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  1. 101

    Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

    Published 2024
    “…The analysis revealed that the SLR-MLR predictive algorithm better fits Malaysia's limited electricity consumption dataset compared to the existing Stacked SLR and -Support Vector Regression (SLR--SVR) and SLR-MNLR predictive algorithms. …”
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    Article
  2. 102

    Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification by Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari

    Published 2023
    “…Then, the artificial neural network (ANN) classifier with Levenberg–Marquardt (LM) training algorithm gives the highest accuracy of the classification results with 97.40%, followed by the k-nearest neighbor (KNN) with 95.83% and the support vector machine (SVM) with 83%.…”
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    Conference or Workshop Item
  3. 103

    Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables by Lu, Xinyi, Teh, Su Yean, Tay, Chai Jian, Nur Faeza, Abu Kassim, Fam, Pei Shan, Soewono, Edy

    Published 2025
    “…An ensemble of Multiple Linear Regression (MLR) model, Long Short-Term Memory (LSTM), and Susceptible-Infected mosquito vectors, Susceptible-Infected-Recovered human hosts (SI-SIR) model were used to establish a relation between climate variables (temperature, humidity, precipitation) and mosquito biting rate. …”
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    Article
  4. 104

    Computational inverse design of non-intuitive illumination patterns to maximize optical force or torque by Lee, Yoonkyung E., Miller, Owen D., Reid, McMahon Thomas Homer, Johnson, Steven G, Fang, Xuanlai

    Published 2017
    “…By developing a numerical framework for computer-automated design of 3d vector-field illumination, we demonstrate a 20-fold enhancement in optical torque per intensity over circularly polarized plane wave on a model plasmonic particle. …”
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    Article
  5. 105

    End-to-end simulation of high-contrast imaging systems: methods and results for the PICTURE mission family by Douglas, Ewan S., Hewawasam, Kuravi, Mendillo, Christopher B., Cahoy, Kerri L, Cook, Timothy A., Finn, Susanna C. Finn, Howe, Glenn A., Kuchner, Marc, J., Lewis, Nikole K., Marinan, Anne D., Mawet, Dimitri, Chakrabarti, Supriya

    Published 2017
    “…This work details the flexible approach to polychromatic, end-to-end physical optics simulations used for both the balloon vector vortex coronagraph and rocket visible nulling coronagraph missions. …”
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    Preprint
  6. 106
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  9. 109

    Search for resonant and nonresonant production of pairs of dijet resonances in proton-proton collisions at √𝑠 = 13 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J.

    Published 2023
    “…These first LHC limits on resonant pair production of dijet resonances via high mass intermediate states are applied to a signal model of diquarks that decay into pairs of vector-like quarks, excluding diquark masses below 7.6 TeV for a particular model scenario. …”
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    Article
  10. 110

    Probability-Based Design of Reinforced Rock Slopes Using Coupled FORM and Monte Carlo Methods by Low, Bak K., Boon, Chia W.

    Published 2023
    “…Other examples include the lengthy Hoek and Bray deterministic vectorial procedure for comprehensive pentahedral blocks with external load and bolt force, which is made efficient and more succinct before extending it to probability-based design via MCS-enhanced FORM. …”
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    Article
  11. 111

    50 Years of quantum chromodynamics by Gross, Franz, Klempt, Eberhard, Brodsky, Stanley J., Buras, Andrzej J., Burkert, Volker D., Heinrich, Gudrun, Jakobs, Karl, Meyer, Curtis A., Orginos, Kostas, Strickland, Michael, Stachel, Johanna, Zanderighi, Giulia, Brambilla, Nora, Braun-Munzinger, Peter, Britzger, Daniel, Capstick, Simon, Cohen, Tom, Crede, Volker, Constantinou, Martha, Davies, Christine, Del Debbio, Luigi, Denig, Achim, DeTar, Carleton, Deur, Alexandre, Dokshitzer, Yuri, Dosch, Hans Günter, Dudek, Jozef, Dunford, Monica, Epelbaum, Evgeny, Escobedo, Miguel A., Fritzsch, Harald, Fukushima, Kenji, Gambino, Paolo, Gillberg, Dag, Gottlieb, Steven, Grafstrom, Per, Grazzini, Massimiliano, Grube, Boris, Guskov, Alexey, Iijima, Toru, Ji, Xiangdong, Karsch, Frithjof, Kluth, Stefan, Kogut, John B., Krauss, Frank, Kumano, Shunzo, Leinweber, Derek, Leutwyler, Heinrich, Li, Hai-Bo, Li, Yang, Malaescu, Bogdan, Mariotti, Chiara, Maris, Pieter, Marzani, Simone, Melnitchouk, Wally, Messchendorp, Johan, Meyer, Harvey, Mitchell, Ryan Edward, Mondal, Chandan, Nerling, Frank, Neubert, Sebastian, Pappagallo, Marco, Pastore, Saori, Peláez, José R., Puckett, Andrew, Qiu, Jianwei, Rabbertz, Klaus, Ramos, Alberto, Rossi, Patrizia, Rustamov, Anar, Schäfer, Andreas, Scherer, Stefan, Schindler, Matthias, Schramm, Steven, Shifman, Mikhail, Shuryak, Edward, Sjöstrand, Torbjörn, Sterman, George, Stewart, Iain W., Stroth, Joachim, Swanson, Eric, de Téramond, Guy F., Thoma, Ulrike, Vairo, Antonio, van Dyk, Danny, Vary, James, Virto, Javier, Vos, Marcel, Weiss, Christian, Wobisch, Markus, Wu, Sau Lan, Young, Christopher, Yuan, Feng, Zhao, Xingbo, Zhou, Xiaorong

