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using algorithm » cosine algorithm (Expand Search)
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181
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
182
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183
A method for data path synthesis using neural networks
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conferenceObject -
184
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …”
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185
A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems
Published 2017“…The formulation is decomposed into two interdependent sub-problems and solved using a combination of metaheuristic and deterministic optimization techniques. …”
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186
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
Published 2017Get full text
doctoralThesis -
187
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
Published 2024“…These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc. …”
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188
Boosting the visibility of services in microservice architecture
Published 2023“…In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …”
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189
Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…<p dir="ltr">In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. …”
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190
Dynamic Layout Planning Using a Hybrid Incremental Solution Method
Published 1999“…For each resource, selected heuristically one at a time, constraint satisfaction is used to compute sets of feasible positions. Subsequently, a linear program is solved to find the optimal position for each resource so as to minimize all costs. …”
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191
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
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doctoralThesis -
192
Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents
Published 2019“…It was observed that the linear classification algorithm was not able to detect heart attack in noisy data, whereas the support vector machine (SVM) algorithm with polynomial kernel with extended time–frequency features using extended modified B-distribution (EMBD) showed highest accuracy and was able to detect 97.4% and 96.3% of ST-elevation myocardial infarction (STEMI) and non-ST-elevation MI (NSTEMI), respectively. …”
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193
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
Published 2024“…The scammers are making money through fraudulent job postings. Online recruitment fraud has emerged as an important issue in cybercrime. …”
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194
An efficient method for the open-shop scheduling problem using simulated annealing
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conferenceObject -
195
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196
A clustering metaheuristic for large orienteering problems
Published 2022“…The metaheuristic starts by decomposing the problem into smaller, independent sub-problems that are efficiently solved using an algorithm of choice, sequentially or in parallel. …”
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197
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
198
What are artificial intelligence literacy and competency? A comprehensive framework to support them
Published 2024“…We also identify five effective learning experiences to foster abilities and confidences, and suggest five future research directions: prompt engineering, data literacy, algorithmic literacy, self-reflective mindset, and empirical research.…”
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199
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
Published 2017Get full text
doctoralThesis -
200
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
Published 2019“…However, most of the techniques in the literature are not suitable for large cooperative networks such as device-to-device and wireless sensor networks that are composed of a massive number of active devices, which significantly increases the relay selection complexity. Therefore, to solve this problem and enhance the spatial and frequency diversity orders of large amplify and forward cooperative communication networks, in this paper, we develop three multiple relay selection and distributed beamforming techniques that exploit sparse signal recovery theory to process the subcarriers using the low complexity orthogonal matching pursuit algorithm (OMP). …”