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implementing based » implementing bundled (Expand Search)
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181
Parallel tabu search in a heterogeneous environment
Published 2003“…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
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182
Timing influenced general-cell genetic floorplanner
Published 2020“…The first phase is implemented using genetic algorithm while in the second phase we adopt a constraint graph based approach. …”
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183
A novel technique for fast multiplication
Published 2020“…In the case of 2 s complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithm is modelled in a hardware description language and its VLSI chip implemented. …”
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184
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185
Cross entropy error function in neural networks
Published 2002“…The first model is a univariate model based on past GC values. The second model is a trivariate model based on GC, price and car registration time series. …”
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conferenceObject -
186
A method for efficient NoC test scheduling using deterministic routing
Published 2017“…The method uses a deterministic routing algorithm that minimizes test time while avoiding blocking. …”
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conferenceObject -
187
Design and simulation of superdirective adaptive antenna arrays
Published 1990“…A novel technique for the design and implementation of an adaptive superdirective antenna array is presented. …”
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188
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
189
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
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doctoralThesis -
190
A novel technique for fast multiplication
Published 1995“…In case of 2's complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithms is modeled in a hardware description language and its VLSI chip implemented. …”
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191
An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
Published 2022“…A holistic and practical approach of DR implementation is missing in the literature. This study proposes a dynamic fair incentive mechanism using a multi-scheme load control algorithm for a large number of DR participants coordinating with the existing network equipment for managing voltage at medium voltage (MV) networks. …”
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192
A simplified sliding‐mode control method for multi‐level transformerless DVR
Published 2022“…First, the use of FCS eliminates the modulator requirement, which reduces the design complexity in the practical implementation. Second, an effective method based on charging/discharging conditions of DC capacitors is proposed for balancing capacitor voltages using relevant switching state rather than combining DC voltage error with the inductor current error through a suitable weighting factor in forming the cost function. …”
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193
Digital Image Watermarking Using Balanced Multiwavelets
Published 2006“…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …”
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194
On the Generation of Quantified Lemmas
Published 2018“…<p dir="ltr">In this paper we present an algorithmic method of lemma introduction. Given a proof in predicate logic with equality the algorithm is capable of introducing several universal lemmas. …”
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195
Solution of Fractional Differential Equations: Transform and Iterative Methods Approach
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doctoralThesis -
196
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
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doctoralThesis -
197
Guidance, Control and Trajectory Tracking of Small Fixed Wing Unmanned Aerial Vehicles (UAV's)
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doctoralThesis -
198
A method for efficient mapping and reliable routing for NoC architectures with minimum bandwidth and area
Published 2017“…The method is implemented and various benchmarks are attempted.…”
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conferenceObject -
199
Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…Therefore, there is a need for an intelligent model capable of scheduling fog placement based on the user’s requests. In this paper, we propose a Fog Scheduling Decision model based on reinforcement R-learning, which focuses on studying the behavior of service requesters and produces a suitable fog placement schedule based on the concept of average reward. …”
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200
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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