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Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

prohibitive Markov chain Monte Carlo methods for resource-constrained mobile sensors. Bayesian Prediction and Adaptive Sampling Algorithms for Mobile;

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource;

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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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Algorithms for Sensor Systems

This book constitutes revised selected papers from the 14th International Symposium on Algorithms and Experiments for Wireless Sensor;

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Algorithms for Sensor Systems

This book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor;

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Wireless Networks

Applications Sensor Networks and Applications Mobile Computing + Mobile Agents + Ad-Hoc Networks + Manet Novel Communication Systems + Algorithms;

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Wireless Networks

Applications Sensor Networks and Applications Mobile Computing + Mobile Agents + Ad-Hoc Networks + Manet Novel Communication Systems + Algorithms;

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Decentralized Coverage Control Problems

This book introduces various coverage control problems for mobile sensor networks including barrier, sweep and blanket. Unlike many;

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Mobile Ad Hoc Networks

sensor networks, wireless mesh network architecture and protocols, adaptive routing provision using Bayesian inference, and adaptive flow control;

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Algorithms for Sensor Systems

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Workshop on Algorithms for Sensor;

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;

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Evolutionary Algorithms For Mobile Ad Hoc Networks

Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers;

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Algorithms for Sensor Systems

This book constitutes revised selected papers from the 12th International Symposium on Algorithms and Experiments for Wireless Sensor;

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Multihop Mobile Wireless Networks

Multihop Cellular Networks, Multihop Sensor Networks and Multihop Cellular Sensor Networks are fast-emerging, utilitarian multihop mobile;

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Wireless Algorithms, Systems, and Applications

applications, blockchain solutions for mobile applications, mobile edge computing, wireless sensor networks, distributed and localized algorithm design;

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Handbook of Algorithms for Wireless Networking and Mobile Computing

environment is either not included or is only briefly discussed. Handbook of Algorithms for Wireless Networking and Mobile Computing focuses on;

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Machine Learning for Networking

learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new;

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Probability and Bayesian Modeling

prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced;

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Machine Learning for Networking

learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;

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Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks

Learn the fundamental algorithms and protocols for wireless and mobile ad hoc networks Advances in wireless networking and mobile;

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Bayesian Analysis in Natural Language Processing

statistical learning is done without target prediction examples. In this book, we cover the methods and algorithms that are needed to fluently read;

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Mission Oriented Sensor Networks and Systems Art and Science

This book discusses topics in mission-oriented sensor networks and systems research and practice, enabling readers to understand the major;

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SelfOrganization in Sensor and Actor Networks

Self-Organization in Sensor and Actor Networks explores self-organization mechanisms and methodologies concerning the efficient;

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Recurrent Neural Networks for Prediction

Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

classify their progress on the other. Learners use it for learning, communication, and collaboration. Adaptive e-learning systems often employ;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection;

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