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Oriol Borrás-Gené, Raquel Montes Díez and Almudena Macías-Guillén
Teachers often need to adapt their teaching methodologies in order to overcome possible limitations and ensure that education does not lose quality in the face of different scenarios that may arise in the educational environment, which are not always the...
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Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
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Marco Buzzelli, Alessio Albé and Gianluigi Ciocca
Assisted living technologies can be of great importance for taking care of elderly people and helping them to live independently. In this work, we propose a monitoring system designed to be as unobtrusive as possible, by exploiting computer vision techni...
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Hwan Ing Hee, BT Balamurali, Arivazhagan Karunakaran, Dorien Herremans, Onn Hoe Teoh, Khai Pin Lee, Sung Shin Teng, Simon Lui and Jer Ming Chen
(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to develop a machine-learning based cough sound classifier for asthmatic and healthy children. (2) Methods: Children less than 16 years old were randomly recruited in a Child...
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Athanasios Drigas,Pantelis Angelidakis
Pág. pp. 17 - 29
M-learning has the potential to take education out of classroom boundaries. Based on the device used, any student/learner can access a vast area of content. Varying from podcasts to videos, participate in virtual lessons or just ask a mentor over the net...
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Nirmalya Thakur and Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes th...
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Nirmalya Thakur and Chia Y. Han
This paper presents a multifunctional interdisciplinary framework that makes four scientific contributions towards the development of personalized ambient assisted living (AAL), with a specific focus to address the different and dynamic needs of the dive...
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Jenny Vlachou,Athanasios Drigas
Pág. pp. 4 - 17
This study evaluates the use and efficacy of mobile technology in assessment and intervention of children and adults with autism spectrum disorders (ASD). Learning and behavioral data for assessment can be captured and interpreted through mobile technolo...
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Iza Sazanita Isa, Umi Kalsom Yusof and Murizah Mohd Zain
The development of intelligence-based methods and application systems has expanded for the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on assisted reproductive technology (ART) have been discovered, including o...
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Javed Rashid, Maryam Ishfaq, Ghulam Ali, Muhammad R. Saeed, Mubasher Hussain, Tamim Alkhalifah, Fahad Alturise and Noor Samand
Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when the malignancy is not treated at an initial stage. The patients? lives can be saved by accurately detecting skin cancer at an initial stage. A quick and precise...
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Stephen Draper
Most analyses of how humans use artifacts, and interactive software in particular, have a strong tendency to assign 1:1 correspondences between goals and methods: to see software as supporting one task, users as having one way of executing a task, one th...
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Allah Bux Sargano, Plamen Angelov and Zulfiqar Habib
Human activity recognition (HAR) is an important research area in the fields of human perception and computer vision due to its wide range of applications. These applications include: intelligent video surveillance, ambient assisted living, human compute...
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Hassan El-khatib, Ana-Maria ?tefan and Dan Popescu
The incidence of melanoma cases continues to rise, underscoring the critical need for early detection and treatment. Recent studies highlight the significance of deep learning in melanoma detection, leading to improved accuracy. The field of computer-ass...
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Nafisa Anjum, Khaleda Akhter Sathi, Md. Azad Hossain and M. Ali Akber Dewan
By using computer-aided arrhythmia diagnosis tools, electrocardiogram (ECG) signal plays a vital role in lowering the fatality rate associated with cardiovascular diseases (CVDs) and providing information about the patient?s cardiac health to the special...
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Nicola Altini, Giuseppe De Giosa, Nicola Fragasso, Claudia Coscia, Elena Sibilano, Berardino Prencipe, Sardar Mehboob Hussain, Antonio Brunetti, Domenico Buongiorno, Andrea Guerriero, Ilaria Sabina Tatò, Gioacchino Brunetti, Vito Triggiani and Vitoantonio Bevilacqua
The accurate segmentation and identification of vertebrae presents the foundations for spine analysis including fractures, malfunctions and other visual insights. The large-scale vertebrae segmentation challenge (VerSe), organized as a competition at the...
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Anton Oleinik
Pág. 36 - 49
When working with big data in science (research databanks, literature reviews) and everyday life (news aggregators), there is a need for mining, classifying and storing information. Information is defined as data in a processed form. The methodology of c...
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Stavros A. Nikou,Anastasios A. Economides
Pág. pp. 11 - 17
Mobile-devices are able to support a wide range of outdoor assessment activities. While there is a significant amount of research that investigates the acceptance of computer-based assessment from one side and the acceptance of mobile learning from the o...
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Md Easin Hasan and Amy Wagler
Neuroimaging experts in biotech industries can benefit from using cutting-edge artificial intelligence techniques for Alzheimer?s disease (AD)- and dementia-stage prediction, even though it is difficult to anticipate the precise stage of dementia and AD....
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Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey Niezgoda and Zeyun Yu
Wound care professionals provide proper diagnosis and treatment with heavy reliance on images and image documentation. Segmentation of wound boundaries in images is a key component of the care and diagnosis protocol since it is important to estimate the ...
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Vítor Filipe, Pedro Teixeira and Ana Teixeira
Diabetic foot is one of the main complications observed in diabetic patients; it is associated with the development of foot ulcers and can lead to amputation. In order to diagnose these complications, specialists have to analyze several factors. To aid t...
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