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processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
time processing » image processing (Expand Search), text processing (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
123
Virtual topologies for massively parallel computations. (c2015)
Published 2015Get full text
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masterThesis -
124
A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
Published 2024“…It calculates the dimension relevance with various data instances. These further place the relevant dimension samples in one group. …”
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Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
Published 2022“…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …”
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128
On-site workshop investment problem: A novel mathematical approach and solution procedure
Published 2023“…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …”
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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
Published 2022“…CIP can be used in conjunction with relevance ranking metrics like NDCG and MAP to measure the effectiveness of the cold-start recommendation algorithm.…”
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C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
Published 2023“…Further, no indication is given of how close the trace is to termination—a highly relevant measure in a streaming setting. This paper introduces a novel approximate streaming conformance checking algorithm that enriches prefix-alignments with confidence and completeness measures. …”
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131
Toward automatic motivator selection for autism behavior intervention therapy
Published 2022“…Analysis of the algorithm performance showed promising results and indicated improvement of the recommendations over time.…”
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132
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…TIDCS-A proposes a dynamic algorithm to compute the exact time for nodes cleansing states and restricts the exposure window of the nodes. …”
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133
Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
Published 2019Get full text
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134
Correlation Clustering with Overlaps
Published 2020“…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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masterThesis -
135
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Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Published 2023“…PubMed, Google Scholar, Science Direct, BioRXiv, and MedRxiv were explored to identify relevant articles. Study selection and data extraction were independently conducted by 2 reviewers. …”
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Investigation of Forming a Framework to shortlist contractors in the tendering phase
Published 2022“…This research has generated a base model that can be altered depending on the project requirements which can assist all parties involved within the tendering process to save time and money and improve the success rate of projects. …”
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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…It has been shown that while feature selection algorithms are able to distinguish between relevant and irrelevant features, they fail to differentiate between relevant and redundant and correlated features. …”
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139
Multi-Objective Task Allocation Via Multi-Agent Coalition Formation
Published 2012Get full text
doctoralThesis -
140
A clustering metaheuristic for large orienteering problems
Published 2022“…The obtained solutions are then merged to form a solution for the original problem, and then further optimized and processed to ensure feasibility. The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”