Textile Macroelectronics: Architecting Sensate and Computational Fabrics across Scales by Wicaksono, Irmandy

“…In the first part of the dissertation, I present several methods, artifacts, and implementations of sensate textiles using functional fibers and digital machine knitting. …”
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Fabrication and characterization of Algan/Gan high electron mobility transistors on silicon by Tham, Wai Hoe

“…Therefore, the current experimental studies suggest that the Ge doping approach is more suitable as a VTH tuning method. Although the fabrication cost of GaN-based devices can be reduced significantly through the incorporation with Si technology, there are several challenges which impede the incorporation of GaN-based devices with Si technology. …”
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Investigating protein adsorption at solid-liquid interfaces towards the development of functional biomaterial coatings by Park, Jae Hyeon

“…While most of the experimental layouts are in reference to past studies, the methods were reinforced with modern techniques, and speculations were minimized through data verification via complimentary pairing of analytical devices. …”
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Synthesis and optical study of lead halide perovskites for opto-electronic applications by Ha, Son Tung

“…In the early day of perovskite research, the most conventional method to prepare sample is via either spin-coating or thermal evaporation method. …”
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Online Measurement for Parameter Discovery in Fused Filament Fabrication by Read, Jake Robert, Seppala, Jonathan E., Tourlomousis, Filippos, Warren, James A., Bakker, Nicole, Gershenfeld, Neil

“…To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. …”
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Constructing 3D self-supporting surfaces with isotropic stress using 4D minimal hypersurfaces of revolution by Ma, Long, He, Ying, Sun, Qian, Zhou, Yuanfeng, Zhang, Caiming, Wang, Wenping

“…In contrast, our method works on piecewise linear surfaces with continuous material. …”
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Revealing Structural and Spin-state Dependent Reactivity of Single Atom Catalysts (SACs) with Systematically Improvable Computational Tools by Jia, Haojun (贾皓钧)

“…This thesis presents a combined effort utilizing computational methods to explore the design and optimization of SACs for methane-to-methanol conversion and the ORR. …”
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Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry by Ortiz, Walter Frank Pintor

“…Creating a system capable of producing surface with mirror finish quality is the strategy to be developed in this project. Thanks to methods developed previously for designing experiments, such as the Taguchi method, working parameters are encountered and tuned. …”
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Scene illumination classification based on histogram quartering of CIE-Y component by Hesamian, Mohammad Hesam

“…Despite the rapidly expanding research into various aspects of illumination estimation methods, there are limited number of studies addressing illumination classification for different purposes. …”
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Conversion from carbon nanotubes to boron nitride nanotubes and boron nitride-carbon nanotubes by Wei, Mingwei

“…Lastly, the optical bandgap of converted boron nitride-carbon nanotubes has successfully been tuned. This work thus demonstrates a simple synthesis method to explore the combination of both CNTs as well as BNNTs and will be of great interest to many in the field.…”
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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…Secondly, current domain adaptation methods require careful manual hyper-parameter tuning, which is not realistic for unmanned systems such as smart cars. …”
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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…This method with two countries, Spain and Bangladesh, is seen to achieve the best performance amongst all the combinations as well as compared to other traditional regression models.…”
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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…The proposed method eliminates the requirement for users to manually tune the control parameters of the differential evolutionary algorithms and offers better accuracy of the extracted parameters. …”
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Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

“…To enhance the robustness of the system, a variant codebook method had been created to be used in skin segmentation. …”
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Deep learning for fabric defect detection by Nangia, Saniya

“…In this study, a modified StackBox ensemble method is implemented. The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times by Majumder, Arindam, Laha, Dipak, Suganthan, Ponnuthurai Nagaratnam

“…In this paper, we propose an improved discrete bacterial foraging algorithm to determine the optimal sequence of parts and robot moves in order to minimize the cycle time for the 2-machine robotic cell scheduling problem with sequence-dependent setup times. We present a method to convert the solutions from continuous to discrete form. …”
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Scaling up parametric human recovery by Cai, Zhongang

“…A critical challenge in achieving this is the prohibitive cost of acquiring large-scale, diverse datasets, which limits the accuracy and generalizability of state-of-the-art methods. To overcome this, the thesis presents a cohesive series of innovative studies aimed at resolving data scarcity. …”
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Learning class-specific edges for object detection and segmentation by Prasad, M, Zisserman, A, Fitzgibbon, A, Kumar, MP, Torr, PHS

“…This classifier may then be used to prune edges which are not relevant to the object class, and thereby improve the performance of subsequent processing. …”

Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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A detailed full-order discrete-time modeling and stability prediction of the single-phase dual active bridge DC-DC converter by Iqbal, Mohammad Tauquir, Maswood, Ali Iftekhar, Tariq, Mohd, Iqbal, Atif, Verma, Vimlesh, Urooj, Shabana

“…Therefore, the conventional method is not suitable for resonant converters, including the phase-shifted bidirectional dual active bridge (PSBDAB) converter. …”
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