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681
An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
Published 2025Get full text
doctoralThesis -
682
An effective solution to thermal-aware test scheduling on network-on-chip using multiple clock rates
Published 2017“…In this paper, a simulated annealing algorithm for thermal and power-aware test scheduling of cores in a NoC-based SoC using multiple clock rates is presented. …”
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conferenceObject -
683
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
Published 2020Get full text
doctoralThesis -
684
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685
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686
Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow
Published 2022“…We assume that the coefficients that govern this evolution are unknown and we prove that they have to satisfy a coupled system of non-linear first order ODEs. The system is solved numerically using an RK4 scheme. …”
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masterThesis -
687
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 2025“…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …”
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688
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…In this paper, these two problems of `sensors long term drift' and `delayed response' are solved simultaneously to propose a robust and fast electronic nose system, with following merits: (i) only initial transient state features are used in the proposed system without waiting for the sensors to reach a steady state, (ii) a modified boxplot approach is used to handle noisy/drifted data points as a preprocessing step before the classification setup, (iii) a heuristic tree classification approach with optimized transient features is proposed, (iv) the proposed approach only relies on adapted ML methods contrary to the traditional approaches like system recalibration or sensors replacement for handling sensors drift, and (v) the proposed ML model does not require any target domain data and uses only the source domain data for learning the classifier, opposed to the other ML solutions available in the existing literature. …”
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689
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
Published 2021“…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. …”
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690
A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining
Published 2021“…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
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691
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Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…The proposed ANN based algorithm has been used for unswerving petite term forecasting. …”
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693
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Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …”
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695
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696
Cooperative Caching Policy in Fog Computing for Connected Vehicles
Published 2023“…In this era, the magnitude of data shared is enormous and raised the bar for the quality of service and maintenance it requires. …”
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masterThesis -
697
Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
Published 2023“…Matlab/Simulink platform is used to apply the AEKF and FFAEKF algorithms on the load dataset. …”
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Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation
Published 2016“…The key novel characteristics of our system include seamless neighbor discovery and link quality estimation, intelligent clustering and channel allocation algorithms based on constrained minimum spanning trees, robustness against device mobility, and device centric operation with no changes to existing wireless systems. …”
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