Výsledky vyhľadávania - "Frontiers in Computer Science"

Phishing Attacks: A Recent Comprehensive Study and a New Anatomy Autor Alkhalil, Zainab, Hewage, Chaminda, Nawaf, Liqaa, Khan, Imtiaz

“…With the significant growth of internet usage, people increasingly share their personal information online. As a result, an enormous amount of personal…”
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LABKIT: Labeling and Segmentation Toolkit for Big Image Data Autor Arzt, Matthias, Deschamps, Joran, Schmied, Christopher, Pietzsch, Tobias, Schmidt, Deborah, Tomancak, Pavel, Haase, Robert, Jug, Florian

“…We present LABKIT, a user-friendly Fiji plugin for the segmentation of microscopy image data. It offers easy to use manual and automated image segmentation…”
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Eye Movement and Pupil Measures: A Review Autor Mahanama, Bhanuka, Jayawardana, Yasith, Rengarajan, Sundararaman, Jayawardena, Gavindya, Chukoskie, Leanne, Snider, Joseph, Jayarathna, Sampath

“…Our subjective visual experiences involve complex interaction between our eyes, our brain, and the surrounding world. It gives us the sense of sight, color,…”
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Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance Autor Hoffman, Robert R., Mueller, Shane T., Klein, Gary, Litman, Jordan

“…If a user is presented an AI system that portends to explain how it works, how do we know whether the explanation works and the user has achieved a pragmatic…”
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A Comparative Analysis of Student Performance in an Online vs. Face-to-Face Environmental Science Course From 2009 to 2016 Autor Paul, Jasmine, Jefferson, Felicia

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Probabilistic Noise2Void: Unsupervised Content-Aware Denoising Autor Krull, Alexander, Vičar, Tomáš, Prakash, Mangal, Lalit, Manan, Jug, Florian

“…Today, Convolutional Neural Networks (CNNs) are the leading method for image denoising. They are traditionally trained on pairs of images, which are often hard…”
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What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI Autor Brauner, Philipp, Hick, Alexander, Philipsen, Ralf, Ziefle, Martina

“…IntroductionArtificial Intelligence (AI) has become ubiquitous in medicine, business, manufacturing and transportation, and is entering our personal lives…”
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Toward immersive communications in 6G Autor Shen, Xuemin (Sherman), Gao, Jie, Li, Mushu, Zhou, Conghao, Hu, Shisheng, He, Mingcheng, Zhuang, Weihua

“…The sixth generation (6G) networks are expected to enable immersive communications and bridge the physical and the virtual worlds. Integrating extended…”
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Product Quality Improvement Policies in Industry 4.0: Characteristics, Enabling Factors, Barriers, and Evolution Toward Zero Defect Manufacturing Autor Psarommatis, Foivos, Prouvost, Sylvain, May, Gökan, Kiritsis, Dimitris

“…In the competitive market of manufacturing, quality is a criterion of primary importance in order to win market share. Quality improvement must be coupled with…”
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FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics Autor Quan, Tran Minh, Hildebrand, David Grant Colburn, Jeong, Won-Ki

“…Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput,…”
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Control of Automated Guided Vehicles Without Collision by Quantum Annealer and Digital Devices Autor Ohzeki, Masayuki, Miki, Akira, Miyama, Masamichi J., Terabe, Masayoshi

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Exploring Deep Transfer Learning Techniques for Alzheimer's Dementia Detection Autor Zhu, Youxiang, Liang, Xiaohui, Batsis, John A., Roth, Robert M.

“…Examination of speech datasets for detecting dementia, collected via various speech tasks, has revealed links between speech and cognitive abilities. However,…”
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Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL), a Neuropsychological Test Battery in Immersive Virtual Reality Autor Kourtesis, Panagiotis, Korre, Danai, Collina, Simona, Doumas, Leonidas A. A., MacPherson, Sarah E.

“…Virtual reality (VR) head-mounted displays (HMD) appear to be effective research tools, which may address the problem of ecological validity in…”
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Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach Autor Ulicna, Kristina, Vallardi, Giulia, Charras, Guillaume, Lowe, Alan R.

“…Single-cell methods are beginning to reveal the intrinsic heterogeneity in cell populations, arising from the interplay of deterministic and stochastic…”
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Deep Learning-based Sentiment Analysis and Topic Modeling on Tourism During Covid-19 Pandemic Autor Mishra, Ram Krishn, Urolagin, Siddhaling, Jothi, J. Angel Arul, Neogi, Ashwin Sanjay, Nawaz, Nishad

“…The Covid-19 pandemic has disrupted the world economy and significantly influenced the tourism industry. Millions of people have shared their emotions, views,…”
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Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data Autor Schwartz, Steven M., Wildenhaus, Kevin, Bucher, Amy, Byrd, Brigid

“…The technology currently available for quantifying various biometric, behavioral, emotional, cognitive, and psychological aspects of daily life has become…”
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Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review Autor Wang, Liuping, Zhang, Zhan, Wang, Dakuo, Cao, Weidan, Zhou, Xiaomu, Zhang, Ping, Liu, Jianxing, Fan, Xiangmin, Tian, Feng

“…IntroductionArtificial intelligence (AI) technologies are increasingly applied to empower clinical decision support systems (CDSS), providing patient-specific…”
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A systematic review of deep learning applications for rice disease diagnosis: current trends and future directions Autor Seelwal, Pardeep, Dhiman, Poonam, Gulzar, Yonis, Kaur, Amandeep, Wadhwa, Shivani, Onn, Choo Wou

“…BackgroundThe occurrence of diseases in rice leaves presents a substantial challenge to farmers on a global scale, hence jeopardizing the food security of an…”
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EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images Autor Abdelrahman, Abubaker, Viriri, Serestina

“…IntroductionKidney tumors are common cancer in advanced age, and providing early detection is crucial. Medical imaging and deep learning methods are…”
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Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images Autor Elkholy, Mohamed, Marzouk, Marwa A.

“…Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on…”
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