams, A. Leon, L. Camerano, Khair Al Shamaileh, V. Devabhaktuni, Naima Kaabouch:
Classification and Source Location Indication of Jamming Attacks Targeting UAVs via Multi-output Multiclass Machine Learning Modeling. ICCE 2024: 1-5 - 2023
- [c81]Faezeh Jafari, Sattar Dorafshan, Naima Kaabouch:
Segmentation of fatigue cracks in ancillary steel structures using deep learning convolutional neural networks. AIM 2023: 872-877 - [c80]Mohammad Nayfeh, Joshua Price, M. Alkhatib, Khair Al Shamaileh, Naima Kaabouch, Vijay K. Devabhakuni:
A Real-time Machine Learning-based GPS Spoofing Solution for Location-dependent UAV Applications. eIT 2023: 289-293 - [c79]Tala Talaei Khoei, Naima Kaabouch:
ACapsule Q-Learning Based Reinforcement Model for Intrusion Detection System on Smart Grid. eIT 2023: 333-339 - [c78]Tala Talaei Khoei, Ghilas Aissou, Khair Al Shamaileh, Vijaya Kumar Devabhaktuni, Naima Kaabouch:
Supervised Deep Learning Models for Detecting GPS Spoofing Attacks on Unmanned Aerial Vehicles. eIT 2023: 340-346 - [c77]Rajrup Mitra, Amrita Das, Jack Heichel, Sattar Dorafshan, Naima Kaabouch:
A Comparative Analysis of Two Deep Learning Neural Networks for Defect Detection in Steel Structures Using UAS. eIT 2023: 430-435 - [c76]Joshua Price, Hadjar Ould Slimane, Khair Al Shamaileh, Vijay Kumar Devabhaktuni, Naima Kaabouch:
A Machine Learning Approach for the Detection of Injection Attacks on ADS-B Messaging Systems. ICNC 2023: 293-297 - 2022
- [c75]Ghilas Aissou, Selma Benouadah, Hassan El Alami, Naima Kaabouch:
Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS. CCWC 2022: 208-214 - [c74]Aydan Gasimova, Tala Talaei Khoei, Naima Kaabouch:
A Comparative Analysis of the Ensemble Models for Detecting GPS Spoofing attacks on UAVs. CCWC 2022: 310-315 - [c73]Hadjar Ould Slimane, Selma Benouadah, Tala Talaei Khoei, Naima Kaabouch:
A Light Boosting-based ML Model for Detecting Deceptive Jamming Attacks on UAVs. CCWC 2022: 328-333 - [c72]Joshua Price, Yuchen Li, Khair Al Shamaileh, Quamar Niyaz, Naima Kaabouch, Vijay K. Devabhaktuni:
Real-time Classification of Jamming Attacks against UAVs via on-board Software-defined Radio and Machine Learning-based Receiver Module. EIT 2022: 1-5 - [c71]Tala Talaei Khoei, Wen Chen Hu, Naima Kaabouch:
Residual Convolutional Network for Detecting Attacks on Intrusion Detection Systems in Smart Grid. EIT 2022: 231-237 - [c70]Tala Talaei Khoei, Aydan Gasimova, Mohammad Aymane Ahajjam, Khair Al Shamaileh, Vijay K. Devabhaktuni, Naima Kaabouch:
A Comparative Analysis of Supervised and Unsupervised Models for Detecting GPS Spoofing Attack on UAVs. EIT 2022: 279-284 - [c69]Tala Talaei Khoei, Mohammad Aymane Ahajjam, Wen Chen Hu, Naima Kaabouch:
A Deep Learning Multi-Task Approach for the Detection of Alzheimer's Disease in a Longitudinal Study. EIT 2022: 315-319 - [c68]Hadjar Ould Slimane, Selma Benouadah, Khair Al Shamaileh, Vijay K. Devabhaktuni, Naima Kaabouch:
ADS-B Message Injection Attack on UAVs: Assessment of SVM-based Detection Techniques. EIT 2022: 405-410 - [c67]Rajrup Mitra, Jack Hackel, Amrita Das, Sattar Dorafshan, Naima Kaabouch:
A UAV Payload for Real-time Inspection of Highway Ancillary Structures. EIT 2022: 411-416 - [c66]Tala Talaei Khoei, Naima Kaabouch:
Densely Connected Neural Networks for Detecting Denial of Service Attacks on Smart Grid Network. UEMCON 2022: 207-211 - 2021
- [c65]David Hettich, Megan Olson, Andie Jackson, Naima Kaabouch:
