Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…Conclusively, the proposed investigation provides insightful AI, ML and CFD-proposed analysis of blood-based nano-particles which can improve imaging techniques, provide tailored drug delivery, reduce hyperthermia, improve blood flow, and show potential for application in medicine.Highlights Artificial intelligence and machine learning-based CFD simulation of the blood-mediated tri-hybrid nano-fluid flow is presented.An improved finite difference scheme (the Keller-Box method), is utilized to numerically evaluate the problem.The LMA-ANN forecasts with an absolute error range of [Formula: see text] to [Formula: see text] relative to the actual data.Regression scores equal to 1 indicate a strong correlation between forecasts and actual data.…”
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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials: grid optimization and performance evaluation by Hai Tao, Mohammed Suleman Aldlemy, Raad Z. Homod, Mustafa K. A. Mohammed, Abdul Rahman Mallah, Omer A. Alawi, Shafik S. Shafik, Hussein Togun, Blanka Klimova, Hassan Alzahrani, Zaher Mundher Yaseen

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Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks by Martin Kenyeres, Jozef Kenyeres, Sepideh Hassankhani Dolatabadi

“…In this paper, WSNs are modeled as random geometric graphs with various connectivity, and the performance of the algorithms is evaluated using two metrics (specifically, the mean square error (MSE) and the number of sent messages required for an algorithm to be completed). …”
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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…According to the results, the simultaneous application of Q and SC lag time values as inputs has led to the best SL estimates by XGB-MPA, with XGB-MPA9 (RMSE = 103.7 ton/day; NSE = 0.96) exhibiting the lowest error rates. …”
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Aerodynamic energy consumption analysis of divided evacuated tube transportation system by Ziwei Zhang, Yingxue Wang, Guanqing Wang, Feilong Li, Dengke Wang, Jianjun Luo

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Designing Standard Growth Chart Based on Weight-For-Age Z-Score of Children in East Java Using Least-Square Spline Estimator by Nur Chamidah, Ardi Kurniawan, Toha Saifudin

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ANALISIS PENGARUH ANGKA KEMATIAN BAYI TERHADAP ANGKA HARAPAN HIDUP DI PROVINSI JAWA TIMUR BERDASARKAN ESTIMATOR LEAST SQUARE SPINE by Anies Yulinda W, Trias Novia L., Melati Tegarina, Nur Chamidah

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Implementation of Mamdani Method Fuzzy System in Determining Final Semester Grades of UIN Walisongo Semarang Students by Arif Rezky Aprilianto, Budi Cahyono, Mohamad Tafrikan

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Automated System for OEE Management in the Industrial Sector by Diego Gomez, Sofia Pantoja, Enoc Acosta, David Arrieta, Sebastián Gutiérrez

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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

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Minimum phase finite impulse response filter design by Jan C. Olivier, Etienne Barnard

“…The study demonstrates that the residual errors achieved by current state‐of‐the‐art design methods are nowhere near the smallest error possible on a finite resolution digital computer. …”
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The First Moon Bistatic SAR Imaging Experiment Based on FAST Radio Telescope by Yan Yin, Jinghai Sun, Jitong Duan, Xiaochen Wang, Mingyuan Li, Xinan Yue, Lijia Huang, Peng Jiang, Chibiao Ding

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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“…The key added value of the tool is in generating specific correction suggestions for each identified error, which are displayed to the users. The tool was integrated into a web application, where users can validate individual PCEs or bulk-upload files. …”
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Bounds on Worst-Case Deadline Failure Probabilities in Controller Area Networks by Michael Short

“…Industrial communication networks like the Controller Area Network (CAN) are often required to operate reliably in harsh environments which expose the communication network to random errors. Probabilistic schedulability analysis can employ rich stochastic error models to capture random error behaviors, but this is most often at the expense of increased analysis complexity. …”
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PENGGUNAAN BAHASA ILMIAH PADA PENULISAN SKRIPSI: PROBLEMATIKA DAN ALTERNATIF SOLUSINYA (Studi Kasus Mahasiswa Jurusan Pendidikan Agama Islam IAIN Syekh Nurjati Cirebon) by Tati Sri Uswati

“…Based on the analysis of data errors, word formation found 31 errors, 61 errors word choice, sentence drafting error 62, 11 arrangement error of reasoning, and the application of rule 105 spelling errors. …”
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Deep Learning-Based Amplitude Fusion for Speech Dereverberation by Chunlei Liu, Longbiao Wang, Jianwu Dang

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Fast and Efficient Lunar Finite Element Gravity Model by Giaky Nguyen, Ahmad Bani Younes, Ahmed Atallah

“…Specifically, this approach is implemented to solve classical differential equations involved with high-precision, long-term orbit propagation. This application provides a four-order-of-magnitude speedup in computational time while maintaining an error within the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>10</mn></mrow></msup></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">m</mi><mspace width="0.222222em"></mspace><msup><mi mathvariant="normal">s</mi><mrow><mo>−</mo><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> error range for various orbit propagation tests. …”
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Observable-driven speed-ups in quantum simulations by Wenjun Yu, Jue Xu, Qi Zhao

“…For short-time simulations, we deliberately design and tailor product formulas to achieve size-independent errors for local and certain global observables. In arbitrary-time simulations, we reveal that Pauli-summation structured observables generally reduce average errors with a typically quadratic error reduction. …”
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