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. …”

Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions by Adjodah, Dhaval, Leng, Yan, Chong, Shi Kai, Krafft, P. M., Moro, Esteban, Pentland, Alex

“…A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and decision-making. …”
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Investment portfolio selection using genetic algorithms by Zhang, Yawen

“…The challenge of portfolio selection remains a critical focus within the domains of genetic algorithms and computational finance optimization. In the volatile financial markets, the objective of optimizing genetic algorithms (GAs) is to enhance the efficiency of portfolio decision-making processes and identify portfolios with superior risk-adjustment capabilities. …”
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UK environmentally sensitive businesses SDG’s disclosure in their sustainability reports, websites and social media by Khan, Shahbano, Kazmi, Syed Faizan Hassan

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Analysis of online learning algorithms in machine learning by Wang, Z

“…We rigorously prove convergence of the online forward propagation algorithm for linear SDE models and present its numerical results to a range of mathematical finance applications. Finally, we establish the convergence of our algorithm for a class of nonlinear dissipative SDEs whose drift and volatility functions both depend upon the parameters which are being optimized. …”

Do investors get benefits from corporate green sukuk issuance by Riaz, Tabassum, Selamat, Aslam Izah, Mohd Nor, Normaziah, Sheikh Hassan, Ahmad Fahmi

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Python extension for a convolution neural network accelerator by Pattanapong Khaopaibul Wu Jing Han

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Chinese poem generation using natural language processing by Wang, Jihan

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One-stop application for scrapbooking by Zhou, Wanxuan

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Data analytics accessibility and predictability in Singapore’s rail sector by Chia, Ethan Cheng Wai

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Exploring the (im)possibilities of multicultural solidarity in Singapore by Koh, Seth Xi Liang

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The power stage design of class - D amplifier by Su, Li Wei

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Fabrication and characterization of flexible-conductive nanocomposites by Lau, Jun Jie

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Fabrication of newspaper-based nickel cobaltite nanosheet supercapacitor by Lee, Wei Chin

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Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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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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