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Chapter and Conference Paper
Data Anonymization: Techniques and Models
Data growth is exponential and nearly immeasurable. We used to talk about megabytes when we spoke about data, but now we talk about petabytes with BigData. This data growth makes sensitive data and identifiers...
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Chapter and Conference Paper
Performance Evaluation Between HarperDB, Mongo DB and PostgreSQL
Several modern-day problems, like information overload and big data, need to deal with large amounts of data. As such, to meet the application requirements, for instance, performance and consistency, more and ...
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Article
Open AccessAn interdisciplinary journey towards an aesthetics of sonification experience
The aesthetic dimension has been proposed as a potential expansion of sonification design, creating listening pieces that reach the goal of effective data communication. However, current views of aesthetics st...
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Article
Open AccessContinuous user identification in distance learning: a recent technology perspective
The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially ...
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Article
EnzymeML: seamless data flow and modeling of enzymatic data
The design of biocatalytic reaction systems is highly complex owing to the dependency of the estimated kinetic parameters on the enzyme, the reaction conditions, and the modeling method. Consequently, reproduc...
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Chapter and Conference Paper
Comparison of Semi-structured Data on MSSQL and PostgreSQL
The present study intends to compare the performance of two Data Base Management Systems, specifically Microsoft SQL Server and PostgreSQL, focusing on data insertion, queries execution and indexation. To simu...
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Chapter and Conference Paper
An IoT-Based Framework for Monitoring Photovoltaic Batteries
The need for a more sustainable world is increasing the number of installations of photovoltaic systems including batteries as a way to postpone energy consumption when it is most needed. However, the chemical...
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Chapter and Conference Paper
Elastic Properties of Normal Breast Tissues Using an Indentation Protocol - Preliminary Study
The mechanical properties of breast tissues are important for medical diagnose since the stiffness changes with a pathology. The mechanical behavior of breast tissues has been investigated, however the results...
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Chapter and Conference Paper
Comparing Machine Learning vs. Humans for Dietary Assessment
Due to the availability of large-scale datasets (e.g., ImageNet, UECFood) and the advancement of deep Convolutional Neural Networks (CNN), computer vision image recognition has evolved dramatically. Currently,...
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Chapter and Conference Paper
A Scalable Framework to Predict Bitcoin Price Using Support Vector Machine
Stock analysts have been predicting other stocks prices in financial markets by understanding their patterns. Bitcoin is an example of cryptocurrency that has grow enormously since 2020 despite being in the ma...
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Chapter and Conference Paper
Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles
This paper proposes a solution to integrate weather and orography information with existing trip planning systems, to provide more accurate travel time estimates and reduce delays caused by adverse conditions....
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Chapter and Conference Paper
A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data
Currently, collecting waste containers in Cities is an under-optimized activity, wherein drivers just follow a schedule and route plans, regardless of the filling level of containers and if they are empty or f...
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Chapter and Conference Paper
An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces
Kee** civil construction workers safe is an important challenge due to working conditions and low technological support due to the inherent costs. This work surveys the literature and proposes a scalable fra...
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Chapter and Conference Paper
Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens
As processes become increasingly complex within companies, limitations in employees’ abilities and skills can reduce their work potential. To address this, traditional learning processes have shifted towards t...
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Chapter and Conference Paper
Comparison of Image Processing and Classification Methods for a Better Diet Decision-Making
This paper aims to explore the use of different deep learning techniques, specifically convolutional neural networks (CNNs), for dietary assessment through image food recognition and compare their performance ...
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Chapter and Conference Paper
Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare
This article assesses the effectiveness of various machine learning algorithms in decision support systems within the healthcare sector. The focus lies on predicting the diagnosis of type II diabetes using mul...
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Chapter and Conference Paper
Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware
In this scientific paper, we present a novel approach to develop energy-efficient Deep Learning models for distributed AIoT applications. Our approach considers the optimization of algorithms, while also addre...
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Chapter and Conference Paper
Evolving Urban Landscapes
The depiction of a city’s facade can have various purposes, from purely decorative use to documentation for future restoration. This representation is often a manual and time-consuming process. This paper desc...
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Chapter and Conference Paper
EMG Signals as a Way to Control Soft Actuators
Physical impairments have multiple causes, making them common. Locomotion disorders have been afflicting society for a long time, motivating researchers and engineers to mitigate their consequences. Nowadays, ...
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Chapter and Conference Paper
Database Performance on Android Devices, A Comparative Analysis
The number of mobile devices operating worldwide has reached almost 15 billion, and Android has become the most popular operating system. Consequently, massive amounts of user data need to be collected and pro...
