Search Results - "sensor"

DATA DRIVEN HARNESSING DATA AND AI TO REINVENT CUSTOMER ENGAGEMENT by Chavez, Tom, O'Hara, Chris, Vaidya, Vivek

Table of Contents: “…Origins -- The magic coffee maker -- The emergence of people data -- Three core principles for building a winning data strategy -- Data in, data out -- The five sources of data-driven power -- Making it real for your organization -- The new basis of competition : know, personalize, and engage -- Seven forecasts to light up your future sensors.…”
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Electronic Design and Signal Processing

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Cybersecurity - Attack and Defense Strategies by Diogenes, Yuri, Ozkaya, Erdal

Table of Contents: “…Understanding the Cybersecurity Kill ChainReconnaissanceCompromising the SystemChasing a User's IdentityLateral MovementPrivilege EscalationSecurity PolicyNetwork SegmentationActive SensorsThreat IntelligenceInvestigating an IncidentRecovery ProcessVulnerability ManagementLog Analysis…”
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AN INTELLIGENT MOTION DETECTOR FOR SECURITY PURPOSES IN A SMART HOME SYSTEM by Mohamed Faidz Mohamed Said

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Manual of Remote Sensing

Table of Contents: “…Earth observing platforms & sensors / edited by Stanley A. Morain and Amelia M. …”
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Water Quality Monitoring and Management Basic, Technology and Case Studies by Li, Daoliang, Liu, Shuangyin

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NETWORK SECURITY current status and future directions

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Nanomedicine and cancer

Table of Contents: “…Muddiman -- Composite nano-sensor arrays technology in lung cancer / Silvano Dragonieri, Giorgio Pennazza, and Marco Santonico -- Nano arsenic oxide (As2o3)/(Fe2o3) iron oxide complexes for liver cancer / Ziyu Wang and Dongsheng Zhang -- Hepatocellular carcinoma and midkine-antisense oligonucleotide-loaded nanoparticles / Licheng Dai, Yaoxing and Zhongjing -- Nanotechnology and nanostructures applied to head and neck cancer / Erik C. …”
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Nanoengineered Nanofibrous Materials

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INTELLIGENT VEHICLES Enabling Technologies and Future Developments

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Biomedical instrumentation systems by Chatterjee, Shakti, Miller, A.

Table of Contents: “…Introduction to biomedical instrumentation systems -- Anatomy and physiology -- Biosignals and noise -- Biomedical electronics: analog -- Biomedical electronics : digital -- Biomedical electrodes, sensors, and transducers -- Instrumentation in diagnostic cardiology -- Defribrillators and pacemakers -- Instrumentation in blood circulation -- Instrumentation in extracorporeal circulation and cardiac assist devices -- Instrumentation in respiration -- Electroencephalography and EMG instrumentation -- Artifacts and noise in medical instrumentation -- Instrumentation in diagnostic ultrasound -- Instrumentation in medical imaging -- Fiber optics and lasers in bioinstrumentation -- Instrumentation in intensive care units -- Instrumentation in the operating room -- Biomedical laboratory instrumentation -- Medical safety -- Regulation and standards -- Preventive maintenance -- Computers and telemedicine -- New technologies and advances in medical instrumentation.…”
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SIGNAL PROCESSING FOR REMOTE SENSING

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Smart Cities and Homes Key Enabling Technologies

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Wireless networking by Chandra Praphul

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Tietz fundamentals of clinical chemistry

Table of Contents: “…Introduction to clinical chemistry and evidence-based laboratory medicine -- Introduction to principles of laboratory analyses and safety -- Specimen collection and other preanalytical variables -- Optical techniques -- Electrochemistry and chemical sensors -- Electrophoresis -- Chromatography -- Mass spectrometry -- Principles of clinical enzymology -- Principles of immunochemical techniques -- Automation in the clinical laboratory -- Point-of-care testing --…”
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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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RF & wireless technologies by Fette Bruce

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ADVANCED FIBER OPTICS CONCEPTS AND TECHNOLOGY

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Proceedings of Eurosensors V Rome, Italy, September 30-October 2, 1991

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