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308by Modis, KonstantinosTable of Contents: “...Front Cover -- Introduction to Mining Geostatistics: Intuitive Applications With Excel and R -- Copyright Page -- Dedication -- Contents -- About the authors -- Prolegomena -- Acknowledgments -- 1 Introduction to ore reserves estimation -- Synopsis -- Prerequisites -- Learning objectives -- Terminology -- 1.1 A day in a classroom -- 1.2 The problem of estimation -- 1.2.1 Description -- 1.2.2 Deterministic interpolation methods -- 1.3 The big picture, or where we stand in the production chain -- 1.4 Basic concepts -- 1.5 Steps involved in developing the block model -- 1.6 Joint distribution of actual and estimated values -- 1.7 Challenges encountered in developing a numerical model -- 1.8 The evolution of geostatistics -- 1.9 Introduction to the statistical programming language R -- Exercises -- Exercise 1.1 -- Answer -- Exercise 1.2 -- Answer -- Exercise 1.3 -- Answer -- References -- 2 Essential statistics and exploratory data analysis -- Synopsis -- Prerequisites -- Learning objectives -- Terminology -- 2.1 Nonparametric statistics of one variable -- 2.2 Joint distribution of two random variables -- 2.3 Vector representation of random variables -- 2.4 Joint distribution of multiple random variables -- 2.5 Linear dependency in the space of random variables -- 2.6 Exploratory data analysis -- 2.6.1 Assimilation of geological knowledge -- 2.6.2 Spatial distribution of geological information -- 2.6.3 Sample distribution and correlation analysis of a random variable -- 2.7 Data transformations -- 2.7.1 Detrending -- 2.7.2 Normalization -- 2.7.3 Formulation of indicators -- Exercises -- Exercise 2.1 -- Answer -- Exercise 2.2 -- Answer -- Exercise 2.3 -- Answer -- Exercise 2.4 -- Answer -- Exercise 2.5 -- Answer -- Exercise 2.6 -- Answer -- Exercise 2.7 -- Answer -- References -- 3 Introduction to sampling and relevant errors -- Synopsis....”
Published 2025
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309Published 2018Table of Contents: “...Learning Process in E-Learning -- chapter 3 Solving the Problems of Linguistically Diverse First-Year University Students Using Digital Learning -- chapter 4 Moving Enterprise Architecture from Professional Certificates to Academic Credentials -- chapter 5 Automatic Identification and Data Capture Techniques by Radio-Frequency Identification (RFID) Tags: Readifer Authentication and Ethical Aspects -- chapter 6 Artificial Intelligence in E-Learning -- chapter 7 Wireless Multimedia Sensor Networks: Cross-Layer Approach Protocols -- chapter 8 Survey of E-Learning Standards -- chapter 9 A Classification Perspective of Big Data Mining -- chapter 10 Streaming Data Classification in Clustered Wireless Sensor Networks -- chapter 11 Video Codecs Assessment over IPTV Using OPNET -- chapter 12 Brain Storm Optimization (BSO) for Coverage and Connectivity Problems in Wireless Sensor Networks -- chapter 13 An Exploratory Evaluation of the Awareness of E-Government Services among Citizens in Saudi Arabia -- chapter 14 An Internet of Things (IoT) Course for a Computer Science Graduate Program -- chapter 15 Modeling Guidelines of FreeRTOS in Event-B -- chapter 16 Generation of Use Case UML Diagram from User Requirement Specifications -- part Section ii coMMUnicAtion SYSteMS -- chapter 17 Design and Simulation of Adaptive Cognitive Radio Based on Software- Defined Radio (SDR) Using Higher-Ordifer Moments and Cumulants -- chapter 18 Effect of Black Hole Attacks on Delay-Tolerant Networks -- chapter 19 Proposed Adaptive Neural-Fuzzy Inference System (ANFIS) Identifier for M-ary Frequency Shift Keying (FSK) Signals with Low SNR -- chapter 20 New Image Scrambling Algorithm Depending on Image Dimension Transformation Using Chaotic Flow Sequences -- chapter 21 Efficient Two-Stage Sensing Method for Improving Energy Consumption in Cognitive Radio Networks -- chapter 22 Current Status of Information Security Based on Hybrid Crypto and Stego Systems -- chapter 23 The Status of Research Trends in Text Emotion Detection -- chapter 24 Reaction Automata Direct Graph (RADG) Design on Elliptic Curve Cryptography -- chapter 25 A Performance Comparison of Adaptive LMS, NLMS, RLS, and AFP Algorithms for Wireless Blind Channel Identification -- chapter 26 Design of New Algorithms to Analyze RC4 Cipher Based on Its Biases -- chapter 27 Extracting Implicit Feedback from Users? ...”
