GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
eLife

Prior cocaine use disrupts identification of hidden states by single units and neural ensembles in orbitofrontal cortex

This fundamental work shows that a history of cocaine self-administration disrupts the orbitofrontal cortex's ability to encode similarities between distinct sensory stimuli that possess identical ...
SciELO

Identifying olive oil fraud and adulteration using machine learning algorithms

As olive oil (OO) is more expensive than other vegetable oils, it is usually adulterated by blending it with more economic edible oils such as cottonseed oil (CSO), canola oil (CO), and soybean oil ...
GitHub

Euclidean and Mutual Reachability Minimum Spanning Trees

Euclidean Minimum Spanning Trees using single-, sesqui-, and dual-tree Borůvka algorithms, which are quite fast in spaces of low intrinsic dimensionality, minimum spanning trees with respect to mutual ...
LinkedIn

MATLAB and its applications in Data Science and Machine Learning

MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...
Nature

Classification of brain lesions using a machine learning approach with cross-sectional ADC value dynamics

Diffusion-weighted imaging (DWI) and its numerical expression via apparent diffusion coefficient (ADC) values are commonly utilized in non-invasive assessment of various brain pathologies. Although ...
Frontiers

Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs

In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and ...
The Lancet

A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

cDepartment of Respiratory Medicine, Charing Cross Hospital, Imperial College Healthcare Trust, Fulham Palace Road, London, W6 8RF, UK dDepartment of Respiratory Medicine, University College London ...
PNAS

EMBER multidimensional spectral microscopy enables quantitative determination of disease- and cell-specific amyloid strains

In neurodegenerative diseases, proteins fold into amyloid structures with distinct conformations (strains). There is a need to rapidly identify these amyloid conformations in situ. Here, we use ...
Frontiers

Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system

Brain-Computer Interface (BCI) technology enables users to operate external devices without physical movement. Electroencephalography (EEG) based BCI systems are being actively studied due to their ...
Scientific Research Publishing

Parameter Prediction of Stretch-Blow Molding Process of PET Using Neural Networks ()

This study presents a parameter selection strategy developed for the Stretch-Blow Molding (SBM) process to minimize the weight of preforms used. The method is based on a predictive model developed ...