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by
Choi, Wonje, author.
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Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design /
by
Cakir, Burcin, author.
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reference behavioral design or a corresponding block diagram accompanied by a natural-language document
by
Rios, Michael, author.
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machine design procedure for a foil armature permanent magnet synchronous machine is presented and the
by
Zhao, Yiting, author.
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interface design, economic optimal power flow, and intelligence machine learning from the previous record.
by
Huang, Yun-Chiao, author.
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function of E-skins. Here we report a new design of pressure-sensing E-skins by integrating a unique
by
Satapathy, Suresh Chandra. editor.
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Preservation in Cloud Computing with Double Encryption Method -- A Machine learning based approach for Opinion
by
Patnaik, Srikanta. editor.
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embedded systems, RFID, RF MEMS, VLSI design and electronic devices, analog and mixed-signal IC design and
by
Lin, Ruiyang, author.
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thermal analysis on the machine metrics is discussed. Using the proposed approaches, the computational
by
Zhang, Jian, author.
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studies are first investigated through a single-machine infinite-bus system. The third-order dynamic model
by
Refai, Mustafa A. H., author.
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prototype machine and its simulation, practical construction of the machine, construction of the system and
by
Chen, Tao, author.
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-oriented accelerator design methodology is costly and inefficient because it requires significant manual effort in the
by
Nabulsi, Ala-Addin, author.
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Computer Aided Design (CAD) software known as Solidworks. To achieve this a commercial EMG armband (the Myo
by
Ebrahimzadeh Houlasou, Ehsan, author.
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proven to be effective in capturing story dynamics do not have a scalable machine learning formulation
by
Shea, Adam, author.
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among the phase modules or machine phases. A combination of closed-form analysis and digital simulation
by
Di Gioia, Antonio, author.
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-wound field hybrid excitation synchronous machine (HESM) for electric and hybrid-electric vehicle traction
by
Das, Sourav, author. (orcid)0000-0002-7404-8133
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machine learning-based approach to overcome these computational challenges and design an efficient and
by
Binnie, Jonathan Nicholas, author.
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. Four types of machine are found suitable for detailed analysis namely the linear reluctance motor, the
by
Tzoumas, Vasileios, author.
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-constrained maximization have met great success in machine learning and facility location, they are unable to meet the
by
Singh, Rajesh. editor.
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, embedded and real-time software, VLSI and embedded systems, FPGA, digital system and logic design, image

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