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3RD INTERNATIONAL CONFERENCE ON BIG DATA AND MACHINE LEARNING (BML'22)

23-24 May, 2022 Istanbul, Turkey (Hybrid)

Editore:Sciendo

The 3rd edition of the International Conference on Big Data and Machine Learning (BML’22) is a major gathering of researchers, engineers, and practitioners within the fields of Big Data, Machine Learning, and Artificial Intelligence, from both theoretical and practical perspectives. We strongly encourage contributions that describe real-world problems, interdisciplinary research, and experimental and/or theoretical studies that yield new insights to advance Big Data and Machine Learning. Submitted papers should be original and relevant to any of the areas listed below.

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Frontmatter
Contents
Automatic Filtering of LiDAR Building Point Cloud Using Multilayer Perceptron Neuron Network
The Profitable Gates Location on the Highway of the Dynamic Wireless Charging Transmitter for the Electric Vehicles
Metadata modeling for data lakes based on dynamic ontologies
A Novel hybrid model for the detection of drivers' drowsiness based on EEG signals and personalized extra-trees classification
Optimal power flow using Machine Learning: A survey
Cartography for the training of Deep Learning algorithms on fire forest risk areas in the TAZEKKA park of MOROCCO: Geostatistical approach
Waste collection by compartmentalized vehicles in smart cities
Brain Tumor Semantic Segmentation Using Convolutional Neural Networks in 2D MRI Images
The Truncated M-Fractional Ordinary Differential Equations: Lie Symmetry Analysis
A Hybrid Machine Learning-Based Malware Detection Model
High efficacy of handling imbalanced data to predict bankruptcy
Objective weighting methods combined with TOPSIS and their effects on ranking nodes in social networks
Big Data: Concept and Security and Privacy Challenges
Big Data in Precision Agriculture: A comprehensive Review
Assessment in e-learning systems Feedback on the adoption of peer assessment for the correction of continuous control in algorithmic and programming
Exploring Big Data Analytics: Challenges and Infrastructures
LSTM Recurrent Neural Network for Daily Forecast of PM10 Concentrations in Tangier
Metadata modeling for data lakes based on dynamic ontologies
Optimal power flow using Machine Learning: A survey
Waste collection by compartmentalized vehicles in smart cities
Frontmatter
Contents
Automatic Filtering of LiDAR Building Point Cloud Using Multilayer Perceptron Neuron Network
The Profitable Gates Location on the Highway of the Dynamic Wireless Charging Transmitter for the Electric Vehicles
Metadata modeling for data lakes based on dynamic ontologies
A Novel hybrid model for the detection of drivers' drowsiness based on EEG signals and personalized extra-trees classification
Optimal power flow using Machine Learning: A survey
Cartography for the training of Deep Learning algorithms on fire forest risk areas in the TAZEKKA park of MOROCCO: Geostatistical approach
Waste collection by compartmentalized vehicles in smart cities
Brain Tumor Semantic Segmentation Using Convolutional Neural Networks in 2D MRI Images
The Truncated M-Fractional Ordinary Differential Equations: Lie Symmetry Analysis
A Hybrid Machine Learning-Based Malware Detection Model
High efficacy of handling imbalanced data to predict bankruptcy
Objective weighting methods combined with TOPSIS and their effects on ranking nodes in social networks
Big Data: Concept and Security and Privacy Challenges
Big Data in Precision Agriculture: A comprehensive Review
Assessment in e-learning systems Feedback on the adoption of peer assessment for the correction of continuous control in algorithmic and programming
Exploring Big Data Analytics: Challenges and Infrastructures
LSTM Recurrent Neural Network for Daily Forecast of PM10 Concentrations in Tangier
Metadata modeling for data lakes based on dynamic ontologies
Optimal power flow using Machine Learning: A survey
Waste collection by compartmentalized vehicles in smart cities
Editore:
Sciendo
Pubblicato:
ago 2023
Lingua:
Inglese
Pagine:
153
Diritto d'autore:
© 2022 Published by Sciendo
PDF
ISBN: 978-83-67405-23-2
Pubblicato:
ago 2023

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