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Statistical Field Theory for Neural Networks

Introduction to complex variables and applications

A primer on Fourier analysis for the geosciences

Piecewise Affine Control : Continuous-Time, Sampled-Data, and Networked Systems

Introduction to Semi-Supervised Learning

An introduction to modeling neuronal dynamics

Unsupervised Learning in Space and Time : A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks

Linear and nonlinear optimization

Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments

Emotion and Information Processing : A Practical approach

Measuring Professional Competence for the Teaching of Mathematical Modelling : A Test Instrument

Hierarchical modeling of energy systems

Bayesian Item Response Modeling : Theory and Applications

Probability models

Classical and Quantum Dynamics : From Classical Paths to Path Integrals

Linear integral equations : theory & technique

Multiscale modeling and simulation in science

The Multiple Facets of Partial Least Squares and Related Methods : PLS, Paris, France, 2014

Computational design of rolling bearings

Analysis and Simulation of Contact Problems

Cellular automata : analysis and applications

Bayesian mediation analysis using R

Recent advances in green technologies and sustainable development

Statistical Modeling and Applications on Real-Time Problems : Unraveling Insights through Advanced Analytical Techniques

Statistical Modeling and Applications on Real-Time Problems : Enhancing Understanding and Practical Implementation

Geometric mechanicsPart I,: Dynamics and symmetry

How round is your circle? : where engineering and mathematics meet

Fundamentals of weather and climate

Chaotic Dynamics of Fractional Discrete Time Systems

Statistical Modeling in Clinical Trials

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