Breast cancer susceptibility : accessing newly discovered SNPs by Loh, Eunice Ting Wei

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Are privately owned shipping companies more succesful than public listed ones? by Zhang, Allen Tongren

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CRISPR-Cas9-mediated gene editing of MYB28 genes impair glucoraphanin accumulation of Brassica oleracea in the field by Neequaye, M, Stavnstrup, S, Harwood, W, Lawrenson, T, Hundleby, P, Irwin, J, Troncoso-Rey, P, Saha, S, Traka, MH, Mithen, R, Ostergaard, L

A 1-bit 16×16 reconfigurable intelligent surfaces array for C-band by Zhang, Yucheng

“…RIS array is achieved by combining a number of basic elements together with PIN diodes which control the on and off state of RIS units. …”
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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…Physics-informed neural networks (PINN) are an artificial neural network (ANN) approach for solving differential equations. …”
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Rapid volumetric additive manufacturing in solid state: a demonstration to produce water-content-dependent cooling/heating/water-responsive shape memory hydrogels by Salvekar, Abhijit Vijay, Faqrul Hasif Bin Abdul Nasir, Chen, Ya Hui, Maiti, Sharanya, Ranjan, Vivek Damodar, Chen, Hong Mei, Wang, Han, Huang, Wei Min

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Traffic monitoring and analysis via street footage by Chew, Darren Wen Cong

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How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation by Samadhiya, Ashutosh, Naz, Farheen, Kumar, Anil, Garza-Reyes, Jose Arturo, Luthra, Sunil

“…Design/methodology/approach: The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM, and SM. …”
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Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks by Rajak, Upendra, Panchal, Manoj, Dasore, Abhishek, Verma, Tikendra Nath, Chaurasiya, Prem Kumar

“…In this study, the result of varying fuel injection timings on the performance, ignition, and exhaust parameters of a research engine with single-cylinder, four-stroke with direct injection (DI) diesel was experimentally investigated and optimised using artificial neural networks (ANN). The results demonstrated that a 20% fuel blend with 24.5° before top dead centre (b TDC) decreased brake thermal efficiency (BTE), NOx emissions, and exhaust cylinder temperature but improved fuel consumption, carbon dioxide emissions (CDE), and smoke emissions. …”

Roof politics: the materiality of interpellation by Wendel, Delia Duong Ba

“…The initiative was ostensibly one of shelter modernisation, but rather more embedded in post-genocide nation and peace building. The paper considers Louis Althusser’s concept of ‘interpellation’ as a useful framework for understanding how the Rwandan government established relationships between architectural aesthetics, sovereignty, and peace. …”
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The uncertain promise of economic interdependence : a comparative case study of Europe and East Asia. by Tan, Swee Bock.

“…This thesis seeks to examine if economic interdependence is a necessary and sufficient condition for peace, and if not, what other factors could be more important. …”
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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…In Chapter 5, another type of MPPT technique, a hybrid MPPT which combines an artificial neural network (ANN)-based MPPT and a conventional MPPT, is proposed for PV systems operating under conditions with rapid irradiance change. …”
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Development of engineering tools and design guidelines for FRP strengthened RC walls subject to near field blast loading by Fung, Tat Ching, Tan, Kang Hai, Werner Riedel, Yu, Qingjun, Del Linz, Paolo, Li, Gen, Tu, Huan

“…In this report D5, as a supplement, some additional cases of CFRP strengthened RC walls by uncased charge have also been studied for ANN analysis. Moreover, additional cases of CFRP strengthened RC walls using the large cased charge, denote as “device B”, have been studied. …”
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A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing by Zhan, Zhixin, Li, Hua

“…After that, the two commonly-used ML models including artificial neural network (ANN) and random forest (RF) are implemented to carry out fatigue life prediction. …”
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Highly precise modelling of resonant coils based on deep neural networks for wireless power transfer systems by Li, Zhaokun

“…Additionally, considering the data-fitting characteristics of AI algorithms, ANN and transfer learning is chosen to combine theoretical calculation data, FEA simulation data, and experimental measurement data, yielding a more accurate calculation model. …”
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Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays by Jiang, Lian Lian., Maskell, Douglas L., Patra, Jagdish C.

“…There are two basic approaches to build a model - use an analytical modeling technique or use an Artificial Neural Network (ANN) based method. However, both the analytical modeling technique and the traditional Multilayer Perceptron (MLP) model have some disadvantages. …”
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Robustness in stochastic filtering and maximum likelihood estimation for SDEs by Diehl, J, Friz, PK, Mai, H, Oberhauser, H, Riedel, S, Stannat, W

“…Our contribution (Crisan et al., Ann Appl Probab 23(5):2139–2160, 2013); Diehl et al., A Levy-area between Brownian motion and rough paths with applications to robust non-linear filtering and RPDEs (2013, arXiv:1301.3799; Diehl et al., Pathwise stability of likelihood estimators for diffusions via rough paths (2013, arXiv:1311.1061) changed to yes, in other words: well-posedness is restored, provided one is willing or able to regard observations as rough paths in the sense of T. …”

Influence of psychological and personal factors on predicting individual's thermal comfort in an office building using linear estimation and machine learning model by Muhammad Nafiz, Muhammad Nafiz, Shaikh Salim, Sheikh Ahmad Zaki, Nadarajah, Pravin Diliban, Singh, Manoj Kumar

“…For ML, training and evaluation have been done for five ML models: Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbour (KNN). …”

Optimized core design of a supercritical carbon dioxide-cooled fast reactor by Handwerk, Christopher S. (Christopher Stanley), 1974-

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Impact of pyridyl moieties on the inhibitory properties of prominent acyclic metal chelators against metallo-β-lactamase-producing Enterobacteriaceae : investigating the molecular... by Sosibo, Sphelele C., Somboro, Anou M., Amoako, Daniel G., Osei Sekyere, John, Bester, Linda A., Ngila, Jane C., Sun, Darren Delai, Kumalo, Hezekiel M.

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