Breast Cancer: Classification of Tumors Using Machine Learning Algorithms. CIVEMSA 2021: 1-6 - [c64]Tala Talaei Khoei, Ghilas Aissou, When Chen Hu, Naima Kaabouch:
Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid. EIT 2021: 129-135 - [c63]Tala Talaei Khoei, Mary Catherine Labuhn, Toro Dama Caleb, Wen Chen Hu, Naima Kaabouch:
A Stacking-based Ensemble Learning Model with Genetic Algorithm For detecting Early Stages of Alzheimer's Disease. EIT 2021: 215-222 - [c62]Jappreet Singh Gill, Mahdi Saeedi Velashani, Jordan Wolf, Jonathan Kenney, Mohsen Riahi Manesh, Naima Kaabouch:
Simulation Testbeds and Frameworks for UAV Performance Evaluation. EIT 2021: 335-341 - [c61]Tala Talaei Khoei, Shereen Ismail, Naima Kaabouch:
Boosting-based Models with Tree-structured Parzen Estimator Optimization to Detect Intrusion Attacks on Smart Grid. UEMCON 2021: 165-170 - [c60]Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch:
Phishing Attacks Detection A Machine Learning-Based Approach. UEMCON 2021: 250-255 - [c59]Shereen Ismail, Tala Talaei Khoei, Ronald Marsh, Naima Kaabouch:
A Comparative Study of Machine Learning Models for Cyber-attacks Detection in Wireless Sensor Networks. UEMCON 2021: 313-318 - [c58]Ghilas Aissou, Hadjar Ould Slimane, Selma Benouadah, Naima Kaabouch:
Tree-based Supervised Machine Learning Models For Detecting GPS Spoofing Attacks on UAS. UEMCON 2021: 649-653 - 2020
- [c57]Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch:
Classification of Microcalcifications in Mammograms using 2D Discrete Wavelet Transform and Random Forest. EIT 2020: 353-359 - [c56]Rabie Fadil, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch:
Breast Microcalcifications Detection using TR-MUSIC Algorithm. EIT 2020: 360-365 - [c55]Jonathan Ray Kenney, Naima Kaabouch:
Direction Finding Antenna using Rotating Radome. EIT 2020: 389-393 - [c54]Elias Ghribi, Tala Talaei Khoei, Hamed Taheri Gorji, Prakash Ranganathan, Naima Kaabouch:
A Secure Blockchain-based Communication Approach for UAV Networks. EIT 2020: 411-415 - [c53]Hamed Taheri Gorji, Tala Talaei Khoei, Naima Kaabouch:
Biomarkers Selection Toward Early Detection of Alzheimer's Disease. EIT 2020: 487-494 - [c52]Radhakrishnan Angamuthu Chinnathambi, Alex Marquette, Tyler Clark, Aaron Johnson, Daisy Flora Selvaraj, Jeff Vaughan, Todd Hanson, Scott Hanson, Prakash Ranganathan, Naima Kaabouch:
Visualizing and Predicting Culex Tarsalis Trapcounts for West Nile Virus (WNV) Disease Incidence using Machine Learning Models. EIT 2020: 581-587 - [c51]Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch:
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. ICOIN 2020: 459-464 - [c50]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. ICOIN 2020: 562-567 - [c49]Maha Rita Arabia-Obedoza, Gloria Rodriguez, Amber Johnston, Fatima Salahdine, Naima Kaabouch:
Social Engineering Attacks A Reconnaissance Synthesis Analysis. UEMCON 2020: 843-848 - 2019
- [c48]Mohsen Riahi Manesh, Jonathan Kenney, Wen-Chen Hu, Vijaya Kumar Devabhaktuni, Naima Kaabouch:
Detection of GPS Spoofing Attacks on Unmanned Aerial Systems. CCNC 2019: 1-6 - [c47]Mounia Bouabdellah, Elias Ghribi, Naima Kaabouch:
RSS-Based Localization with Maximum Likelihood Estimation for PUE Attacker Detection in Cognitive Radio Networks. EIT 2019: 6-11 - [c46]Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch:
Segmentation of Microcalcifications in Mammograms: A comparative Study. EIT 2019: 18-23 - [c45]Youness Arjoune, Wen-Chen Hu, Naima Kaabouch:
