Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff models by Pin-Chun Huang, Kwan Tun Lee

“…Physics-based models provide a comprehensive framework for understanding runoff processes, offering physical realism and transferability advantages. In contrast, they may require more expertise and complicated numerical operations compared to data-driven models. …”
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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions by Paul Baxter

“…This behavioural alignment is facilitated by a human memory-inspired learning algorithm that adapts in real-time over the course of an interaction. …”
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Designing diverse and high-performance proteins with a large language model in the loop. by Carlos A Gomez-Uribe, Japheth Gado, Meiirbek Islamov

“…While we focus on amino acid sequences, BADASS may generalize to other sequence spaces, such as DNA and RNA.…”
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The legal rules of the European Union and the United States on artificial intelligence and human rights by Magdalena Butrymowicz

“…It is important to note that an algorithm created by an AI machine is devoid of feelings, emotions or prejudices. …”
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Minimal cyclic behavior in sheared amorphous solids by Chloe W Lindeman, Sidney R Nagel

“…Although jammed packings of soft spheres exist in potential energy landscapes with a vast number of minima, when subjected to cyclic shear they may revisit the same configurations repeatedly. …”
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SENTIMENT ANALYSIS OF OMNIBUS LAW USING SUPPORT VECTOR MACHINE (SVM) WITH LINEAR KERNEL by Ahmad Rohiqim Makhtum, Muhammad Muhajir

“…The accuracy of the SVM algorithm with a linear kernel is found to be 97.05% based on its classification performance. …”
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Applying binary mixed model to predict knee osteoarthritis pain. by Helal El-Zaatari, Liubov Arbeeva, Amanda E Nelson

“…Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to develop a flexible, data-driven framework for predicting knee pain outcomes, incorporating the advantages of both random forest (RF) and mixed effects models for correlated data. …”
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Empirical Analysis of Beneficial Equality of the Basic Medical Insurance for Migrants in China by Jieying Gao, Dongxiao Chu, Tao Ye

“…The Heckman model was employed due to selection bias among inpatients, and the random forest algorithm of machine learning was used to analyze the importance of factors affecting the hospitalization decision-making, hospitalization consumption, and reimbursement proportion of the floating population. …”
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On the Efficient Generation of α-κ-μ and α-η-μ White Samples with Applications by Rausley Adriano Amaral de Souza, Antonio Marcelo Oliveira Ribeiro, Dayan Adionel Guimarães

“…This paper is concerned with a simple and highly efficient random sequence generator for uncorrelated α-κ-μ and α-η-μ variates. The algorithm may yield an efficiency of almost 100%, and this high efficiency can be reached for all special cases such as α-μ,  κ-μ,   η-μ, Nakagami-m, Nakagami-q, Weibull, Hoyt, Rayleigh, Rice, Exponential, and the One-Sided Gaussian. …”
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Pixel-Based Image Processing for CIE Standard Sky Classification through ANN by D. Granados-López, A. García-Rodríguez, S. García-Rodríguez, A. Suárez-García, M. Díez-Mediavilla, C. Alonso-Tristán

“…The main conclusion was that specific image-processing methods could improve ANN-algorithm accuracy, depending on the image information required for the classification problem.…”
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PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19 by Thalita Meisya Permata Aulia, Nur Arifin, Rini Mayasari

“…However, this resulted in a paralyzed economy, many factories or business shops closed, eliminating the livelihoods of many people. Vaccines may be a solution, various International Research Communities have conducted research on the COVID-19 vaccine. …”
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Artificial intelligence in spinal deformity by Joash Suryavanshi, David Foley, Michael H. McCarthy

“…Objective: To facilitate discussion surrounding the use of AI in medicine so that it may lead to improved surgeon and patient outcomes in the future. …”
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Smart Data Placement Strategy in Heterogeneous Hadoop by Nour-Eddine Bakni, Ismail Assayad

“…It takes cluster heterogeneity into account when distributing data by first dividing nodes into groups based on their performance levels using a clustering algorithm and then allocating data blocks to appropriate nodes based on their hotness. …”
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Baseline-free structured light 3D imaging using a metasurface double-helix dot projector by Shen Zicheng, Ni Yibo, Yang Yuanmu

“…Such a technique may find application in a broad range of areas including consumer electronics and precision metrology.…”
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Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection by Elisabetta Canuti, Martina Austoni

“…While microscopy is the standard method for phytoplankton identification, pigment-based methods provide broader spatiotemporal coverage. Between May and September 2023, five measurement campaigns were conducted in Lake Maggiore, collecting bio-geochemical and bio-optical data at 27 stations. …”
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Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning by Ziya EKŞİ, Murat ÇAKIROĞLU, Cemil ÖZ, Ayse ARALAŞMAK, Hasan Hüseyin KARADELİ, Muhammed Emin ÖZCAN

“…Conclusions: A combined analysis of MRS and computer-aided diagnosis may be useful as a complementary imaging technique to determine MS types.…”
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Link Scheduling and End-to-End Throughput Optimization in Wireless Multi-Hop Networks by Fei Ge, Liansheng Tan, Wei Zhang, Ming Liu, Xun Gao, Juan Luo

“…Results illustrate that these schemes may improve end-to-end throughput in wireless multi-hop networks modestly.…”
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Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division by Wen Zhou, Dongping Ming, Lu Xu, Hanqing Bao, Min Wang

“…However, due to objects’ scale-dependent nature, the optimal segmentation parameters for an overall image may not be suitable for all objects. According to the idea of spatial dependence, the same kind of objects, which have the similar spatial scale, often gather in the same scene and form a scene. …”
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Assimilating Summer Sea‐Ice Thickness Observations Improves Arctic Sea‐Ice Forecast by Ruizhe Song, Longjiang Mu, Svetlana N. Loza, Frank Kauker, Xianyao Chen

“…A new summer CryoSat‐2 SIT observation data set based on an artificial intelligence algorithm may alleviate this situation. We assess the impact of this new data set on the initialization of sea‐ice forecasts in the melt seasons of 2015 and 2016 in a coupled sea ice‐ocean model with data assimilation. …”
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Resilience-Based Restoration Sequence Optimization for Metro Networks: A Case Study in China by Jiefei Zhang, Gang Ren, Jianhua Song

“…However, this conclusion may be invalid if transfer stations repair time is far longer than others. …”
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