Results 121 to 130 of about 5,886,092 (269)
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning [PDF]
Brain network analysis plays an increasingly important role in studying brain function and the exploring of disease mechanisms. However, existing brain network construction tools have some limitations, including dependency on empirical users, weak consistency in repeated experiments and time-consuming processes.
arxiv
Brain Blocher in a Senior Trombone Recital [PDF]
This is the program for the senior trombone recital of Brain Blocher. Mr. Blocher was accompanied on the piano by Glenda Aldridge.
Blocher, Brain
core +1 more source
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks [PDF]
Identifying unusual brain activity is a crucial task in neuroscience research, as it aids in the early detection of brain disorders. It is common to represent brain networks as graphs, and researchers have developed various graph-based machine learning methods for analyzing them. However, the majority of existing graph learning tools for the brain face
arxiv
Classification of Mushroom Edibility Using K-Nearest Neighbors: A Machine Learning Approach
This study investigates the use of the K-Nearest Neighbors (KNN) algorithm for the binary classification of mushroom edibility using a cleaned version of the UCI Mushroom Dataset. The dataset underwent pre-processing techniques such as modal imputation,
Fadhila Tangguh Admojo+3 more
doaj +1 more source
THE BRAIN AND THE SYMPTOMATOLOGY OF THE ANOXIAS [PDF]
Harold E. Himwich
openalex +1 more source
Plant-powered power plant [PDF]
The MU Power Plant turns to energy crops to shrink its carbon footprint.Story by Brian Wallstin ; photo by Nicholas ...
Wallstin, Brain
core
Personality prediction is a significant field in psychological measurement, yet it faces challenges due to psychological data's ambiguous and uncertain nature. This study aims to develop a Sugeno-based fuzzy logic system for predicting personality types
Nadindra Dwi Ariyanta+1 more
doaj +1 more source
The Wisdom of a Crowd of Brains: A Universal Brain Encoder [PDF]
Image-to-fMRI encoding is important for both neuroscience research and practical applications. However, such "Brain-Encoders" have been typically trained per-subject and per fMRI-dataset, thus restricted to very limited training data. In this paper we propose a Universal Brain-Encoder, which can be trained jointly on data from many different subjects ...
arxiv