Probabilistic Deep Learning on Spheres for Weather/Climate Applications
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Adaptive neuro-fuzzy inference system (ANFIS) has been successfully used for the modelling of fatigue behaviour of a multidirectional composite laminate. The evaluation of the neuro-fuzzy model has been performed using a data base containing 257 valid fati ...
Many PET scanners nowadays have the possibility to record event-by-event information, known as list mode data. This has the advantage of keeping the data in the highest possible resolution (both temporal and spatial). In most cases, list mode data are then ...
Surgeons require significant training to acquire sufficient dexterity and hand-eye coordination to manipulate objects skillfully under the microscope. This paper presents a computer-based real-time simulation of microsurgery as well as the hardware setup. ...
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Surgeons require significant training to acquire sufficient dexterity and hand-eye coordination to manipulate objects skilfully under the microscope. This paper presents a computer-based real-time simulation of microsurgery as well as the hardware setup. I ...
Speaker direction finding techniques have aroused interests due to achieving the capability of receiving high-quality dis- tant signals. Interesting concepts can be achieved through the comparison of such techniques whereby importance is in achieving high ...
Research in artificial intelligence and bioinspired algorithms is still being actively pursued in different fields of engineering. In this work, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied for real time positioning of laborato ...
Research in artificial intelligence and bioinspired algorithms is still being actively pursued in different fields of engineering. In this work, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied for real time positioning of laborato ...
For the multi-robot coverage problem determin- istic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide provable completeness and promise good performance under perfect conditions, probabil ...
Computational models of biological systems aim at accurately simulating in vivo phenomena. They have become a very powerful tool enabling scientists to study complex behavior. A side effect of their success Unfortunately exists and is observed as an increa ...
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