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Publication search results
found 41 matches
- 2024
- Saravanan Shanmugam, M. Syed Ali, Govindasamy Narayanan, Mohamed Rhaima:
Finite-Time Boundedness of Switched Time-Varying Delay Systems With Actuator Saturation: Applications in Water Pollution Control. IEEE Access 12: 11700-11710 (2024) - Saravanan Shanmugam, Govindasamy Narayanan, Rajagopal Karthikeyan, M. Syed Ali:
Finite-time synchronization of complex-valued neural networks with reaction-diffusion terms: an adaptive intermittent control approach. Neural Comput. Appl. 36(13): 7389-7404 (2024) - 2023
- Sara Altun Güven, Muhammed Fatih Talu:
Brain MRI high resolution image creation and segmentation with the new GAN method. Biomed. Signal Process. Control. 80(Part): 104246 (2023) - Mostafa Magdy Balaha, Sara El-Kady, Hossam Magdy Balaha, Mohamed Salama, Eslam Emad, Muhammed Hassan, Mahmoud M. Saafan:
A vision-based deep learning approach for independent-users Arabic sign language interpretation. Multim. Tools Appl. 82(5): 6807-6826 (2023) - Mostafa Magdy Balaha, Sara El-Kady, Hossam Magdy Balaha, Mohamed Salama, Eslam Emad, Muhammed Hassan, Mahmoud M. Saafan:
Correction to: A vision-based deep learning approach for independent-users Arabic sign language interpretation. Multim. Tools Appl. 82(5): 6827 (2023) - Sara Qwaider, Baqer Al-Ramadan, Md Shafiullah, Asif Islam, Muhammed Y. Worku:
GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030. Remote. Sens. 15(24): 5770 (2023) - 2022
- Ramasamy Saravanakumar, M. Syed Ali:
Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States. Neural Process. Lett. 54(3): 1623-1645 (2022) - Sara Karim, Muhammed J. A. Patwary, Mohammad Shahadat Hossain, Karl Andersson:
A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC). AII 2022: 174-185 - 2021
- Shanmugam Saravanan, M. Syed Ali, Grienggrai Rajchakit, Bussakorn Hammachukiattikul, Bandana Priya, Ganesh Kumar Thakur:
Finite-Time Stability Analysis of Switched Genetic Regulatory Networks with Time-Varying Delays via Wirtinger's Integral Inequality. Complex. 2021: 9540548:1-9540548:21 (2021) - 2020
- S. Saravanan, M. Syed Ali, Hamed H. Alsulami, Mohammed Sh. Alhodaly:
Robust H∞ filtering for finite-time boundedness of Markovian jump system with distributed time-varying delays. Int. J. Syst. Sci. 51(2): 368-380 (2020) - Shanmugam Saravanan, Syed Ali Muhammed, Gyu M. Lee:
Finite-time extended dissipativity of delayed Takagi-Sugeno fuzzy neural networks using a free-matrix-based double integral inequality. Neural Comput. Appl. 32(12): 8517-8528 (2020) - Mohammed Hamzah Abed, Lamia Abed Noor Muhammed, Sarah Hussein Toman:
Diabetic Retinopathy Diagnosis based on Convolutional Neural Network. CoRR abs/2008.00148 (2020) - 2019
- M. Syed Ali, R. Vadivel, R. Saravanakumar:
Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays. Int. J. Control 92(2): 270-290 (2019) - Nallappan Gunasekaran, Ramasamy Saravanakumar, M. Syed Ali, Quanxin Zhu:
Exponential sampled-data control for T-S fuzzy systems: application to Chua's circuit. Int. J. Syst. Sci. 50(16): 2979-2992 (2019) - M. Syed Ali, J. Yogambigai, S. Saravanan, S. Elakkia:
Stochastic stability of neutral-type Markovian-jumping BAM neural networks with time varying delays. J. Comput. Appl. Math. 349: 142-156 (2019) - R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Exponential dissipativity criteria for generalized BAM neural networks with variable delays. Neural Comput. Appl. 31(7): 2717-2726 (2019) - S. Saravanan, M. Syed Ali, R. Saravanakumar:
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks. Neural Process. Lett. 49(2): 573-591 (2019) - 2018
- M. Syed Ali, S. Saravanan:
Finite-time stability for memristor based switched neural networks with time-varying delays via average dwell time approach. Neurocomputing 275: 1637-1649 (2018) - S. Saravanan, V. Umesha, M. Syed Ali, S. Padmanabhan:
Exponential passivity for uncertain neural networks with time-varying delays based on weighted integral inequalities. Neurocomputing 314: 429-436 (2018) - M. Syed Ali, Nallappan Gunasekaran, R. Saravanakumar:
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control. Neural Comput. Appl. 30(2): 595-605 (2018) - M. Syed Ali, S. Saravanan:
Finite-time L2-gain analysis for switched neural networks with time-varying delay. Neural Comput. Appl. 29(4): 975-984 (2018) - R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Zhengrong Xiang, Young Hoon Joo:
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays. Neural Comput. Appl. 30(12): 3893-3904 (2018) - Munir Karsli, Yusuf Satilmis, Muhammed Sara, Furkan Tufan, Süleyman Eken, Ahmet Sayar:
End-to-end learning model design for steering autonomous vehicle. SIU 2018: 1-4 - 2017
- M. Syed Ali, S. Saravanan, Quanxin Zhu:
Finite-time stability of neutral-type neural networks with random time-varying delays. Int. J. Syst. Sci. 48(15): 3279-3295 (2017) - R. Saravanakumar, M. Syed Ali, Hamid Reza Karimi:
Robust H∞ control of uncertain stochastic Markovian jump systems with mixed time-varying delays. Int. J. Syst. Sci. 48(4): 862-872 (2017) - R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Extended dissipativity of generalised neural networks including time delays. Int. J. Syst. Sci. 48(11): 2311-2320 (2017) - M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi:
Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays. Inf. Sci. 388: 118-134 (2017) - M. Syed Ali, S. Saravanan, Quanxin Zhu:
Non-fragile finite-time H∞ state estimation of neural networks with distributed time-varying delay. J. Frankl. Inst. 354(16): 7566-7584 (2017) - M. Syed Ali, S. Saravanan, M. Esther Rani, S. Elakkia, Jinde Cao, Ahmed Alsaedi, Tasawar Hayat:
Asymptotic Stability of Cohen-Grossberg BAM Neutral Type Neural Networks with Distributed Time Varying Delays. Neural Process. Lett. 46(3): 991-1007 (2017) - Emel Arslan, M. Syed Ali, S. Saravanan:
Finite-Time Stability of Stochastic Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Distributed Time-Varying Delays. Neural Process. Lett. 46(1): 71-81 (2017)
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