Chebyshev Vandermonde-like Measurement Matrix Based Compressive Spectrum Sensing. EIT 2019: 28-33 - [c44]Khaoula Belhaj Soulami, Elias Ghribi, Yassin Labyed, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch:
Mixed-Reality Aided System for Glioblastoma Resection Surgery using Microsoft HoloLens. EIT 2019: 79-84 - [c43]Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch:
Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms. EIT 2019: 85-91 - [c42]Mohsen Riahi Manesh, Mahdi Saeedi Velashani, Elias Ghribi, Naima Kaabouch:
Performance Comparison of Machine Learning Algorithms in Detecting Jamming Attacks on ADS-B0 Devices. EIT 2019: 200-206 - [c41]Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch:
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid. EIT 2019: 298-303 - [c40]Youness Arjoune, Naima Kaabouch:
On Spectrum Sensing, a Machine Learning Method for Cognitive Radio Systems. EIT 2019: 333-338 - [c39]Paul D. Christenson, Cai Xia Yang, Naima Kaabouch:
A Low Cost Through-Wall Radar for Vital Signs Monitoring. EIT 2019: 567-571 - 2018
- [c38]Wassim Fassi Fihri, Youness Arjoune, Hassan El Ghazi, Naima Kaabouch, Badr Abou El Majd:
A particle swarm optimization based algorithm for primary user emulation attack detection. CCWC 2018: 823-827 - [c37]Mohsen Riahi Manesh, Youness Arjoune, Naima Kaabouch:
A bit error rate estimation method for wireless communication systems. CCWC 2018: 835-840 - [c36]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks. ICIT 2018: 1610-1615 - 2017
- [c35]Youness Arjoune, Naima Kaabouch, Hassan El Ghazi, Ahmed Tamtaoui:
Compressive sensing: Performance comparison of sparse recovery algorithms. CCWC 2017: 1-7 - [c34]Tarek Elderini, Naima Kaabouch, Hector Reyes:
Outage probability estimation technique based on a Bayesian model for cognitive radio networks. CCWC 2017: 1-6 - [c33]Mohsen Riahi Manesh, Adnan Quadri, Sriram Subramaniam, Naima Kaabouch:
An optimized SNR estimation technique using particle swarm optimization algorithm. CCWC 2017: 1-6 - [c32]Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch:
Noise cancellation in cognitive radio systems: A performance comparison of evolutionary algorithms. CCWC 2017: 1-7 - [c31]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Techniques for dealing with uncertainty in cognitive radio networks. CCWC 2017: 1-6 - [c30]Wen-Chen Hu, Naima Kaabouch, Sara Faraji Jalal Apostal, Hung-Jen Yang:
Location-aware mining for privacy-preserving location-based advertising. EIT 2017: 569-574 - [c29]Wassim Fassi Fihri, Hassan El Ghazi, Naima Kaabouch, Badr Abou El Majd:
Bayesian decision model with trilateration for primary user emulation attack localization in cognitive radio networks. ISNCC 2017: 1-6 - 2016
- [c28]Wassim Fassi Fihri, Fatima Salahdine, Hassan El Ghazi, Naima Kaabouch:
A survey on decentralized random access MAC protocols for cognitive radio networks. ACOSIS 2016: 1-7 - [c27]Wen-Chen Hu, Hung-Jen Yang, Naima Kaabouch:
Secure spatial trajectory prediction based on traffic flows. EIT 2016: 723-727 - [c26]Mohsen Riahi Manesh, Md. Shakib Apu, Naima Kaabouch, Wen-Chen Hu:
Performance evaluation of spectrum sensing techniques for cognitive radio systems. UEMCON 2016: 1-7 - [c25]Mohsen Riahi Manesh, Naima Kaabouch, Hector Reyes, Wen-Chen Hu:
A Bayesian model of the aggregate interference power in cognitive radio networks. UEMCON 2016: 1-7 - [c24]Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch:
