“…He describes a shortness of breath, tightness in his chest, sweating, and a feeling of extreme terror. …”

“…Males advertise themselves by inflating and deflecting the air sacs on their chests…”
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Tabla de Contenidos: “…Dealing with Splits Using the Adjusted Close Column -- Creating a Line Chart to Show Closing Prices -- Adding Volume as a Column Chart to the Line Chart -- Creating OHLC Charts -- Producing a High-Low-Close Chart -- Creating an OHLC Chart -- Adding Volume to a High-Low-Close Chart -- Creating Candlestick Charts -- Changing Colors in a Candlestick Chart -- Adding Volume to a Candlestick Chart -- Manually Creating a Candlestick Chart with Volume -- Creating a Candlestick Stock Chart Showing Volume and a Competitor -- Creating a Live Chart by Using a Web Connection -- Making Charts Small for Use in Dashboards -- Next Steps -- 7 Advanced Chart Techniques -- A Tool Chest of Advanced Charting Techniques -- Mixing Two Chart Types on a Single Chart -- Moving Charts from One Worksheet to Another -- Using Shapes to Annotate a Chart -- Making Columns or Bars Float -- Using a Rogue XY Series to Label the Vertical Axis -- Converting a Series to Gridlines -- Showing Several Charts on One Chart by Using a Rogue XY Series -- Using Multiple XY Series to Create a Trellis Chart -- Creating Dynamic Charts -- Using the OFFSET Function to Specify a Range -- Using VLOOKUP or MATCH to Find a Value in a Table -- Combining INDEX and MATCH -- Using Validation Drop-Downs to Create a Dynamic Chart -- Using Dynamic Ranges in a Chart -- Creating a Scrolling Chart -- Modifying the Scrollbar Example to Show the Last 12 Months -- Creating Advanced Charts -- Thermometer Chart -- Benchmark Chart -- Delta Chart -- Amazing Things People Do with Excel Charts -- Next Steps -- 8 Creating and Using Pivot Charts -- Creating Your First Pivot Chart -- What's New in Excel 2007 Pivot Tables -- Deciding Which Comes First: The Table or the Chart -- Rules for Preparing Underlying Pivot Data -- Creating Your First Pivot Chart -- Changing the Chart Type and Formatting the Chart…”

Tabla de Contenidos: “…2.6 Proposed Network Structure -- 3 Experiment -- 3.1 Training Process -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- AI4U: Modular Framework for AI Application Design -- 1 Motivation -- 2 Related Work -- 3 Proposed Approach -- 4 The Application Area -- 4.1 Watchman Scenario -- 4.2 Parkmonitor Scenario -- 4.3 Tracker Scenario -- 4.4 Mapping the Environment Scenario -- 4.5 Vehicle Counting -- 4.6 Space Surveyer -- 4.7 Mission to Mars -- 4.8 First Conclusions -- 5 Conclusions and Further Work -- References -- A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images -- 1 Introduction -- 2 Literature Review -- 3 Our Proposed Methodology -- 3.1 Dataset Description and Preprocessing -- 3.2 Methodology -- 4 Results -- 5 Future Work and Conclusion -- References -- AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions -- 1 Introduction -- 2 The Potential of Artificial Intelligence in MpMRI Analysis -- 2.1 Prostate Segmentation -- 2.2 Prostate Lesion Detection and Characterization -- 3 Urgent Challenges -- 3.1 Datasets -- 3.2 Defining Ground Truth -- 3.3 Different Evaluation Criteria -- 3.4 Limited Multireader Studies and Prospective Evaluation -- 4 Future Directions -- 5 Conclusions -- References -- Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Radiological Assessment Study -- 2.3 Deep CNN Model -- 2.4 Probability Mapping -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Results of Raw CNN Predictions -- 3.2 CNN Performance Compared to Human Raters -- 3.3 Diagnostic Accuracy of Combined Assessment -- 4 Discussion and Conclusion -- References -- Assessing GAN-Based Generative Modeling on Skin Lesions Images -- 1 Introduction -- 2 Materials and Methods…”

