2400 by Ang, Kai Lin

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Fraudulent mediums and miracle-mongers: illusion, concealment and revelation in the works of Crivelli, Greenberg and Houdini by David, Karen

“…This article aims to raise questions and comparisons between illusions found in pictorial language, magical apparatus and parafictions, illustrating the fine line between illusion and material, and concealment and revelation.…”

Planning with object creation by Corrêa, AB, De Giacomo, G, Helmert, M, Rubin, S

“…One key aspect of PDDL is that the set of objects cannot be modified during plan execution. While this is fine in many domains, sometimes it makes modeling more complicated. …”

Large deviation estimates of Selberg’s central limit theorem and applications by Arguin, L-P, Bailey, E

“…The proof is an adaptation of the recursive scheme introduced by Bourgade, Radziwi l l and one of the authors to prove fine asymptotics for the maximum on intervals of length 1.…”

Timing performance of a MCP photon detector read out with multi-channel electronics for the TORCH system by Castillo García, L, Fopma, JM, Forty, R, Frei, C, Gao, R, Gys, T, Harnew, N, Piedigrossi, T

“…Timing properties are obtained at modest MCP gain, without time walk correction and no fine calibration of the time-to-digital converter circuit. …”

Quantifying behavior-based gender discrimination on collaborative platforms by Vásárhelyi, O, Vedres, B

“…We analyzed the extent of behavior-based gender discrimination on two digital platforms, GitHub and Behance, focused on software development and fine arts and design. We found that the main cause of women’s disadvantage in attention, success, and survival is largely due to the gender typicality of their behavior that varies between 60 and 90% of the total disadvantage of women. …”

Hand gesture recognition, prediction, and coding using hidden Markov models by Nguyen, Katerina H. (Katherina Huong)

“…Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.…”
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Adaptive degradation of images in network applications by Lau, Simon (Simon Yue Kam), 1975-

“…Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.…”
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Social, Cultural, and Behavioral Modeling : 14th International Conference, SBP-BRiMS 2021, virtual event, July 6-9, 2021, Proceedings / by International Conference on Social Computing Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation (14th : 2021 : Online) http://id.loc.gov/authorities/names/nb2021008523, Thomson, Robert, editor 497094, Hussain, Muhammad Nihal, editor 642965, Dancy, Christopher L., editor 642966, Pyke, Aryn, editor 642967

Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…In general, we built a system based on the ABSA Deep Learning model to make fine-grained and topic-specific sentiment analyses on public opinion trends. …”
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A computer vision software to automatically measure dimensions of flat surfaces in a photograph by Wang, Qifeng

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Development of an evanescent wave-based optical microfiber platform for label-free sensing applications by Yap, Stephanie Hui Kit

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Transformation of seafood waste into bioplastic by Teo, Natalie Hui Ning

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High performance nano-scale measurements by advanced atomic force estimation by Cui, Song

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Novel exproprioceptive sensor configurations and user interfaces for mobile robot control in uncertain environments by Hau, Chee Seng.

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Development of implantable MEMS for biomedical applications by Tng, Danny Jian Hang.

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Development of morphing UAV actuated with shape memory alloy by Zhang, Alwyn Jianzhong

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4D printing of heat-driven self-assembly structures (Part II) by Teo, Jin Howe

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Low power DFT filter bank based two-stage spectrum sensing by Nair, Prashob R., Smitha, Kavallur Gopi, Vinod, Achutavarrier Prasad

“…The paper presents a low power discrete Fourier transform (DFT) filter bank based two-stage spectrum sensing with energy detector (ED) for the first stage coarse sensing, complemented by a cyclostationary feature detector (CFD) for fine spectrum sensing. The dynamic power of the sensing operation depends on the sampling rate at which computations are performed. …”
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Without passage by Chee, En Cui

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