Search for Topics All Reviews
	Browse All Reviews > Computer Systems Organization (C) > Processor Architectures (C.1)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 475 Reviews about "Processor Architectures (C.1)": Date Reviewed   On the adaptation of recurrent neural networks for system identification Forgione M., Muni A., Piga D., Gallieri M. Automatica (Journal of IFAC) 1552023.  Type: Article In this pape, Forgione et al. propose a transfer learning methodology to adapt recurrent neural network (RNN) models for dynamic system identification to new operating conditions. The approach is premised on the concept that the dynamics of real-w... Apr 9 2024   Essentials of cloud computing: a holistic perspective Surianarayanan C., Chelliah P., Springer International Publishing, New York, NY, 2019. 309 pp.  Type: Book (978-3-030131-33-3) Why do we need cloud computing? What are the core components of cloud computing architecture and its technological foundations? What is the impact of virtualization and multitenancy on cloud security? What is the best way to migrate to... Oct 6 2020   Detection of crop pests and diseases based on deep convolutional neural network and improved algorithm Wu J., Li B., Wu Z.  ICMLT 2019 (Proceedings of the 2019 4th International Conference on Machine Learning Technologies, Nanchang, China, Jun 21-23, 2019) 20-27, 2019.  Type: Proceedings Especially in large monoculture-based agricultural settings, an outbreak of pests or diseases can have a major impact on yield or quality of a crop. Advances in image processing based on convolutional neural network (CNN) architecture ... Sep 29 2020   Building consistent transactions with inconsistent replication Zhang I., Sharma N., Szekeres A., Krishnamurthy A., Ports D. ACM Transactions on Computer Systems 35(4): 1-37, 2018.  Type: Article Large-scale transaction processing systems must balance the need for minimal response times with maintaining the integrity of the data being processed. In theory, transactions are processed sequentially in the order received. Very larg... Aug 18 2020   AndroZoo: collecting millions of Android apps for the research community Allix K., Bissyandé T., Klein J., Le Traon Y.  MSR 2016 (Proceedings of the 13th International Conference on Mining Software Repositories, Austin, Texas, May 14-22, 2016) 468-471, 2016.  Type: Proceedings This is basically a data collection paper. How did the authors collect more than three million free Android apps (more than 20 terabytes)? The answer: it’s somewhat more delicate than one might have thought. In particular, on... Aug 5 2020   Introduction to deep learning Charniak E., The MIT Press, Cambridge, MA, 2019. 192 pp.  Type: Book (978-0-262039-51-2) Deep learning has taken many application domains by storm, specifically those where artificial intelligence (AI) techniques have been struggling without too much success for decades. One of those domains is natural language processing ... Mar 5 2020   Introduction to hybrid intelligent networks: modeling, communication, and control Guan Z., Hu B., Shen X., Springer International Publishing, New York, NY, 2019. 292 pp.  Type: Book (978-3-030021-60-3) Human brains are the most advanced intelligent systems to ever exist, yet also the most mysterious systems to be explored. A hybrid intelligent network is a term coined for the brain-inspired artificial intelligence (AI) that emulates ... Feb 14 2020   Grokking deep learning Trask A., Manning Publications Co., Shelter Island, NY, 2019. 336 pp.  Type: Book (978-1-617293-70-2) Deep learning is a hot topic in artificial intelligence (AI). It is exciting to see a book that can help readers understand the ideas of deep learning without advanced knowledge of mathematics.... Feb 14 2020   Deep neural networks classification over encrypted data Hesamifard E., Takabi H., Ghasemi M.  CODASPY 2019 (Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, Richardson, TX, Mar 25-27, 2019) 97-108, 2019.  Type: Proceedings When we speak about a convolutional neural network (CNN) as a more complex deep learning algorithm, there are privacy-preserving issues that could be addressed in any study on the topic. In deep learning, CNNs are used to analyze compl... Feb 13 2020    Synthesis of quantum circuits vs. synthesis of classical reversible circuits De Vos A., De Baerdemacker S., Van Rentergem Y., Morgan&Claypool Publishers, 2018. 125 pp.  Type: Book (978-1-681733-81-4) Quantum computing is gaining momentum these days with the innovation of practical quantum computers. Therefore, a synthesis mechanism for more complex logic machines using quantum logic gates is of immense importance. In contrast, reve... Sep 30 2019       Display 510152550100 per page
	Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud® Terms of Use | Privacy Policy