Daniel J. Inman

15 papers C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation.
CoRR
Kevin P. T. Haughn, Christina Harvey, Daniel J. Inman
2023 J jnl
Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance.
Adv. Intell. Syst.
Joshua J. Maraj, Kevin P. T. Haughn, Daniel J. Inman, Stephen A. Sarles
2022 J jnl
Autonomous Learning in a Pseudo-Episodic Physical Environment.
J. Intell. Robotic Syst.
Kevin P. T. Haughn, Daniel J. Inman
2021 J jnl
Self-Programming Synaptic Resistor Circuit for Intelligent Systems.
Adv. Intell. Syst.
Christopher M. Shaffer, Atharva Deo, Andrew Tudor, Rahul Shenoy, Cameron D. Danesh, Dhruva Nathan, Lawren L. Gamble, Daniel J. Inman, Yong Chen
2020 J jnl
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications.
CoRR
Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman
2019 J jnl
1D Convolutional Neural Networks and Applications: A Survey.
CoRR
Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, Daniel J. Inman
2018 J jnl
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data.
Neurocomputing
Osama Abdeljaber, Onur Avci, Mustafa Serkan Kiranyaz, Boualem Boashash, Henry Sodano, Daniel J. Inman
2018 J jnl
A Novel Nonlinear Piezoelectric Energy Harvesting System Based on Linear-Element Coupling: Design, Modeling and Dynamic Analysis.
Sensors
Shengxi Zhou, Bo Yan, Daniel J. Inman
2018 J jnl
Kappa-PSO-FAN based method for damage identification on composite structural health monitoring.
Expert Syst. Appl.
Mario A. de Oliveira, Nelcileno V. S. Araujo, Daniel J. Inman, Jozue Vieira Filho
2017 J jnl
Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth.
Appl. Soft Comput.
Mario A. de Oliveira, Daniel J. Inman
2007 C conf
Digital Wideband Excitation Technique for Impedance-Based Structural Health Monitoring Systems.
ISCAS
Jina Kim, Benjamin L. Grisso, Dong S. Ha, Daniel J. Inman
2000 J jnl
Experimental verification of intelligent fault detection in rotor blades.
Int. J. Syst. Sci.
J. Cattarius, Daniel J. Inman
1999 — conf
Online adaptive and neural network control of underwater vehicles.
Mobile Robots
Myung-Hyun Kim, Daniel J. Inman
1996 J jnl
Decentralized sliding mode control for flexible link robots.
J. Intell. Robotic Syst.
Gordon G. Parker, Daniel J. Segalman, Rush D. Robinett III, Daniel J. Inman
1994 J jnl
Eigenstructure assignment and controller optimization for mechanical systems.
IEEE Trans. Control. Syst. Technol.
Mark J. Schulz, Daniel J. Inman