On-surface stereochemical characterization of a highly curved chiral nanographene by noncontact atomic force microscopy and scanning tunneling microscopy by Zhong, Qigang, Barát, Viktor, Csókás, Dániel, Niu, Kaifeng, Górecki, Marcin, Ghosh, Animesh, Björk, Jonas, Ebeling, Daniel, Chi, Lifeng, Schirmeisen, André, Stuparu, Mihaiela Corina

“…The molecule appears to be shaped like a propeller in which the concave side of the bowls face away from the connected [5]helicene motif. …”
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Bacteriological studies for Kranji catchment by Lee, Li Jun.

“…Results from this study found that the water quality in certain location of Peng Siang sub-catchment was close to that typical for raw sewage. …”
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Telephone conversation openings across languages, cultures and settings by Marquez Reiter, R., Kang, Luke Kwong Kapathy

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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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Catalytic asymmetric diarylphosphine addition to α-diazoesters for the synthesis of P-stereogenic phosphinates via P*-N bond formation by Balázs, László B., Huang, Yinhua, Khalikuzzaman, Jasmina B., Li, Yongxin, Pullarkat, Sumod A., Leung, Pak-Hing

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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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Graph neural network in recommender systems by Koh, Yi Kun

“…The reason why Graph Neural Networks (GNNs) have become popular in these systems is because they are well-suited to handle the graph-like nature of the data and are superior in learning graph representations. …”
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Energy storage capacity & allocation in Singapore power system for PV penetration by Liu, Xiaohan

“…Such naturally replenished energy sources like hydropower, solar power, wind power, and biofuels are examples of renewable energy resources. …”
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Two-phase immersion cooling for power dense printed circuit board converters by Ristic-Smith, A

“…A theoretical model and numerical solution method for boiling on pin fins is developed and used to design heat spreaders to increase the power dissipation per unit semiconductor area with minimal penalty on the converter volume. …”

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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Development of a counter-UAV system by Tang, Wen Yue

“…Upon testing, the firing pin mechanism was found to be unable to reliably puncture the CO2 canister, even after improvements. …”
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Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Lessons from a retrospective look at India’s upstream sector by Elango, P

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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CMOS friendly electrode material screening for HfOx-based RRAM by Yan, Haiping

“…During this project, after reviewing the literature of RRAM device’s switching behaviour and driving mechanisms, three wafer groups of HfOx based RRAM devices with CMOS friendly electrode materials (like Ti, TiN, Al, Ni, etc) have been tested for analysis and comparisons. …”
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Design and fabrication of voltage and current sensor boards for the medium voltage converter by Wee, Zhi Yuan

“…In this report, we have discussed AC/DC converters, Cascaded H-bridge multilevel inverter, several high-power electronics components like power diode, thyristor (SCR), gate turn-off thyristor (GTO) and the insulated gate bipolar transistor (IGBT) used in the power converters. …”
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A paper-based glucose sensoring microneedle patch by Zheng, Shu

“…By diagnose this index can detect many diseases like diabetes. However, the current most methods of clinical analysis of the glucose level need to pierce skin to take blood sample or takes a long time to analyze which will cause skin infection and uncomfortable of patients. …”
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