    Published 2024
    “…The couplings of the Higgs boson to massive vector bosons and fermions that have been measured so far support its interpretation as mass-generating boson as predicted by the Standard Model. …”
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    Article
  12. 112

    Measurement of the τ lepton polarization in Z boson decays in proton-proton collisions at  √𝑠 = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M.

    Published 2024
    “…The τ lepton polarization depends on the ratio of the vector to axial-vector couplings of the τ leptons in the neutral current expression, and thus on the effective weak mixing angle sin2 θ W eff $$ {\theta}_{\textrm{W}}^{\textrm{eff}} $$ , independently of the Z boson production mechanism. …”
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    Article
  13. 113

    Large magnetoelectric coupling in multiferroic oxide heterostructures assembled via epitaxial lift-off by Pesquera, D., Khestanova, E., Ghidini, M., Zhang, S., Rooney, A. P., Maccherozzi, F., Riego, P., Farokhipoor, S., Kim, J., Moya, X., Vickers, M. E., Stelmashenko, N. A., Haigh, S. J., Dhesi, S. S., Mathur, N. D.

    Published 2024
    “…High-resolution magnetic vector maps reveal that micromagnetic behaviour is governed by electrically controlled strain and cracks in the film. …”
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    Article
  14. 114

    Fast Instruction Selection for Fast Digital Signal Processing by Root, Alexander J, Ahmad, Maaz Bin Safeer, Sharlet, Dillon, Adams, Andrew, Kamil, Shoaib, Ragan-Kelley, Jonathan

    Published 2024
    “…Modern vector processors support a wide variety of instructions for fixed-point digital signal processing. …”
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    Article
  15. 115

    FabRobotics: Fusing 3D Printing with Mobile Robots to Advance Fabrication, Robotics, and Interaction by Bhattacharya, Ramarko, Lindstrom, Jonathan, Taka, Ahmad, Nisser, Martin, Mueller, Stefanie, Nakagaki, Ken

    Published 2024
    “…Modern vector processors support a wide variety of instructions for fixed-point digital signal processing. …”
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    Article
  16. 116

    Turbulent diapycnal fluxes as a pilot Essential Ocean Variable by Le Boyer, Arnaud, Couto, Nicole, Alford, Matthew H., Drake, Henri F., Bluteau, Cynthia E., Hughes, Kenneth G., Naveira Garabato, Alberto C., Moulin, Aurélie J., Peacock, Thomas, Fine, Elizabeth C., Mashayek, Ali, Cimoli, Laura, Meredith, Michael P., Melet, Angelique, Fer, Ilker, Dengler, Marcus, Stevens, Craig L.

    Published 2024
    “…Measuring turbulent fluxes of buoyancy (<jats:italic>J<jats:sub>b</jats:sub></jats:italic>), heat (<jats:italic>J<jats:sub>q</jats:sub></jats:italic>), salinity (<jats:italic>J<jats:sub>S</jats:sub></jats:italic>) or any other tracer requires either synchronous microscale (a few centimeters) measurements of both the vector velocity and the scalar (e.g., temperature) to produce time series of the highly correlated perturbations of the two variables, or microscale measurements of turbulent dissipation rates of kinetic energy (<jats:italic>ϵ</jats:italic>) and of thermal/salinity/tracer variance (<jats:italic>χ</jats:italic>), from which fluxes can be derived. …”
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    Article
  17. 117

    RITA: Group Attention is All You Need for Timeseries Analytics by Liang, Jiaming, Cao, Lei, Madden, Samuel, Ives, Zack, Li, Guoliang

    Published 2024
    “…Recently, the Transformer model, popular in natural language processing, has been leveraged to learn high quality feature embeddings from timeseries: embeddings are key to the performance of various timeseries analytics tasks such as similarity-based timeseries queries within vector databases. However, quadratic time and space complexities limit Transformers' scalability, especially for long timeseries. …”
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    Article
  18. 118
  19. 119

    Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

    Published 2024
    “…The focus of this work is on the accuracy with which Moroccan weather can be predicted with a vector autoregression (VAR) model compared to using typical meteorological year (TMY) weather, and how this accuracy changes as the number of weather parameters is reduced.…”
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    Article
  20. 120

    Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics by Huber, Lukas, Slotine, Jean-Jacques, Billard, Aude

    Published 2024
    “…By utilizing weighted vector-tree summation, we successfully navigate around general concave obstacles represented as a tree-of-stars. …”
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    Article