Search

Now showing items 1-10 of 17

Multi-sensor-based online positive learning for drivable region detection

Type: Journal Paper

Author : Lee, Hongseok; Kwak, K.; Jo, Songhyun

Publisher: IET

Year: 2014

Experience and long term performance of 132kV overhead lines gapless-type surge arrester

Type: Conference Paper

Author : Rawi, Iryani Mohamed; Yahaya, Mohd Pauzi; Kadir, M.Z.A.Ab.; Azis, Norhafiz

Publisher: IEEE

Year: 2014

Approximate Online Learning Algorithms for Optimal Monitoring in Multi-Channel Wireless Networks

Type: Journal Paper

Author : Rong Zheng; Thanh Le; Zhu Han

Publisher: IEEE

Year: 2014

Adaptive Force/Motion Control System Based on Recurrent Fuzzy Wavelet CMAC Neural Networks for Condenser Cleaning Crawler-Type Mobile Manipulator Robot

Type: Journal Paper

Author : Thanglong Mai; Yaonan Wang

Publisher: IEEE

Year: 2014

Sensorless IPMSM Drive System Using Saliency Back-EMF-Based Intelligent Torque Observer With MTPA Control

Type: Journal Paper

Author : Faa-Jeng Lin; Ying-Chih Hung; Jia-Ming Chen; Chao-Ming Yeh

Publisher: IEEE

Year: 2014

ELDRS Characterization of Texas Instruments LM185, 1.2V Precision Reference: Retrograde Behavior Demonstrates Why Taking Interim Test Points Is Important

Type: Conference Paper

Author : Kruckmeyer, Kirby; Trinh, Thang

Publisher: IEEE

Year: 2014

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

Type: Conference Paper

Publisher: IEEE

Year: 2014

Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning

Type: Journal Paper

Author : Modares, Hamidreza; Lewis, Frank L.

Publisher: IEEE

Year: 2014

Collaborating trust and item-prediction with ant colony for recommendation

Type: Conference Paper

Author : Kaleroun, A. , Batra, S.

Publisher: IEEE

Year: 2014

A novel quasi-static channel enhancing technique for body channel communication

Type: Conference Paper

Author : Bo Zhao , Huazhong Yang , Yong Lian

Publisher: IEEE

Year: 2014

Search

Multi-sensor-based online positive learning for drivable region detection

Experience and long term performance of 132kV overhead lines gapless-type surge arrester

Approximate Online Learning Algorithms for Optimal Monitoring in Multi-Channel Wireless Networks

Adaptive Force/Motion Control System Based on Recurrent Fuzzy Wavelet CMAC Neural Networks for Condenser Cleaning Crawler-Type Mobile Manipulator Robot

Sensorless IPMSM Drive System Using Saliency Back-EMF-Based Intelligent Torque Observer With MTPA Control

ELDRS Characterization of Texas Instruments LM185, 1.2V Precision Reference: Retrograde Behavior Demonstrates Why Taking Interim Test Points Is Important

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning

Collaborating trust and item-prediction with ant colony for recommendation

A novel quasi-static channel enhancing technique for body channel communication

Author

Publisher

Year

Keywords

Type

Language (ISO)

Content Type

Publication Title

Search

Filters

Multi-sensor-based online positive learning for drivable region detection

Experience and long term performance of 132kV overhead lines gapless-type surge arrester

Approximate Online Learning Algorithms for Optimal Monitoring in Multi-Channel Wireless Networks

Adaptive Force/Motion Control System Based on Recurrent Fuzzy Wavelet CMAC Neural Networks for Condenser Cleaning Crawler-Type Mobile Manipulator Robot

Sensorless IPMSM Drive System Using Saliency Back-EMF-Based Intelligent Torque Observer With MTPA Control

ELDRS Characterization of Texas Instruments LM185, 1.2V Precision Reference: Retrograde Behavior Demonstrates Why Taking Interim Test Points Is Important

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning

Collaborating trust and item-prediction with ant colony for recommendation

A novel quasi-static channel enhancing technique for body channel communication