Cyber-physical systems and their security issues R Alguliyev, Y Imamverdiyev, L Sukhostat Computers in Industry 100, 212-223, 2018 | 508 | 2018 |
Lithological facies classification using deep convolutional neural network Y Imamverdiyev, L Sukhostat Journal of Petroleum Science and Engineering 174, 216-228, 2019 | 174 | 2019 |
Efficient algorithm for big data clustering on single machine RM Alguliyev, RM Aliguliyev, LV Sukhostat CAAI Transactions on Intelligence Technology 5 (1), 9-14, 2020 | 85 | 2020 |
A Comparative Analysis of Pitch Detection Methods Under the Influence of Different Noise Conditions L Sukhostat, Y Imamverdiyev Journal of Voice 29 (4), 410-417, 2015 | 52 | 2015 |
Parallel batch k-means for Big data clustering RM Alguliyev, RM Aliguliyev, LV Sukhostat Computers & Industrial Engineering 152, 107023, 2021 | 41 | 2021 |
Anomaly detection in Big data based on clustering R Alguliyev, R Aliguliyev, L Sukhostat Statistics, Optimization & Information Computing 5 (4), 325-340, 2017 | 39 | 2017 |
Plant disease detection based on a deep model R Alguliyev, Y Imamverdiyev, L Sukhostat, R Bayramov Soft Computing 25 (21), 13229-13242, 2021 | 32 | 2021 |
Anomaly detection in network traffic using extreme learning machine Y Imamverdiyev, L Sukhostat 2016 IEEE 10th International Conference on Application of Information and …, 2016 | 30 | 2016 |
An anomaly detection based on optimization RM Alguliyev, RM Aliguliyev, YN Imamverdiyev, LV Sukhostat International Journal of Intelligent Systems and Applications 9 (12), 87, 2017 | 23 | 2017 |
Weighted consensus clustering and its application to Big data RM Alguliyev, RM Aliguliyev, LV Sukhostat Expert Systems with Applications 150, 113294, 2020 | 22 | 2020 |
Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems R Alguliyev, Y Imamverdiyev, L Sukhostat Neural Computing and Applications 33 (16), 10211-10226, 2021 | 21 | 2021 |
A method for cryptographic key generation from fingerprints YN Imamverdiev, LV Sukhostat Automatic Control and Computer Sciences 46, 66-75, 2012 | 10 | 2012 |
An improved ensemble approach for DoS attacks detection RM Alguliyev, RM Aliguliyev, YN Imamverdiyev, LV Sukhostat Радіоелектроніка, інформатика, управління, 73-82, 2018 | 9 | 2018 |
History matching of petroleum reservoirs using deep neural networks R Alguliyev, R Aliguliyev, Y Imamverdiyev, L Sukhostat Intelligent Systems with Applications 16, 200128, 2022 | 7 | 2022 |
Киберфизические системы: основные понятия и вопросы обеспечения безопасности РМ Алгулиев, ЯН Имамвердиев, ЛВ Сухостат Информационные технологии 23 (7), 517-528, 2017 | 7 | 2017 |
Weighted clustering for anomaly detection in big data R Alguliyev, R Aliguliyev, Y Imamverdiyev, L Sukhostat Statistics, Optimization & Information Computing 6 (2), 178-188, 2018 | 6 | 2018 |
Intelligent diagnosis of petroleum equipment faults using a deep hybrid model R Alguliyev, Y Imamverdiyev, L Sukhostat SN Applied Sciences 2 (5), 924, 2020 | 5 | 2020 |
Anomaly Detection in Industrial Control System Based on the Hierarchical Hidden Markov Model L Sukhostat Cybersecurity for Critical Infrastructure Protection via Reflection of …, 2022 | 3 | 2022 |
AN INTELLIGENT MODEL BASED ON DEEP TRANSFER LEARNING FOR DETECTING ANOMALIES IN CYBER-PHYSICAL SYSTEMS LV Sukhostat Radio Electronics, Computer Science, Control, 124-132, 2021 | 3 | 2021 |
Обнаружение аномалий в сетевом трафике на основе информативных признаков YN Imamverdiyev, LV Sukhostat Radio Electronics, Computer Science, Control, 113-120, 2017 | 3 | 2017 |