AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. …”
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A Review of Genetic Algorithm: Operations and Applications by Md Isa, Faizatulhaida, Ariffin, Wan Nor Munirah, Jusoh, Muhammad Shahar, Erni Puspanantasari Putri, Erni Puspanantasari Putri

“…The conclusion underscores the enduring relevance of GA in the optimization landscape, emphasizing their potential to remain a pivotal tool for addressing intricate real-world challenges, provided their parameters are fine-tuned judiciously to balance exploration and exploitation.…”
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Potential of Pressmud Waste from Sugar Industry in Brick Manufacturing for Green Business and Sustainability by Mohamad, Maheera, Chong, Khai Lin, Abdul Nasir, Muhammad Hafeez, Abidin, Rahimi, Abu, Noor Hidayah, Razalli, Mohd Rizal, Taib, Che Azlan, Mohd Yusoff, Yuhainis, Chellamuthu, Vignes

“…This study investigates the feasibility of using pressmud, a sugarcane refinery waste, as a fine bio-aggregate for the production of construction materials. …”
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Synthesis and optical study of lead halide perovskites for opto-electronic applications by Ha, Son Tung

“…These methods usually result in polycrystalline film with many pin-holes and defects. As a physicist, my first aim is to find a way to prepare highest quality, single crystal samples for studying their intrinsic and fundamental properties. …”
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Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study by Ng, Sean Jake Peng

“…This comprehensive study encompasses various factors, including the choice of aggregate types (FAC and fine sand), different levels of Fe2O3 inclusions (2 wt% and 4 wt%), and channel frequencies within the 3300 to 3800 MHz frequency band (divided into five 100 MHz channels). …”
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Research on basic mechanical properties of different modulus alkaline excited ECC by Che, Jialing, Yang, Renze, Wang, Jun, Liu, Haifeng, Hu, Yun xiang, Doh, Shu Ing

“…The effect of the alkali activator modulus on the mechanical properties and microstructure of two types of fiber-reinforced engineering cementitious composites (alkali-excited ECC) with desert sand as fine aggregate was studied. The alkali activator was prepared by a certain proportion of NaOH and sodium silicate mixture, and the mechanical performance indexes were used for analysis, including compressive/tensile/flexural strength, Poisson's ratio and elastic modulus, flexural toughness ratio and energy performance index (PSH). …”
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Optimizing crystal size distribution based on different cooling strategies in batch crystallization process by Siti Zubaidah, Adnan, Noor Asma Fazli, Abdul Samad

“…Furthermore, the number of fine crystals was among the lowest at a volume distribution of 0.00071 m3/m compared to the linear profile at 0.00191 m3/m. …”
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Morphology‐Directed Light Emission from Fluorescent Janus Colloids for Programmable Chemical‐To‐Optical Signal Transduction by Frank, Bradley D., Nagelberg, Sara, Baryzewska, Agata W., Simón Marqués, Pablo, Antonietti, Markus, Kolle, Mathias, Zeininger, Lukas

“…Informed by experimental observations of morphology‐dependent optical confinement of internally emitted light within the higher refractive index phases, ray‐tracing is used to predict and fine‐tune the droplets’ optical properties and their ability to concentrate light. …”
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0-1 Knapsack in Nearly Quadratic Time by Jin, Ce

“…Our algorithm combines and extends several recent structural results and algorithmic techniques from the literature on knapsacktype problems: (1) We generalize the “fine-grained proximity” technique of Chen, Lian, Mao, and Zhang (2023) derived from the additivecombinatorial results of Bringmann and Wellnitz (2021) on dense subset sums. …”
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User satisfaction and service quality improvement priority of bus rapid transit in Belo Horizonte, Brazil by Zheng, Yunhan, Kong, Hui, Petzhold, Guillermo, Barcelos, Mariana M, Zegras, Christopher P, Zhao, Jinhua

“…These findings can help policymakers fine-tune improvement strategies targeted at different types of services.…”
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Accurate and Fast Approximate Graph Mining at Scale by Arpaci-Dusseau, Anna

