Search Results - optimal ((((learning algorithm) OR (graph algorithm))) OR (based algorithm))
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1
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address this issue, this study incorporated joint graph learning from the gmc algorithm into swmcan, creating a new algorithm called swmcan-jg. …”
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2
Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Meanwhile, opposition-based learning (OBL), is an effective technique used to improve the performance of different optimization algorithms, including HS. …”
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Article -
3
Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…To capture the spatiotemporal channel state information (CSI), the second proposed algorithm adopts machine learning techniques with anchor graph hashing to extract generalized features before feeding them into the DQN. …”
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Final Year Project / Dissertation / Thesis -
4
Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
5
Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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6
The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning
Published 2025“…These continuous updates makes the graph to be highly dynamic, where nodes/edges are added to or removed from the graph always. …”
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Proceeding Paper -
7
Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan
Published 1997“…Searching for possible abutment between the transistor pairs are modelled as a bipartite graph. A depth - first search algorithm is used to search for optimal chaining. …”
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8
African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
Published 2015“…The African Buffalo Optimization (A.B.0) algorithm simulates the African buffalos' behaviour by encapsulation in a mathematical model; which solves a number of discrete optimization problems using graph-based route planning, job scheduling and it extends Swarm Intelligence paradigms. …”
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Article -
9
DeMI interface tool for profit estimation and waste conversion technology recommendations in enhancing municipal solid waste management
Published 2024“…Leveraging the accelerated branch-and-bound algorithm, the P-graph efficiently generates optimal structures capable of accommodating diverse complexities, thus ensuring adaptability in synthesising process configurations. …”
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10
Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Article -
11
Approximate methods for minimum vertex cover fail to provide optimal results on small graph instances: A review
Published 2018“…The key contribution of this paper is the provision of small benchmark graphs on which the given approximation algorithms fail to provide optimal results. …”
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Article -
12
Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Student Project -
13
Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…At hidden neuron value of 20, search is for backpropagation and number of neurons in the hidden layer to optimize the ANN. Levenberg-Marquardt algorithm (trainlm) gave the best performance fitness out of different types of backpropagation algorithm used with least Mean Square Error (MSE) of 0.0814 corresponding to R-value of 0.8094. …”
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Article -
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Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
Published 2015“…The first experiment was conducted by applying two approaches i) graph colouring algorithm, ii) DLS scheme. The second experiment was to determine the femtocell location by using DSL scheme as well. …”
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Thesis -
15
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…It is noted that active user intervention increases the acceleration of Genetic Algorithm towards an optimal solution. In proposed research work, the user is aided by a visualization based on the representation of multidimensional Genetic Algorithm data on 2-0 space. …”
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17
Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Research Reports -
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A comparative study of greedy algorithms and dynamic programming in road network / Nuralya Sofea Hairulanuar
Published 2024“…The Bellman Ford algorithm is notable for its capability to manage graphs with negative weights, however it is less efficient than Dijkstra's algorithm for graphs with non-negative weights. …”
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19
Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…In addition, a graph algorithm based on greedy methods is employed to compute a new set of optimal weighted electronic properties of the fullerenes via computing their Minimum Weight Spanning Trees (MWSTs). …”
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Thesis -
20
Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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