Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

China --- Social conditions. --- Social policy.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Biomedical imaging is the key technique and process to create informative images of the human body or other organic structures for clinical purposes or medical science. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages of, for instance, miniaturization, high speed, higher resolution, and convenience of batch fabrication. There are many advancements and breakthroughs developing in the academic community, and there are a few challenges raised accordingly upon the designs, structures, fabrication, integration, and applications of MEMS for all kinds of biomedical imaging. This Special Issue aims to collate and showcase research papers, short commutations, perspectives, and insightful review articles from esteemed colleagues that demonstrate: (1) original works on the topic of MEMS components or devices based on various kinds of mechanisms for biomedical imaging; and (2) new developments and potentials of applying MEMS technology of any kind in biomedical imaging. The objective of this special session is to provide insightful information regarding the technological advancements for the researchers in the community.

micromachining --- n/a --- capacitive micromachined ultrasonic transducer (CMUT) --- transducer --- gold nanoparticles --- cantilever waveguide --- push-pull actuator --- MEMS mirror --- chemo-FET --- ultrahigh frequency ultrasonic transducer --- fluorescence --- lead-free piezoelectric materials --- acoustics --- bioimaging --- scanner --- micro-optics --- MEMS --- microendoscopy --- ego-motion estimation --- rib waveguide --- electromagnetically-driven --- two-photon --- Lissajous scanning --- fabrication --- microwave resonator --- finite element simulation --- noise figure --- imaging --- modelling --- Si lens --- microwave remote sensing --- piezoelectric array --- smart hydrogels --- bio-FET --- surface micromachining --- tilted microcoil --- near-field microwave --- electrochemical sensors --- potentiometric sensor --- photoacoustic imaging --- micromachined US transducer --- electrostatic actuator --- polyimide capillary --- high frequency ultrasonic transducer --- microring resonator --- ultrasonic transducer --- ultrasonic imaging --- indoor navigation --- optical scanner --- scale ambiguity --- bio-sensors --- non-resonating scanner --- wide-filed imaging --- confocal --- acoustic delay line --- tight focus --- miniaturized microscope --- monocular camera --- low noise amplifier (LNA) --- in vivo --- capacitive --- high spatial resolution --- sensing --- microelectromechanical systems (MEMS) --- needle-type --- display --- pseudo-resonant --- MEMS actuators --- microtechnology --- metal oxide field-effect transistor --- transduction techniques --- MEMS scanning mirror --- 3D Printing --- photoacoustic --- chemo-sensor --- in vitro --- wearable sensors

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference. .

Computational complexity. --- Engineering—Data processing. --- Computational intelligence. --- Statistical physics. --- Probabilities. --- Complexity. --- Data Engineering. --- Computational Intelligence. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Physics --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Complexity, Computational --- Electronic data processing --- Machine theory --- Statistical methods --- Stochastic control theory. --- Control theory --- Stochastic processes --- Dynamics. --- Nonlinear theories. --- Engineering --- Nonlinear Optics. --- Stochastic analysis. --- Applied Dynamical Systems. --- Stochastic Analysis. --- Data processing. --- Analysis, Stochastic --- Mathematical analysis --- Optics, Nonlinear --- Optics --- Lasers --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical physics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Knowledge economy --- Information technology