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Found 15 papers, 10 papers with code
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Overall, our analysis makes UMAP and similar embedding methods more interpretable, more robust, and more accurate.
Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
It establishes a relationship between soil salinity and soil resistivity from the data obtained in the laboratory using artificial neural network (ANN).
Outlier Detection in Large Radiological Datasets using UMAP
The success of machine learning algorithms heavily relies on the quality of samples and the accuracy of their corresponding labels.
Manifold-aligned Neighbor Embedding
In this paper, we introduce a neighbor embedding framework for manifold alignment.
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Most existing methods used in the hospitals for continuous monitoring of BP are invasive.
Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection
The proposed algorithm uses a single convolutional neural network to predict the probabilities of finger class and positions of fingertips in one forward propagation.
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
The accuracy, precision, sensitivity, f1-score, and specificity in the detection of COVID-19 with gamma correction on CXR images were 96. 29%, 96. 28%, 96. 29%, 96. 28% and 96. 27% respectively.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images
However, ROF cannot completely remove the heavy tail of the noise distribution originating from the IN and thus the denoising performance can be suboptimal.
SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation
In this paper, a fast algorithm for heart rate estimation based on modified SPEctral subtraction scheme utilizing Composite Motion Artifacts Reference generation (SPECMAR) is proposed using two-channel PPG and three-axis accelerometer signals.
CNN-Based Prediction of Frame-Level Shot Importance for Video Summarization
In the Internet, ubiquitous presence of redundant, unedited, raw videos has made video summarization an important problem.
Statistical Selection of CNN-Based Audiovisual Features for Instantaneous Estimation of Human Emotional States
Automatic prediction of continuous-level emotional state requires selection of suitable affective features to develop a regression system based on supervised machine learning.
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
One remarkable result of the cardiomegaly localization is that the heart and its surrounding region is most responsible for cardiomegaly detection, in contrast to the rule based models where the ratio of heart and lung area is used as the measure.
A Time-Frequency Domain Approach of Heart Rate Estimation From Photoplethysmographic (PPG) Signal
Significance- The proposed method offers very low estimation error and a smooth heart rate tracking with simple algorithmic approach and thus feasible for implementing in wearable devices to monitor heart rate for fitness and clinical purpose.
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