Article
Computer Science, Information Systems
Rashika Raina, Rakesh Kumar Jha
Summary: This paper proposes a novel architecture for an Intelligent and Interactive Healthcare System that utilizes edge/fog/cloud computing techniques and speech recognition to address challenges in the healthcare sector. The Hidden Markov Model is applied for prediction purposes. The paper also discusses ongoing projects, future directions, and challenges.
Article
Chemistry, Analytical
Galya Georgieva-Tsaneva
Summary: The paper introduces an interactive cardiovascular system for improving healthcare. The system utilizes an Internet-based software platform to receive, process, and analyze cardio data. It enables the collection of biomedical data from remote locations through various cardiac signal recording methods. The recorded cardio information is transmitted for mathematical analysis and can be stored in online databases. The article presents algorithms for preprocessing and mathematical analysis of cardio data, as well as research results on healthy individuals and those with cardiovascular diseases. The system can be used for remote monitoring, treatment assistance, and medication adherence, aiming to enhance people's quality of life. The security of cardio information and confidentiality of user data are also addressed.
Article
History & Philosophy Of Science
Nick Brancazio
Summary: The study of active matter systems reveals how interactions contribute to the formation of agential dynamics. These systems consist of self-propelled entities that participate in complex collective behaviors at a non-equilibrium state. By using simple rules, the modeling of these systems demonstrates the interactive nature of collective behaviors across a wide range of entities. The study of active matter systems supports the idea of treating interaction as an ontological category and challenges the dominant explanatory concept of methodological individualism in agency research. Additionally, the methods employed in researching active matter systems showcase how minimal approaches to agency can be scaled up to study interactive agential dynamics in more complex systems.
Article
Immunology
Kaili Yang, Dan Li, Liyan Xu, Chenjiu Pang, Dongqing Zhao, Shengwei Ren
Summary: Eye rubbing and atopy are separately positively associated with KC, and the coexistence of eye rubbing and atopy has a significant impact on KC.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Software Engineering
Jiatian Sun, Longxiulin Deng, Triantafyllos Afouras, Andrew Owens, Abe Davis
Summary: This paper highlights that synchronization is one of the most difficult tasks in video editing, and most alignment work involves rare, salient events that can be localized in time. By learning how to recognize these events, the number of possible synchronization options for editors or algorithms can be significantly reduced. Moreover, by learning descriptors that capture additional properties of visible motion, active tools can be built to adapt their notion of eventfulness for different tasks.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Article
Computer Science, Artificial Intelligence
Firdous Kausar
Summary: Sensitive health-related information requires high levels of security and privacy, which can be achieved using biometrics and symmetric key encryption. An iris-based cancelable biometric cryptosystem is proposed for user authentication and healthcare data encryption, showing better performance compared to other schemes.
EGYPTIAN INFORMATICS JOURNAL
(2021)
Review
Computer Science, Interdisciplinary Applications
Angelo Corallo, Mariangela Lazoi, Marianna Lezzi, Angela Luperto
Summary: Cybersecurity awareness is crucial in the context of the Industrial Internet of Things (IIoT) to protect companies from cyber-attacks and data breaches. This study conducts a systematic literature review to analyze the existing state of the art in cybersecurity awareness, including definitions, industrial contexts, techniques, and benefits. The findings can be valuable for practitioners and researchers in future research and applications.
COMPUTERS IN INDUSTRY
(2022)
Article
Computer Science, Artificial Intelligence
Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David Lagnado, Francesca Toni
Summary: The research proposes a recommender system that is adaptable to users' needs, with a rich repertoire of explanations that support user interaction and adaptive feedback mechanisms.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Binh Tran, Chamika Sudusinghe, Su Nguyen, Damminda Alahakoon
Summary: This paper presents a context-aware evolutionary learning algorithm (CELA) for building interpretable prediction models. A new context extraction method based on unsupervised self-structuring learning algorithms is developed to deal with data in contexts. The proposed algorithm outperforms existing interpretable machine learning methods and produces predictions closer to blackbox algorithms such as XGBoost and artificial neural networks. Further analyses show that CELA's prediction models are smaller and easier to interpret compared to the evolutionary learning algorithm without context awareness.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Neyire Deniz Sarier
Summary: Privacy Preserving Biometric Authentication (PPBA) schemes are designed to provide anonymous authentication for patients using blockchain technology, ensuring data encryption and integrity in online authentication.
PERVASIVE AND MOBILE COMPUTING
(2022)
Article
Robotics
Xinyi Yu, Chengjun Xu, Xin Zhang, Linlin Ou
Summary: This study introduces a new context awareness multihuman-robot interaction system that enables multiple operators to interact with a robot. The system first develops a monocular multihuman 3D pose estimator using convolutional neural network, which accurately restores the 3D joints positions based on the 2D representations. The system also recognizes the identities of multiple persons and adjusts the weight parameters for different interactive requirements, demonstrating its feasibility and effectiveness.
Article
Computer Science, Artificial Intelligence
C. Lopez-Molina, S. Iglesias-Rey, B. De Baets
Summary: Quantitative image comparison is a critical topic in image processing literature, with diverse applications. Existing measures of comparison often overlook the context in which the comparison takes place. This paper presents a context-aware comparison method for binary images, tested on the BSDS500 benchmark.
INFORMATION FUSION
(2024)
Article
Computer Science, Software Engineering
Christoph Neuhauser, Junpeng Wang, Rudiger Westermann
Summary: In this work, an advanced GPU shader functionality is utilized to generate a focus+context rendering that highlights selected elements and conveys the global mesh structure and deformation field simultaneously. This method provides a gradual transition from edge-based focus rendering to volumetric context rendering, utilizing fragment shader-based techniques and per-pixel fragment lists. The user can guide the exploration process using a lens-like hotspot, and interactive frame rates are achieved even for large meshes thanks to GPU processing.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Education & Educational Research
Xiaona Xia
Summary: This study proposes a method to generate learning behavior big data using interactive learning environments and to recognize and predict the behavior using models and algorithms. The intervention optimization strategies based on the analysis results significantly improve students' learning interest and performance, as evidenced by two semesters of experimentation.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Education & Educational Research
Charlie L. L. Nagle, Pavel Trofimovich, Mary Grantham O'Brien, Sara Kennedy
Summary: This study examines the comprehensibility of L2 English speakers through self-assessment and external evaluation. The results show that self-assessment aligns with partner assessment, but is consistently lower compared to evaluations by external raters. This has implications for assessing comprehensibility and other listener-based constructs.
MODERN LANGUAGE JOURNAL
(2022)
