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Processing of grid-based design representations: a qualitative analysis of concurrent think-aloud protocols
The squared paper or graphs are grid-based design representations used in engineering, industrial and craft design practices wherein designs are...
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Signal Processing Background
A signal carries information. In this chapter, we provide an overview of various signals and how the information of the signal is retained and used...
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A Headphone-Based Heart Rate and Heart Rate Variability Monitoring Unit
The Heart Rate (HR) is detected using the Reflectance Photoplethysmography (PPG) Technique, which is a non-invasive approach for measuring changes in...
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Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform
Nowadays, the demand for high-performance wireless sensor networks (WSN) is increasing, and its power requirement has threatened the survival of WSN....
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AutoNLP: A System for Automated Market Research Using Natural Language Processing and Flow-based Programming
This paper introduces a novel architecture for an automated market research system that utilizes the Flow-based Programming (FBP) paradigm. The...
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Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach
Speech production disorders during Parkinson’s Disease (PD) stand for one of the clinical markers which are representative of the evolution of motor...
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Indoor objects detection system implementation using multi-graphic processing units
Indoor objects detection and recognition plays an important role in computer science and artificial intelligence fields. This task plays also a...
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Analyzing journeys in sound: usability of graphical interpolators for sound design
Graphical interpolation systems provide a simple mechanism for the control of sound synthesis by providing a level of abstraction above the engine...
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A multi-phase scalable, communication reliable, and energy efficient MAC (SRE-MAC) protocol for WBAN
Spectrum Resource Efficient Medium Access Control (SRE-MAC) is proposed in this work to effectively and efficiently improve access to the...
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Ontology-Based Natural Language Processing for Process Compliance Management
Process compliance with relevant regulations and de-facto standards is a mandatory requirement for certifying critical systems. However, it is often...
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Facial action unit detection methodology with application in Brazilian sign language recognition
Sign Language is the linguistic system adopted by the Deaf to communicate. The lack of fully-fledged Automatic Sign Language (ASLR) technologies...
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Browser-Based Data Processing
Now that you understand the basics of web development, this chapter introduces two JavaScript (JS) libraries: p5.js and ml5.js. The chapter also...
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Graphical Flow-based Spark Programming
Increased sensing data in the context of the Internet of Things (IoT) necessitates data analytics. It is challenging to write applications for Big...
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Color Image Processing
Color images contain more information than black-and-white images (Koschan and Abidi 2008). Color images are gradually becoming the object of image...
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Accelerating RNN Controllers with Parallel Computing and Weight Dropout Techniques
Training recurrent neural network controllers in closed-loop control systems with combined Levenberg-Marquardt and Forward Accumulation Through Time...
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Graph Neural Networks in Natural Language Processing
Natural language processing (NLP) and understanding aim to read from unformatted text to accomplish different tasks. While word embeddings learned by...
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Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
Analysing and modelling interactive behaviour is an important topic in human-computer interaction (HCI) and a key requirement for the development of...
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Power Control, Monitoring, and Creation of Dedicated Graphical User Interfaces
The “SC” in the SCADA acronym stands for supervisory control, while the “DA” is for data acquisition. The purpose of the development of complete...
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Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model
Patient-specific hemodynamics assessment has the potential to support diagnosis and treatment of neurovascular diseases. Currently, conventional...
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Analysis of brain signal processing and real-time EEG signal enhancement
Cerebrum signals can be acquired and broken down with various techniques, as represented in the paper. Electroencephalogram (EEG) signals are damaged...
