Changing “portrait” of patients with newly diagnosed idiopathic pulmonary hypertension over the past two decades by A. M. Shariya, T. V. Martynyuk

“…Chazov National Medical Research Center of Cardiology. The pts were divided into 2 subgroups depending on the time of diagnosis and were comparable in terms of the initial functional class (WHO). …”
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Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering by Sujin Ahn, Hun Wi, Tong In Oh, Alistair Lee McEwan, Sung Chan Jun, Eung Je Woo

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Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking by Nevrez Imamoglu, Enrique Dorronzoro, Zhixuan Wei, Huangjun Shi, Masashi Sekine, José González, Dongyun Gu, Weidong Chen, Wenwei Yu

“…Our research is focused on the development of an at-home health care biomonitoring mobile robot for the people in demand. …”
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O-Arm Imaging With Real-Time Control for Organ Motion Tracking: A Feasibility Study by Ashkan Ghorbanian, Mobin Salehi, Mohammad Sajad Sokout, Borhan Beigzadeh

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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The results support the great potential of quantum computing to improve the efficiency of medical predictions. The research involves converting data into quantum format, processing it with the K-Medoids algorithm, and evaluating its performance based on metrics such as intercluster distance and computation time. …”
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Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies by Bishwajit Dey, Gulshan Sharma, P.N. Bokoro

“…Demand response programmes are used in microgrid research without considering the different price elasticity of distinct load types. …”
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Exploring Generative AI for YOLO-Based Object Detection to Enhance Flood Disaster Response in Malaysia by Jiehan Teoh, Zuliani Binti Zulkoffli, Kian Meng Yap, Huang Shen Chua

“…By adopting a systematic approach with the You Only Look Once (YOLO) algorithm, the model is trained on gen-AI-produced synthetic images and tested using real drone-captured images from past flood events. …”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. …”
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Editorial by Christian Gütl

“…These contributions, together with the generous support of the KOALA initiative, maintain the quality of our journal.In the sixth regular issue, I am very pleased to present the following 4 accepted articles: Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, and Sylvio Barbon from Italy focus their research on synthetic data generation as an alternative to traditional data anonymization based on variational autoencoders to generate high-quality synthetic tabular datasets.Roger Vieira and Kleinner Farias from Brazil introduce in their research CognIDE, a tool-supported methodology that aims to seamlessly integrate psychophysiological data linked to cognitive indicators into VS Code by offering actionable contextual cues alongside dynamic source code.Pedro Henrique Dias Valle and Elisa Yumi Nakagawa from Brazil discuss in their research a catalog of the main interoperability architectural solutions for addressing the four levels of interoperability - namely technical, syntactic, semantic, and organizational – for solving interoperability issues in software systems by analyzing 65 studies from the scientific literature.Ji Woong Yoo, Kyoung Jun Lee and Arum Park from the Republic of Korea explore the potential of deep learning techniques - Long Short-Term Memory (LSTM) algorithm and Word2Vec model – for cleansing malicious comments from users, and enhancing the ethical nature of AI systems.Enjoy Reading!…”
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OPTIMIZATION OF THE MEASURING BASE OF THERMAL TAG FLOW METERS by M. S. Gayazov, R. K. Yarullin, D. V. Kosmylin

“…Materials and methods of the research. The research was carried out on a certiied thermohydrodynamic stand of Bashkir State University, using low-inertia temperature sensors (K-type thermocouples). …”
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Multi-objective design of fractional frequency-load control for hydro-thermal system considering nonlinear models and uncertainty by Xiaotong Ji, Heng Luo, Kan Cao, Dan Liu, Ping Xiong

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Preoperative predictors of thrombosis in children with congenital heart disease by V. A. Lastovka, R. F. Tepaev, O. B. Gordeeva, A. R. Bidzhiev, A. A. Chotchaeva

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History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA by Sungil Kim, Baehyun Min, Seoyoon Kwon, Min-gon Chu

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Inversion Method of Logging Data by Array Temperature Difference Flow Tool for Horizontal Wells in Tight Oil Reservoirs by CHEN Qiang, CHEN Meng, YUAN Chao, CHEN Tao, CHEN Wenhui, LIU Guoquan

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Calibration and Validation of Phase One Industrial Cameras by R. Ladstädter, K. Gutjahr, R. Perko, H. Woschitz

“…JOANNEUM RESEARCH has reviewed the geometric lab calibration workflow of Phase One A/S, investigating the calibration method from a theoretical point of view, but also by evaluation of an existing calibration project from their new lab in Denver, USA. …”
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Estimating net energy for activity for grazing beef cattle by integrating GPS tracking data, in-pasture weighing technology, and animal nutrition models by Logan Riley Vandermark, Jameson R. Brennan, Krista Ann Ehlert, Hector M. Menendez

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Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading by Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi

“…Methods: This study employs the Light Gradient Boosting Machine (LightGBM), an advanced ML algorithm, in combination with Explainable Artificial Intelligence (XAI) methodology to grade gliomas more effectively. …”
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A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

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Automatic Paddy Planthopper Detection and Counting Using Faster R-CNN by Siti Khairunniza-Bejo, Mohd Firdaus Ibrahim, Marsyita Hanafi, Mahirah Jahari, Fathinul Syahir Ahmad Saad, Mohammad Aufa Mhd Bookeri

“…Most of the available automated counting methods are limited to populations of a small density and often do not consider those with a high density, which require more complex solutions due to overlapping objects. Therefore, this research presents a comprehensive assessment of an object detection algorithm specifically developed to precisely detect and quantify planthoppers. …”
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