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Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

optimal reservoir operation and cloud application platform. All source codes are available for public use and can be used by researchers and;

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Nested Algorithms for Optimal Reservoir Operation and Their Embedding in a Decision Support Platform

optimal reservoir operation and cloud application platform. All source codes are available for public use and can be used by researchers and;

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Adaptive Multi-reservoir-based Flood Control and Management for the Yellow River

decision support within precious lead time. Also, a special robust routing technique was needed as developed in this thesis for accurate and robust;

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Cyberphysical Smart Cities Infrastructures

Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new;

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Multiparametric Optimization and Control

is an integrated framework and platform for the optimization and advanced model-based control of process systems. Uses case studies to;

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Water Resource Systems Management Tools

In-depth coverage of the powerful tools available to predict and manage water resource systemsManagement tools include decision support;

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Reservoir Sediment Management

. With the help of the RESCON open source software, cost analysis tools to determine the optimum method for maintenance and operation of a;

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Reservoir Sediment Management

. With the help of the RESCON open source software, cost analysis tools to determine the optimum method for maintenance and operation of a;

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Elements of the General Theory of Optimal Algorithms

In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to;

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Optimization, Learning, and Control for Interdependent Complex Networks

This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal;

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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal;

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Optimal Design of Queueing Systems

on models for the optimal design and control of queues and networks of queues, this book frames the issues in the general setting of a;

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Markov Decision Processes

of solutions or their properties. Coverage includes optimal equations, algorithms and their characteristics, probability distributions, modern;

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The Verification of MDG Algorithms in the HOL Theorem Prover

(MDGs). We formalize the basic MDG operations within HOL following a deep embedding approach. Then, we derive the correctness proof for each MDG;

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Dynamic Programming Based Operation of Reservoirs

for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water;

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Dynamic Programming Based Operation of Reservoirs

for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water;

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Advances in Fuzzy Decision Making

of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for;

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Eco-hydraulic Modelling of Eutrophication for Reservoir Management

This study presents an systematic approach to water quality assessment, hybrid modelling and decision support for eutrophication management;

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Biologically Inspired Techniques in Many-Criteria Decision Making

This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria;

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Biologically Inspired Techniques in Many-Criteria Decision Making

techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM;

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Artificial Intelligence and Deep Learning in Pathology

mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning;

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Parallel Finite Volume Computation on General Meshes

This book presents a systematic methodology for the development of parallel multi-physics models and its implementation in geophysical and;

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Parallel Finite Volume Computation on General Meshes

This book presents a systematic methodology for the development of parallel multi-physics models and its implementation in geophysical and;

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Algorithms for Decision Making

and the algorithms for solving them.Automated decision-making systems or decision-support systems—used in applications that;

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