Search Results - (((((((ant OR win) OR mantis) OR wind) OR cantor) OR anne) OR share) OR hints) algorithms.

Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Arithmetic, Geometry, Cryptography and Coding Theory. by Bassa, Alp

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PHealth 2017 : proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 14-16 May 2017, Eindhoven, the Netherlands

Table of Contents: “…Information System of Personalized Patient's Adherence Level DeterminationSmartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices; pHealth and Population Health; Architecture for Variable Data Entry into a National Registry; Patient Summaries in Context of Large Scale EHR Networks with Fine Granular Access Control Restrictions; Behavioral Aspects; Classifying Drivers' Cognitive Load Using EEG Signals; Open Dataset for the Automatic Recognition of Sedentary Behaviors.…”
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Informatics and technology in clinical care and public health

Table of Contents: “…Intro -- Title Page -- Preface -- ICIMTH 2021 Scientific Programme Committee and Reviewers -- Contents -- Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers -- A Comparison of Word Embeddings to Study Complications in Neurosurgery -- Gulf Cooperation Council Clinical Trials in the Pursuit of Medications for COVID-19…”
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The neural basis of free will : criterial causation by Tse, Peter

Table of Contents: “…-- Iconic versus Working Memory -- Stage 1 Qualia as Precompiled Informational Outputs of Preconscious Operations -- Qualia as a Shared Format for Endogenous Attentional Operations -- Experience Is for Endogenously Attending, Doing, and Planning -- Volitional Attentional Tracking Requires Consciousness -- If an Animal Can Attentionally Track, Is it Conscious? …”
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Model Building in Mathematical Programming. by Williams, H. Paul

Table of Contents: “…Intro -- Title Page -- Copyright -- Dedication -- Preface -- Preface to the Fifth Edition -- Part I -- Chapter 1: Introduction -- 1.1 The concept of a model -- 1.2 Mathematical programming models -- Chapter 2: Solving mathematical programming models -- 2.1 Algorithms and packages -- 2.2 Practical considerations -- 2.3 Decision support and expert systems -- 2.4 Constraint programming (CP) -- Chapter 3: Building linear programming models -- 3.1 The importance of linearity -- 3.2 Defining objectives -- 3.3 Defining constraints -- 3.4 How to build a good model…”
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Atlas of AI : power, politics, and the planetary costs of artificial intelligence by Crawford, Kate, 1976-

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Multi-processor system-on-chip. 1, Architectures

Table of Contents: “…Matrix multiplication algorithm on the Plural architecture…”
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Artificial intelligence research and development : current challenges, new trends and applications

Table of Contents: “…-- An Argumentation Approach for Agreement Analysis in Reddit Debates -- Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction -- N-Channel Convolutional Neural Networks for Irony Detection in Twitter -- A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition -- Classifying and Generalizing Successful Parameter Combinations for Sound Design -- A Visual Distance for WordNet -- Enhancing Text Spotting with a Language Model and Visual Context Information -- Cognitive Systems and Agents -- What Is the Physics of Intelligence? …”
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Biological computation by Lamm, Ehud

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A Primer on Machine Learning Applications in Civil Engineering by Deka, Paresh Chandra

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- A Primer on Machine Learning Applications in Civil Engineering -- Author -- 1: Introduction -- 1.1 Machine Learning -- 1.2 Learning from Data -- 1.3 Research in Machine Learning: Recent Progress -- 1.4 Artificial Neural Networks -- 1.5 Fuzzy Logic (FL) -- 1.6 Genetic Algorithms -- 1.7 Support Vector Machine (SVM) -- 1.8 Hybrid Approach (HA) -- Bibliography -- 2: Artificial Neural Networks -- 2.1 Introduction to Fundamental Concepts and Terminologies -- 2.2 Evolution of Neural Networks -- 2.3 Models of ANN -- 2.4 McCulloch-Pitts Model -- 2.5 Hebb Network -- 2.6 Summary -- 2.7 Supervised Learning Network -- 2.7.1 Perceptron Network -- 2.7.2 Adaptive Linear Neuron -- 2.7.3 Back-Propagation Network -- 2.7.4 Radial Basis Function Network -- 2.7.5 Generalized Regression Neural Networks -- 2.7.6 Summary -- 2.8 Unsupervised Learning Networks -- 2.8.1 Introduction -- 2.8.2 Kohonen Self-Organizing Feature Maps -- 2.8.3 Counter Propagation Network -- 2.8.4 Adaptive Resonance Theory Network -- 2.8.5 Summary -- 2.9 Special Networks -- 2.9.1 Introduction -- 2.9.2 Gaussian Machine -- 2.9.3 Cauchy Machine -- 2.9.4 Probabilistic Neural Network -- 2.9.5 Cascade Correlation Neural Network -- 2.9.6 Cognitive Network -- 2.9.7 Cellular Neural Network -- 2.9.8 Optical Neural Network -- 2.9.9 Summary -- 2.10 Working Principle of ANN -- 2.10.1 Introduction -- 2.10.2 Types of Activation Function -- 2.10.3 ANN Architecture -- 2.10.4 Learning Process -- 2.10.5 Feed-Forward Back Propagation -- 2.10.6 Strengths of ANN -- 2.10.7 Weaknesses of ANN -- 2.10.8 Working of the Network -- 2.10.9 Summary -- Bibliography -- 3: Fuzzy Logic -- 3.1 Introduction to Classical Sets and Fuzzy Sets -- 3.1.1 Classical Sets -- 3.1.2 Fuzzy Sets -- 3.1.3 Summary.…”
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New Horizons in Mobile and Wireless Communications, Volume 1 : Radio Interfaces. by Prasad, Ramjee

