Multi-dimensional performance-based intelligent optimization of atrium building prototype with informed approach by Yiquan Zou, Yanyan Li, Han Chen, Benlin Xiao, Zhou Li

“…The effectiveness of the method in improving building performance and accelerating the design decision-making process is demonstrated, providing an innovative optimization tool for the field of building design.…”
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The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings by Esther Kok, Aneesh Chauhan, Michele Tufano, Edith Feskens, Guido Camps

“…We explored the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept, which automatically detects food ingredients inside closed sandwiches.MethodsIndividual spectra were selected from 24 hyperspectral images of assembled closed sandwiches, measured in a spectral range of 1116.14 nm to 1670.62 nm over 108 bands, pre-processed with Standard Normal Variate filtering, derivatives, and subsampling, and fed into multiple algorithms, among which PLS-DA, multiple classifiers, and a simple neural network.ResultsThe resulting best performing models had an accuracy score of ~80% for predicting type of bread, ~60% for butter, and ~ 28% for filling type. …”
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Predicting hotel booking cancellations to decrease uncertainty and increase revenue by Nuno Antonio, Ana de Almeida, Luis Nunes

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

“…The innovation of the development lies in the ability to provide an automated tool to support informed decision-making for the reuse of building steel for construction site professionals. …”
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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…This makes it a valuable tool for health monitoring and damage detection of buildings, bridges, wind turbines, and stadiums. …”
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Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain. by Olga Sánchez, María del Mar Barbero-Barrera

“…Building monitoring systems deliver large volumes of information and advanced data analysis tools are available. …”
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Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 by Leandro B. Díaz, Leandro B. Díaz, Leandro B. Díaz, Carla Gulizia, Carla Gulizia, Carla Gulizia, Shipra Jain, Shipra Jain, Gaby S. Langendijk, Hindumathi Palanisamy, Valentina Rabanal, Valentina Rabanal, Candice S. Charlton, Alima Dajuma, Felix K. Donkor, Temitope S. Egbebiyi, Temitope S. Egbebiyi, Ghafi Kondi Akara, Ghafi Kondi Akara, Amna Jrrar, Md Rezwan Siddiqui, Yassine Ait Brahim, Yassine Ait Brahim, Bapentire D. Angnuureng, Anna-Adriana Anschütz, Founi M. Awo, Founi M. Awo, Alejandro Builes-Jaramillo, Alison Cobb, Mohamadou A. Diallo, Mohamadou A. Diallo, Houda Er-Retby, Houda Er-Retby, Houda Er-Retby, Thierry C. Fotso-Nguemo, Benjamin Gwinneth, Masilin Gudoshava, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Inés M. Leyba, Inés M. Leyba, Redouane Lguensat, Redouane Lguensat, Roché Mahon, Shailendra K. Mandal, Lucia Mumo, Meshel Muzuva, Meshel Muzuva, Rodric M. Nonki, Juan A. Rivera, Juan A. Rivera, Alcade C. Segnon, Alcade C. Segnon, Laouali I. Tanimoune, Erlich-Honest E. I. Zauisomue, Gilbert Siame

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Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer by Chuanhe Shen, Junzhe Wu

“…The empirical study demonstrates that the model exhibits superior prediction accuracy compared to traditional machine learning assessment models, thereby offering a novel and efficacious tool for corporate credit risk assessment.…”
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Application of Ultrasound Radiomics in Differentiating Benign from Malignant Breast Nodules in Women with Post-Silicone Breast Augmentation by Ling Hao, Yang Chen, Xuejiao Su, Buyun Ma

“…Regions of interest (ROIs) were manually delineated using 3D Slicer software, and radiomic features were extracted and selected using Python programming. Eight machine learning algorithms were applied to build predictive models, and their performance was assessed using sensitivity, specificity, area under the ROC curve (AUC), accuracy, Brier score, and log loss. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…Early selection of optimal components and the development of reliable machine learning (ML) models can significantly reduce the time and cost associated with extensive experimentation. …”
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Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support by Serhat Aydin, Mert Karabacak, Victoria Vlachos, Konstantinos Margetis

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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. Consequently, power distribution operators can determine the optimal number and location of circuit breakers, remote-controlled sectionalizers, and manual switches in large-scale systems without mathematical optimization algorithms. …”
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Model of forecasting of material resources and estimated cost at early stages of life cycle of construction objects by M. V. Gureev, A. N. Makarov

“…The possibility of creating a forecasting tool based on artificial intelligence (AI) and machine learning (ML) technologies for these parameters seems to be a promising development direction, allowing to achieve a high level of accuracy in budget planning and project duration at the pre-project stage of an investment and construction project.Materials and methods. …”
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A Configuration Model for Hospital Design Support Systems by Zhuoran Jia, Pirouz Nourian, Peter Luscuere, Cor Wagenaar

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Development and Application of OoW Equipment for Gear Hobbing by Zhang Fujiang, Li Zhongshan, Cui Weiwei

“…It is of great significance to upgrade the traditional gear industry, develop new types of near dry cutting machine tools, and build green factories.…”
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MagNet—A Data‐Science Competition to Predict Disturbance Storm‐Time Index (Dst) From Solar Wind Data by Manoj Nair, Rob Redmon, Li‐Yin Young, Arnaud Chulliat, Belinda Trotta, Christine Chung, Greg Lipstein, Isaac Slavitt

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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. …”
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Developing a TinyML Image Classifier in an Hour by Riccardo Berta, Ali Dabbous, Luca Lazzaroni, Danilo Pietro Pau, Francesco Bellotti

“…We have verified the support for development effectiveness and efficiency on four ultralow resolution image-classification datasets, with different levels of input and task complexity. In all cases, the tool was able to build microcontroller-deployment ready, beyond the state-of-the-art models, within 1 h on Google Colab CPUs.…”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…How should learners acknowledge the use of AI tools in homework and assessments to avoid accusations of plagiarism? …”
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Innovative Transformations of Science-Intensive Industries in the National Economy of Azerbaijan: from Engineering to a Developed ICT Sector by Samira Abasova

“…If until 1990 the science-intensive industries of Azerbaijan were oil engineering, machine tool building, shipbuilding, instrument making, electrical engineering, then since 2013 Azerbaijan has become a space power and science-intensive and high-tech industries have become telecommunications and the ICT sector. …”
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