Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by Muhammad Zikri, Japri, Mohd Shahrir, Mohd Sani, Mohd Fadzil Faisae, Ab Rashid, Muriban, Jackly, Galang Sandy, Prayogo

“…The average error for the ANN-GA model was 1.03%, significantly less than the 1.82% average error found with the RSM model. …”
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Data-driven power system stability assessment by Kang, Hongyu

“…Through experiments and data results visualization, the accuracy of DT is obtained as 0.9953, SVM as 0.9967 and ANN as 0.9968. Meanwhile, the ROC and AUC curves of ANN and SVM are close to the upper-left intersection, which proves that the model achievement is good. …”
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Dealing with confounders in omics analysis by Goh, Wilson Wen Bin, Wong, Limsoon

“…The Anna Karenina effect is a manifestation of the theory-practice gap that exists when theoretical statistics are applied on real-world data. …”
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Characterization of oil palm fruitlets using artificial neural network by Olukayode, Ojo Adedayo

“…The LSB_ANN has a unique weight update mechanism which employs network layer input-output sensitivity analysis. …”
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Towards Synergistic Understanding of Language Processing in Biological and Artificial Systems by Hosseini Asl, Eghbal

“…How does the amount of training data affect convergence between the human brain and ANN language models? 3. What computational mechanisms could underlie similarities in language processing between human brains and ANN language models? …”
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A comparative analysis of missing data imputation techniques on sedimentation data by Loh, Wing Son, Ling, Lloyd, Chin, Ren Jie, Lai, Sai Hin, Loo, Kar Kuan, Seah, Choon Sen

“…The imputation performance ranking is as follows: ANN, SVR, MR, and k-NN.…”
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Selecting correct methods to extract fuzzy rules from artificial neural network by Tan, Xiao, Zhou, Yuan, Ding, Zuohua, Liu, Yang

“…Artificial neural network (ANN) inherently cannot explain in a comprehensible form how a given decision or output is generated, which limits its extensive use. …”
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Genetic algorithm LQG and neural network controllers for gust response alleviation of flying wing unmanned aerial vehicles by Ang, Elijah Hao Wei, Ng, Bing Feng

“…In this paper, a genetic algorithm linear quadratic Gaussian controller (GA-LQG) and an artificial neural network (ANN) controller are implemented for gust response alleviation of lightweight flying wings undergoing body-freedom oscillations. …”
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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

“…An Artificial Neural Network (ANN) model is implemented to predict penetration outcomes of UAV impacts, while an ANN-Convolutional Neural Network (CNN) model is used to predict FEA deformation images resulting from these impacts. …”
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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. …”

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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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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