Tabla de Contenidos: “…Cover -- Copyright -- Contents -- Sponsors -- List of Chemical Symbols and Standard Acronyms -- General Guide to Technical Acronyms -- Preface -- Foreword from Vince Cable -- Foreword from South Korea -- Chapter 1: Industrial pollution and the water environment: a historical perspective -- 1.1 Introduction -- 1.2 Industrial Effluent Discharges -- 1.2.1 Industrial effluents -- 1.2.2 Mining industry -- 1.2.3 Effluent impacts case study: The River Mersey Bird Mortality -- 1.3 Industrial Complexes - Point Source and Diffuse Pollution -- 1.3.1 Drainage from industrial districts -- 1.3.2 Major accidents and other industrial incidents -- 1.4 Diffuse Sources of Pollution -- 1.4.1 Diffuse pollution at point of manufacture or processing -- 1.4.2 Industrial products causing pollution at point of use -- 1.5 Discussion -- 1.6 Conclusions -- 1.7 Acknowledgements -- References -- Chapter 2: Accidents and pollution: industry impacts -- 2.1 Introduction -- 2.2 Catastrophic Episodes -- 2.2.1 Seveso, Italy -- 2.2.2 Bhopal, India -- 2.2.3 Sweizerhalle, Switzerland - the Rhine Incident -- 2.2.4 Tianjin, China -- 2.3 Chronic Pollution Impacts -- 2.3.1 Hinkley, California -- 2.3.2 Love Canal, USA -- 2.3.3 Minamata and Niigata, Japan -- 2.3.4 Toyama Prefecture, Japan -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3: Industrial estates as sources of water pollution -- 3.1 Introduction -- 3.1.1 Definitions -- 3.1.2 Pollution sources and importance -- 3.2 Case Study (1) NW England &amp -- Wales -- 3.2.1 Sources and pathways - Industrial estate surveys in Merseyside -- 3.2.2 Deepols - potable water supplies at risk -- 3.3 Case Study (2) Daegu, Korea -- 3.4 Discussion -- 3.4.1 Oil -- 3.4.2 Seasonality and diffuse pollution characteristics -- 3.5 Conclusions -- References -- Chapter 4: Risk assessments - trader activities and water pollution -- 4.1 Introduction…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Chapter 1 Self-Powered Sensory Transducers: A Way Toward Green Internet of Things -- 1.1 Introduction -- 1.2 Need of the Work -- 1.3 Energy Scavenging Schemes in WSAN -- 1.3.1 Photovoltaic or Solar Cell -- 1.3.2 Temperature Gradient -- 1.3.3 Pressure Variations -- 1.3.4 Plant Microbial Fuel -- 1.3.5 Wind/Liquid Flow -- 1.3.6 Vibrations -- 1.3.7 Friction -- 1.4 Self Powered Systems and Green IoT (G-IoT) -- 1.5 Application Area and Scope of Self-Powered System in G-IoT -- 1.5.1 Terrestrial Applications -- 1.5.1.1 Agriculture -- 1.5.1.2 Smart Home and Cities -- 1.5.1.3 Industry -- 1.5.1.4 Medicines -- 1.5.1.5 Environment Monitoring -- 1.5.1.6 Structural Monitoring -- 1.5.1.7 Indoor Applications -- 1.5.1.8 Arial Vehicles -- 1.5.1.9 Military Applications -- 1.5.1.10 Underwater Applications -- 1.5.1.11 Submarine and Event Localization -- 1.5.1.12 Water Contamination -- 1.5.1.13 Intelligent Water Distribution and Smart Meter -- 1.5.1.14 Underground Applications -- 1.5.1.15 Coal and Petroleum Mining Application -- 1.5.1.16 Underground Structural Monitoring -- 1.6 Challenges and Future Scope of the Self-Powered G-IoT -- 1.6.1 Challenges Pertain to Energy Efficient Design and Protocols -- 1.6.2 Size and Cost of the Harvester -- 1.6.3 Energy-Efficient Routing and Scheduling Protocols -- 1.6.4 Design of Application-Specific Passive Wake-Up Receivers -- 1.6.5 Redefined Protocol with Application-Specific Goals -- 1.6.6 Embedded Operating Systems -- 1.6.7 AI and Cloud-Assisted Lifetime Prediction Techniques -- 1.6.8 Design of Energy-Efficient/Harvested Service-Oriented Architecture -- 1.6.9 Smart Web Interfaces for Monitoring -- 1.6.10 Cross Layer Exploitations with Energy Harvesting -- 1.6.11 Security Aspects and Need of Standardization…”