“…Hybrid sampling further improves performance by automatically choosing the better scheme between fine-grained and coarse-grained sampling schemes. …”
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What the visual system can learn from the non-dominant hand: The effect of graphomotor engagement on visual discrimination by Ben-Ami, Shlomit, Buaron, Batel, Yaron, Ori, Keane, Kyle, Sun, Virginia H., Phillips, Flip, Friedman, Jason, Sinha, Pawan, Mukamel, Roy

“…However, existing studies have emphasized the dominant hand, which is superiorly dexterous in fine-motor movements. This near-exclusive focus prompts the inquiry of whether the observed perceptual facilitation is a general characteristic of the motor system, or specific to pathways controlling the skilled over-trained dominant hand. …”
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MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models by Thao, Phan Nguyen Minh, Dao, Cong-Tinh, Wu, Chenwei, Wang, Jian-Zhe, Liu, Shun, Ding, Jun-En, Restrepo, David, Liu, Feng, Hung, Fang-Ming, Peng, Wen-Chih

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Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging by Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D, Findeisen, Rolf

“…This approach establishes a hierarchical control framework where Bayesian optimization directly fine-tunes closed-loop behavior towards a global and long-term objective, while MPC handles lower-level, short-term control tasks. …”
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A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs by Natarajan, Pradeep, Shrinivas, Krishna, Chakraborty, Arup K

“…Finally, our model predicts that lncRNA transcription can fine-tune transcription from neighboring condensate-controlled genes, repressing transcription from highly expressed genes and enhancing transcription of genes expressed at a low level. …”
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Towards Spatially Varying Gloss Reproduction for 3D Printing by Piovarci, Michal, Foshey, Michael, Babaei, Vahid, Rusinkiewicz, Szymon, Matusik, Wojciech, Didyk, Piotr

“…The main difficulty in automating this process lies in the physical properties of the varnishes which owe their appearance to a high concentration of large particles and as such, they cannot be easily deposited with current 3D color printers. As a result, fine-grained control of gloss properties using today's 3D printing technologies is limited in terms of both spatial resolution and the range of achievable gloss. …”
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EasyPDP: an efficient parallel dynamic programming runtime system for computational biology by Tang, Shanjiang, Yu, Ce, Sun, Jizhou, Lee, Bu-Sung, Zhang, Tao, Xu, Zhen, Wu, Huabei

“…The experimental results illustrate that EasyPDP system is fine and provides an efficient infrastructure for dynamic programming algorithms.…”
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Defects in β-cell Ca2+ dynamics in age-induced diabetes by Li, Luosheng, Trifunovic, Aleksandra, Köhler, Martin, Wang, Yixin, Petrovic Berglund, Jelena, Illies, Christopher, Juntti-Berggren, Lisa, Larsson, Nils-Göran, Berggren, Per-Olof

“…Our data suggest that aging is associated with a progressive decline in β-cell mitochondrial function that negatively impacts on the fine tuning of Ca2+ dynamics. This is conceptually important since it emphasizes that even relatively modest changes in β-cell signal transduction over time lead to compromised insulin release and a diabetic phenotype.…”
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Utilization of recycled glass for 3D concrete printing : rheological and mechanical properties by Ting, Andrew Guan Heng, Tay, Daniel Yi Wei, Qian, Ye, Tan, Ming Jen

“…This paper examines the use of recycled glass as the fine aggregates for 3D concrete printing applications. …”
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Employee profiling via aspect-based sentiment and network for insider threats detection by Soh, Charlie, Yu, Sicheng, Narayanan, Annamalai, Duraisamy, Santhiya, Chen, Lihui

“…On the contrary to the traditional sentiment analysis, aspect-based sentiment analysis provides more fine-grained information on the employee. Our framework employs a combination of deep learning techniques such as Gated Recurrent Unit (GRU) and skipgram to build temporal sentiment profiles for the employees. …”
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