Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

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Pertinence of contact duration as edge feature for epidemic spread analysis by Ramya D. Shetty, Shrutilipi Bhattacharjee

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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

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Mechanisms for Secure Access to Data of Scientometric Systems Using Virtual DBMS by Alexander Kozitsin, Maxim Zanchurin

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Searching for Similar Subgraphs in an Unweighted Undirected Graph by Computing Isomorphic Path Sets by Valentin Sysoev, Aleksandr Bykov

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An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases by Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang

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Determination of Anatolian Plate’s tectonic block boundaries with clustering analysis using GNSS sites velocities by Şeyma Şafak Yaşar, İbrahim Tiryakioğlu, Bahadır Aktuğ, Hediye Erdoğan, Çağlar Özkaymak

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Application of Serial Crystallography for Merging Incomplete Macromolecular Crystallography Datasets by Ki Hyun Nam

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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

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Control-Relevant Adaptive Personalized Modeling From Limited Clinical Data for Precise Warfarin Management by Affan Affan, Jacek M. Zurada, Tamer Inanc

“…It is shown by rigorous simulations that the proposed framework can accurately predict a patient's doseresponse characteristics and it can alert the clinician whenever identified models are no longer suitable for prediction and adapt the model to the current status of the patient to reduce the prediction error.…”
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A Machine Learning Platform for Isoform-Specific Identification and Profiling of Human Carbonic Anhydrase Inhibitors by Lisa Piazza, Miriana Di Stefano, Clarissa Poles, Giulia Bononi, Giulio Poli, Gioele Renzi, Salvatore Galati, Antonio Giordano, Marco Macchia, Fabrizio Carta, Claudiu T. Supuran, Tiziano Tuccinardi

“…In this work, we present a machine learning (ML)-based platform for the isoform-specific prediction and profiling of small molecules targeting hCA I, II, IX, and XII. …”
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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…High sludge ratios significantly suppress yield, primarily because the high ash content (59.1%) dilutes the organic biomass concentration. Finally, a genetic algorithm combined with an ANN was used to predict the optimal process conditions for the co-HTL of MS and microalgae, achieving a maximum biocrude yield of 32.2%. …”
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Long-term satellite records of water clarity suggest increasing human activity influence in an inland lake by Jian Wang, Deyong Sun, Shengqiang Wang, Hailong Zhang, Yue Zhang, Miao He

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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…The results show that random forest and ensemble learning algorithms delivered the highest predictive accuracy, evidenced by the most substantial coefficient of determination (R2) and minimal error metrics. …”
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Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS by Polina Lemenkova

“…The methodology includes ML modules of GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, and ‘r.random’ with algorithms of supervised classification implemented from the Scikit-Learn libraries of Python. …”
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LEAVES: An Expandable Light-curve Data Set for Automatic Classification of Variable Stars by Ya Fei, Ce Yu, Kun Li, Xiaodian Chen, Yajie Zhang, Chenzhou Cui, Jian Xiao, Yunfei Xu, Yihan Tao

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A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis by Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, Emmanuel Soriano Flores, Roberto Garcia Lara, Md. Abdus Samad, Imran Ashraf

“…We observed that ensemble and hybrid models with long short-term memory (LSTM) and support vector machines (SVM) are being more adopted for financial trends and price prediction. Moreover, hybrid models employing AI algorithms for feature engineering have great potential at par with ensemble techniques. …”
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Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design by Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

“…First, we construct two classification models using ML algorithms to predict the presence or absence of the L12 phase and other phases, respectively. …”
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ARAN: Age-Restricted Anonymized Dataset of Children Images and Body Measurements by Hezha H. MohammedKhan, Cascha Van Wanrooij, Eric O. Postma, Çiçek Güven, Marleen Balvert, Heersh Raof Saeed, Chenar Omer Ali Al Jaf

“…To create a suitable reference, we trained state-of-the-art deep learning algorithms on the ARAN dataset to predict body measurements from the images. …”
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A review of interactions between irrigation and evapotranspiration by Ziyuan Gong, Fei Gao, Xinyu Chang, Tianqi Hu, Yaping Li

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