Search Results - "Machine"

Broken promises an unconventional view of what went wrong at IBM by Mills, Daniel Quinn

Subjects: “…International Business Machines Corporation…”
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The silverlake project transformation at IBM

Subjects: “…International Business Machines Corporation…”
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IBM redux Lou Gerstner and the business turnaround of the decade by Garr, Doug

Subjects: “…International Business Machines Corporation…”
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Evolving connectionist systems methods and applications in bioinformatics, brain study and intelligent machines by Kasabov, Nikola K

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Advanced digital logic design using VHDL, state machines, and synthesis for FPGAs by Lee, Sunggu

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Advanced Digital Logic Design Using Verilog, State Machines, and Synthesis for FPGAs by Lee, Sunggu

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Bio-inspired credit risk analysis computational intelligence with support vector machines

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The Big Nine How the Tech Titans and Their Thinking Machines Could Warp Humanity by Webb, Amy

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Downloading bibliographic records proceedings of a one-day seminar sponsored by the MARC user's group

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Numerical control programming manual CNC and APT/Compact II by Stanton, George C

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The misunderstand miracle industrial development and political change in Japan by Friedman, David

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Bayesian artificial intelligence by Korb, Kevin B.

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Plastic part design for injection molding an introduction by Malloy, Robert A.

Subjects: “…njection molding of plastic Machine parts…”
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Jig boring for engineering craftsmen

Subjects: “…Machine-shop practice Handbooks, manuals, etc…”
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SUPERHUMAN INNOVATION Transforming businesses with artificial intelligence by Duffey, Chris

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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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Control chart technique when manufacturing to a specification with special reference to articles machined to dimensional tolerances by Dudding, B. P

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Medical statistics a commonsense approach by Campbell, Michael J., Machin, David

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How to do critical discourse analysis a multimodal introduction by Machin, David 1966-

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