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Enabling hardware relaxations through statistical learning

Type: Conference Paper

Author : Wang, Zhuo; Verma, Naveen

Publisher: IEEE

Year: 2014

[IEEE 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - San Francisco, CA, USA (2007.02.11-2007.02.15)] 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - A 65nm 8T Sub-Vt SRAM Employing Sense-Amplifier Redundancy

Type: Journal Paper

Author : Verma, Naveen; Chandrakasan, Anantha P.

Year: 2007

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A 0.6–107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG

Type: Journal Paper

Author : Shoaib, Mohammed; Kyong Ho Lee; Jha, Niraj K.; Verma, Naveen

Publisher: IEEE

Year: 2014

A Self-Powered System for Large-Scale Strain Sensing by Combining CMOS ICs With Large-Area Electronics

Type: Journal Paper

Author : Yingzhe Hu; Liechao Huang; Rieutort-Louis, Warren S. /A/.; Sanz-Robinson, Josue; Sturm, James C.; Wagner, Steffen; Verma, Naveen

Publisher: IEEE

Year: 2014

A Complete Fully Thin-Film PV Harvesting and Power-Management System on Plastic With On-Sheet Battery Management and Wireless Power Delivery to Off-sheet Loads

Type: Journal Paper

Author : Rieutort-Louis, Warren; Liechao Huang; Yingzhe Hu; Sanz-Robinson, Josue; Wagner, Steffen; Sturm, James C.; Verma, Naveen

Publisher: IEEE

Year: 2014

Hybrid Amorphous/Nanocrystalline Silicon Schottky Diodes for High Frequency Rectification

Type: Journal Paper

Author : Sanz-Robinson, Josue; Rieutort-Louis, Warren; Yingzhe Hu; Liechao Huang; Verma, Naveen; Wagner, Steffen; Sturm, James C.

Publisher: IEEE

Year: 2014

Graphene-based wireless bacteria detection on tooth enamel

Type: Journal Paper

Author : Mannoor, Manu S.; Tao, Hu; Clayton, Jefferson D.; Sengupta, Amartya; Kaplan, David L.; Naik, Rajesh R.; Verma, Naveen; Omenetto, Fiorenzo G.; McAlpine, Michael C.

Year: 2012

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Large-Scale Sensing System Combining Large-Area Electronics and CMOS ICs for Structural-Health Monitoring

Type: Journal Paper

Author : Yingzhe Hu; Rieutort-Louis, Warren S. /A/.; Sanz-Robinson, Josue; Liechao Huang; Glisic, Branko; Sturm, James C.; Wagner, Steffen; Verma, Naveen

Publisher: IEEE

Year: 2014

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Enabling hardware relaxations through statistical learning

[IEEE 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - San Francisco, CA, USA (2007.02.11-2007.02.15)] 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - A 65nm 8T Sub-Vt SRAM Employing Sense-Amplifier Redundancy

A 0.6–107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG

A Self-Powered System for Large-Scale Strain Sensing by Combining CMOS ICs With Large-Area Electronics

A Complete Fully Thin-Film PV Harvesting and Power-Management System on Plastic With On-Sheet Battery Management and Wireless Power Delivery to Off-sheet Loads

Hybrid Amorphous/Nanocrystalline Silicon Schottky Diodes for High Frequency Rectification

Graphene-based wireless bacteria detection on tooth enamel

Large-Scale Sensing System Combining Large-Area Electronics and CMOS ICs for Structural-Health Monitoring

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Enabling hardware relaxations through statistical learning

[IEEE 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - San Francisco, CA, USA (2007.02.11-2007.02.15)] 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers - A 65nm 8T Sub-Vt SRAM Employing Sense-Amplifier Redundancy

A 0.6&#x2013;107 &#x00B5;W Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG

A Self-Powered System for Large-Scale Strain Sensing by Combining CMOS ICs With Large-Area Electronics

A Complete Fully Thin-Film PV Harvesting and Power-Management System on Plastic With On-Sheet Battery Management and Wireless Power Delivery to Off-sheet Loads

Hybrid Amorphous/Nanocrystalline Silicon Schottky Diodes for High Frequency Rectification

Graphene-based wireless bacteria detection on tooth enamel

Large-Scale Sensing System Combining Large-Area Electronics and CMOS ICs for Structural-Health Monitoring

A 0.6–107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG