Controlling the Porosity and Microarchitecture of Hydrogels for Tissue Engineering by Annabi, Nasim, Nichol, Jason W., Zong, Xia, Ji, Chengdong, Koshy, Sandeep Tharian, Khademhosseini, Ali, Dehghani, Fariba

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Event detection in spatiotemporal soccer data using neural networks by Wilbert

“…This project implements and evaluates three-layer and four-layer artificial neural networks (ANN(3) and ANN(4)) as well as recurrent neural networks (RNNs) for automatic event detection in spatiotemporal soccer data. …”
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Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

“…In this work, we proposed a physics-guided neural network (PGNN) for tissue optical properties regression which integrates physics prior and constraint into the artificial neural network (ANN) model. With this method, we have demonstrated superior generalizability of PGNN compared to its pure ANN counterpart. …”
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Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

“…Two different models of Artificial Neural Network(ANN), namely Backpropagation(BP) model and Radial Basis Function(RBF) model, are constructed and evaluated. …”
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Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Seismic behavior of interior concretebeam-column joints with non-seismic and limited seismic detailing by Li, Qingyuan.

“…Column main bars lap spliced within plastic hinge regions were detrimental. The beams and columns were not severely damaged while shear failure formed in the joints. …”
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Design, fabrication, evaluation of low-speed UAV wing flap actuated with shape memory alloy by Seow, Aik Khiam

“…It is then followed by design, fabrication and actuation tests for two concepts, namely the shim-based version and hinge-based version. Flexible skins, a key requirement to smooth camber change, are also explored and experimented. …”
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Examining IoT-based smart campus adoption model: an investigation using two-stage analysis comprising structural equation modelling and artificial neural network by Sneesl, Radhwan, Jusoh, Yusmadi Yah, A. Jabar, Marzanah, Abdullah, Salfarina

“…In particular, the model demonstrates satisfactory predictive relevance, indicating its effectiveness in making accurate predictions or forecasts. The ANN analysis suggests that the model has predictive capabilities. …”
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Assessment of IoT-driven predictive maintenance strategies for Computed Tomography equipment: a machine learning approach by Mohd Azrul Shazril, Mohammad Habib Shah Ershad, Mashohor, Syamsiah, Amran, Mohd Effendi, Hafiz, Nur Fatinah, Ali, Azizi Mohd, Naseri, Mohd Saiful, Rasid, Mohd Fadlee A.

“…The ANN model achieved an impressive prediction accuracy of 97.58%, proving its relibility in forecasting breakdowns. …”
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Data-driven analysis in building energy consumption by Poh, Shih Gee

“…The prediction results from the ANN model show a coefficient of determination value, R2 , for SiteEU, SiteEUI and Total GHG Emissions to be 1.0, 0.87 and 0.3 respectively. …”
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Research of modeling and optimization approaches for hybrid ejector-based air conditioning cycle by Wang, Hao

“…The ANN model is then combined with an exhaustive search algorithm to locate the system optimal set points under variant cooling capacities requirement. …”
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

“…Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. …”

The psychosocial environment as therapeutic context: family-centered approaches to adolescent psychedelic research by Jacobs, E, Insua-Summerhays, B

Perceptual distortion analysis for images by Dong, Li

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Electrospun fibres with hyaluronic acid-chitosan nanoparticles produced by a portable device by Fuenteslópez, CV, Ye, H

Decolonising the angels in the ecosystem : Orlando as Virginia Woolf’s ecofeminist vision of Utopia by Wong, Wen Pu

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High-consequence infectious diseases, bioterrorism, and the imperative for international and US biosecurity and biosafety frameworks for biocontainment clinical laboratories by Madad, S, Jacobson, JL, Caruso, RR, Dunning, J

Structural behaviour of 2D post-tensioned precast beam-column sub-assemblages subjected to column loss scenario by Tran, Manh Ha, Tan, Kang Hai

“…The test results indicated that both unbonded and bonded parabolic-shaped PT significantly enhanced compressive arch action (CAA) and catenary action (CA) beyond basic flexural capacity, and also changed the plastic hinge mechanism in the precast beams. The specimen with unbonded PT could provide greater residual capacity than bonded PT, but the former was severely damaged by fracture of normal reinforcement and crushing of concrete rather than fracture of the tendon. …”
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Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

“…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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Longitudinal associations of clinical and biochemical head injury biomarkers with head impact exposure in adolescent football players by Zuidema, Taylor R., Bazarian, Jeffrey J., Kercher, Kyle A., Mannix, Rebekah, Kraft, Reuben H., Newman, Sharlene D., Ejima, Keisuke, Rettke, Devin J., Macy, Jonathan T., Steinfeldt, Jesse A., Kawata, Keisuke

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