Research of application of DFT-modulated filter bank in systems with significant spectral component amplification by N. S. Sanko, M. I. Vashkevich

“…In future it is planning to develop a procedure for optimizing the DFT-modulated filter bank based on the proposed efficient algorithms for calculating distortion and spectral aliasing in the filter bank.…”
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Research on Multi-vehicle Cooperative Simulation Platform for Intelligent Driving System of Mine Truck by NIU Lipeng, ZHANG Sha, ZHANG Zhaoyang, CHEN Huaguo, QING Guangming

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Parametric BIM and Machine Learning for Solar Radiation Prediction in Smart Growth Urban Developments by Seongchan Kim, Jong Bum Kim

“…For ML model creation, four algorithms were compared and tested with several data diagnosis techniques. …”
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Radiomic Analysis and Liquid Biopsy in Preoperative CT of NSCLC: An Explorative Experience by Maria Paola Belfiore, Mario Sansone, Giovanni Ciani, Vittorio Patanè, Carlotta Genco, Roberta Grassi, Giovanni Savarese, Marco Montella, Riccardo Monti, Salvatore Cappabianca, Alfonso Reginelli

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A dynamic cobweb resistance network solution based on a structured zeroing neural network and its applications by Xiaoyu Jiang, Dexin Meng, Yanpeng Zheng, Zhaolin Jiang

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RETRACTED: Challenges and opportunities of big data analytics in healthcare by Priyanshi Goyal, Rishabha Malviya

“…Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. …”
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Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks by Witwisit Kesornsit, Yaowarat Sirisathitkul

“…This study presents a hybrid machine learning model by integrating dimensionality reduction and feature selection algorithms with a backpropagation neural network (BPNN) to predict electricity consumption in Thailand. …”
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Dynamic model of an optical channel for a quantum key distribution system in MATLAB Simulink by Kirill I. Chukov, Vladimir A. Fayerman, Daniil V. Kurkov, Evgeny V. Antropov

“…Improving post-processing algorithms for key information transmitted via optical channels, as well as planning the architecture of quantum networks require realistic data. …”
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Harnessing Artificial Intelligence in Cardiology: Advancements in Diagnosis, Treatment, and Patient Care by Muhammad Hamza Shuja, Firzah Shakil, Syed Hasan Shuja, Minal Hasan, Maliha Edhi, Abeera Farooq Abbasi, Afia Jawaid, Shajia Shakil

“…In addition, AI facilitates personalized treatment plans by predicting patient responses to specific medications and adjusting therapies in real time. …”
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Improving Unplugged Computational Thinking Skills Through Integrated Problem-Based and Differentiated Learning in Indonesia by Dewi Oktaviani, Susilo Satanti

“…The improvement of computational thinking ability is caused by: data collection activities in the form of dice/coin simulations, abstraction activities of sample points and important information in the problem, activities to formulate solution steps (algorithms) and data analysis activities in the form of interpretation of results and calculations. …”
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Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data by Miaoyi Li, Ningrui Zhu

“…Departing from existing data weighting algorithms, this research applies artificial intelligence techniques, utilizing the categorical information of AOI data as labels. …”
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Biosample collection in a biobank to solve problems of personalized medicine by O. V. Kopylova, A. I. Ershova, A. N. Meshkov, M. S. Pokrovskaya, I. A. Efimova, A. S. Limonova, A. V. Blokhina, Z. Z. Serebryanskaya, S. A. Smetnev, V. I. Mikhailina, R. P. Myasnikov, A. V. Kiseleva, E. V. Garbuzova, V. A. Metelskaya, A. L. Borisova, O. M. Drapkina

“…The collection of biomaterial from project patients was carried out on a planned basis with the inpatient department, as well as upon referral from outpatient doctors. …”
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A Big-Data-Driven Framework for Parking Demand Estimation in Urban Central Districts by Yunlin Guan, Yun Wang, Xuedong Yan, Haonan Guo, Yu Zhou

“…The first step is the parking zone division method, which is based on the statistical information grid and multidensity clustering algorithms. …”
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Methodology of evaluation and correction of geometric data topology in QGIS software by Anita Kukulska, Tomasz Salata, Katarzyna Cegielska, Marta Szylar

“…Geographical Information Systems (GIS) has revolutionised the process of collecting and processing data, therefore, more and more data recorded in an analogue form are transformed into the digital format. …”
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REU-Net: A Remote Sensing Image Building Segmentation Network Based on Residual Structure and the Edge Enhancement Attention Module by Tianen Yuan, Bo Hu

“…This method provides a reliable foundation for the further optimization of building segmentation algorithms for remote sensing images.…”
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DX single-lead implantable cardioverter-defibrillator system with a floating atrial dipole: when, to whom, and why? by A. V. Prokopenko, E. A. Ivanitsky

“…The article reflects information for cardiologists, cardiac surgeons, doctors pro­gramming implanted antiarrhythmic devices, employees and residents of the depart­ments of cardiology and cardiac surgery. …”
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Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…The image processing approach involves color-based segmentation, pixel-level analysis, and machine learning algorithms to determine congestion levels across the highway network. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Automatic building detection and extraction algorithms using high spatial resolution aerial images can provide precise location and geometry information, significantly reducing time, costs, and labor. …”
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The effect of propofol on the grading of diastolic function: a prospective observational study by Shalin Desai, Zachary Hamilton, Lynh McCloskey, Orode Badakhsh, David Li, Neal W. Fleming

“…Methods This was an analysis of a subset of data from a prospective, observational, single-center study. Written informed consent was obtained from patients who were at least 18 years of age and undergoing elective, non-cardiac surgery with planned use of intra-arterial blood pressure monitoring. …”
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Factores clave en la práctica de la Ciencia Abierta. Un análisis multivariado en el contexto universitario = Key Factors in Open Science Practice: A Multivariate Analysis within th... by Sebastián Araya-Pizarro, Héctor García-Leal

“…Data were analyzed using descriptive statistical techniques, association tests, and multivariate analysis (binary logistic regression and K-means algorithm). Results revealed that the willingness to engage in open science is strongly influenced by knowledge, interest, and educational level, and moderately by the participant’s role. …”
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