Development and control of a mini quad-copter by Tan, Wei Hong.

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Nonlinear optical imaging investigations at the micro-scale by Lim, Ken Choong

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Circuit board design and electric vehicle decoding by Gu, Haiyan

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Design and modelling of microgrid by Vadlamudi Sai Datta Venkateshwara Rao

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Combined action observation and motor imagery : is a functional equivalence approach more effective? by Tan, Cher Han

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Building AC/DC microgrid design by Li, ChengJing

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Automated tagging of safety cases for autonomous vehicles in Asian megacities by Srivastava Prateek

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Effects of video-based technology to improve performance of a soccer player’s direct free kick by Tan, Mark Mu Zhou

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Social media sentiment enhanced stock market prediction analysis by Tan, Adrian Yong Chang

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A book is a body by Goh, Su-Lynn

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Bursting on a vortex tube with initial axial core-size perturbations by Ji, Lingbo, Van Rees, Wim M.

“…An analysis of the vorticity dynamics during bursting reveals that initially the flow behaves qualitatively like a head-on collision of two isolated vortex rings, with the azimuthal vorticity dynamics driving radial growth. …”
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MHD (SWCNTS + MWCNTS)/H2O-based williamson hybrid nanofluids flow past exponential shrinking sheet in porous medium by Alkasasbeh, Hamzeh Taha, Muhammad Khairul Anuar, Mohamed

“…This shows the potential of the Williamson hybrid nanof luid for friction application purposes especially in transportation like braking system, f lushing f luid and mechanical engineering.…”
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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

“…Additionally, investigating new application domains like linked multi-physics issues or real-time simulation situations may help to increase the reach and significance of PINN approaches.…”
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China's expectations for university students' employment outlook: A qualitative analysis based on employment policy documents by Zhang, Ziran, Hasan, Ahmad

“…Amid the Fourth Industrial Revolution, high-quality development demands, and challenges like the U.S.-China trade war, COVID-19, and demographic shifts, graduates in China face growing employment pressures. …”
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Recent advancements in additively manufactured hip implant design using topology optimization technique by Noman, Abdulla All, Mohd Shamil, Shaari, Mehboob, Hassan, Abdul Hadi, Azman

“…Consequently, AM enables the fabrication of hip replacements made of alloys like titanium, cobalt-chromium, stainless steel, and their alloys. …”
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Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing by Carlton, Ashley, Morgan, Rachel, Lohmeyer, Whitney, Cahoy, Kerri

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The new physics case for beam-dump experiments with accelerated muon beams by Cesarotti, Cari, Gambhir, Rikab

“…We find that, even at low energies like those accessible at staging or demonstrator facilities, it is possible to probe new regions of parameter space for a variety of generic BSM models, including muonphilic, leptophilic, Lμ − Lτ, and dark photon scenarios. …”
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Solvability Regions of Affinely Parameterized Quadratic Equations by Dvijotham, Krishnamurthy, Nguyen, Hung, Turitsyn, Konstantin

“…The results in this paper are motivated by quadratic systems of equations that describe equilibrium behavior of physical infrastructure networks like the power and gas grids. The quadratic systems in infrastructure networks are parameterized- the parameters can represent uncertainty (estimation error in resistance/inductance of a power transmission line, for example)or controllable decision variables (power outputs of generators,for example). …”
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Real-time dynamics of the Schwinger model as an open quantum system with Neural Density Operators by Lin, Joshua, Luo, Di, Yao, Xiaojun, Shanahan, Phiala E.

“…As a proof of principle demonstration in a QCD-like theory, the approach is applied to solve the Lindblad master equation in the 1 + 1d lattice Schwinger Model as an open quantum system. …”
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Inertial Navigation System Drift Reduction Using Scientific Machine Learning by McManus, Matthew

“…The proposed SciML architecture leverages neural networks to learn complex error patterns and relationships from simulated IMU data, outperforming conventional techniques like Kalman filtering. Utilizing a simulation-focused approach with the Julia programming language and the HighPerformance Inertial Navigation Development Repository (HIDR) library, the research generates realistic datasets encompassing diverse trajectories, sensor errors, and operational conditions. …”
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