Acoustic resolution photoacoustic microscopy imaging enhancement: learning based and model based approaches by Zhang, Zhengyuan

“…Deep learning algorithms have been proposed as first solution, leveraging synthetic training data to reconstruct PAM images, enhancing resolution and reducing noise. …”
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Development of vision-based terrain recognition method for lower limb exoskeleton for outdoor environments by Gupta, Paluk

“…Finally, the report concludes with examining different shaped obstacles and the algorithm’s accuracy in classifying them with the goal to improve the model by training it on obstacles with different characteristics. …”
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Learning-based robot navigation in dynamic environments: from indoor scenes to human crowd scenes by Jiang, Haoge

“…Our extensive studies show that in comparison to the state-of-the-art DRL model TD3, our model is with remarkable improvements in training efficiency, accumulated reward, and generalization performance in unseen environments. …”
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The role of post-pyrolysis carbon dioxide capture in hydrogen recovery from waste-derived pyrolysis gas by Wang, Yuxin, Veksha, Andrei, Ong, Joel, Ueki, Yasuaki, Yoshiie, Ryo, Naruse, Ichiro, Lisak, Grzegorz

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Role of ex-situ HfO2 passivation to improve device performance and suppress X-ray-induced degradation characteristics of in-situ Si3N4/AlN/GaN MIS-HEMTs by Dalapati, Pradip, Li, Hanchao, Arulkumaran, Subramaniam, Ng, Geok Ing

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Human detection and tracking in surveillance videos by Wang, Bing

“…The thesis addresses the following challenging problems of detecting and tracking humans in the presence of occlusions in typical surveillance videos: (1) adaptation of semantic-part-based human detectors to new surveillance video sequence when trained detectors using other video data not performing well on the new video data; (2) tracking of humans with person identification minimizing identification errors over longer tracking periods; and (3) hierarchical spatial and temporal analysis for discriminative tracking of human targets. …”
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End point detection of weld seam removal in robotic abrasive belt grinding process based on computer vision and deep learning by Murugan, Pushparaja

“…Images are acquired by using digital camera and are used for training the developed framework. Various optimization and regularization techniques are implemented for making the framework for better generalization. …”
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Fiona Patrick - Thesis submitted in partial fulfilment of the degree of Doctor of Clinical Psychology (DClinPsych) by Patrick, F

“…Recommendations from this project concern allocation of responsibility for assessments across team members, and staff training.</p> <br> <p><strong>TDRP</strong> </p><p>Overweight/obesity is associated with both physical and psychological correlates. …”

High-speed indoor MIMO visible light communications by Dong, F

“…The neural network is trained and tested with varying receiver positions, yaw rotation angles, or roll rotation angles relative to the lighting sources. …”

Category learning in infants and adults by Sucevic, J

“…Using a standard familiarisation-novelty preference procedure, infants were first presented with a set of training items, followed by the test phase in which category formation was assessed with the presentation of two items. …”

Infusing epistemic perspectives on scientific practices in science teacher education by Erduran, S, Saribas, D, Kaya, E

“…Qualitative analysis of pre-service science teachers’ perceptions of scientific practices are described and contrasted before and after the training intervention using BRH. The results indicate that in some cases there was improvement in pre-service science teachers’ depiction of scientific practices as being holistic. …”

Factors influencing career success of women managers in Malaysian public sector by Abdul Manaf, Saidatul Hizam

“…The study suggested some recommendations that women managers should be given more opportunities in developing their careers through appropriate training and exposure in different job skills which then develop their self-efficacy and sense of competence. …”
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Streamlining Organizational Processes Through AI, IoT, Blockchain, and Virtual Environments / by Hernandez Hernandez, Marisol, 1971-, editor 655965, IGI Global (Online service) 631983

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Advancements in Models and Algorithms for Management Science by Yao, Yuanfan (Evan)

“…Chapter 3 addresses the challenge of organizing a large corpus of documents into an expert-defined labeling scheme without manual annotation or labeled training examples. This work is motivated by a collaboration with a major pharmaceutical company to streamline root cause analysis of deviations in the manufacturing process. …”
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System-level design of low-carbon structures by Fang, Demi L.

“…In this framework, a machine learning model is trained on a provided set of design data to compute gradients across the design space. …”
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High cycle fatigue characterisation and modelling of 316L stainless steel processed by laser powder bed fusion by Zhang, Meng

“…Two models, by employing the processing/post-processing parameters and the static tensile properties respectively as the inputs, were developed from the training data. Despite the diverse fatigue and fracture properties, the models produced good prediction accuracy when checked against the test data. …”
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MCIBox: a toolkit for single-molecule multi-way chromatin interaction visualization and micro-domains identification by Tian, Simon Zhongyuan, Li, Guoliang, Ning, Duo, Jing, Kai, Xu, Yewen, Yang, Yang, Fullwood, Melissa Jane, Yin, Pengfei, Huang, Guangyu, Plewczynski, Dariusz, Zhai, Jixian, Dai, Ziwei, Chen, Wei, Zheng, Meizhen

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Phenotypic, physiological, and molecular response of Loropetalum chinense var. rubrum under different light quality treatments based on leaf color changes by Zhang, Yifan, Liu, Yang, Ling, Lin, Huo, Wenwen, Li, Yang, Xu, Lu, Xiang, Lili, Yang, Yujie, Xiong, Xingyao, Zhang, Donglin, Yu, Xiaoying, Li, Yanlin

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Patients, carers and healthcare providers' perspectives on a patient-owned surveillance system for diabetic foot ulcer care: a qualitative study by Lo, Joseph Zhiwen, Chong, Bryan, Tan, Elaine, Ooi, Desmond, Liew, Huiling, Hoi, Wai Han, Cho, Yuan Teng, Wu, Kyle, Surendra, Naren Kumar, Mammadova, Maleyka, Nah, Audrey, Goh, Victor, Car, Josip

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A dynamic knowledge graph approach to distributed self-driving laboratories by Bai, Jiaru, Mosbach, Sebastian, Taylor, Connor J., Karan, Dogancan, Lee, Kok Foong, Rihm, Simon D., Akroyd, Jethro, Lapkin, Alexei A., Kraft, Markus

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