Academic literature on the topic 'Hybrid computer architecture'

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Journal articles on the topic "Hybrid computer architecture"

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Korolija, Nenad, and Kent Milfeld. "Towards hybrid supercomputing architectures." Journal of Computer and Forensic Sciences 1, no. 1 (2022): 47–54. http://dx.doi.org/10.5937/1-42710.

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In light of recent work on combining control-flow and dataflow architectures on the same chip die, a new architecture based on an asymmetric multicore processor is proposed. The control-flow architectures are described as a most commonly used computer architecture today. Both multicore and manycore architectures are explained, as they are based on the same principles. A dataflow computing model assumes that data input flows through hardware as either a software or hardware dataflow implementation. In software dataflow, processors based on the control-flow paradigm process tasks based on their
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Tseng, Chien-Chao, Chih-Zong Lin, Jiunn-Kai Hwang, and Kuo-Tai Lin. "A data driven hybrid computer architecture." Microprocessing and Microprogramming 35, no. 1-5 (1992): 89–96. http://dx.doi.org/10.1016/0165-6074(92)90299-m.

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A.V., Chistyakov. "On improving the efficiency of mathematical modeling of the problem of stability of construction." Artificial Intelligence 25, no. 3 (2020): 27–36. http://dx.doi.org/10.15407/jai2020.03.027.

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Algorithmic software for mathematical modeling of structural stability is considered, which is reduced to solving a partial generalized eigenvalues problem of sparse matrices, with automatic parallelization of calculations on modern parallel computers with graphics processors. Peculiarities of realization of parallel algorithms for different structures of sparse matrices are presented. The times of solving the problem of stability of composite materialsusing a three-dimensional model of "finite size fibers" on computers of different architectures are given. In mathematical modeling of physical
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Kabošová, Lenka, Isak Foged, Stanislav Kmeť, and Dušan Katunský. "Hybrid design method for wind-adaptive architecture." International Journal of Architectural Computing 17, no. 4 (2019): 307–22. http://dx.doi.org/10.1177/1478077119886528.

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The linkage of individual design skills and computer-based capabilities in the design process offers yet unexplored environment-adaptive architectural solutions. The conventional perception of architecture is changing, creating a space for reconfigurable, “living” buildings responding, for instance, to climatic influences. Integrating the element of wind to the architectural morphogenesis process can lead toward wind-adaptive designs that in turn can enhance the wind microclimate in their vicinity. Geometric relations coupled with material properties enable to create a tensegrity-membrane stru
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Abramson, D. "The RMIT Data Flow Computer: A Hybrid Architecture." Computer Journal 33, no. 3 (1990): 230–40. http://dx.doi.org/10.1093/comjnl/33.3.230.

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Brajkovic, Jelena, and Lidija Djokic. "Principles and modes of new media architecture." Facta universitatis - series: Architecture and Civil Engineering 15, no. 2 (2017): 239–49. http://dx.doi.org/10.2298/fuace170303018b.

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The contemporary age is marked by the rapidly advanced digital revolution, unstoppable rise of computer technologies and omnipresence of technological advancements in all aspects of everyday life. In the information era, computer technologies have become pervasive, ubiquitous and dominant. Their hybridization with previously present media forms resulted in the emergence of a new and exuberant field of new media and technologies. New media is a hybrid field of computer based technological forms, which are used in contemporary practice, not only as tool, but also as an expressive medium. Because
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Gan, Shiyu, Daniela Chrenko, Alan Kéromnès, and Luis Le Moyne. "Development of a Multi-Architecture and Multi-Application Hybrid Vehicle Design and Management Tool." Energies 11, no. 11 (2018): 3185. http://dx.doi.org/10.3390/en11113185.

