Search Results - (( decrease and decrease learning parameters ) OR ( decrease toc decrease decrease after ))*

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[en] MACHINE LEARNING-BASED MAC PROTOCOLS FOR LORA IOT NETWORKS

by DAYRENE FROMETA FONSECA

Published 2020

Subjects: “...[en] REINFORCEMENT LEARNING ALGORITHMS...”
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Doctoral thesis

Computational intelligence and statistical learning applied to Coffea canephora

by Sousa, Ithalo Coelho de

Published 2022

“... machine learning (bagging and random forest) algorithms and comparing them with BLASSO (Bayesian Least...”
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Doctoral thesis

Alterações na personalidade após procedimento de capsulotomia ventral anterior por raios gama em pacientes com transtorno obsessivo-compulsivo (TOC) refratário

by Paiva, Raquel Reis de

Published 2017

“...O Transtorno Obsessivo-Compulsivo (TOC) consiste em uma doença crônica caracterizada pela presença...”
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Master thesis

Advancements in two-phase flow regime classification: a comparative study of machine learning and deep learning approaches using wire-mesh sensor data

by Ambrosio, Jefferson dos Santos

Published 2024

Subjects: “...Deep learning (Machine learning)...”
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Doctoral thesis

A study on detection and localization of leakages in water distribution systems using a hydraulic model simulator and deep learning

by Santos, Francisco Manuel Rodrigues dos

Published 2023

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Master thesis

Estimativa do teor de água no solo em bacia hidrográfica com redes neurais artificiais utilizando fatores físicos e climáticos

by Oliveira, Marquis Henrique Campos de

Published 2014

Subjects: “...Physical soil parameters and relief...”
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Master thesis

Effects of gamma irradiation on physical parameters of Lactarius deliciosus wild edible mushroom

by Fernandes, Ângela

Published 2012

Subjects: “...Physical parameters...”
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Data classification and reinforcement learning to avoid congestion on SDN-based data centers

by Diel G.*

Published 2022

“... and actor-critic reinforcement learning to find better TCP parameters. Our experimental analysis shows...”
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Conference object

RSCAT: Towards zero touch congestion control based on actor–critic reinforcement learning and software-defined networking

by Diel G.*

Published 2023

“..., this work proposes Reinforcement Learning and SDN-aided Congestion Avoidance Tool (RSCAT), which uses...”
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Article

W-operator learning using linear models for both gray-level and binary inputs

by Montagner, Igor dos Santos

Published 2017

Subjects: “...Machine learning...”
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Doctoral thesis

Neuronal mitochondrial metabolism and dynamic profiling under physiological and pathological conditions using biological-based machine learning approaches

by Simões, Rui Fernando Vieira Lisboa Matias

Published 2021

Subjects: “...machine learning...”
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Modelling anaerobic digestion of sewage sludge: mechanistic models vs machine learning

by Duarte, Maria Salomé Lira

Published 2022

“... (WWTPs) to stabilize and decrease the organic content of sludge. This process decreases the costs...”
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Deep Learning for Automated Adequacy Assessment of Cervical Cytology Samples

by Mosiichuk, Vladyslav

Published 2022

Subjects: “...Machine Learning...”
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Master thesis

Ensemble Learning Methodologies for Soft Sensor Development in Industrial Processes

by Soares, Symone Gomes

Published 2015

Subjects: “...Ensemble Learning...”
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Skin cancer classification dermatologist-level based on deep learning model

by Albawi, Saad

Published 2022

Subjects: “...skin câncer; cancer recognition; deep learning; convolutional neural network...”
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Article

Remoção de nitrogênio de efluente suinícola a diferentes relações C/N utilizando-se o processo MLE

by Giongo, Adelcio

Published 2016

Subjects: “...TOC consumption...”
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Master thesis

Prediction of surface roughness and material removal rate in wire electrical discharge machining...

by Thankachan, Titus

Published 2019

Subjects: “...Machine learning...”
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Article

Identification of novel biomarkers and candidate genes associated to lipid traits : improving the lipid metabolism knowledge base

by Correia, Marta

Published 2022

Subjects: “...métodos baseados em machine learning...”
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Learning curve of radiology residents during training in fluoroscopy-guided facet joint injections

by Dias,Tiago Rocha

Published 2017

Subjects: “...Learning curve...”
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Article

Evaluation of deep learning methods in a dual prediction scheme to reduce transmission data in a WSN

by Morales, Carlos R.

Published 2021

“... prediction to decrease the amount of transmitted data is one of the approaches to solve this problem. This...”
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