Net section fracture of aluminium alloy angle-to-plate connections: testing, modelling and design by Jiang, Ke, Li, Shuai, Guo, Tong, Liang, Yating, Zhao, Ou

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Local-flexural interactive buckling of S690 high strength steel slender welded I-section columns: testing, modelling and design by Sun, Yao, Liang, Yating, Su, Andi, Zhao, Ou

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Modelling and Design of a Synergy-based Actuator for a Tendon-driven Soft Robotic Glove by Xiloyannis, Michele, Cappello, Leonardo, Khanh, Dinh Binh, Yen, Shih-Cheng, Masia, Lorenzo

“…In this paper we present the design and modelling of a tendon-driving unit that empowers a wearable, soft glove. …”
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New method for automatic generation of patient specific finite element models of the distal femur by Lek, Cheah Wen.

“…Most commercial AMG programs are accurate enough for biomechanical studies but these programs require computer-aided design (CAD) tools to first define the geometry. A new algorithm to automatically generate patient-specific FE models of human femur directly from magnetic resonance imaging (MRI) data is presented. …”
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Modelling and optimization of micro optofluidic lenses by Song, Chaolong, Nguyen, Nam-Trung, Tan, Say-Hwa, Asundi, Anand Krishna

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Multiple testing for signal-agnostic searches for new physics with machine learning by Grosso, Gaia, Letizia, Marco

“…Specifically, we consider hypothesis tests relying on machine learning, where model selection can introduce a bias towards specific families of new physics signals. …”
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Pharmaceutical clinical trial supply chain : modelling and analysis by Tan, Dennis Wei Jie

“…To resolve these issues, many industries are working on the simulation modelling of clinical trial supply chain optimization in terms of increasing flexibility, reducing lead times and maintaining supply demands by changing trial designs, improving production efficiency and simulating demand scenario forecast. …”
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Mathematical model for a new refrigeration compressor by Wibawa, Hutama Satria

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Advancing cyber incident timeline analysis through retrieval-augmented generation and large language models by Loumachi, Fatma Yasmine, Ghanem, Mohamed Chahine, Ferrag, Mohamed Amine

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Creative Research : The Theory and Practice of Research for the Creative Industries / by Collins, Hilary (Hilary J.), author 656091

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Valley-layer coupling : a new design principle for valleytronics by Yu, Zhi-Ming, Guan, Shan, Sheng, Xian-Lei, Gao, Weibo, Yang, Shengyuan A.

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Modelling familiarity : towards age-friendly exergame design by Zhang, Hao

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Evolving storytelling: benchmarks and methods for new character customization with diffusion models by Wang, Xiyu, Wang, Yufei, Tsutsui, Satoshi, Lin, Weisi, Wen, Bihan, Kot, Alex Chichung

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Manifold regularized stochastic block model by He, Tiantian, Bai, Lu, Ong, Yew-Soon

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An additive manufacturing process model for product family design by Lei, Ningrong, Yao, Xiling, Moon, Seung Ki, Bi, Guijun

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Clustering of designers based on building information modeling event logs by Pan, Yue, Zhang, Limao, Skibniewski, Miroslaw J.

“…A network-enabled event log mining approach is proposed for a deep understanding of the Building Information Modeling (BIM)-based collaborative design work. It proposes a novel algorithm termed node2vec-GMM combining a graph embedding algorithm named node2vec and a clustering method named Gaussian mixture model (GMM) to cluster designers within a network into several subgroups, and then makes cluster analysis. …”
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Proposing an instructional system design model for a railway track training by Low, Khai Chong.

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Automatic metric 3D surface mesh generation using subdivision surface geometrical model. Part 1 : construction of underlying geometrical model by Lee, Chi King

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Automated patent extraction powers generative modeling in focused chemical spaces by Subramanian, Akshay, P. Greenman, Kevin, Gervaix, Alexis, Yang, Tzuhsiung, Gómez-Bombarelli, Rafael

“…Deep generative models have emerged as an exciting avenue for inverse molecular design, with progress coming from the interplay between training algorithms and molecular representations. …”
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Proactive chatbot framework based on the PS2CLH model: an AI-Deep Learning chatbot assistant for students by Arlindo, Almada, Qicheng, Yu, Preeti, Patel

“…The new chatbot framework uses knowledge from the PS2CLH model and AI - DL to build a proactive chatbot for assisting students’ learning on their academic subjects and controllable learning factors. …”
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