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Hybrid electric vehicles (HEVs) are very promising sustainable mobility solutions. Series, parallel and series-parallel (SP) seem to be three most promising architectures among the multitude of hybrid architectures, and it is possible to find them in a multi-applications such as the motorcycles, family-cars, hybrid city busses and sport cars. It is import to have a well configured model in order to develop the different control strategies (CsTs) for each application. Therefore, a multi-architecture/multi-application (MAMA) approach capable of identifying the most energy efficient hybrid archit
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Liu, Zhenghao, and Xi Zeng. "Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service." Data and Information Management 5, no. 2 (2021): 262–76. http://dx.doi.org/10.2478/dim-2020-0051.

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Abstract Based on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break thro
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Bazuku, Robert, Anaamotulim Anab, Seth Gyemerah, and Mohammed I. Daabo. "An Overview of Computer Operating Systems and Emerging Trends." Asian Journal of Research in Computer Science 16, no. 4 (2023): 161–77. http://dx.doi.org/10.9734/ajrcos/2023/v16i4380.

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This article presents an overview of computer operating systems (OS) and emerging trends. OS is simply defined as an interface between computer hardware and the user. The objective of the study is to investigate the emerging trends of OS and to find out the direction of OS for modern computing systems. To achieve this goal the paper looks at the concepts of OS, its underlying architectures and evolution. The papers also outline the components of the OS provide knowledge on security issues with OS architectures and provide best practices to secure OS. The paper found out that the current trends
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Pan, Sichen, Tarun Kumar Gupta, and Khalid Raza. "BatTS: a hybrid method for optimizing deep feedforward neural network." PeerJ Computer Science 9 (January 10, 2023): e1194. http://dx.doi.org/10.7717/peerj-cs.1194.

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Deep feedforward neural networks (DFNNs) have attained remarkable success in almost every computational task. However, the selection of DFNN architecture is still based on handcraft or hit-and-trial methods. Therefore, an essential factor regarding DFNN is about designing its architecture. Unfortunately, creating architecture for DFNN is a very laborious and time-consuming task for performing state-of-art work. This article proposes a new hybrid methodology (BatTS) to optimize the DFNN architecture based on its performance. BatTS is a result of integrating the Bat algorithm, Tabu search (TS),
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Dissertations / Theses on the topic "Hybrid computer architecture"

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Palmer, Joseph McRae. "The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT) /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd855.pdf.

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Abraham, Ajith 1968. "Hybrid soft computing : architecture optimization and applications." Monash University, Gippsland School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8676.

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Iannucci, Robert A. "A dataflow/von Neumann hybrid architecture." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14778.

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Ibrahim, Shibal. "Hybrid power-system architecture for micro-grid." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115744.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 77-79).<br>Load-independent, fixed-speed operation of prime-movers, such as gas turbines and diesel engines, leads to degraded efficiency at part-loaded conditions. This thesis looks at a hybrid power-system architecture that can boost fuel economy through coordinated variable-speed operation of both prime-movers and drive loads. The propulsion plant of an electric ship serves as an example o
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Hum, Herbert Hing-Jing. "The super-actor machine : a hybrid dataflowvon Neumann architecture." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39346.

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Emerging VLSI/ULSI technologies have created new opportunities in designing computer architectures capable of hiding the latencies and synchronization overheads associated with von Neumann-style multiprocessing. Pure Dataflow architectures have been suggested as solutions, but they do not adequately address the issues of local memory latencies and fine-grain synchronization costs. In this thesis, we propose a novel hybrid dataflow/von Neumann architecture, called the Super-Actor Machine, to address the problems facing von Neumann and pure dataflow machines. This architecture uses a novel high-
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Huang, Henna Priscilla. "Hybrid flow data center network architecture design and analysis." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108998.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 127-132).<br>In this thesis, we propose a hybrid flow network architecture for future data center. The hybrid flow architecture has its origins in the early 1990s with studies on all-optical networks and fiber-optical computer networks. Research in optical flow switching has spanned over two decades. Our contribution to the study of all-optical networks is on the performance of hybrid flow
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Boosabaduge, Prasad Priyadarshana Fernando. "Hybrid Recommender System Architecture for Personalized Wellness Management." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1457107427.

