Towards haptic intelligence in robots by learning from demonstration by Turlapati Sri Harsha

“…In the first part of this thesis, we build on this latter idea of performing haptic exploration of surfaces with a focus on extracting the geometry of fine features. We propose a novel quantity, haptic mismatch that identifies and refines missing geometric features based on the discrepancy in force feedback from actual interactions with an object. …”
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Investigation on the role of Sb doping on grain growth and properties of solution-processed CuIn(S,Se)2 by Ho, John Chun Wan

“…The resultant film is dense and uniform but has very fine grains which are detrimental to carrier transport. …”
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Interface engineering for organic−inorganic hybrid perovskite solar cells by Foo, Shini

“…Owing to ionic and soft bonding characteristics of OIHP materials, defects such as under−coordinated ions and dangling bonds tend to concentrate at the OIHP/HTL interface. …”
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Stability improvement and control optimization of isolated two-stage AC-DC-DC converter systems by Feng, Fan

“…The analysis results offer instructive implications to fine-tune the design rules of the DAB converters. …”
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Enhancing tensile and fatigue properties of additively manufactured alloys by post-processing heat treatment by Radhakrishnan, Jayaraj

“…LB-PBF process results in a fine hierarchical microstructure which can impart a simultaneous enhancement of strength and fracture toughness. …”
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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…Thus, the strategies to assist future adaption planning and risk mitigation during extreme flood events need to be developed based on the predicted future climate conditions. Fine spatial and temporal resolutions in climate data are needed to simulate the change in future flood events and to study the climate change impact on hydrology. …”
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Graph representation learning by Zhang, Xinyi

“…Besides different techniques used in graph representation learning, according to the fineness of the objects for embedding, the graph representation learning methods can be mainly divided into node-level, edge-level, and graph-level representation learning methods. …”
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Tsewang Norbu NGB by Cantwell, C, Mayer, R

“…Of all the surviving editions, the Rig 'dzin Tshe dbang nor bu edition is the most lavishly produced, manufactured from good materials, finely decorated, and illustrated with many high quality hand-painted miniatures. …”