Revising Common Approaches for Calibration: Insights From a 1‐D Tracer‐Aided Hydrological Model With High‐Dimensional Parameters and Objectives by Songjun Wu, Doerthe Tetzlaff, Chris Soulsby

“…In this study, two common philosophies for multi‐objective optimisation in hydrology (the use of aggregated scalar criterion or vector functions) were revisited with different sampling strategies: (a) random sampling, (b) DiffeRential Evolution Adaptive Metropolis (DREAM as an example of an aggregated scalar function), and (c) Non‐Dominated Sorting Genetic Algorithm II (NSGA‐II as Pareto‐based multi‐objective optimisation). …”
Get full text

Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…In recent years, researchers have adapted DDs into different forms for representing quantum states and performing quantum calculations efficiently. …”
Get full text

Optimization of the Raman spectroscopic method for crystal orientation and residual stress of aluminum oxide by Miaoxia Xie, Chengyu Xiang, Xueliang Zeng, Xuesu Zhang, Linjie Zhang, Jiangtao Xiong

“…Then, the number of Raman peak shifts needed for solving equations was reduced to three by studying the simplification method of stress fields, exploring the Raman selection method, and introducing the differential evolution algorithm. In this way, the method that can calculate the residual stress in the absence of peaks in Raman spectroscopic tests was proposed. …”
Get full text

Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Species distribution modeling is fundamental to biodiversity, evolution, conservation science, and the study of invasive species. …”
Get full text

Gravity‐Derived Antarctic Crustal Thickness Based on the Gauss‐FFT Method by Fei Ji, Leyuan Wu, Qiao Zhang

“…Tests with synthetic data indicate that the iterative inversion algorithm can yield a highly accurate Moho topography. …”
Get full text

Cross-validation of methods for the quantitative determination of phenazepam and its active metabolite in human blood plasma at various extractions by A. I. Platova, I. I. Kuzmin, D. V. Ivaschenko, I. I. Miroshnichenko

“…The statistical approaches used in the work have confirmed the reproducibility of the results of different sample preparation methods. In addition to cross-validation, the statistical algorithm from this paper using Bland – Altman analysis can be successfully employed to assess accuracy and precision during bioanalytical method validation and evaluation of the acceptance of analytical runs, as well as to determine the level of reproducibility of incurred samples.…”
Get full text

DySCo: A general framework for dynamic functional connectivity. by Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico E Turkheimer, Paul Expert

“…DySCo provides a single framework that allows to: (1) Use dFC as a tool to capture the spatio-temporal interaction patterns of data in a form that is easily translatable across different imaging modalities. (2) Provide a comprehensive set of measures to quantify the properties and evolution of dFC over time: the amount of connectivity, the similarity between matrices, and their informational complexity. …”
Get full text

Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness by Clement Soriot, Martin Vancoppenolle, Catherine Prigent, Carlos Jimenez, Frédéric Frappart

“…Key to reduced differences is the consistent evolution of many SIV contributors: seasonal and perennial ice coverage, their SIT contrast, whereas perennial SIT provides the largest remaining uncertainty source. …”
Get full text

SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…The proposed convolutional neural network (CNN) model is comprised of six blocks placed at different layers. To enable the exhaustive evaluation of proposed framework across different datasets, the model has undergone training on a very complex HyperKvasir dataset, and later tested on Kvasir v1 and v2 datasets. …”
Get full text

Multi-criteria vehicle routing problem for a real-life parcel locker-based delivery by Radosław Idzikowski, Jarosław Rudy, Michał Jaroszczuk

“…However, results also indicate that both Tabu Search and Genetic Algorithm have different effectiveness in different cases. …”
Get full text

Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…Moreover, to benchmark the dataset, we first label a subset of the dataset based on feedback from the DevOps experts within the industry context. Then six different algorithms are employed on the dataset and their performance in anomaly detection is evaluated using three different Area Under the Curve (AUC) metrics. …”
Get full text

Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…The logistic regression model incorporating variables selected by the LASSO algorithm exhibited superior predictive performance relative to other models, although the differences were not statistically significant. …”
Get full text

Design, Mathematical Modeling, and Control of an Underactuated 3-DOF Experimental Helicopter by Osamah Talal Makki, Seyyed Sajjad Moosapour, Saleh Mobayen, Jafar Heyrani Nobari

“…The system is considered an essential benchmark for the development and evaluation of control algorithms and identification methods as it mimics real helicopters and UAVs. …”
Get full text

Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

“…Various models featuring hexagonal FAs, containing different mixed fuels, were tested through a series of simulations. …”
Get full text

Research on the Reliability of Intelligent Dispatching Management System for Open-pit Mines by QIU Zixian, XU Yueyun, WANG Xiaowei, HU Manjiang, QIN Hongmao

“…At the same time, considering that different service instance deployment methods have a key impact on the reliability of the scheduling system, this paper proposes a step-by-step traversal algorithm to obtain the best service instance deployment method, and then obtain the most reliable scheduling system deployment method. …”
Get full text

The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of... by L. A. Mineeva, L. I. Balashevich, A. A. Kozhukhov, L. B. Shubin, A. V. Kabanov, C. Passaglia, D. Richards, B. Madow

“…In order to better fix the details of the fundus images with lens opacities using a computer algorithm with a filter system, evaluation scales have been developed – the clarity score scale and the blur score scale. …”
Get full text

Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…The second strategy introduces three variants, each incorporating a Q-learning-based operator in the selection mechanism and a different evolution control mechanism, where the Kriging model is employed to approximate the fitness of generated offspring. …”
Get full text

Estimation of Polarization and Spatial Parameters of a Radio Source Signal Using Triorthogonal Antenna by G. S. Gribov

“…Phase and correlation methods are based on the difference in delays of signals received by spaced antenna elements. …”
Get full text

QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…The accuracy of the baseline algorithm is additionally increased in this study through correction of bias observed in the algorithm output. …”
Get full text

Spatial Differentiation Mechanism of Urban Housing Prices from the Perspective of Amenity: A Case Study of Nanjing by Guangyuan Feng, Xiaopu Bi, Jingxiang Zhang, Tianhan Cheng

“…Using data on multiple types of facilities and housing price information, this paper analysed spatial differentiation characteristics of housing prices in Nanjing. An evaluation indicator system of human environment quality was established under the amenity connotation based on three dimensions of natural amenity, artificial amenity and social atmosphere amenity, and the Gradient Boosting Decision Tree (GBDT) algorithm was applied to investigate the impact of different amenity factors on housing prices. …”
Get full text