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Tang, Hon-ping. "A hybrid multi-agent system architecture for manufacturing cell control." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/HKUTO/record/B38628727.

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Tang, Hon-ping, and 鄧漢平. "A hybrid multi-agent system architecture for manufacturing cell control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B38628727.

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Palmer, Joseph M. "The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT)." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/555.

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The FFT is an efficient algorithm for computing the DFT. It drastically reduces the cost of implementing the DFT on digital computing systems. Nevertheless, the FFT is still computationally intensive, and continued technological advances of computers demand larger and faster implementations of this algorithm. Past attempts at producing high-performance, and small FFT implementations, have focused on custom hardware (ASICs and FPGAs). Ultimately, the most efficient have been single-chipped, streaming I/O, pipelined FFT architectures. These architectures increase computational concurrency throug
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Books on the topic "Hybrid computer architecture"

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Abraham, Kandel, and Langholz Gideon, eds. Hybrid architectures for intelligent systems. CRC Press, 1992.

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Maia, Engeli, and Eidgenössische Technische Hochschule Zürich, eds. Bits and spaces: Architecture and computing for physical, virtual, hybrid realms : 33 projects by Architecture and CAAD, ETH Zurich. Birkhäuser, 2001.

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Iannucci, Robert A. Parallel Machines: Parallel Machine Languages: The Emergence of Hybrid Dataflow Computer Architectures. Springer US, 1990.

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Ulrich, Schäfer. Integrating deep and shallow natural language processing components: Representations and hybrid architectures. German Reseach Center for Artificial Intelligence, 2007.

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Kandel, Abraham, and Gideon Langholz. Hybrid Architectures for Intelligent Systems. Taylor & Francis Group, 2020.

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Kandel, Abraham, and Gideon Langholz. Hybrid Architectures for Intelligent Systems. Taylor & Francis Group, 2020.

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Kandel, Abraham, and Gideon Langholz. Hybrid Architectures for Intelligent Systems. Taylor & Francis Group, 2020.

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Kandel, Abraham, and Gideon Langholz. Hybrid Architectures for Intelligent Systems. Taylor & Francis Group, 2020.

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Rutkowska, Danuta. Neuro-Fuzzy Architectures and Hybrid Learning. Physica-Verlag, 2010.

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Rutkowska, Danuta. Neuro-Fuzzy Architectures and Hybrid Learning. Physica-Verlag, 2012.

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Book chapters on the topic "Hybrid computer architecture"

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Billington, David, Vladimir Estivill-Castro, René Hexel, and Andrew Rock. "Architecture for Hybrid Robotic Behavior." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02319-4_18.

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Wu, Yanhua, Yunze Cai, and Xiaoming Xu. "Dynamic Hybrid DVE Architecture." In Advances in Computer Science – ASIAN 2005. Data Management on the Web. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596370_10.

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Roloff, Sascha, Frank Hannig, and Jürgen Teich. "Hybrid Network-on-Chip Simulation." In Computer Architecture and Design Methodologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8387-8_4.

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Fraile, Juan A., Javier Bajo, Ajith Abraham, and Juan M. Corchado. "HoCaMA: Home Care Hybrid Multiagent Architecture." In Computer Communications and Networks. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-599-4_12.

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Chella, Antonio, Salvatore Gaglio, Giuseppe Sajeva, and Fausto Torterolo. "A hybrid architecture for autonomous agents." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63576-9_100.

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Iannucci, Robert A. "Compiling for the Hybrid Architecture." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1543-8_4.

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Leng, Jinsong, Colin Fyfe, and Lakhmi Jain. "Teamwork and Simulation in Hybrid Cognitive Architecture." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893004_61.

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Bajo, Javier, Dante I. Tapia, Ana de Luis, Sara Rodríguez, Juan F. de Paz, and Juan M. Corchado. "Hybrid Architecture for a Reasoning Planner Agent." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74827-4_58.

