Future reservoir performance projection using integrated models in the framework of climate change by Hamidon, Nuramidah

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The Rise and Fall of the Ideal City by Scarso, Jacek Ludwig

“…Curated by Jacek Ludwig Scarso with Luisa Bravo and Anna Marazuela Kim. The Renaissance concept of the Ideal City is here a provocation to critically explore the ideological connotations of the urban context and the need for social change, locally and globally. …”
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Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis by Patil, C, Theotokatos, G, Wu, Y, Lyons, T

“…A parametric study is performed to quantify the logS number impact on the ANN regression models accuracy and training time. …”

AB078. Patterns of treatment delay in patients with symptomatic metastatic epidural spinal cord compression by Hui, Si Jian, Kumar, Naresh, Tan, Cherie Lin Hui, Chua, Eugene Khye Gin, Hallinan, James Thomas Patrick Decourcy, Chan, Yiong Huak, Sree, Karuna, Tan, Jiong Hao

“…Delays in treatment were identified and categorized into patient delay (onset of symptoms till initial medical consultation), diagnostic delay (medical consultation till radiological diagnosis of MESCC), referral delay (from diagnosis till spine surgeon review) and surgical delay (from spine surgeon review till surgery) and compared between patients. …”
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Telephone conversation openings across languages, cultures and settings by Marquez Reiter, R., Kang, Luke Kwong Kapathy

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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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Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…Consequently, in the standard complex case (Exij2 = 0), combing this universality property and the results known for Gaussian matrices obtained by El Karoui in [Ann. Probab. 35 (2007) 663-714] (nonsingular case) and Onatski in [Ann. …”
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Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Security enhancement for domain name system in the internet by Narayanan Arjun

“…Domain Name System (DNS) can be referred as the spine of today’s Internet world. This system is completely responsible for providing an architecture that helps in resolving millions of domain names existing throughout the world to a unique IP address, enabling the users to access the domains from anywhere on the planet. …”
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Investigating viral glycosylation pathways for drug and vaccine development by Brun, J

“…Chapter 4 focuses on the site-specific glycosylation occupancy, and N- and O-glycan structures attached to virion derived SARS-CoV-2 spike glycoproteins. This glycan signature was compared to a stabilised prefusion trimeric spike, to a monomeric subunit of spike (S1) and to an antigen of a non-stabilised vaccine candidate, revealing subunit shedding of the S1 glycoprotein for the vaccine candidate. …”

Comparative effects of domain-specific human monoclonal antibodies against LGI1 on neuronal excitability by Sell, J, Rahmati, V, Kempfer, M, Irani, SR, Ritzau-Jost, A, Hallermann, S, Geis, C

“…However, only the LRR-specific mAbs increased the number of action potential firing together with enhanced initial instantaneous frequency and promoted spike-frequency adaptation, which were less pronounced after the EPTP mAb. …”

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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Design of an exoskeleton for lifting by Lim, Ernest Zhen Xuan

“…Lower back injuries, caused by muscle strain around the lumber spine, are common in work involving manual labour. …”
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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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Multiscale topological indices for the quantitative prediction of SARS CoV-2 binding affinity change upon mutations by Bi, Jialin, Wee, JunJie, Liu, Xiang, Qu, Cunquan, Wang, Guanghui, Xia, Kelin

“…Biologically, protein-protein interactions between SARS-CoV-2 surface spike (S) protein and human ACE2 protein are the key mechanism behind the COVID-19 disease. …”
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