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2020 – today
- 2023
[j10]Joshua J. Maraj
, Kevin P. T. Haughn, Daniel J. Inman, Stephen A. Sarles:
Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance. Adv. Intell. Syst. 5(8) (2023)- [i3]Kevin P. T. Haughn, Christina Harvey, Daniel J. Inman:
Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation. CoRR abs/2304.03133 (2023) - 2022
- [j9]Kevin P. T. Haughn, Daniel J. Inman:
Autonomous Learning in a Pseudo-Episodic Physical Environment. J. Intell. Robotic Syst. 104(2): 32 (2022) - 2021
- [j8]Christopher M. Shaffer, Atharva Deo, Andrew Tudor, Rahul Shenoy, Cameron D. Danesh, Dhruva Nathan, Lawren L. Gamble, Daniel J. Inman, Yong Chen:
Self-Programming Synaptic Resistor Circuit for Intelligent Systems. Adv. Intell. Syst. 3(8): 2100016 (2021) - 2020
- [i2]Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman:
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications. CoRR abs/2004.04373 (2020)
2010 – 2019
- 2019
- [i1]Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, Daniel J. Inman:
1D Convolutional Neural Networks and Applications: A Survey. CoRR abs/1905.03554 (2019) - 2018
- [j7]Mario A. de Oliveira, Nelcileno V. S. Araujo, Daniel J. Inman, Jozue Vieira Filho:
Kappa-PSO-FAN based method for damage identification on composite structural health monitoring. Expert Syst. Appl. 95: 1-13 (2018) - [j6]Osama Abdeljaber, Onur Avci, Mustafa Serkan Kiranyaz, Boualem Boashash, Henry Sodano, Daniel J. Inman:
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data. Neurocomputing 275: 1308-1317 (2018) - [j5]Shengxi Zhou, Bo Yan, Daniel J. Inman:
A Novel Nonlinear Piezoelectric Energy Harvesting System Based on Linear-Element Coupling: Design, Modeling and Dynamic Analysis. Sensors 18(5): 1492 (2018) - 2017
- [j4]Mario A. de Oliveira, Daniel J. Inman:
Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth. Appl. Soft Comput. 52: 53-63 (2017)
2000 – 2009
- 2007
- [c2]Jina Kim, Benjamin L. Grisso, Dong S. Ha, Daniel J. Inman:
Digital Wideband Excitation Technique for Impedance-Based Structural Health Monitoring Systems. ISCAS 2007: 3566-3569 - 2000
- [j3]J. Cattarius, Daniel J. Inman:
Experimental verification of intelligent fault detection in rotor blades. Int. J. Syst. Sci. 31(11): 1375-1379 (2000)
1990 – 1999
- 1999
- [c1]Myung-Hyun Kim, Daniel J. Inman:
Online adaptive and neural network control of underwater vehicles. Mobile Robots 1999: 264-274 - 1996
- [j2]Gordon G. Parker, Daniel J. Segalman, Rush D. Robinett III, Daniel J. Inman:
Decentralized sliding mode control for flexible link robots. J. Intell. Robotic Syst. 17(1): 61-79 (1996) - 1994
- [j1]Mark J. Schulz, Daniel J. Inman:
Eigenstructure assignment and controller optimization for mechanical systems. IEEE Trans. Control. Syst. Technol. 2(2): 88-100 (1994)
Coauthor Index
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