Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). …”
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Finite element-based nonlinear dynamic optimization of nanomechanical resonators by Zichao Li, Farbod Alijani, Ali Sarafraz, Minxing Xu, Richard A. Norte, Alejandro M. Aragón, Peter G. Steeneken

“…Here, we integrate an FE-based nonlinear ROM technique with a derivative-free optimization algorithm to enable the design of nonlinear mechanical resonators. …”
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Multiobjective Electric Vehicle Charging Network Planning Considering Chance-Constraint on the Travel Distance for Charging by Yunxiang Guo, Xinsong Zhang, Daxiang Li, Chenghong Gu, Cheng Lu, Ting Ji, Yue Wang

“…The nondominated sorting genetic Algorithm II with the constraint domination principle (NSGA-II-CDP) is customized to solve the developed multiobjective EVCN planning model, by designing a special coding scheme, a crossover operator, and a mutation operator. …”
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Large language models for causal hypothesis generation in science by Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls

“…As an example, our hybrid (LLM + data) causal discovery algorithm illustrates ways for deeper integration. …”
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Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure by Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran, Zhi-Zeng Luo

“…A feature-level fusion method, named as the global canonical correlation analysis of weighting genetic algorithm, was proposed to reduce dimensions. For the problem in which the number of daily activities is considerably more than the number of fall activities, Weighted Kernel Fisher Linear Discriminant Analysis (WKFDA) was proposed to classify gait and fall. …”
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Classical eikonal from Magnus expansion by Joon-Hwi Kim, Jung-Wook Kim, Sungsoo Kim, Sangmin Lee

“…We exploit a Hopf algebra structure behind the Magnus expansion to develop a fast algorithm which can compute the tree coefficients up to the 12th order (over half a million trees) in less than an hour. …”
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Analysis of Techno–Economic and Social Impacts of Electric Vehicle Charging Ecosystem in the Distribution Network Integrated with Solar DG and DSTATCOM by Ramesh Bonela, Sriparna Roy Ghatak, Sarat Chandra Swain, Fernando Lopes, Sharmistha Nandi, Surajit Sannigrahi, Parimal Acharjee

“…The optimal locations and capacities of the EVCE, solar DG, and DSTATCOM are determined using an improved particle swarm optimization algorithm based on the success rate technique. The study aims to maximize the technical, financial, and social benefits while ensuring that all security constraints are met. …”
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Damped Iterative Explicit Guidance for Multistage Rockets with Thrust Drop Faults by Zongzhan Ma, Chuankui Wang, Zhi Xu, Shuo Tang, Ying Ma

“…A damped iterative explicit guidance (DIEG) algorithm is proposed to address the problem of the insufficient convergence of classical explicit guidance methods in the event of thrust drop faults in multistage rockets. …”
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Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

“…The proposed system uses a web camera to capture an image in real-time, analyze it, and then classify the color of urine by using the random forest (RF) algorithm and show the result via the Graphical User Interface (GUI). …”
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Displacement-Based Back-Analysis of the Model Parameters of the Nuozhadu High Earth-Rockfill Dam by Yongkang Wu, Huina Yuan, Bingyin Zhang, Zongliang Zhang, Yuzhen Yu

“…In this method, an artificial neural network is used as a substitute for time-consuming finite element analysis, and an evolutionary algorithm is applied for both network training and parameter optimization. …”
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A New Variable Exponential Power Reaching Law of Complementary Terminal Sliding Mode Control by Feng Xu, Na An, Jianlin Mao, Shubo Yang

“…In this article, a new nonlinear algorithm based on the sliding mode control is developed for the ball and plate control system to improve dynamic response and steady-state tracking accuracy of the control system. …”
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Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

“…Furthermore, based on the data from CHAMPS, we present three pragmatic algorithmic approaches to the wide array of testing options for cost-effectiveness and scalability of postmortem MITS in South African state facilities. …”
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Collaborative Optimization of Aerodynamics and Wind Turbine Blades by Fushan He, Xingsheng Zheng, Weilin Luo, Jianfeng Zhong, Yunhua Huang, Aili Ye, Rongrong Qiu, Huafu Ma

“…A collaborative optimization framework is set up on the Isight platform, employing a genetic algorithm to find the optimal solution for the blade’s aerodynamics and structural properties. …”
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The Role of Virtual Cystoscopy, after Multidetector Computed Tomography Imaging Reconstruction without the Use of Contrast Medium, in the Diagnosis and Evaluations of Bladder Tumor... by Kyriaki Kalokairinou, Achilles Ploumidis, Theodoros Kalogeropoulos, Lampros Vlachos, Kyriakos Stringaris, Ageliki Tavernaraki, Anastasios Thanos, Xenofon Papacharalampous, Vasilios Koutoulidis, Julien Letendre, Olivier Traxer, Athanasios Gouliamos

“…In the future it could be part of the diagnostic algorithm for bladder tumors.…”
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Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis by Tianlong Zheng, Chunli Zhang, Yueting Shi, Debao Chen, Sheng Liu

“…In addition, the epidemic clustering characteristics were analyzed through the spectral clustering algorithm. The visualization results of spectral clustering showed that the geographical distribution of global COVID-19 pandemic spread formation was highly clustered, and its clustering characteristics and influencing factors also exhibited some consistency in distribution. …”
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End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components by Amaia Arregi, Aitor Barrutia, Iñigo Bediaga

“…These features are then introduced to an anomaly and paradigm shifts detection algorithm. The method is evaluated through three distinct scenarios. …”
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Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis by Zefei Guo, Xiao Li, Yuchen Zhang

“…Finally, the method is further enhanced through the adaptive error minimization algorithm, leading to a more pronounced noise reduction effect. …”
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High-Performance Wireless Piezoelectric Sensor Network for Distributed Structural Health Monitoring by Shang Gao, Xuewu Dai, Zheng Liu, Guiyun Tian

“…In addition to hardware, embedded signal processing and distributed data processing algorithm are designed as the intelligent “brain” of the proposed wireless monitoring network to extract features of the PZT signals, so that the data transmitted over the wireless link can be reduced significantly.…”
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An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions by Yan Xia, Martin Berger, Sebastian Bauer, Shiyang Hu, Andre Aichert, Andreas Maier

“…The forward projection of the optimized ellipse can be used to complete the truncation data. The proposed algorithm is evaluated using simulated data and reprojections of clinical data. …”
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Predicting Disease Onset from Mutation Status Using Proband and Relative Data with Applications to Huntington's Disease by Tianle Chen, Yuanjia Wang, Yanyuan Ma, Karen Marder, Douglas R. Langbehn

“…In this work, we use the expectation-maximization (EM) algorithm to handle the missing huntingtin gene information in first-degree family members in COHORT, assuming that a family member has the same CAG length as the proband if the family member carries a huntingtin gene mutation. …”
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