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310Published 2023Table of Contents: “...3.5.4 Machine learning approaches -- 3.5.5 Pathway-based approaches -- 3.5.6 Artificial neuronal network approaches -- 3.5.7 Deep learning machine approaches -- 3.5.8 Network modeling approach -- 3.5.8.1 Autoencoder approaches -- 3.5.8.2 Text mining approaches -- 3.6 Artificial intelligence algorithms for drug repurposing -- 3.7 Computational intelligence-based approaches to identify therapeutic candidates for repurposing against coronavirus -- 3.7.1 Network-based model -- 3.7.2 Structure-based approaches -- 3.7.3 Artificial intelligence approaches -- 3.8 Challenges in drug repurposing -- 3.9 Future perspectives of artificial intelligence-informed drug repurposing -- 3.10 Conclusion -- References -- 4 COVID-19: artificial intelligence solutions, prediction with country cluster analysis, and time-series forecasting -- 4.1 Introduction -- 4.1.1 Motivation for this study -- 4.1.2 Adverse impacts of COVID-19 outbreak -- 4.1.3 Chapter organization -- 4.1.4 Table of acronyms used in this chapter -- 4.2 Review of literature on COVID-19 pandemic -- 4.3 K-means clustering for COVID-19 country analysis -- 4.3.1 Cluster analysis: an overview -- 4.3.2 Dataset selection and preprocessing -- 4.3.3 Findings from COVID-19 country cluster data analysis -- 4.3.4 The results and discussions -- 4.4 Time-series modeling for COVID-19 new cases -- 4.4.1 Time-series modeling: an overview -- 4.4.2 Dataset description -- 4.4.3 Time-series exploration -- 4.4.4 Predictive analytics -- 4.5 Conclusion -- References -- Further reading -- 5 Graph convolutional networks for pain detection via telehealth -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Features extraction -- 5.2.2 Graph-based modules -- 5.2.3 Frame-wise weight calculation -- 5.2.4 Classification -- 5.3 Experiments -- 5.3.1 Datasets -- 5.3.2 Experimental setting -- 5.4 Results and discussion -- 5.5 Conclusion....”
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313Published 2019Table of Contents: “...Information Integration and Informatics -- Barriers of Automated BIM Use: Examining Factors of Project Delivery -- Simulation of construction processes as a link between BIM models and construction progression on-site -- In search of sustainable design patterns: Combining data mining and semantic analysis on disparate building data -- The role of Knowledge-based Information on BIM for Built Heritage -- Heritage Building Information Modelling (HBIM): A review of published case studies -- Next generation of transportation infrastructure management: Fusion of Intelligent Transportation Systems (ITS) and Bridge Information Modeling (BrIM) -- Blockchain in the construction sector: a socio-technical systems framework for the construction industry -- Formalized Knowledge Representation to Support Integrated Planning of Highway Projects -- An Automated Layer Classification Method for Converting CAD drawings to 3D BIM Models -- Defining Levels of Development for 4D Simulation of Major Capital Construction Projects -- Modularized BIM Data Validation Framework Integrating Visual Programming Language with LegalRuleML -- Coupling between a Building Spatial Design Optimisation Toolbox and BouwConnect BIM -- Reusability and Its Limitations of Modules of Existing BIM Data Exchange Requirements for New MVDs -- Employment of Semantic Web technologies for capturing comprehensive parametric building models -- BIM Coordination oriented to Facility Management -- OpenBIM Based IVE Ontology: an ontological approach to improve interoperability for Virtual Reality Applications -- BIM and Through-Life Information Management: A Systems Engineering Perspective -- A lean design management process based on planning the Level of Detail in BIM-based design -- Part 2. ...”
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