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by
Alsaid, Salem, author.
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Efficient Adaptive Filter Algorithms Using Variable Tap-length Scheme / Alsaid, Salem, author.
by
Wang, Gang, author.
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Non-convex Phase Retrieval Algorithms and Performance Analysis / Wang, Gang, author.
by
Carraher, Lee A., author.
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Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data / Carraher
by
Qian, Bin, author.
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Novel Error Models and Decoding Algorithms for Decode-and-Forward Based Relay Networks / Qian, Bin
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Araseethota Manjunatha, Koushik, author.
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in the long term we use several machine learning algorithms in spectrum decision and compare it with
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Kollu, Shanthi, author.
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database, we propose to develop and implement algorithms for identifying (annotating) substructure of RNA
by
Holloway, Joshua Keegan, author.
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fidelity. One way to improve the efficiency of such algorithms to meet real-time constraints is to use
by
Hennessy, John L.
ScienceDirect https://www.sciencedirect.com/science/book/9781483207759
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concepts and algorithms used in modern computer arithmetic. Other chapters consider the abstractions and
by
Fan, Xinyi, author.
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system uses novel planning algorithms to control a structured-light scanner mounted on a calibrated
by
Ailijiang, Ailidani, author.
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coordination over wide area networks by utilizing (1) efficient architecture, (2) locality-awareness algorithms
by
Kao, Tzyy-Juin, author.
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both deterministic and stochastic optimization algorithms to achieve optimal link allocations based on
by
Al-Dabooni, Seaar Jawad Kadhim, author.
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-difference (TD(0)) and n-step TD (TD(lambda)) with their gradients are utilized as learning algorithms to train
by
Loh, Felix Da Yuan, author.
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techniques exploit the invariant properties of the algorithms used in these applications, and exploit the
by
Cai, Ermao, author.
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algorithms or optimization techniques. To have accurate models, one needs to consider not only technology
by
Martinez, Gus, author.
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navigational systems employ star identification algorithms to determine the orientation of a given space
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Ghasemzadeh, Mohammad, author.
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learning algorithms, deep neural networks and causal Bayesian analysis. The high computational complexity
by
Yao, Zhihao, author.
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systems. We first proposed two performance SLA oriented scheduling algorithms that enabling performance
by
Xing, Fuyong, author.
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efficient sparse encoding algorithms. The fast deformable model is obtained by incorporating a scalable
by
Sun, Ying, author.
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-convex structures are also discussed. The algorithms are proved to converge to a stationary point of the problems
by
Davis, Dylan A.P., author.
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proposed solutions are evaluated against several baseline algorithms from the literature, showing the value
by
Li, Ji, author.
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computing resource allocation problem, which cannot be resolved efficiently by previous algorithms. Then, a
by
Shukla, Sharabh Ramshiromani, author. (orcid)0000-0002-2841-2897
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globally optimal solution to be discovered with polynomial time algorithms. In this work, Low's conic power
by
Hentrich, David, author.
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architecture. Essentially, the algorithms are independent of the underlying processing fabric and can be
by
Li, Xian, author.
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fields. In turn, the widely adoption of CPS has created more complex systems and algorithms, which calls
by
Muñoz, Julio Alberto Reyes, author.
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. Other work relates to algorithms to decide whether to offload or not based on network or runtime
by
Siuliukina, Nataliia, author.
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reality, they are computationally unfeasible when deployed on a macroscale. Hybrid algorithms combine the
by
Lee, Jeong Eun, author.
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algorithms are developed which determine the best match between measurement data and database information
by
Parchas, Panos, author.
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mining tasks can then be efficiently processed using deterministic algorithms on these representatives
by
Atahary, Tanvir, author.
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This thesis explored several CSP algorithms and deployed two different algorithms on heterogeneous
by
Zhou, Baojian, author.
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effective algorithms for solving the SVP in CF, i.e., searching the best NC coefficient vector that provides
by
Silva, Ana Eduarda de Sá, author.
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vision technologies and automatic detection algorithms contribute to an increase in process efficiency
by
Lam, Jasmine, author.
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architectures to ensure the design constraints are met. This requires intricate understanding of the algorithms
by
Wang, Jing, author.
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-time heuristic algorithms, for the corresponding Minimum Energy Multi-sensor task Scheduling (MEMS) problem.
by
Salifu, Abdul-Mumin, author.
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This work presents several schemes for enhancing RSA encryption algorithms. First, an improved RSA
by
Rahman, Md. Tauhidur, author.
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of cryptographic algorithms (i.e., a hardware implementation of cryptographic algorithms such as RSA
by
Zheng, Amin, author.
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. Experimental results show that the proposed contour coding algorithms significantly improve the overall coding
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