Beyond supervised learning for pervasive healthcare
The integration of machine/deep learning and sensing technologies is transforming
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
Location-Aware Encoding for Lesion Detection in Ga-DOTATATE Positron Emission Tomography Images
Objective: Lesion detection with positron emission tomography (PET) imaging is critical for
tumor staging, treatment planning, and advancing novel therapies to improve patient …
tumor staging, treatment planning, and advancing novel therapies to improve patient …
Online semi-supervised learning for motor imagery EEG classification
L Zhang, C Li, R Zhang, Q Sun - Computers in Biology and Medicine, 2023 - Elsevier
Objective Time-consuming data labeling in brain-computer interfaces (BCIs) raises many
problems such as mental fatigue and is one key factor that hinders the real-world adoption of …
problems such as mental fatigue and is one key factor that hinders the real-world adoption of …
Smart computing in brain-computer interface and neuroscientific research: opportunities, methods, and challenges
H Velingkar, RR Kulkarni, PP Patavardhan - … Computing Techniques in …, 2025 - Elsevier
Abstract Brain-machine interfacing (BMI), also known as brain-computer interfacing (BCI), is
an innovative field of technology with a primary objective to establish a connection and …
an innovative field of technology with a primary objective to establish a connection and …
Моделі та методи інформаційної технології розпізнавання системою керування протезом кінцівки руки електроміографічних біосигналів
ВЮ П'ятаченко - 2023 - essuir.sumdu.edu.ua
Дисертаційна робота присвячена підвищенню точності виконання протезом кінцівки
руки когітивних команд шляхом створення інформаційної технології машинного …
руки когітивних команд шляхом створення інформаційної технології машинного …