Prediction value with a novel and accurate tissue‐based human papillomavirus detection method in low‐grade squamous intraepithelial lesions
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4634
Abstract: The progression rate from CIN1 to CIN3 is 9.0% and that for invasive cancer is 1.0%. The large majority of CIN1 lesions regress spontaneously, and the treatment of CIN1 is still controversial. read more here.
Keywords: value novel; tissue based; accurate tissue; prediction value ... See more keywords
Towards an organizational model based on the human being seen as an allopoietic gray box information processor
Sign Up to like & getrecommendations! Published in 2023 at "Kybernetes"
DOI: 10.1108/k-11-2022-1566
Abstract: PurposeThe paper aims to contribute conceptually to the conversation about organizational models and to the future development of an organizational diagnostic method, based on the human being seen as an allopoietic information processing gray box.Design/methodology/approachMethodologically,… read more here.
Keywords: organizational model; information; gray box; box ... See more keywords
Trucker Behavior Security Surveillance Based on Human Parsing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930403
Abstract: With the increase of roads and vehicles, the number of traffic accidents has gradually increased, and one of the important reasons is the driver’s unsafe driving behavior. Some existing methods rely on the method of… read more here.
Keywords: human parsing; behavior security; security surveillance; based human ... See more keywords
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222221
Abstract: Sensor-based human activity recognition (HAR) is a paramount technology in the Internet of Things services. HAR using representation learning, which automatically learns a feature representation from raw data, is the mainstream method because it is… read more here.
Keywords: human activity; deep ensemble; ensemble learning; sensor based ... See more keywords
Subpixel rendering for the pentile display based on the human visual system
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2017.015103
Abstract: Recently, with the increased demand for low-power displays regarding portable devices, the RGBG PenTile display is popularly utilized. However, unlike the traditional RGB-stripe display with its three color channels, each pixel of the RGBG PenTile… read more here.
Keywords: color; based human; subpixel rendering; display ... See more keywords
IS-WARS: Intelligent and Stealthy Adversarial Attack to Wi-Fi-Based Human Activity Recognition Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3110480
Abstract: The non-intrusive human activity recognition has been envisioned as a key enabler for many emerging applications requiring interactions between humans and computing systems. To accurately recognize different human behaviors, ubiquitous wireless signals are widely adopted,… read more here.
Keywords: recognition; human activity; adversarial attack; based human ... See more keywords
Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3102735
Abstract: Recently, the state-of-the-art performance in various sensor-based human activity recognition (HAR) tasks has been acquired by deep learning, which can extract automatically features from raw data. In standard convolutional neural networks (CNNs), there is usually… read more here.
Keywords: human activity; selective kernel; based human; har ... See more keywords
Skeleton-Based Human Motion Prediction With Privileged Supervision.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3166861
Abstract: Existing supervised methods have achieved impressive performance in forecasting skeleton-based human motion. However, they often rely on action class labels in both training and inference phases. In practice, it could be a burden to request… read more here.
Keywords: action class; based human; human motion; skeleton based ... See more keywords
Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2019.2937929
Abstract: Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous control with multiple degrees of freedom. Emerging methods range from data-driven approaches to biomechanical model-based methods. However, there has been no direct comparison between these two types… read more here.
Keywords: emg signals; based human; emg based; emg ... See more keywords
Should surveillance guidelines be different based on Human Papilloma Virus (HPV) status? Patterns of failure and second primary cancers (SPM) in patients (pts) with oropharyngeal squamous cell cancer (OPSCC).
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2018.36.15_suppl.e18059
Abstract: e18059Background: HPV pos OPSCC is clinically and biologically distinct from tobacco/alcohol-related cancer. HPV-positive (pos) tumors have favorable prognosis and respond better to treatment. Stud... read more here.
Keywords: based human; surveillance guidelines; different based; guidelines different ... See more keywords
Chatting with chatbots: Sign making in text-based human–computer interaction
Sign Up to like & getrecommendations! Published in 2020 at "Sign Systems Studies"
DOI: 10.12697/sss.2020.48.1.05
Abstract: This paper investigates the kind of sign making that goes on in text-based human–computer interaction, between human users and chatbots, from the point of view of integrational linguistics. A chatbot serves as a “conversational” user… read more here.
Keywords: based human; sign making; text based; interaction ... See more keywords