Computación en la nube
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Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to diagnose skin cancer has always been cumbersome. This manual examination of skin lesions in...
Deep learning approach for facial age classification: a survey of the state-of-the-art
Abstract Age estimation using face images is an exciting and challenging task. The traits from the face images are used to determine age, gender, ethnic background, and emotion of...
Deep semantic segmentation of natural and medical images: a review
Abstract The semantic image segmentation task consists of classifying each pixel of an image into an instance, where each instance corresponds to a class. This task is a part of the...
CovidSens: a vision on reliable social sensing for COVID-19
Abstract With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the...
Deep learning for biomedical image reconstruction: a survey
Abstract Medical imaging is an invaluable resource in medicine as it enables to peer inside the human body and provides scientists and physicians with a wealth of information...
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Abstract Medical imaging is a rich source of invaluable information necessary for clinical judgements. However, the analysis of those exams is not a trivial assignment. In recent...
Evolutionary computation for solving search-based data analytics problems
Abstract Automatic extracting of knowledge from massive data samples, i.e., big data analytics (BDA), has emerged as a vital task in almost all scientific research fields. The BDA...
On multi-resident activity recognition in ambient smart-homes
Abstract Increasing attention to the research on activity monitoring in smart homes has motivated the employment of ambient intelligence to reduce the deployment cost and solve the...
Citizen Science in Information Systems Research
The Energy Consumption of Blockchain Technology: Beyond Myth
Abstract When talking about blockchain technology in academia, business, and society, frequently generalizations are still heared about its – supposedly inherent – enormous...
The overlooked governance issues raised by facial recognition
/description>https://www.sciencedirect.com/science/article/pii/S0969476520300618?dgcid=rss_sd_allhttps://www.sciencedirect.com/science/article/pii/S0969476520300618CompanyPublication date: May 2020
Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration
Abstract Many AI systems have been developed for clinical diagnoses, in which most of them lack interpretability in both knowledge representation and inference results. The newly...
Control of macro-/microstructure and mechanical properties of a wire-arc additive manufactured aluminum alloy
Abstract Wire-arc additive manufacturing (WAAM) has received considerable attention in the past years due to advantages in terms of deposition rate, design freedom, and buy-to-fly...
Bayesian optimized deep convolutional network for bearing diagnosis
Abstract The successful diagnosis of the faulty signal in rolling element bearings relies on the accurate evaluation of the early fault present within the components of bearings....
Measuring hand-pouring motion in casting process using augmented reality marker tracking
Abstract Elucidations of workers’ pouring motions and the resultant inflow behavior of molten alloy into the mold are important because the inflow behavior is well known to affect...
Influence of heat treatment temperature on the microstructural, mechanical, and wear behavior of 316L stainless steel fabricated by laser powder bed additive manufacturing
Abstract A metal component fabricated by additive manufacturing (AM) is generally required to be heat treated to enhance microstructural and mechanical aspects. This present study...
Covering-based intuitionistic fuzzy rough sets and applications in multi-attribute decision-making
Abstract Covering based intuitionistic fuzzy (IF) rough set is a generalization of granular computing and covering based rough sets. By combining covering based rough sets, IF sets...
A GPU-based prediction and simulation method of grinding surface topography for belt grinding process
Abstract Rapid simulation of grinding surface topography at different machining conditions can assist users to determine appropriate grinding parameters. Most simulation methods...
A systematic review of gamification techniques applied to elderly care
Abstract The proportion of the world’s population growing older is rapidly increasing over the last decades. With the recent progresses seen in information and communication...
Influence of printing parameters on structures, mechanical properties and surface characterization of aluminium alloy manufactured using selective laser melting
Abstract The selective laser melting (SLM) technology, a 3D printing method, has been gaining more attraction recently due to its ability to fabricate highly complex and intricate...
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