Daniel J. Inman

According to our database, Daniel J. Inman authored at least 15 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance.

Joshua J. Maraj, Kevin P. T. Haughn, Daniel J. Inman, Stephen A. Sarles

Adv. Intell. Syst., August, 2023

Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation.

Kevin P. T. Haughn, Christina Harvey, Daniel J. Inman

CoRR, 2023

2022

Autonomous Learning in a Pseudo-Episodic Physical Environment.

Kevin P. T. Haughn, Daniel J. Inman

J. Intell. Robotic Syst., 2022

2021

Self-Programming Synaptic Resistor Circuit for Intelligent Systems.

Christopher M. Shaffer, Atharva Deo, Andrew Tudor, Rahul Shenoy, Cameron D. Danesh, Dhruva Nathan, Lawren L. Gamble, Daniel J. Inman, Yong Chen

Adv. Intell. Syst., 2021

2020

A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications.

Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman

CoRR, 2020

2019

1D Convolutional Neural Networks and Applications: A Survey.

Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, Daniel J. Inman

CoRR, 2019

2018

A Novel Nonlinear Piezoelectric Energy Harvesting System Based on Linear-Element Coupling: Design, Modeling and Dynamic Analysis.

Shengxi Zhou, Bo Yan, Daniel J. Inman

Sensors, 2018

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data.

Osama Abdeljaber, Onur Avci, Mustafa Serkan Kiranyaz, Boualem Boashash, Henry Sodano, Daniel J. Inman

Neurocomputing, 2018

Kappa-PSO-FAN based method for damage identification on composite structural health monitoring.

Mario A. de Oliveira, Nelcileno V. S. Araujo, Daniel J. Inman, Jozue Vieira Filho

Expert Syst. Appl., 2018

2017

Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth.

Mario A. de Oliveira, Daniel J. Inman

Appl. Soft Comput., 2017

2007

Digital Wideband Excitation Technique for Impedance-Based Structural Health Monitoring Systems.

Jina Kim, Benjamin L. Grisso, Dong S. Ha, Daniel J. Inman

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2000

Experimental verification of intelligent fault detection in rotor blades.

J. Cattarius, Daniel J. Inman

Int. J. Syst. Sci., 2000

1999

Online adaptive and neural network control of underwater vehicles.

Myung-Hyun Kim, Daniel J. Inman

Proceedings of the Mobile Robots XIV, Boston, 1999

1996

Decentralized sliding mode control for flexible link robots.

Gordon G. Parker, Daniel J. Segalman, Rush D. Robinett III, Daniel J. Inman

J. Intell. Robotic Syst., 1996

1994

Eigenstructure assignment and controller optimization for mechanical systems.

Mark J. Schulz, Daniel J. Inman

IEEE Trans. Control. Syst. Technol., 1994