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by
Levchenko, Roman, author.
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System Center 2016 virtual machine manager cookbook : design, configure, and manage an efficient
by
Mindermann, Björn, author.
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-maschine-schnittstelle = Investigation of a hybrid brain-computer interface (BCI) for optimal design as a human-machine interface /
by
Xie, Jiachi, author.
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How Do We Use Interactive Visualization to Facilitate Game Designers to Understand and Design with
by
Dave, Abhilasha Harsukhbhai, author.
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Application of Machine Learning in Digital Logic Circuit Design Verification and Testing / Dave
by
Afzal, Mohammad Atif Faiz, author. (orcid)0000-0001-8261-2024
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From Virtual High-throughput Screening and Machine Learning to the Discovery and Rational Design of
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
Baheri Irani, Ali Khayat, author.
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The overarching objective of this research is to use machine learning tools to address the design
by
Brown, Matthew S., author. (orcid)0000-0002-6535-8877
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enough to be directly converted to bounded, non-zero volume computer aided design models. In this context
by
Yates, Heath Landon, author.
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environments. These contributions include exploring new methodologies in applying supervised machine learning
by
Zhang, Kefei Kevin, author.
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design installations for The Human Body Time Machine, an evening-length collaboratively created dance
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
Alwoimi, Bader M., author.
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of an AM Design Rule Engine to specific recommendations for each part design. A graphical user
by
Yang, Yicheng, author.
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quickly obtain capacity curve using multi-target machine learning, and global stiffness reduction of U
by
Wang, Jialei, author.
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sets enforce us to consider flexible models that are adaptive to each local machine; last but not least
by
Rowsell, Peter Alexander, author.
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study a potential molecular machine component. Taking inspiration from Fujita and Stang's success by
by
Cai, Ermao, author.
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systems. For technology-aware multi-core system design, we learn accurate performance and power models for
by
Trembley, Daniel K., author.
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the CPS rather than on the correctness of its design. However, by using both human and machine agency
by
Quinn, Daniel Braden, author.
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automation. However, these design strategies have been primarily used to facilitate initial trust formation
by
Ghasemzadeh, Mohammad, author.
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requirements are necessary. My work proposes hardware-algorithm co-design approaches to customize ML inference
by
Wang, Haiyan, author.
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The goal of this research is to design and develop a system based on advanced machine learning 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
Goldstein, Stephanie Paige, author.
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, enhance our knowledge about the appropriate methods for using machine learning to personalize intervention
by
Kubricht, James Robert, author.
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; and (ii) how to design a machine to emulate newfound capabilities. My dissertation focuses on a range
by
Koçak, Mustafa Anil, author.
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machine learning. In this thesis, we design meta-algorithms that can take any standard online prediction
by
Busquets, Ashley, author.
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extensive simulation study was conducted in which the design of a commercially available machine was
by
Kuan, Jiun-Yih, author.
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search the space of potential prosthetic and orthotic design, control, and sensing strategies so as to
by
Zeng, Tao, author.
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Conventional machine learning approaches to image analysis tasks involve the design of hand
by
Wang, Qi, author.
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statistical models and the machine learning techniques, especially statistical graphics model, to present 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
Thomas, Rodney Hartfield, author.
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The research design took a GRN and a machine learning method as input and produced output class <A
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
Founta, Vasiliki, author.
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shape (conicity), machine weight (buoyancy) and grouting pressure. The research proposes a simplified
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
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
Melvin, Ryan Lee, author.
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represents the culmination of over 60 years of rational drug design, starting with the development of 5
by
Nathan, Alexandros, author.
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-scale machine learning. The first chapter is concerned with methodological aspects of machine learning, namely