C&EN

Evaluating Machine Learning Models for Molecular Property Prediction: Performance and Robustness on Out-of-Distribution Data

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...
Scientific Research Publishing

Huang, Y.D., Di, C.G. and Zhu, S.X. (2002) Matrix Theory and Its Application. University of Science and Technology of China Press.

ABSTRACT: For a simple undirected graph G, let A( G ) be the (0, 1) adjacency matrix of G. The Seidel matrix of G, is defined as S( G )=J−I−2A( G ) , where J is the all-one matrix and I is the ...
Scientific Research Publishing

The Seidel Eigenvalues Polynomial and Spectrum of the Petersen Graph ()

Department of Mathematics and Statistics, Qinghai Minzu University, Xining, China. Since then, much attention has been paid to this topic, but they mainly focus on undirected graphs and integral trees ...
BioSpace

Verasonics Announces Update to Vantage® NXT Research Ultrasound System: Acquisition SDK Programming Model, 3 MHz Matrix Array Transducer

“The Acquisition SDK is the next step in meeting the needs of our customers,” said Jon K. Daigle, President and Chief Executive Officer at Verasonics. “Our highly flexible sequence-based MATLAB ...
Frontiers

Coverage path planning for multi-AUV considering ocean currents and sonar performance

The Department of Marine Technology, Ocean University of China, Qingdao, China Coverage path planning (CPP) for target search by autonomous unmanned vehicle (AUV) involves two crucial aspects: (1) the ...
IEEE

A Temporal–Spatial Graph Network With a Learnable Adjacency Matrix for Appliance-Level Electricity Consumption Prediction

Abstract: Predicting the electricity consumption of individual appliances, known as appliance-level energy consumption (ALEC) prediction, is essential for effective energy management and conservation.
IEEE

A Temporal-Spatial Graph Network with a Learnable Adjacency Matrix for Appliance-level Electricity Consumption Prediction

Impact Statement: When utilizing graph neural networks, it is often the case that the weight relationships between nodes are not well understood. This is particularly true in the context of using ...
SciELO

GRAPH PROPERTIES OF MINIMIZATION OF OPEN STACKS PROBLEMS AND A NEW INTEGER PROGRAMMING MODEL

The Minimization of Open Stacks Problem (MOSP) is a Pattern Sequencing Problem that often arises in industry. Besides the MOSP, there are also other related Pattern Sequencing Problems of similar ...
Frontiers

Classification of epileptic seizures in EEG data based on iterative gated graph convolution network

1 College of Computer Science and Technology, University of Qingdao, Qingdao, China 2 Yunxiao Road Outpatient Department, Qingdao Stomatological Hospital, Qingdao, China Introduction: The automatic ...