First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

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Real-Time Trajectory Planning and Effectiveness Analysis of Intercepting Large-Scale Invading UAV Swarms Based on Motion Primitives by Yue Zhang, Xianzhong Gao, Jian’an Zong, Zhihui Leng, Zhongxi Hou

“…We have proposed an algorithmic framework based on three genetic operators for solving multi-target interception trajectories, offering certain advantages in terms of solution accuracy and speed compared to other optimization algorithms. …”
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Application of artificial intelligence in modern healthcare for diagnosis of autism spectrum disorder by Abdullah H. Al-Nefaie, Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Theyazn H. H. Aldhyani, Sultan Ahmad, Eidah M. Alzahrani

“…In this research, ResNet50, Inception-V3, and VGG-19 models were used to identify autism based on the facial traits of children. …”
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Old Wine in New Wineskins: Applying Computational Methods in New Testament Hermeneutics by Christian Houth Vrangbæk, Eva Elisabeth Houth Vrangbæk, Jacob Mortensen

“…This article explores some of the advantages and disadvantages in employing computational/algorithmic approaches, such as so-called semantic models of word embedding and topic modelling analysis. …”
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Phonon-mediated high-temperature superconductivity in clathrate superhydride ThCeH18 under pressure by Prutthipong Tsuppayakorn-aek, Wei Luo, Thiti Bovornratanaraks

“…The discovery of new phases of metal hydrides is vital for advancing this area of research. In our study, we present the superconducting phases of ThCeH18 using a search strategy based on potential energy surfaces and evolutionary algorithms under pressure. …”
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An Approach to Non-left Main Bifurcation Lesions: A Contemporary Review by Ali Nazmi Calik, F Aaysha Cader, Erik Rafflenbeul, Sercan Okutucu, Saidur Rahman Khan, Ismail Polat Canbolat, Umit Yasar Sinan, Mirvat A Alasnag

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A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…In recent years, Deepfake algorithms have been designed to exchange faces or modify facial features, potentially leading to more severe problems in this context. …”
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Comment on “Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation” by Hinpetch Daungsupawong, Viroj Wiwanitkit

“…By incorporating advanced imaging techniques and machine learning algorithms, researchers can improve the accuracy and efficiency of diagnostic processes. …”
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Frequency model of an essentially nonlinear steering drive with a digital microcontroller by S. V. Gryzin

“…In particular, the requirement for a sharp suppression of the amplitude-frequency characteristic at the frequency of UAV bending vibrations with minimal phase distortions in the control band of the longitudinal and lateral channels of the stabilization system can significantly complicate the task of researching the stability of the UAV motion control system. …”
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The Author's Reply by Mohamad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davari Dolatabadi

“…By integrating advanced imaging modalities and machine learning algorithms, researchers can indeed enhance diagnostic accuracy and efficiency, thereby improving patient outcomes.Additionally, we agree with the commenter’s recommendation regarding the necessity for healthcare professionals to receive adequate training in AI technology. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The goal of the study is to construct comprehensive tools for forecasting regional economic growth based on integration of big data technologies and modern business analytics methods. The research methodology includes modified machine learning algorithms specifically adapted for regional data analysis, using both structured and unstructured information sources. …”
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Old Drugs, New Indications (Review) by I. I. Miroshnichenko, E. A. Valdman, I. I. Kuz'min

“…Machine learning (ML) algorithms: Bayes classifier, logistic regression, support vector machine, decision tree, random forest and others are successfully used in biochemical pharmaceutical, toxicological research. …”
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Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs by Xin-Jia Cai

“…This perspective provides a summary of the existing research and prospects for the application of AI to epithelial dysplasia in multiple organs. …”
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An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods by Muhammad Junaid Ibrahim, Jaweria Kainat, Hussain AlSalman, Syed Sajid Ullah, Suheer Al-Hadhrami, Saddam Hussain

“…In the medical and healthcare field, the classification of patients’ activities is important for providing the required information to doctors and physicians for medication reactions and diagnosis. Nowadays, some research approaches to recognize human activity from videos and images have been proposed using machine learning (ML) and soft computational algorithms. …”
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A New Paradigm for Automated Gate Systems: From Localization to Transactions Utilizing UWB by Junyoung Choi, Jinwook Seo, Joohyun Lee

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Prediction of Corona-Virus Using Deep Learning by Laith Al-Ali

“…The data set is divided into 75% of the training data and 25% of the test data after applying deep learning algorithms. Python libraries such as pandas, NumPy, and matplotlib are also used in addition to sklearn and Keras. …”
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MOBILE APPLICATIONS FOR TASKS OF DISTANCE LEARNING by T. A. Demenkova, V. S. Tomashevskaya, I. S. Shirinkin

“…This will reduce the time when solving difficult tasks as related to hardware implementation of algorithms for digital processing of information. Thus, we can speak about the expansion of the research part of this scientific project and the emerging possibility of using a mobile application for research and implementation of practices for obtaining professional skills and professional experience that occupy a significant place in the curriculum of undergraduates. …”
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Advancements in Parkinson’s Disease Diagnosis: A Comprehensive Survey on Biomarker Integration and Machine Learning by Ruchira Pratihar, Ravi Sankar

“…This comprehensive review explores the advancements in machine learning algorithms in the diagnosis of Parkinson’s disease (PD) utilizing different biomarkers. …”
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An EEMD-Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis by Bo Li, Lixin Zhang, Qiling Zhang, Shengmei Yang

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