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and its ability to index previously seen images, several methods for loop closure detection adopting different approaches are developed and;
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randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a;
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imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the;
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Laser-Based Optical Detection of Explosives offers a comprehensive review of past, present, and emerging laser-based methods for the;
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Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology presents the data mining techniques with focus on;
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"typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis)
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Laser-Based Optical Detection of Explosives offers a comprehensive review of past, present, and emerging laser-based methods for the;
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well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the;
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This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and;
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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and;
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presents the different methods of edge detection, such as classical methods, multi-resolution methods, nonlinear methods, wavelet based methods;
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catenary geometry, pantograph slide fault, and catenary support system faults. It also introduces wire-irregularity detection methods for catenary;
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applications. The topics discussed in the book include electrochemical detection of DNA hybridization based on latex/gold nanoparticle and nanotube;
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Smartphone usage has created a new means for detection, analysis, diagnosis and monitoring through the use of new apps and attachments;
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-Cas 12-based assays for the detection of SARS-CoV-2 using RNA extracted from patients. Lastly it discusses the use of miniaturized biosensors;
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The book reports two approaches of implementation of the essential components of a Digital Phase Locked Loop based system for dealing with;
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invaluable resource for researchers, especially those who are engaged in the fields including target detection based on a laser imaging system;
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invaluable resource for researchers, especially those who are engaged in the fields including target detection based on a laser imaging system;
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. We further present a CNN-based method for automatic facial feature detection. The proposed system employs a hierarchical procedure which;
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for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who;
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for automatically detecting faults occurring in bearings; fault detection and diagnosis with statistical and soft computing methods and;
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This book offers first a short introduction to advanced supervision, fault detection and diagnosis methods. It then describes model-based;
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Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes;
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-adaptive expert systems for process monitoring and fault detection. The final chapter provides a review of an integrated Fault Detection and;
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protocols for rapid diagnosis of diseases based on biological, physical, chemical and molecular properties. It contains methods for the selection;
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protocols for rapid diagnosis of diseases based on biological, physical, chemical and molecular properties. It contains methods for the selection;
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detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering;
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