STRATEGIES for BIM Implementation in the CONSTRUCTION INDUSTRY / by Nur Emma Mustaffa, editor 218491, Aimi Sara Ismail, 1992-, editor 633480, Ahmad Faiz Azizi Ahmad Fauzi, contributor 655659, Aimi Sara Ismail, 1992-, contributor 633480, Aina Qistina Khazli, contributor 655660, Ann Jillian Pohan, contributor 655669, Farah Azwanee Aminuddin, contributor 655661, Fatin Natashya Nor Azam, contributor 655662, Fuziah Ismail, contributor 415592, Hamizah Liyana Tajul Ariffin, contributor 272405, Kerk, Yee Wen, contributor 655663, Khairusy Syakirin Has-Yun Hashim, contributor 349783, Kherun Nita Ali, contributor 270710, Maisarah Ali, contributor 655664, Mohamad Shaiful Hisham Zulhizam, contributor 655665, Muhammad Hadi Mustafa, contributor 655666, Nafisah Abdul Rahiman, contributor 377234, Naqiyatul Amirah Mohd. Said, contributor 655667, Norhazren Izatie Mohd., 1988-, contributor 536790, Nur Emma Mustaffa, contributor 218491, Nurshikin Mohamad Shukery, 1981-, contributor 614883, Nursyahirah Aliya Mohamad Misdon, contributor 655668, Shamsulhadi Bandi, 1981-, contributor 633461, Siti Nurhuda Abd. Wahid, contributor 219535

AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

“…Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. …”
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Learning stock market dynamics using the kinetic ising model by Nguyen, Ai Linh

“…In this approach, the states in the time series data are represented by configurations of N spins, and the time evolution of these states in the time series data by an update rule that depends on the spin configuration {σ_i (t)}_(i=1,…,N), and the connection weights {W_ij }_(i,j=1,…N) between the spins. …”
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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

“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. …”
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Experimental Characterization of Iron-Sulfur Cluster Excited States and their Relevance to Electron Transfer Reactions by Skeel, Brighton A.

“…We find that the energy scale associated with both of these phenomena is commensurate with that of the thermal energy at ambient temperature, and that these alternate valence arrangements and spin configurations are thus relevant to understanding the room temperature reactivity of biological Fe−S systems. …”
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Compositional dependence of spintronic properties in Pt/GdCo films by Suzuki, Daniel H, Lee, Byung Hun, Beach, Geoffrey SD

“…We find a 5× increase in effective spin Hall angle with increasing Gd concentration, suggesting an improvement in spin transfer efficiency in rare earth materials. …”
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Design of RF front-end circuit blocks for low-power applications by Lim, Kok Meng

“…By incorporating a power amplifier on-chip several considerations need to be addressed, a power amplifier have high gain resulting in a huge signal swings. These signals tend to find their way to other frequency sensitive circuits such as oscillators, through certain feedback paths or substrate coupling. …”
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Narrowband Searches for Continuous and Long-duration Transient Gravitational Waves from Known Pulsars in the LIGO-Virgo Third Observing Run by Sudhir, Vivishek

“…Isolated neutron stars that are asymmetric with respect to their spin axis are possible sources of detectable continuous gravitational waves. …”
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Quantum Monte Carlo study of the phase diagram of the two-dimensional uniform electron liquid by Azadi, S, Drummond, ND, Vinko, SM

“…We present a study of spin-unpolarized and spin-polarized two-dimensional uniform electron liquids using variational and diffusion quantum Monte Carlo (VMC and DMC) methods with SlaterJastrow-backflow trial wave functions. …”

Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Home by Pei, Qianru

“…This project is a self-exploitary journey to find out where is home for me and people like me. …”
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Synthesis, structure, and magnetic properties of extended 2-D triangular lattices by Bartlett, Bart M

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Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

“…The study’s findings indicate that the SSA-ANN model performs better in predicting the dataset based on the evaluation criteria used.…”
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Spectroscopic study of emergent electronic phases in transition metal based compounds by Song, Qian

“…Our findings represent the first observation of a p-wave antiferromagnet, and open a new frontier of voltage-based switching of non-relativistic spin splitting in vdW antiferromagnets.…”
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Real time analysis of social behavior from video and kinect recordings by Ramasamy, Pandi Ramesh

“…Finally,analysis will be performed using pattern recognition algorithms and machine learning classifiers to detect the emotion of the subject.In this project,machine learning classifiers such as K-nearest neighbors,Naive Bayes and C4.5 Decision tree learning has been used. The prime aim is to pin point the most seemly machine learning classifier for obtaining highest accuracy for classification.…”
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Low-cost machine learning prediction of excited state properties of iridium-centered phosphors by Terrones, Gianmarco G, Duan, Chenru, Nandy, Aditya, Kulik, Heather J

“…Using artificial neural network (ANN) models, we predict the mean emission energy of phosphorescence, the excited state lifetime, and the emission spectral integral for iridium complexes with accuracy competitive with or superseding that of TDDFT. …”
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Dynamics of housing markets by Tay, Darrell Jiajie

“…While reviewing previous works on housing bubbles, we find that housing bubbles are often poorly defined. …”
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Modeling the evolution of a primitive supply chain. by Tay, Darrell Jiajie.

“…By allowing the system to evolve in a way postulated by the Reformulated 2nd Law of Thermodynamics (Schneider and Kay, 1994), we inspected the end state energy of the primitive supply chain for different types of evolution. We find that contrary to mature supply chains, primitive supply chains is less affected by information sharing due to a high level of symmetric information shared. …”
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Prediction of rainfall-runoff processes through black-box techniques by Lee, Liang Cen

“…Levenberg-Marquardt Backpropagation (LMBP) was used as training algorithm in ANN model. In order to generate an optimum prediction, different numbers and combinations of data were used as inputs to maximize the efficiency of ANN model. …”
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Person-centred care for dementia patients (front-end Android app) by Neo, Zhao Wei

“…Patients with this brain disease tend to exhibit symptoms of memory loss, impaired judgement, and frequent mood swings. With the ageing population in Singapore growing, the demand for more caregivers, residential care facilities and higher quality of person-centred care has been rising exponentially. …”
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