Denoising signals in cognitive radio systems using an evolutionary algorithm based adaptive filter. UEMCON 2016: 1-6 - [c23]Hector Reyes, Sriram Subramaniam, Naima Kaabouch, Wen-Chen Hu:
A Bayesian inference method for estimating the channel occupancy. UEMCON 2016: 1-6 - [c22]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks. UEMCON 2016: 1-6 - 2015
- [c21]Md. Shafiul Islam, Naima Kaabouch:
Evaluation of TR-MUSIC algorithm efficiency in detecting breast microcalcifications. EIT 2015: 617-620 - [c20]Fatima Salahdine, Hassan El Ghazi, Naima Kaabouch, Wassim Fassi Fihri:
Matched filter detection with dynamic threshold for cognitive radio networks. WINCOM 2015: 1-6 - 2013
- [c19]Wen-Chen Hu, Hung-Jen Yang, Naima Kaabouch, Lei Chen:
A novel matrix representation for privacy-preserving spatial trajectory prediction. EIT 2013: 1-7 - [c18]Md. Shafiul Islam, Naima Kaabouch, Wen-Chen Hu:
A survey of medical imaging techniques used for breast cancer detection. EIT 2013: 1-5 - 2012
- [c17]Naima Kaabouch, Deborah L. Worley, Jeremiah Neubert, Mohammad Khavanin:
Motivating and retaining engineering students by integrating real world engineering problems into the calculus courses. EDUCON 2012: 1-5 - [c16]Sangho Park, Debabrata Ghosh, Naima Kaabouch, Ronald A. Fevig, William Semke:
Hierarchical multi-level image mosaicing for autonomous navigation of UAV. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 830116 - [c15]Mohammad S. Apu, Naima Kaabouch:
Investigation of biological effects associated with Terahertz radiation. EIT 2012: 1-5 - [c14]Mohammad S. Apu, Naima Kaabouch:
Characteristics of the Terahertz sources suitable for biomedical applications. EIT 2012: 1-5 - [c13]Debabrata Ghosh, Sangho Park, Naima Kaabouch, William Semke:
Quantitative evaluation of image mosaicing in multiple scene categories. EIT 2012: 1-6 - [c12]Kyle Foerster, Michael Mullins, Naima Kaabouch, William Semke:
Flight Testing of a Right-of-Way Compliant ADS-B-based Miniature Sense and Avoid System. Infotech@Aerospace 2012 - [c11]Michael Mullins, Kyle Foerster, Naima Kaabouch, William Semke:
Incorporating Terrain Avoidance into a Small UAS Sense and Avoid System. Infotech@Aerospace 2012 - [c10]Sangho Park, Naima Kaabouch, Ronald A. Fevig, William Semke:
Scene Classification and Landmark Spotting in Multilayer Image Mosaic for UAVs in GPS-denied Situations. Infotech@Aerospace 2012 - [c9]Hector Reyes, Naima Kaabouch, William Semke, Sean Salle:
Fuzzy Logic Method for Link Loss Detection during Unmanned Aerial Vehicle Flights. Infotech@Aerospace 2012 - 2009
- [c8]Wen-Chen Hu, Yanjun Zuo, Naima Kaabouch, Hung-Jen Yang:
Mobile Data Protection Using Handheld Usage Context Matching. Mobile Data Management 2009: 594-599 - [c7]Naima Kaabouch, Yi Chen, Julie W. Anderson, Forrest Ames, Rolf Paulson:
Asymmetry analysis based on genetic algorithms for the prediction of foot ulcers. VDA 2009: 724304 - 2008
- [c6]António dos Anjos, Hamid Reza Shahbazkia, Rita M. T. Ascenso, Naima Kaabouch:
Automatic Macroarray Analysis - Tool and Methods. CAINE 2008: 7-12 - [c5]Anlei Wang, Naima Kaabouch:
FPGA based design of a novel enhanced error detection and correction technique. EIT 2008: 25-29 - [c4]Naima Kaabouch, Hamid Reza Shahbazkia:
Automatic techniques for gridding CDNA microarray images. EIT 2008: 218-222 - 2007
- [c3]Yassin Labyed, Naima Kaabouch, Richard R. Schultz, Brij B. Singh:
