News

Data-driven method reveals how (un)predictable complex systems can be
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...
Visual Studio Magazine1d
Linear Support Vector Regression Using C# with Particle Swarm Training
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
pv magazine International3d
Hybrid deep learning model for PV forecasting in scenarios with considerable fluctuations
Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...
IEEE12d
Linear System Identification Versus Physical Modeling of Lateral–Longitudinal Vehicle Dynamics
The data set contains several cornering maneuvers, acceleration, and deceleration stages and was collected over public roads. Linear and nonlinear physical models were identified through nonlinear ...
earth15d
NASA uses gravity data to look inside planetary structures without having to land on them
“We found that the Moon’s near side is flexing more than the far side, meaning there’s something fundamentally different about the internal structure of the Moon’s near side compared to its far side,” ...
ischool.berkeley.edu17d
Introduction to Data Structures and Analytics
The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS ...
C&EN19d
Synthesis and Structure−Activity Relationships of Linear and Conformationally Constrained Peptide Analogues of CIYKYY as Src Tyrosine Kinase Inhibitors
Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island 02881, and Department of Cell and Molecular Biology, University of Rhode Island, Kingston, ...
IEEE27d
Data-Driven Attack Detection and Resilient Control for Heterogeneous Nonlinear Nonaffine MASs
The heterogeneous nonlinear nonaffine MASs are firstly translated to an equivalent linear data model by using the dynamic linearization method. Then, based on the obtained linear data model, a novel ...
C&EN29d
In Silico Prediction of Volume of Distribution in Human Using Linear and Nonlinear Models on a 669 Compound Data Set
‡ Computational Chemistry Group, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts 02139 § Metabolism and Pharmacokinetics Group, Novartis Institutes for Biomedical Research, 250 ...