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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Static and cyclic behavior of steel beams retrofitted with fiber reinforced polymer laminates by Yu, Yi

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Improvement of power quality and system performance using energy storage systems by Ho, Peng Leong.

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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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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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言 (language) + 葉 (leaves) = 言葉 (spoken word) by Koh, Naomi Takatsuka

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The making of kebaya - project book by Beh, Wen Jing, Poh, Trevor Ji En, Heng, Jing Yu, Chew, Alvin Jia Liang, Vu, Quang Ngoc, Muhammad Adam Rosli, Yip, Vanessa Yee Sing

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Fanum world by Tan, Yen Ling

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Fashion artifice by Nair, Manasi Santosh Kumar

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Types unite by Chow, Yean Li

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Llama2 self-improvement using memory-of-thought by Dong, Yuxiu

“…Memory-of-Thought (MoT) is a newly proposed mechanism for LLMs to self-improve without annotated datasets and expensive resource consumption for fine-tuning models. This project evaluates the effectiveness of MoT on a pre-trained Large Language Model Llama2 and compares the performance of improved Llama2 with ChatGPT3.5 API on 10 benchmark data sets. …”
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Frail Line by Er, Kia Hui, Ong, Grace Xi Wei, Ho, Baofei, Tan, Jit Quan, Boithar, Faizal

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