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processing algorithm » processing algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
models using » model using (Expand Search)
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781
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
Published 2022“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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782
Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems
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conferenceObject -
783
An automated temporal partitioning tool for a class of DSP applications
Published 1998Get full text
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conferenceObject -
784
Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls
Published 2025“…Field measurements and computer simulations are conducted to model and validate daylight performance. Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. …”
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785
Control of cardiac alternans by mechanical and electrical feedback
Published 2014“…Complimentary to these studies, a three variable Nash-Panfilov model is used to investigate alternans annihilation via mechanical (or stretch) perturbations. …”
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786
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
Published 2023“…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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787
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788
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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789
Improving the security of SNMP in wireless networks
Published 2017“…Three very important security features (authentication, encryption, access control) are added to SNMPv3 under the user-based security model (USM). Symmetric cryptography is used for encryption and one-way cryptography is used for authentication. …”
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790
Robustness evaluation of real-Time Protocols
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791
Computational evluation of protein energy functions
Published 2014“…Our findings show that the CHARMM energy model tends to be more appropriate for ab initio computational techniques that predict protein structures. …”
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792
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793
Estimation of power grid topology parameters through pilot signals
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conferenceObject -
794
Robustness testing of composed real-time systems
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795
A machine learning approach for localization in cellular environments
Published 2018“…The proposed approach only assumes knowledge of RSS fingerprints of the environment, and does not require knowledge of the cellular base transceiver station (BTS) locations, nor uses any RSS mathematical model. The proposed localization scheme integrates a weighted K-nearest neighbor (WKNN) and a multilayer neural network. …”
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conferenceObject -
796
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797
The architecture of a highly reconfigurable RISC dataflow array processor
Published 2020“…This processor forms an element of a processor array which possess the features of both static and dynamic dataflow models. The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. …”
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798
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799
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
Published 2023“…The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.…”
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800
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm.…”