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Goldman, Robert P., Daniel Bryce, Michael J. S. Pelican, David J. Musliner, and Kyungmin Bae. "A Hybrid Architecture for Correct-by-Construction Hybrid Planning and Control." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40648-0_29.

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Schloss, Gerhard A., and Michael Vernick. "HCSA: A Hybrid Client-Server Architecture." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1401-1_15.

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Conference papers on the topic "Hybrid computer architecture"

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Gholivand, Rezvan, Pejman Goudarzi, and Davood Maleki. "An Improved Hybrid Data Warehousing Architecture for Cloud Service Providers." In 2025 29th International Computer Conference, Computer Society of Iran (CSICC). IEEE, 2025. https://doi.org/10.1109/csicc65765.2025.10967465.

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Hasan Joy, Md Mahedi, Mahede Hasan, Tamim Al Mahmud, Muhammad Nazrul Islam, and Faiz Al Faisal. "Lymphatic Node Cancer Classification using Advanced Hybrid Deep Neural Architecture." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11021985.

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Zhang, Xiuping. "Hybrid Recurrent Neural Network-Support Vector Machine Architecture for Computer-aided Translation System." In 2025 3rd International Conference on Data Science and Information System (ICDSIS). IEEE, 2025. https://doi.org/10.1109/icdsis65355.2025.11070892.

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Xie, Xiaoyu. "A Hybrid CNN-LSTM Architecture for Enhanced Music Genre Classification." In 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA). IEEE, 2024. http://dx.doi.org/10.1109/icmlca63499.2024.10753693.

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Liu, Yuxin, and Ruiyi Wang. "Differentiable Neural Architecture Search Based on Hybrid Attention for Classification." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010350.

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Zhang, Wenzhuo, Yu Zhou, Anzhou Lai, Liang Yang, and Shao Jian. "ADP: An Adaptive Downgrade Predictor for Hybrid Multi-Die Architecture." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929263.

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Zhang, Xiangyue. "MobileNetV2-Transformer Hybrid Architecture for Effective Video Frame Embeddings Prediction." In 2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024. https://doi.org/10.1109/iceace63551.2024.10898558.

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Nijhum, S. M. Rashidul Hasan, and Jarin Tasnim Tonvi. "Enhancing Travel Recommendation Using Collaborative Filtering and Hybrid Data-Driven Architecture." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. https://doi.org/10.1109/ecce64574.2025.11014034.

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Dolan, Ryanne, Guilherme DeSouza, and Dan Caputo. "The Swarm Computer, an analog cellular-swarm hybrid architecture." In 2010 10th International Conference on Hybrid Intelligent Systems (HIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/his.2010.5600079.

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Vasilakis, Evangelos, Vassilis Papaefstathiou, Pedro Trancoso, and Ioannis Sourdis. "Hybrid2: Combining Caching and Migration in Hybrid Memory Systems." In 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2020. http://dx.doi.org/10.1109/hpca47549.2020.00059.

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Reports on the topic "Hybrid computer architecture"

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Michael, Chris J., Elias Z. Ioup, and David W. Dobson. Customized Architecture for Complex Routing Analysis: Case Study for the Convey Hybrid-Core Computer. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada596742.

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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.

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We introduce KANICE, a novel neural architecture that combines Convolutional Neural Networks (CNNs) with Kolmogorov-Arnold Network (KAN) principles. KANICE integrates Interactive Convolutional Blocks (ICBs) and KAN linear layers into a CNN framework. This leverages KANs’ universal approximation capabilities and ICBs’ adaptive feature learning. KANICE captures complex, non-linear data relationships while enabling dynamic, context-dependent feature extraction based on the Kolmogorov-Arnold representation theorem. We evaluated KANICE on four datasets: MNIST, Fashion-MNIST, EMNIST, and SVHN, compa
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