Auflistung Nach Schlagwort "Convolutional neural networks"
Anzeige der Dokumente 1-20 von 35
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Affective analysis of patients in homecare video-assisted telemedicine using computational intelligence
(2020)The affective/emotional status of patients is strongly connected to the healing process and their health. Therefore, being aware of the psychological peaks and troughs of a patient provides the advantage of timely intervention ... -
Applying a Convolutional Neural Network in an IoT Robotic System for Plant Disease Diagnosis
(2020)Plant diseases are major threat to green product quality and agricultural productivity. Agronomists and farmers often encounter great difficulties in early detection of plant diseases and controlling their potential ... -
Assessing the effect of human factors in healthcare cyber security practice: An empirical study
(2021)The main goal of this research paper is to address the problem of SPECT myocardial perfusion imaging (MPI) diagnosis, exploring the capabilities of convolutional neural networks (CNN). Up to date, very few research studies ... -
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology
(2022)This study targets on the development of an explainable Convolutional Neural Network (CNN) pipeline in the form of a handcrafted CNN to identify patients' coronary artery disease status (normal, ischemia or infarction). ... -
Convolutional Variational Autoencoders for Image Clustering
(2021)The problem of data clustering is one of the most fundamental and well studied problems of unsupervised learning. Image clustering, refers to one of the most challenging specifications of clustering, concerning image data. ... -
Credit card fraud detection using a deep learning multistage model
(2022)The banking sector is on the eve of a serious transformation and the thrust behind it is artificial intelligence (AI). Novel AI applications have been already proposed to deal with challenges in the areas of credit scoring, ... -
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients
(2021)Bone scintigraphy is a popular method for the diagnosis of bone metastasis that typically occurs when cancer cells from the primary tumor relocate to the bone. In bone scintigraphy, the whole patient's body is scanned and ... -
Deep Learning Models for Yoga Pose Monitoring
(2022)Activity recognition is the process of continuously monitoring a person’s activity and movement. Human posture recognition can be utilized to assemble a self-guidance practice framework that permits individuals to accurately ... -
DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data
(2022)Background: The widespread usage of Cap Analysis of Gene Expression (CAGE) has led to numerous breakthroughs in understanding the transcription mechanisms. Recent evidence in the literature, however, suggests that CAGE ... -
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
(2020)Focusing on prostate cancer patients, this research paper addresses the problem of bone metastasis diagnosis, investigating the capabilities of convolutional neural networks (CNN) and transfer learning. Considering the ... -
Early Fusion of Visual Representations of Skeletal Data for Human Activity Recognition
(2022)In this work we present an approach for human activity recognition which is based on skeletal motion, i.e., the motion of skeletal joints in the 3D space. More specifically, we propose the use of 4 well-known image ... -
Endoscopic single-image size measurements
(2020)In the practice of clinical gastrointestinal endoscopy, precise estimation of the size of a lesion/finding, such as a polyp, is quintessential in diagnosis, e.g. risk estimation for malignancy. However, various studies ... -
ETH analysis and predictions utilizing deep learning
(2020)This paper attempts to provide a data analysis of cryptocurrency markets. Such markets have been developed rapidly and their volatility poses significant research challenges and justifies intensive behavior analysis. For ... -
Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos
(2020)In this paper, we investigate the benefit of 3D hand skeletal information to the task of sign language (SL) recognition from RGB videos, within a state-of-the-art, multiple-stream, deep-learning recognition system. As most ... -
A fully convolutional sequence learning approach for cued speech recognition from videos
(2021)Cued Speech constitutes a sign-based communication variant for the speech and hearing impaired, which involves visual information from lip movements combined with hand positional and gestural cues. In this paper, we consider ... -
Fuzzy Pooling
(2021)Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ... -
An image representation of skeletal data for action recognition using convolutional neural networks
(2019)In this paper we present preliminary results of an approach for understanding human actions, based on a novel 2D image representation for 3D skeletal data. More specifically, motion information for human skeletal joints ... -
An Image-Based Approach for Classification of Driving Behaviour Using CNNs
(2021)In this work we present an approach for the classification of driving behaviour using Convolutional Neural Networks (CNNs), based on measurements that have been obtained by the internal CAN-bus of the vehicle. As is the ... -
Look-behind fully convolutional neural network for computer-aided endoscopy
(2019)In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ... -
Multimodal fusion and sequence learning for cued speech recognition from videos
(2021)Cued Speech (CS) constitutes a non-vocal mode of communication that relies on lip movements in conjunction with hand positional and gestural cues, in order to disambiguate phonetic information and make it accessible to the ...