Gel Electrophoresis Image Segmentation and Band Detection Based on the Derivative of the Standard Deviation. Artificial Intelligence and Pattern Recognition 2007: 31-35 - [c2]Naima Kaabouch, Richard R. Schultz, Barry Milavetz:
A Novel Automated Analysis System for DNA Gel Electrophoresis Images. Artificial Intelligence and Pattern Recognition 2007: 36-41 - [c1]Naima Kaabouch, Richard R. Schultz:
A 2-D gel electrophoresis DNA image analysis algorithm with automatic thresholding. VCIP 2007: 65081H
Data and Artifacts
- 2022
- [d1]Ghilas Aissou, Selma Benouadah, Hassan El Alami, Naima Kaabouch:
A DATASET for GPS Spoofing Detection on Autonomous Vehicles. IEEE DataPort, 2022
Informal and Other Publications
- 2022
- [i18]Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch:
Phishing Attacks Detection - A Machine Learning-Based Approach. CoRR abs/2201.10752 (2022) - [i17]Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch:
A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions. CoRR abs/2207.07738 (2022) - 2020
- [i16]Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch:
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid. CoRR abs/2001.00917 (2020) - [i15]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. CoRR abs/2003.07307 (2020) - [i14]Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch:
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. CoRR abs/2003.07308 (2020) - 2019
- [i13]Zakaria El Mrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch:
Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter. CoRR abs/1903.03684 (2019) - [i12]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks. CoRR abs/1912.04935 (2019) - 2018
- [i11]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks. CoRR abs/1802.03457 (2018) - [i10]Zakaria Elmrabet, Hassan El Ghazi, Naima Kaabouch, Hamid El Ghazi:
Cyber-Security in Smart Grid: Survey and Challenges. CoRR abs/1809.02609 (2018) - 2017
- [i9]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Techniques for Dealing with Uncertainty in Cognitive Radio Networks. CoRR abs/1701.05468 (2017) - [i8]Mohsen Riahi Manesh, Naima Kaabouch:
Interference Modeling in Cognitive Radio Networks: A Survey. CoRR abs/1707.09391 (2017) - 2016
- [i7]Naima Kaabouch, Wen-Chen Hu, Yi Chen:
Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning. CoRR abs/1606.03578 (2016) - [i6]Naima Kaabouch, Aparna Dhirde, Saleh Faruque:
Improvement of the Orthogonal Code Convolution Capabilities Using FPGA Implementation. CoRR abs/1607.00588 (2016) - [i5]Naima Kaabouch, Richard R. Schultz, Barry Milavetz, Lata Balakrishnan:
An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement. CoRR abs/1607.00589 (2016) - [i4]Sriram Subramaniam, Hector Reyes, Naima Kaabouch:
Spectrum Occupancy Measurement: An Autocorrelation based Scanning Technique using USRP. CoRR abs/1607.00590 (2016) - [i3]Hector Reyes, Sriram Subramaniam, Naima Kaabouch:
A Bayesian Network Model of the Bit Error Rate for Cognitive Radio Networks. CoRR abs/1607.00591 (2016) - [i2]Naima Kaabouch, Hamid Reza Shahbazkia:
Automatic Techniques for Gridding cDNA Microarray Images. CoRR abs/1607.00592 (2016) - [i1]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Matched filter detection with dynamic threshold for cognitive radio networks. CoRR abs/1609.08398 (2016)
Coauthor Index
Vijay Kumar Devabhaktuni
aka: Vijay K. Devabhaktuni
aka: Vijay K. Devabhakuni
aka: Vijaya Kumar Devabhaktuni
aka: Vijay K. Devabhaktuni
aka: Vijay K. Devabhakuni
aka: Vijaya Kumar Devabhaktuni
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