A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…Fly ash-based geopolymer (FAGP) is a promising supplementary cementitious material in the concrete industry, which can improve the sustainability and performance of concrete. …”
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Analysis of graphene coatings on various metallic/oxide crystal/composite material substrates using machine learning for enhanced solar thermal energy conversion by Khaled Aliqab, Dhruvik Agravat, Shobhit K. Patel, Ammar Armghan, Naim Ben Ali, Meshari Alsharari

“…Of much potential interest are the solar absorbers developed using these materials in fields such as solar thermal energy harvesting, air/water heaters, and industrial heating systems.…”
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Optimizing the PM2.5 Tradeoffs: The Case of Taiwan by Shihping Kevin Huang, Sin-Yao Chen, Kuei-Lan Chou, Wei Chung Hsu, Kang-Hua Lai, Tung-Hung Chueh, Lopin Kuo, William Lu

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BANKING SERVICE INNOVATIONS AND CUSTOMER SATISFACTION IN ILORIN METROPOLIS OF NIGERIA by Lukman Adebayo Oke ABDULRAUF, Emmanuel Semilore Tinuoye, Yusuf Olamilekan Quadri, Fatai Akosile

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Quantitative Indicator for Objective Assessment of Software Process Quality and Performance by Muhammad Adeel Mannan, Jahangir Khan, Hira Zafar

“…To address these limitations, this study introduces an innovative, semi-automatic method for assessing software processes, leveraging machine learning techniques. We define the problem as a sequence classification challenge that can be effectively tackled using machine learning algorithms. …”
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Implementation of the 5IR for efficient service delivery in the public sector, South Africa by Amos Shibambu

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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

“…Thus, the proposed method is innovative and can potentially improve forecasting systems in the healthcare industry.…”
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A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS by DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN

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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

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Learning exactly linearizable deep dynamics models by Ryuta Moriyasu, Masayuki Kusunoki, Kenji Kashima

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An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems by Yi-ming Li, Jia-long Tian, Zhou-hua Jiang

“…This study uses CaF2–Al2O3–CaO–MgO–SiO2 quaternary slag as an example and sets a commonly used slag composition screening range based on industrial practice. By utilizing FactSage thermodynamic data and machine learning (ML), the liquidus temperatures of all slags within this screening range are calculated. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…Finally, we evaluate our proposed method against some of the most popular ML methods, including a k-nearest neighbor, support vector machine, random forest, decision tree, logistic regression, and extreme gradient boosting (Xgboost). …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Again, this research used a strong methodology by incorporating Machine learning (ML) algorithms, such as: Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Linear Regression Model (LRM), were applied to forecast and confirm the quality of the water. …”
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Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazayuki Honkawa, Yoichiro Horii

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Design and Fabrication of Hydraulic Scissor Lift Platform. by Muhindo, Boneface

“…The overall objective of this paper is to design and fabricate a double scissors lift device elevated by one hydraulic cylinder that can be used in the automobile garages, industry, warehouses. The machine is tested by lifting different weights and it is successful and can lift up to the recommended weight of 300kg efficiently without any problem. …”
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Design and Fabrication of Hydraulic Scissor Lift Platform. by Muhindo, Boneface

“…The overall objective of this paper is to design and fabricate a double scissors lift device elevated by one hydraulic cylinder that can be used in the automobile garages, industry, warehouses. The machine is tested by lifting different weights and it is successful and can lift up to the recommended weight of 300kg efficiently without any problem. …”
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Analisis Sentimen Berbahasa Inggris Dengan Metode Lstm Studi Kasus Berita Online Pariwisata Bali by Ngakan Made Krisna Sedana, I Nyoman Saputra Wahyu Wijaya, I Ketut Resika Arthana

“…Implikasi temuan ini dapat memberikan wawasan lebih dalam tentang persepsi dan respon terhadap berita pariwisata Bali, sekaligus menunjukkan potensi aplikasi model machine learning dan metode LDA dalam analisis tren industri pariwisata.   …”
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Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model by Bing Liu, Yirui Zhang

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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…Hence, entity matching, i.e. the process of linking data about a given entity gathered from multiple data sets, is a major problem in artificial intelligence with applications in science and industry. Typical methods for entity matching either use specialized algorithms or supervised machine learning. …”
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