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A novel AlGaN/GaN HEMT with a p-layer in the barrier

نوع: Journal Paper

نویسنده : S. M. Razavi; S. H. Zahiri; سید ابراهیم حسینی; Seyed Ebrahim Hosseini

سال: 2013

خلاصه:

The potentialimpactofgallium-nitride(GaN)highelectronmobilitytransistor(HEMT)withap-layerin

the barrierisreported.Weinvestigatethedeviceperformancefocusingonshortchanneleffects,gate–

drain capacitance,electric ...

Classification of Texture Using Gray Level Co-occurrence Matrix and Self-Organizing Map

نوع: Conference Paper

نویسنده : Thakare, V.S. , Patil, N.N.

ناشر: IEEE

سال: 2014

Employing Smartphones as a Low-Cost Multi Sensor Platform in a Field Operational Test with Electric Vehicles

نوع: Conference Paper

نویسنده : Pfriem, M. , Gauterin, F.

ناشر: IEEE

سال: 2014

Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy

نوع: Conference Paper

نویسنده : Sterling, M.; Huang, D.T.; Ghoraani, B.

ناشر: IEEE

سال: 2014

Feature extraction with stacked autoencoders for epileptic seizure detection

نوع: Conference Paper

نویسنده : Supratak, A.; Ling Li; Yike Guo

ناشر: IEEE

سال: 2014

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A novel AlGaN/GaN HEMT with a p-layer in the barrier

Classification of Texture Using Gray Level Co-occurrence Matrix and Self-Organizing Map

Employing Smartphones as a Low-Cost Multi Sensor Platform in a Field Operational Test with Electric Vehicles

Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy

Feature extraction with stacked autoencoders for epileptic seizure detection

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A novel AlGaN/GaN HEMT with a p-layer in the barrier

Classification of Texture Using Gray Level Co-occurrence Matrix and Self-Organizing Map

Employing Smartphones as a Low-Cost Multi Sensor Platform in a Field Operational Test with Electric Vehicles

Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy

Feature extraction with stacked autoencoders for epileptic seizure detection