Search Results - "algorithm"

THE INDUSTRIES OF THE FUTURE by Ross, Alec 1971-

Table of Contents: “…The next will be built on our own genetic code -- The code-ification of money, markets, and trust. is there an algorithm for trust? New ways to exchange are forcing a rewrite of the compact between corporation, citizen, and government -- The weaponization of code. …”
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The effect of pre-operative neutrophil-lymphocyte ratio on outcome post coronary artery bypass graft (CABG) surgery by Roihan bt Awg Isa Dr

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Translational Bioinformatics in Healthcare and Medicine Advances in ubiquitous sensing applications for healthcare

Table of Contents: “…Fuzzy rule-driven data mining framework for knowledge acquisition for expert system - 18. High accuracy in algorithm bioinformatics efficient in healthcare in detection and counting of leukocytes, blasts, and erythrocytes…”
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Bezonomics HOW AMAZON IS CHANGING OUR LIVES, AND WHAT THE WORLD'S BEST COMPANIES ARE LEARNING FROM IT by Dumaine, Brian

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Medical emergencies in the dental office Stanley F. Malamed ; chapter 4, Legal considerations contributed by Daniel L. Orr II, Timothy M. Orr by Malamed, Stanley F. 1944-, Orr, Daniel L., Orr, Timothy M.

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Tribology Handbook

Table of Contents: “…Gupta -- ch. 18 Optimum Groove Location of Hydrodynamic Journal Bearing Using Genetic Algorithm / S. K. Kakoty -- ch. 19 Formation of Composite Surface during Friction Surfacing of Steel with Aluminium / K. …”
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Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data by Guttag, John V. 1949-

Table of Contents: “…Knapsack problems -- 14.1.1. Greedy algorithms -- 14.1.2. An optimal solution to the 0/1 knapsack problem -- 14.2. …”
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Gene expression profiling of human bronchial smooth muscle and lung fibroblasts cells stimulated with IL-1Beta, IL-4, IL-5 and IL-13 cytokines through the application of cDNA micr... by Faizah Jaafar

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Database systems models, languages, design, and application programming by Elmasri, Ramez

Table of Contents: “…Chapter 1 : Introduction to Databases -- Chapter 2 : Overview of database languages and architectures -- Chapter 3 : The basic ( Flat ) relational model -- Chapter 4 : SQL : data definition, constraints, and basic querie and updates -- SQL : advanced queries, assertions,triggers and views -- Chapter 6 : Formal relational languages : the algebra and calculus -- Chapter 7 : Conceptuaol data modeling using entities and relationships -- Chapter 8 : Mapping a conceptual design into a logical design -- Chapter 9 : Relational Database Design -- Chapter 10 : Object and object-relational databases : concepts,models,languages and standards 341 -- Chapter 11 : XML : Concepts,languages, and standard -- Chapter 12 : SQL application programming using C and Java -- Chapter 13 : SQL Web Programming using C PHP -- Chapter 14 : Database design theory : introduction to normalization using functional and multivalued dependencies -- Chapter 15 : Database design theory : normalization algorithms -- Chapter 16 : Database file organizations : unortders,ordered and hashed files of records -- Chapter 17 : database file indexing techniques,B-trees, and B+-Trees -- Chapter 18 : Introduction to query processing and query optimization techniques -- Chapter 19 : Introduction to databse tuning an dphysical design issues -- Chapter 20 : Foundations of database transaction processing -- Chapter 21 : Introduction to protocols for concurrency control in databases -- Chapter 22 : Introduction to database recovery protocols -- Chapter 23 : Emerging database technologies and applications -- Chapter 24 : Advanced database models and applications -- Chapter 25 : Introduction to database security -- Chapter 26 : Introduction to distributed databases -- Chapter 27 : Introduction to information retrieval…”
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Handbook of drugs in intensive care an A-Z guide by Paw, Henry G. W.

Table of Contents: “…Contents note continued: Antioxidants -- Post-splenectomy prophylaxis -- Anti-microbial drugs -- Bacterial gram staining -- Antibiotics: sensitivities -- Renal replacement therapy -- Extracorporeal drug clearance: basic principles -- Drug doses in renal failure/renal replacement therapy -- Chemical pleurodesis of malignant pleural effusion -- APPENDICES -- Appendix A Creatinine clearance -- Appendix B Weight conversion (stones/lb to kg) -- Appendix C Body mass index (BMI) calculator -- Appendix D Lean body weight charts -- Appendix E Infusion rate/dose calculation -- Appendix F Drug compatibility chart -- Appendix G Omeprazole administration record -- Appendix H Sodium content of oral medications -- Appendix I Drug management of the brain-stem-dead donor -- Appendix J Vancomycin by continuous infusion -- Appendix K Child-Pugh score -- Appendix L Severe sepsis algorithm…”
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Predicting Heart Failure Invasive, Non-Invasive, Machine Learning No Artificial Intelligence Based Methods

Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis 10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam Index 321…”
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PREDICTING HEART FAILURE INVASIVE, NON-INVASIVE, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE BASED METHODS

Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis 10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam Index 321…”
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Aeration control system design a practical guide to energy and process optimization by Jenkins, Thomas E. 1950-

Table of Contents: “…Machine generated contents note: Foreword Acknowledgements List of Figures Chapter 1: Introduction 1.1 Basic Concepts and Objectives 1.2 Safety 1.3 The Importance of an Integrated Approach 1.4 Importance of Operator Involvement 1.5 The Benefits of Successful Aeration Process Automation Chapter 2: Initial System Assessment 2.1 Define Current Operations 2.2 Evaluate Process and Equipment 2.3 Benchmark Performance 2.4 Estimate Potential Energy Savings and Performance Improvement 2.5 Prepare Report Chapter 3: Aeration Processes 3.1 Process Fundamentals 3.2 Loading Variations and Their Implications 3.3 Process Limitations and Their Impact on Control Systems Chapter 4: Mechanical and Diffused Aeration Systems 4.1 Oxygen Transfer Basics 4.2 Types of Aerators 4.3 Savings Determinations Chapter 5: Blowers and Blower Control 5.1 Common Application and Selection Concern s 5.2 Positive Displacement Blowers and Control Characteristics 5.3 Dynamic Blowers Chapter 6: Piping Systems 6.1 Design Considerations 6.2 Pressure Drop 6.3 Control Valve Selection Chapter 7: Instrumentation 7.1 Common Characteristics and Electrical Design Considerations 7.2 Pressure 7.3 Temperature 7.4 Flow 7.5 Analytic Instruments 7.6 Motor Monitoring and Electrical Measurement s 7.7 Miscellaneous Chapter 8: Final Control Elements 8.1 Valve Operators 8.2 Guide Vanes 8.3 Motor Basics 8.4 Motor Control 8.5 Variable Frequency Drives Chapter 9: Control Loops and Algorithms 9.1 Control Fundamentals 9.2 Dissolved Oxygen Control 9.3 Aeration Basin Air Flow Contro l 9.4 Pressure Control 9.5 Most-Open-Valve Control 9.6 Blower Control and Coordination 9.7 Control Loop Timing Considerations 9.8 Miscellaneous Controls Chapter 10: Control Components 10.1 Programmable Logic Controllers 10.2 Distributed Control Systems 10.3 Human Machine Interfaces 10.4 Control Panel Design Considerations Chapter 11: Documentation 11.1 Specification Considerations 11.2 Data Lists 11.3 Process and Instrumentation Diagrams 11.4 Ladder and Loop Diagrams 11.5 One-Line Diagrams 11.6 Installation Drawings 11.7 Loop Descriptions 11.8 Operation and Maintenance Manuals Chapter 12: Commissioning 12.1 Inspection 12.2 Testing 12.3 Tuning 12.4 Training 12.5 Measurement and Verification of Results Chapter 13: Summary 13.1 Review of Integrated Design Procedure 13.2 Potential Problem Areas 13.3 Benefit s Appendix A: Example Problem Solutions Appendix B: List of Equations and Variables Bibliography .…”
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DATA AND COMPUTER COMMUNICATIONS by Stallings, William

Table of Contents: “…Autocorrelation Appendix O TCP/IP Example Appendix P Queue Management and Queueing DisciplineAppendix Q Cryptographic Algorithms Appendix R Uniform Resource Locators (URLs) and Uniform Resource Identifiers (URIs) Appendix S Augmented Backus-Naur Form Appendix T Derivations of Equations and Examples Glossary…”
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Dermatologic principles and practice in oncology conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Ito Section 5 -- 32 Late Dermatologic Conditions / Jennifer Namchoi Section 6 Dermatologic Practice in Oncology 33 Management Algorithms for Dermatologic Adverse Events / Alyx Rosen, Iris Amitay-Laish and Mario E. …”
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Principles of computerized tomographic imaging by Kak, Avinash C., Slaney, Malcolm

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Introduction to Numerical Analysis by Prasad, Devi

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Interactive data visualization foundations, techniques, and applications by Ward, Matthew

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Using the new AACR2 an expert systems approach to choice of access points

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OPTIMIZATION TECHNIQUES FOR SOLVING COMPLEX PROBLEMS

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