Cargando…

Document-Image Related Visual Sensors and Machine Learning Techniques

Detalles Bibliográficos
Autores principales:	Kyamakya, Kyandoghere, Haj Mosa, Ahmad, Machot, Fadi Al, Chedjou, Jean Chamberlain
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Editorial
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434087/ https://www.ncbi.nlm.nih.gov/pubmed/34502743 http://dx.doi.org/10.3390/s21175849

Ejemplares similares

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
por: Kyamakya, Kyandoghere, et al.
Publicado: (2021)

Intelligent Transportation Related Complex Systems and Sensors
por: Kyamakya, Kyandoghere, et al.
Publicado: (2021)

Zero-Shot Human Activity Recognition Using Non-Visual Sensors
por: Al Machot, Fadi, et al.
Publicado: (2020)

A Globally Generalized Emotion Recognition System Involving Different Physiological Signals
por: Ali, Mouhannad, et al.
Publicado: (2018)

A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
por: Al Machot, Fadi, et al.
Publicado: (2019)

A Novel Recurrent Neural Network-Based Ultra-Fast, Robust, and Scalable Solver for Inverting a “Time-Varying Matrix”
por: Tavakkoli, Vahid, et al.
Publicado: (2019)

Contribution to Speeding-Up the Solving of Nonlinear Ordinary Differential Equations on Parallel/Multi-Core Platforms for Sensing Systems
por: Tavakkoli, Vahid, et al.
Publicado: (2020)

A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions
por: Mohsenzadegan, Kabeh, et al.
Publicado: (2021)

Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme
por: Kandasamy, Venkatachalam, et al.
Publicado: (2021)

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods
por: Oskarbski, Jacek, et al.
Publicado: (2020)

A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques
por: Paepae, Thulane, et al.
Publicado: (2022)

Selected topics in nonlinear dynamics and theoretical electrical engineering
por: Kyamakya, Kyandoghere, et al.
Publicado: (2013)

Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering
por: Kyamakya, Kyandoghere, et al.
Publicado: (2013)

A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy
por: Deeb, Ali, et al.
Publicado: (2023)

A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions
por: Mohsenzadegan, Kabeh, et al.
Publicado: (2022)

Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms
por: Aminosharieh Najafi, Taraneh, et al.
Publicado: (2022)

Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring
por: Paepae, Thulane, et al.
Publicado: (2023)

A Visual Sensing Concept for Robustly Classifying House Types through a Convolutional Neural Network Architecture Involving a Multi-Channel Features Extraction
por: Tavakkoli, Vahid, et al.
Publicado: (2020)

From Fully Physical to Virtual Sensing for Water Quality Assessment: A Comprehensive Review of the Relevant State-of-the-Art
por: Paepae, Thulane, et al.
Publicado: (2021)

HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning
por: Al Machot, Fadi, et al.
Publicado: (2022)

An IoT Machine Learning-Based Mobile Sensors Unit for Visually Impaired People
por: Dhou, Salam, et al.
Publicado: (2022)

Machine learning in document analysis and recognition
por: Marinai, Simone, et al.
Publicado: (2008)

Machine Learning Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study
por: Castelblanco, Alejandra, et al.
Publicado: (2020)

A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans in Bed
por: Kyamakya, Kyandoghere, et al.
Publicado: (2022)

Detecting Falls with Wearable Sensors Using Machine Learning Techniques
por: Özdemir, Ahmet Turan, et al.
Publicado: (2014)

A Novel Zernike Moment-Based Real-Time Head Pose and Gaze Estimation Framework for Accuracy-Sensitive Applications
por: Vankayalapati, Hima Deepthi, et al.
Publicado: (2022)

Predictive keywords: Using machine learning to explain document characteristics
por: Kyröläinen, Aki-Juhani, et al.
Publicado: (2023)

Visual Perceptual Quality Assessment Based on Blind Machine Learning Techniques
por: Takam Tchendjou, Ghislain, et al.
Publicado: (2021)

Maclink Document Technique.
por: Potdevin, L., et al.
Publicado: (1988)

Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques
por: McVey, Catherine, et al.
Publicado: (2020)

Machine Learning Techniques for Increasing Efficiency of the Robot’s Sensor and Control Information Processing †
por: Kondratenko, Yuriy, et al.
Publicado: (2022)

On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection
por: Tsinganos, Panagiotis, et al.
Publicado: (2018)

Assisting document triage for human kinome curation via machine learning
por: Hsu, Yi-Yu, et al.
Publicado: (2018)

"What is relevant in a text document?": An interpretable machine learning approach
por: Arras, Leila, et al.
Publicado: (2017)

Hybrid imaging and visualization: employing machine learning with Mathematica - Python
por: Awange, Joseph, et al.
Publicado: (2020)

Documentation concernant la machine
por: Germain, P
Publicado: (1960)

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
por: Shaukat, Zain, et al.
Publicado: (2023)

Machine Learning Techniques for THz Imaging and Time-Domain Spectroscopy
por: Park, Hochong, et al.
Publicado: (2021)

Interpretation and Visualization Techniques for Deep Learning Models in Medical Imaging
por: Huff, Daniel T., et al.
Publicado: (2021)

Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
por: Carrera, Berny, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_t8gj1eamlg6iiruipau0fqh8a1