Tabla de Contenidos:

Tabla de Contenidos: “…5.4 Healthcare Practitioners -- 5.4.1 Smart Medical Devices -- 5.4.2 Time to Diagnosis -- 5.4.3 Electronic Health Records (EHRs), the Electronic Medical Records (EMRs) -- 5.4.4 Using AI and Analytics to Determine Dental Group Practice Quality -- 5.4.5 Some Ways Various Healthcare Professionals Are Using Textual Analytics -- 5.5 Manufacturing Practitioners -- 5.5.1 Predictive Maintenance to Proactively Identify and Address Impending Equipment Failure -- 5.6 Retail Practitioners -- 5.7 Telecommunication Practitioners -- 5.8 Energy Practitioners -- 5.8.1 Major Energy Producer Unites Data Scientists and Subject Matter Experts -- 5.8.2 Large Utility Company Adds AI Project to Its Digital Transformation Project -- 5.9 Insurance Practitioners -- 5.9.1 CEO of Property and Casualty Insurance Company Delivers Analytics Mandate -- 5.10 Other Practitioners -- 5.11 Conclusion and Next Steps for Practitioners -- Reference -- 6 The Leaders -- 6.1 Introduction -- 6.2 Some Characteristics of Leaders -- 6.2.1 Organizational and Structural Differences -- 6.2.1.1 Notes on Organizational Structure and Design -- 6.2.2 Data Excellence -- 6.2.2.1 The Use of Unstructured Data-New Horizon Leaders Are Tapping Into -- 6.2.3 Self-Service That Enables Everyone in the Organization -- 6.3 Healthcare Leaders -- 6.3.1 Using Regulations and Mandates as a Catalyst for Innovation -- 6.4 Manufacturing Leaders -- 6.4.1 Smarter Identification of Defects with Text Analytics -- 6.5 Retail Leaders -- 6.5.1 Assortment -- 6.5.2 Right Value Proposition -- 6.5.3 Right Time/Location/Delivery -- 6.6 Energy Leaders -- 6.6.1 Global Top Five Oil Producer Manages Equipment with Text Analytics -- 6.7 Financial Services and Insurance Leaders -- 6.7.1 Insurance Holding Company Reduces Fraud Risk and Improves Operations with Text Mining (Analytics) -- 6.7.1.1 The Pilot -- 6.7.1.2 Results after Two Years…”

“…This study is principally concerned with the ethical dimensions of identity management technology - electronic surveillance, the mining of personal data, and profiling - in the context of transnational crime and global terrorism…”

“…Montpellier Business School et l’Ecole des Mines d’Alès les 17 et 18 mars 2011 sur le site de Nîmes de l’Ecole des Mines d’Alès. …”

“…Yet, data mining can be a valuable tool to detect errors and anomalies that can lead to the discovery of fraud"--…”

“…By paying constant attention to the rules, we can find points of tremendous impact, places of continued growth, mountains yet to be climbed, and land mines yet to be disarmed…”

“…This book explores the use of qualitative research methods, specifically text mining on social media, to understand complex human phenomena. …”

“…Beyond this mix of traditional hydraulic fracturing research topics, this book includes papers on applications in mining and also on regulations, risk, and communities…”

“…In a region where mining, forestry, fish and other primary resources are so basic to income, employment and national prosperity, an understanding of rights to land, water and minerals is fundamental…”

“…A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework…”

“…Colonial reports of three representatives of the Spanish crown in Guadalajara, charged with investigating and resolving problems between colonial authorities and indigenous groups in the areas of government, crime, agriculture, mining and customs…”

“…The proceedings of the 31st Workshop on Computational Intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques…”

“…Despite progress, health and safety in the thousands of small coal mines lag far behind the standards achieved in China’s modern, large mines. …”

“…She is a rat, and she detects land-mines by smelling them. She was born in the training lab of the Belgian company, Apopo, in Tanzania. …”

“…Jeannea Balibar es una cantante que vive entre ensayos y grabaciones, los conciertos de rock y los cursos de canto lírico entre un ático en Sainte-Marie aux Mines y el escenario de un café en toky en ensayos y grabaciones, en conciertos de rock y cursos de canto lírico, en un ático en Sainte-Marie-aux-Mines o en el escenario de un café en Tokyo…”
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“…The journal is a forum for exchange of research findings, analysis, information, and knowledge in areas which include but are not limited to: data mining, predictive modeling, simulation modeling, optimization modeling, prescriptive methods, and business intelligence…”