Tabla de Contenidos: “…4.5.4 Level process monitoring and control through SCADA replacement -- 4.6 Proposed system -- 4.6.1 Introduction to the proposed system -- 4.6.2 Flowchart of the system -- 4.6.3 Eclipse -- 4.7 Cloud description -- 4.8 Trail results -- 4.8.1 TRAIL 1 -- 4.8.2 TRAIL 2 -- 4.8.3 TRAIL 3 -- 4.8.4 TRAIL 4 -- 4.9 Project setup -- 4.10 Inference -- 4.11 Conclusion -- 4.12 Limitations of the proposed methodology -- Annexure-1 -- References -- Chapter 5: Automated computer-aided diagnosis of COVID-19 and pneumonia based on chest X-ray images using deep learning: Classification and segmentation -- 5.1 Introduction -- 5.2 Literature review -- 5.2.1 Medical image segmentation -- 5.2.2 Computer-aided detection and diagnosis -- 5.2.3 Annotation-efficient -- 5.3 Materials and methods -- 5.3.1 Dataset description -- 5.3.2 Pre-processing -- 5.3.3 Convolutional neuronal network -- 5.4 Experimental results -- 5.4.1 Experimental setup -- 5.4.2 Data augmentation -- 5.4.3 Evaluation of performance metrics -- 5.4.4 Graphical user interface -- 5.5 Conclusion and future work -- References -- Chapter 6: Fuzzy logic and applications -- 6.1 Introduction -- 6.2 Fuzzy logic concepts -- 6.3 Reasons for using fuzzy logic system -- 6.3.1 Main usage of fuzzy logic systems is prevalent in the following areas -- 6.3.2 Fuzzy logic in washing machines -- 6.4 Image processing -- 6.5 Anesthesia depth control using fuzzy logic -- 6.6 Fuzzy logic in monitoring drug dosage -- 6.7 Fuzzy logic-based water treatment system optimization -- 6.8 Applications of fuzzy logic in industrial automation -- 6.9 Software engineering -- 6.10 Power system applications -- 6.11 Fuzzy controllers' potential for use in RACs in the future -- 6.12 The benefits of fuzzy logic -- 6.13 Disadvantages of fuzzy logic -- 6.14 Conclusion -- References…”

Tabla de Contenidos: “…15.2 Core Areas of Deep Learning and ML-Modeling in Medical Healthcare -- 15.3 Use Cases of Machine Learning Modelling in Healthcare Informatics -- 15.3.1 Breast Cancer Detection Using Machine Learning -- 15.3.2 COVID-19 Disease Detection Modelling Using Chest X-Ray Images with Machine and Transfer Learning Framework -- 15.4 Improving the Quality of Services During the Diagnosing and Treatment Processes of Chronicle Diseases -- 15.4.1 Evolution of New Diagnosing Methods and Tools -- 15.4.2 Improving Medical Care -- 15.4.3 Visualization of Biomedical Data -- 15.4.4 Improved Diagnosis and Disease Identification -- 15.4.5 More Accurate Health Records -- 15.4.6 Ethics of Machine Learning in Healthcare -- 15.5 Limitations and Challenges of ML, DL Modelling in Healthcare Systems -- 15.5.1 Dealing With the Shortage of Knowledgeable-ML-Data Scientists and Engineers -- 15.5.2 Handling of the Bias in ML Modelling of Healthcare Information -- 15.5.3 Accuracy of Data Attenuation -- 15.5.4 Lack of Data Quality -- 15.5.5 Tuning of Hyper-Parameters for Improving the Modelling of Healthcare -- 15.6 Conclusion -- References -- Chapter 16 Developing a Cognitive Learning and Intelligent Data Analysis-Based Framework for Early Disease Detection and Prevention in Younger Adults with Fatigue -- 16.1 Introduction -- 16.2 Proposed Framework "Cognitive-Intelligent Fatigue Detection and Prevention Framework (CIFDPF)" -- 16.2.1 Framework Components -- 16.2.2 Learning Module -- 16.2.3 System Design -- 16.2.4 Tools and Usage -- 16.2.5 Architecture -- 16.2.6 Architecture of CNN-RNN -- 16.2.7 Fatigue Detection Methods and Techniques -- 16.3 Potential Impact -- 16.3.1 Claims for the Accurate Detection of Fatigue -- 16.3.2 Similar Study and Results Analysis -- 16.3.3 Application and Results -- 16.4 Discussion and Limitations -- 16.5 Future Work…”

Tabla de Contenidos: “…Intro -- Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 -- Copyright -- Contents -- Contributors -- Chapter 1: Deep learning-based hybrid models for prediction of COVID-19 using chest X-ray -- 1. Introduction -- 2. Related work -- 3. …”

“…This book watches out for the issues on making moves for chest radiology in carcinoma of the chest. It focuses on all parts of radiological approaches to manage the breast illness, be it light (optical), sound (ultrasound), interest, microwave, electrical impedance, blend of these modalities, and a section of the incredibly intense issues on computer-aided detection. …”

“…He describes a shortness of breath, tightness in his chest, sweating, and a feeling of extreme terror. …”

“…With this Issue, we aim at encouraging and wish to bring to light state-of-the-art reviews, novel original researches, and ongoing discussions on the multiple aspects of cardiovascular and chest imaging…”

“…Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. …”

“…It provides in-depth knowledge and a better understanding of the indications, positioning techniques, and management of chest drains and indwelling catheters, which are commonly utilized in the management of the pleural disease. …”