Search
Search Results
-
Chronicles: Formalization of a Temporal Model
This book is intended as an introduction to a versatile model for temporal data. It exhibits an original lattice structure on the space of chronicles...
-
Introduction: The Overall Model
With this chapter, we start with Part III of the book, which is about knowledge modeling, particularly in the form of knowledge graphs. We introduce...
-
Logic Model Processing
Model Driven Engineering (MDE) refers to the use of software models to represent System or Software conceptual, logical, or physical abstractions,...
-
Business Model Design
The development and validation of a (more or less) detailed business model is usually the first step in the journey towards develo** a new smart,...
-
Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity
Feature importance techniques offer valuable insights into machine learning (ML) models by conducting quantitative assessments of the individual...
-
Data and Query Model
In this chapter, we review some of the key concepts in databases to help readers better understand the later parts of this book. We begin the chapter...
-
Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set
In recent years, academics have placed a high value on multi-modal emotion identification, as well as extensive research has been conducted in the...
-
Configurable Model-Based Test Generation for Distributed Controllers Using Declarative Model Queries and Model Checkers
Distributed programmable controllers are getting prevalence in critical infrastructure, among others, in railway interlocking systems (RIS)....
-
Evaluation Criteria and Model Selection
This chapter demonstrates the tools to evaluate and select appropriate models for machine learning applications. This chapter begins with theoretical...
-
Model Evaluation and Selection
Estimating the performance of a constructed predictive model, also known as model evaluation, is of essential importance in machine learning. This is...
-
Model Construction for Modal Clauses
We present deterministic model construction algorithms for sets of modal clauses saturated with respect to three refinements of the modal-layered...
-
Model-based and model-free deep features fusion for high performed human gait recognition
In the last decade, the need for a non-contact biometric model for recognizing candidates has increased, especially after the pandemic of COVID-19...
-
The Computational Model
This chapter introduces Affinity, a computational agent-based simulation model implemented in Java, that simulates a community of agents that hold...
-
Integrated Patient Care Optimization Model: A Novel Model to Enhancing Medical Alliance Efficiency
The traditional hierarchical medical system often ignores the linkage among primary medical institutions, and there are still problems such as low...
-
Model-Based Approaches to the Internet of Things
This book gives an overview of existing models that cover the whole lifecycle of an IoT application, ranging from its design, implementation,...
-
MVVM: Model–View–ViewModel
Model-View-ViewModel (MVVM) is a design pattern popular in iOS development. The Model represents the iOS app's data and business logic, the View is...
-
Energy Efficient Mathematical Model for Cyber-Physical Systems: A Model for Industrial Internet of Things
Proliferated usage of computer devices, smart objects, and electronics significantly impacts the atmosphere, which is inevitable. The existing...
-
Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet...
-
Model-Efficient TTS
Text-to-speech synthesis systems are usually deployed in different environments such as cloud-edge-end devices, which require fast synthesis speed,...
-
Multiple Model Estimation for Nonlinear Classification
This chapter describes a new method for nonlinear classification using a collection of several simple (linear) classifiers. The approach is based on...