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Harshad Dhotre

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2010 – 2019

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2019
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Harshad Dhotre:
Pattern analysis for power safe testing and prediction using machine learning. University of Bremen, Germany, 2019, pp. 1-138
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Harshad Dhotre, Stephan Eggersglüß, Krishnendu Chakrabarty, Rolf Drechsler:
Machine Learning-based Prediction of Test Power. ETS 2019: 1-6
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Harshad Dhotre, Stephan Eggersglüß, Rolf Drechsler:
Cluster-based Localization of IR-drop in Test Application considering Parasitic Elements. LATS 2019: 1-4
2018
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Harshad Dhotre, Stephan Eggersglüß, Rolf Drechsler, Mehdi Dehbashi, Ulrike Pfannkuchen:
Constraint-Based Pattern Retargeting for Reducing Localized Power Activity During Testing. DDECS 2018: 79-84
2017
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Harshad Dhotre, Stephan Eggersglüß, Rolf Drechsler:
Identification of Efficient Clustering Techniques for Test Power Activity on the Layout. ATS 2017: 108-113
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Harshad Dhotre, Stephan Eggersglüß, Mehdi Dehbashi, Ulrike Pfannkuchen, Rolf Drechsler:
Machine learning based test pattern analysis for localizing critical power activity areas. DFT 2017: 1-6
2016
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Harshad Dhotre, Mehdi Dehbashi, Ulrike Pfannkuchen, Klaus Hofmann:
Automated Optimization of Scan Chain Structure for Test Compression-Based Designs. ATS 2016: 185-190

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