Table of Contents: “…1.3 Research and Standardization Activities Toward New Radio Interfaces1.3.1 European-Funded Research Activities; 1.3.2 Other Activities; 1.4 Preview of the Book; References; Chapter 2 Spectrum-Efficient Radio Interface Technologies; 2.1 Introduction; 2.1.1 Radio Interfaces for Ubiquitous Communications; 2.1.2 OFDM-Based Radio Interfaces in the Scope of Next Generation Systems; 2.1.3 Coexistence and Spectrum Sharing; 2.1.4 Opportunities for Secondary Spectrum Use; 2.1.5 Multiband Transmissions; 2.2 Radio Interfaces Optimized for PANs; 2.2.1 Scenarios and Radio Propagation Models for PANs.…”
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Uncertainty, expectations, and financial instability : reviving Allais's lost theory of psychological time by Barthalon, Eric

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Heterogeneous networks in LTE-Advanced by Acharya, Joydeep

Table of Contents: “…Chapter 3 LTE Signal Structure and Physical Channels 3.1 Introduction; 3.2 LTE Signal Structure; 3.3 Introduction to LTE Physical Channels and Reference Signals; 3.4 Resource Block Assignment; 3.5 Downlink Physical Channels; 3.5.1 Physical Broadcast Channel (PBCH); 3.5.2 Physical Downlink Shared Channel (PDSCH); 3.5.3 Physical Multicast Channel (PMCH); 3.5.4 Physical Control Format Indicator Channel (PCFICH); 3.5.5 Physical Hybrid ARQ Indicator Channel (PHICH); 3.5.6 Physical Downlink Control Channel (PDCCH); 3.6 Uplink Physical Channels; 3.6.1 Physical Uplink Shared Channel (PUSCH).…”
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A Statistical approach to genetic epidemiology : concepts and applications, with an e-Learning Platform. by Ziegler, Andreas, 1966-

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Microwave and millimeter wave circuits and systems : emerging design, technologies, and applications

Table of Contents: “…1.1.7 MBF Model -- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation -- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”
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Intelligent IoT for the Digital World : Incorporating 5G Communications and Fog/Edge Computing Technologies. by Yang, Yang

Table of Contents: “…1.4.4 Intelligent Manufacturing and Interactive Design -- 1.4.5 Autonomous Driving and Vehicular Networks -- 1.5 Requirements and Challenges for Intelligent IoT Services -- 1.5.1 A Generic and Flexible Multi-tier Intelligence IoT Architecture -- 1.5.2 Lightweight Data Privacy Management in IoT Networks -- 1.5.3 Cross-domain Resource Management for Intelligent IoT Services -- 1.5.4 Optimization of Service Function Placement, QoS, and Multi-operator Network Sharing for Intelligent IoT Services -- 1.5.5 Data Time stamping and Clock Synchronization Services for Wide-area IoT Systems -- 1.6 Conclusion…”
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Revolutionary routines : the habits of social transformation by Pedwell, Carolyn

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Digital wealth : an automatic way to invest successfully by Moore, Simon, 1978-

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Stochastic optimization models in finance

Table of Contents: “…The Main Theorem and an Algorithm; V. Nonterminating Processes; ACKNOWLEDGMENT; REFERENCES; CHAPTER5. …”
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