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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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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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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Modeling distance-dependent individual head-related transfer functions in the horizontal plane using frontal projection headphones by Sunder, Kaushik, Gan, Woon-Seng, Tan, Ee-Leng

“…Soc. 61, 989–1000] project the sound directly onto the pinnae from the front, and thus inherently create listener's idiosyncratic pinna cues at the eardrum. …”
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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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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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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. …”

LIKU-LIKU PERTEMUAN BALING / by Nor Ibrahim Sulaiman, author 645421

“…Tunku tidak akan mengiktiraf Parti Komunis Malaya (PKM) dan bertegas supaya parti tersebut dibubarkan serta pengganas komunis menyerah diri, namun pendirian Chin Peng sebaliknya. Kegagalan pertemuan ini membawa kemerdekaan Persekutuan Tanah Melayu, manakala Chin Peng dan gerilanya terus menjadi buruan pasukan keselamatan.…”

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

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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