Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…Secondly, a generative design tool with a Dynamo evolutionary algorithm is utilized to optimize the tree distribution across the communal areas of these three spaces considering the current built environment. …”
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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. …”
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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. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…Traditional quality-related fault detection methods cannot detect abnormalities on time, leading to the transfer and evolution of faults between different operational units of industrial processes. …”
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Evolutionary Genetic Analysis of the Pyrazinamidase Gene in Seven Global Populations of Mycobacterium tuberculosis by Neha Kumari, Nikhat Khan, Aparup Das

“…Several statistical analyses under different algorithms were conducted and biological/evolutionary inferences were drawn. …”
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Revealing long-term dynamics and spatiotemporal drivers of anthropogenic nutrients inputs in China: The effects of dietary and socioeconomic factors by Jia Liu, Wei Gao, Fen Guo, Yuan Zhang, Yanpeng Cai

“…Great variation of NANI and NAPI evolution patten was found in different regions. Eastern and southern provinces (e.g., Henan, Shanghai) had the highest inputs, while western regions (e.g., Tibet) had the lowest, correlating with economic and population density disparities. …”
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Structure and Dynamics of Erupting Solar Prominences Using the Rolling Hough Transform: Toward a Feature-oriented Classification by Harry Birch, Stéphane Régnier

“…The spatial RHT method enables us to extract structural information and localized dynamics for both events and the different evolution phases. We develop a classification to label the prominences as either radially or tangentially oriented structures. …”
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Kinematics of Supernova Remnants Using Multiepoch Maximum Likelihood Estimation: Chandra Observation of Cassiopeia A as an Example by Yusuke Sakai, Shinya Yamada, Toshiki Sato, Ryota Hayakawa, Nao Kominato

“…To investigate asymmetric structures, such as singular components that deviate from the direction of expansion, the MLE method was extended to combine multiple computational domains and classify kinematic properties using the k -means algorithm. This approach allowed for the mapping of different physical states onto the image, and one classified component was suggested to interact with circumstellar material by comparison with infrared observations from the James Webb Space Telescope. …”
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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. …”
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An Interpretable Method for Asphalt Pavement Skid Resistance Performance Evaluation Under Sand-Accumulated Conditions Based on Multi-Scale Fractals by Yuhan Weng, Zhaoyun Sun, Huiying Liu, Yingbin Gu

“…The performance of mainstream machine learning models is compared, and the eXtreme Gradient Boosting (XGBoost) model is optimized using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The SHapley Additive exPlanations (SHAP) method is used to analyze the optimal model’s interpretability. …”
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Linking patterns to processes: Using hunting bag data to classify raccoon (Procyon lotor) invasion stages in Germany since the 2000s by Sarah Cunze, Gaby Schneider, Norbert Peter, Sven Klimpel

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Characterizing Heterogeneity within Head and Neck Lesions Using Cluster Analysis of Multi-Parametric MRI Data. by Marco Borri, Maria A Schmidt, Ceri Powell, Dow-Mu Koh, Angela M Riddell, Mike Partridge, Shreerang A Bhide, Christopher M Nutting, Kevin J Harrington, Katie L Newbold, Martin O Leach

“…<h4>Results</h4>The clustering algorithm was able to separate clusters which significantly reduced in voxel number following induction chemotherapy from clusters with a non-significant reduction. …”
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Optimization of modeling and temperature control of air-cooled PEMFC based on TLBO-DE by Pu He, Jun-Hong Chen, Chen-Zi Zhang, Zi-Yan Yu, Ming-Yang Wang, Jun-Yu Chen, Jia-Le Song, Yu-Tong Mu, Kun-Ying Gong, Wen-Quan Tao

“…To match the simulation data with the experimental data, Teaching Learning Based Optimization–Differential Evolution (TLBO-DE) is proposed to identify the unknown parameters, and the maximum relative error is <3.5 %. …”
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Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of th... by Luc Simirore Diatta, Katia Schörle, Zahra Akacha, Semah Bettaieb, Ali Drine, Ameur Oueslati, Luc Lapierre

“…The results show that the extraction method based on the WaterShed algorithm is the most accurate compared with coastlines obtained by manual extraction. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…Gradient boosting machine (GBM) models were optimized using advanced algorithms like self-adaptive differential evolution (SADE), evolution strategy (ES), Bayesian probability improvement (BPI), and Batch Bayesian optimization (BBO). …”
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Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem by Dumont, Marc, Plagnes, Valérie, Lachassagne, Patrick, Guérin, Roger, Nugraha, Bayu, Mohamad, Febriwan, Oudin, Ludovic, Fadillah, Arif, Valdès, Danièle, Brocard, Gilles, Bonjour, Jean-Luc, Saadi, Mohamed, Esneu, Anne-Sophie, Muhammad, Aswar, Hendarmawan, Dörfliger, Nathalie

“…The elevation of the recharge area was identified using isotopic analysis of spring water.After designing the hydrological model structure, we carried out a probabilistic parameters exploration using the multiple-try differential evolution adaptive Metropolis algorithm to calibrate aquifer discharge. …”
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Spatiotemporal variations of the United Arab Emirates coastline each decade from 1991 to 2021 by Justine Sarrau, Khameis Al Abdouli, Abdelgadir Abuelgasim

“…To address this gap, an algorithm was developed to automatically extract the coastline from satellite imagery using the Direct Difference Water Index (DDWI), an index that recently showed its efficiency in coastline extraction, the Otsu threshold, a fill operator and the Canny edge detector. …”
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Rheological changes in melts and magmas induced by crystallization and strain rate by Vetere, Francesco, Iezzi, Gianluca, Perugini, Diego, Holtz, Francois

“…An attempt to model available literature data for less evolved systems in dynamic scenarios and a comparison with MELTS algorithm approach (thermodynamic equilibrium conditions) is provided. …”
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Evaluation and Analysis of Next-Generation FY-4A LPW Products over Various Climatic Regions in China by Wenyuan Zhang, Xinyu Xiao, Jinsong Peng, Shubi Zhang, Endrit Shehaj, Gregor Moeller

“…A surface pressure calibration algorithm for ERA5 data is developed to calculate accurate ERA5 LPW products. …”
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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…In recent years, e-learning technologies are rapidly gaining momentum in their evolution. In this regard, issues related to improving the quality of software for virtual educational systems are becoming topical: increasing the period of exploitation of programs, increasing their reliability and flexibility. …”
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