Search Results - parallel application cell algorithm*
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Parallel connected inverter for fuel cell system
Published 2008“…This paper presents the design and analysis of a new configuration of parallel connected inverter suitable for fuel cell system application. …”
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Parallel system for abnormal cell growth prediction based on fast numerical simulation
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Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization curr...
Published 2019“…Based on the findings, the cell exhibits different characteristics under different geometries of V-RFB cell at no flow channel application. …”
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Diverse cell interaction in dynamic cell sizing and VC-PGA cell priority selection method
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Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…The A/S is used to verify the proposed DATPG performance. Only one basic cell of the parallel A/S is required to determine the test pattern by considering the data flow from one cell to another. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Development of near real-time assessment system for cancer cells / Nahrizul Adib Kadri
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
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Energy Storage Reservoir Management System For Wsn With Solar Harvesting
Published 2016“…The supercapacitor is connected two in series in three parallel combination giving total of 15F capacitance. …”
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Prognosis of early cervical carcinoma using gene expression profiling
Published 2015“…Data mining and machine learning have found considerable application thru the use of microarray expression profiling inspection. …”
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A study on performance evaluation of conventional cache replacement algorithms: A review
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Proceeding Paper -
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…Currently, data encoding in DNA computing is tightly coupled with an algorithm that solves an instance of the problem. Solving another problem requires developing specific encoding and computations anew to prove DNA encoding and form the algorithm which is costly. …”
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