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research algorithm » search algorithm (Expand Search)
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code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
research algorithm » search algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
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221
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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222
UML-based regression testing for OO software
Published 2010“…In the first phase, we select both unit and system test cases that directly traverse the changed methods and their calling methods. For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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article -
223
Scatter search for protein structure prediction. (c2008)
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masterThesis -
224
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis
Published 2014“…The proposed method utilizes an efficient message-passing algorithm called affinity propagation, based on which we identify groups – or subnetworks – of discriminative and synergistic genes, whose protein products are closely located in the protein-protein interaction (PPI) network. …”
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225
Fragment based protein structure prediction. (c2013)
Published 2016“…This work presents a fragment based protein tertiary structure prediction method that provides suboptimal structures. …”
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masterThesis -
226
A Novel Centrality-Based Approach for Link Prediction
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masterThesis -
227
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Design of adaptive arrays based on element position perturbations
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Condenser capacity and hyperbolic perimeter
Published 2022“…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”
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232
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024“…Lastly, the efficacy of the proposed method is demonstrated through simulations, and the obtained results are compared with those of Voronoi-based algorithms.…”
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233
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Published 2022“…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …”
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234
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
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doctoralThesis -
235
A hybrid cryptosystem based on WEP for 802.11 networks
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236
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Practical Multiple Node Failure Recovery in Distributed Storage Systems
Published 2016“…The fractional repetition (FR) code is a class of regenerating codes that consists of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …”
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conferenceObject -
238
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
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doctoralThesis -
239
Extreme Early Image Recognition Using Event-Based Vision
Published 2023“…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …”
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240
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”