A. Suresh (editor) - Sensor Data Analysis and Management: The Role of Deep Learning
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- Book:Sensor Data Analysis and Management: The Role of Deep Learning
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Sensor Data Analysis and Management: The Role of Deep Learning: summary, description and annotation
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Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis
Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.
The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance.
The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of:
- A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data
- An exploration of the benefits of neural networks in real-time environmental sensor data analysis
- Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition
- An analysis of boosting with XGBoost for sensor data analysis
Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
A. Suresh (editor): author's other books
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- Accelerometer,
- Access Control,
- Accurate data,
- Activation function,
- Active and passive attacks,
- Active nodes,
- Active switches,
- Activity discrimination,
- Activity monitoring applications,
- activity recognition,
- Activity trackers,
- activity tracking,
- AdaBoost algorithm,
- Adaptive neuro-fuzzy inference system,
- Address resolution protocol,
- Ad-hoc on-demand distance vector,
- Agent.
- Allocation,
- Amplified energy,
- Analogous hops,
- Anomaly-based detection system,
- Ant colony optimization,
- Ant colony,
- Application programming interface layer,
- Arctangent function,
- Area-based collaborative sleeping protocol,
- Artificial bee colony,
- Artificial vision assisted system,
- Artificial vision-assisted recognition system,
- Atarraya simulation,
- Automated robots,
- Automation
- Autonomous process,
- Average energy consumptions,
- Back-propagation algorithm,
- Backward route establishment,
- Bandwidth,
- Base station,
- Bidirectional route establishment,
- Bidirectional routing strategy,
- Binary crossentropy,
- Biobjective conceptualization,
- Biomedical hardware,
- Biosensor,
- Black hole attack,
- Blood pressure monitoring,
- Bluetooth,
- Body sensor systems,
- Breadth-first search,
- Caf,
- Capacity of CPU,
- Cartesian product,
- Cartographic databases,
- Class conditional independence,
- Cleveland dataset,
- Cloud environment,
- Cloud service provider,
- Clustering technique,
- Compactness,
- Constant bit rate,
- Contextual anomalies,
- Contractionexpansion coefficient,
- Controlled mobility,
- Correlation,
- Covariance matrix,
- Curvature,
- Data aggregation,
- Data collection,
- Data deliverance,
- Data delivery,
- Data packets,
- Data reception,
- Data storage constraints,
- Data transmission procedures,
- Data transmission,
- Decision rule,
- Deep code generation convolutional neural network,
- Deep convolution neural networks,
- Deep neural network,
- Deep recurrent neural network,
- Deep support vector machines,
- Defense science and technology laboratory,
- Defuzzification layers,
- Delay-tolerant,
- Denial-of-service,
- Denoise coder,
- Denoised auto encoder,
- Density estimation,
- Deviation,
- Dilated convolution,
- Direct discriminant investigation,
- Discrete domain,
- Discrimination,
- Domain transformation,
- Dynamic network,
- Dynamic WSN,
- Edgeboxes,
- Efficient vehicle-tracking system,
- E-health monitoring architecture,
- Eigenvalues,
- Eigenvectors,
- Electrocardiogram sensor,
- Electrodermal activity sensor,
- Electroencephalogram sensor,
- Electromyogram sensor,
- Electromyography sensor,
- Encoders and decoders,
- End-to-end delay, network overhead,
- Energy and bandwidth,
- Energy consumption,
- Energy parameter,
- Energy-efficient networks,
- Energy-efficient routing approach,
- Epochs,
- Euclidean distance,
- Evaluation phase,
- Evolutionary mechanism,
- Expected value of time delay,
- Exponential function,
- Exponential linear unit,
- False negative,
- False positive,
- Fault-tolerance,
- Feature extraction,
- Feature selection,
- Feature-based IDS system,
- Field programmable gate arrays,
- Fitness value,
- Fleeting-based division,
- Forward route establishment,
- Fourier and wavelet transforms,
- Fourier descriptors,
- fractional function,
- Frequency domain,
- Frequency spectrum,
- Fuzzy adaptive resonance theory,
- Fuzzy logic, ,74
- Fuzzy set,
- Genetic algorithm,
- Genetic-based fuzzy,
- Geographic information system,
- Global warming,
- Glucometer,
- Google speech recognizer,
- GPS sensor data,
- GPS tracker,
- Greedy maximum residual energy,
- Green energy solutions,
- Gyroscope sensors,
- Hamming distance,
- Health monitoring,
- Healthcare monitoring system,
- Heart rate sensor,
- Heterogeneous,
- Heuristic resource combination algorithm,
- High-dimensional feature vector,
- Homogeneity,
- Human-action recognition,
- Hyperbolic tangent function,
- IEEE 802,
- Image processing,
- Immunoassay strategies,
- Improved method OTSU,
- Increased element vector,
- Information gain,
- Infusion pumps,
- Initiation time,
- Input layer,
- Instruction layer,
- Integral,
- Integrated optics,
- Intelligent routing strategy,
- International Organization for Standardization,
- Internet of things,
- Internet,
- Interpretable learning,
- Intersection over union,
- Intrusion detection,
- Intrusion,
- Inverted pyramid architecture,
- IoT HAR Systems,
- Iteration algorithms,
- Jaccard distance,
- Jaccard index,
- K means cluster,
- Kernel,
- k-nearest neighbor algorithm,
- k-nearest neighbor methods,
- Knowledge discovery in databases,
- Kurtosis,
- Light sensors,
- Linguistic variables,
- Listen for data,
- Load balancing,
- Logical resources,
- Long term short,
- Low energy dissipation,
- Low noise ratio,
- Magnetometer,
- Manhattan distance,
- Matlab,
- Maxima points,
- Mean absolute relative error,
- Mean relative error (MRE),
- Mean,
- Medical diagnosis,
- Medical sensors,
- Medical sensors,
- Membership function,
- Metallic oxide gas sensor,
- Migration algorithm,
- Minima points,
- Minimal energy,
- Minkowski distance,
- Mixed integer linear programming,
- Mobile ad-hoc networks,
- Mobile operating systems,
- Mobile sink,
- Monte carlo,
- Motion sensors,
- Movement acknowledgement,
- Movement-based division,
- Multispectral bands,
- Multispectral input image channels,
- Multivariable control theory,
- Nave bayes,
- Network layer,
- Network security,
- Network simulator,
- Network topology,
- Network,
- Neural network,
- Neural technologies,
- Neuro-fuzzy system,
- Neuro-fuzzy-based bidirectional and biobjective reactive routing schema,
- Nitrite reductase,
- Node motion,
- Node price,
- Nonlinear fitting process,
- NumPy,
- Object detection,
- Octave,
- On-board handling method,
- One-hop communication nodes,
- Online training,
- Open system interconnect,
- Opportunistic neuro-fuzzy method,
- Optimal routing node,
- Optimal speed,
- Optimum gray level,
- Outlier detection,
- Oximeter,
- Packet delivery ratio,
- Panchromatic,
- Path establishment,
- Patients electronic health record,
- Percentage of route change,
- Perception layer,
- Pi Camera,
- Pixel-level classifiers,
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