Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

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Applying the language acquisition model to the solution small language processing tasks by Dz. I. Kachkou

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Model-informed deep-learning photoacoustic reconstruction for low-element linear array by Souradip Paul, S. Alex Lee, Shensheng Zhao, Yun-Sheng Chen

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A simulation model for identifying information security threats from low-frequency acoustoelectric transformations by D. A. Korochentsev, L. V. Cherkesova, K. A. Namavir

“…The model creates conditions for its active implementation in the educational process of training specialists in the field of information security, using both traditional (contact work) and distance learning formats.…”
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AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

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Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation by Sajed Rakhshani, Amirali Arbab, Aref Habibi, Mohsen Pourazizi, Mahnoosh Tajmirriahi, Farnaz Sedighin, Hossein Rabbani

“…The novelty of this work lies in the hybrid integration of data-driven deep-learning with a model-informed noise representation, specifically designed to address the very low signal-to-noise ratio (SNR) and low-resolution challenges in SS-OCT imaging. …”
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Energy optimization and low-carbon development of prefabricated buildings enabled by BIM technology by Wang Yuhong, Li Xiaoqin

“…Therefore, through literature research, model construction and case analysis, this paper explores the integrated application of BIM and energy management technology in prefabricated buildings, proposes a high-quality development evaluation model based on the Analytical Hierarchy Process (AHP)-fuzzy comprehensive evaluation method, and verifies the effectiveness of the model through the case of prefabricated building projects in Chengdu. …”
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Device models and technologies of data transmission and processing in the internet of things networks by V. A. Vishnyakov

“…The purpose of the article is to create an information model of IoT devices, to define technologies and protocols for data transmission and processing and routing in Internet of Things systems. …”
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Multi-fidelity information fusion for turbulent transport modeling in magnetic fusion plasma by Shinya Maeyama, Mitsuru Honda, Emi Narita, Shinichiro Toda

“…Multi-fidelity modeling combines low-fidelity data, which have low accuracy but many data points, with high-fidelity data, which are highly accurate but have few data points or small parameter ranges, to enhance the overall predictive accuracy of a model. …”
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DEVELOPMENT OF CONCEPTUAL AND LOGICAL MODEL OF INFORMATION SYSTEM FOR INTERNS by Svetlana Mirskaya

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Physics-informed modeling and process optimization of friction stir welding of AA7075-T6 with a zinc interlayer by Dejene Alemayehu Ifa, Dame Alemayehu Efa, Naol Dessalegn Dejene, Sololo Kebede Nemomsa

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The development of models of an analytical data processing system for monitoring information security of an informatization object using cloud infrastructure by V. A. Sizov, A. D. Kirov

“…A general model of the structure of information support of an analytical data processing system for monitoring information security, as well as a model of the dependence of the usefulness of information technology on time and the ratio of the skill level of an information security specialist and an attacker are presented. …”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

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Improving Acceptance to Sensory Substitution: A Study on the V2A-SS Learning Model Based on Information Processing Learning Theory by Kyeong Deok Moon, Yun Kyung Park, Moo Seop Kim, Chi Yoon Jeong

“…This study introduces a V2A-SS learning model based on the Information Processing Learning Theory (IPLT), encompassing the stages of “concept acquisition, rehearsal, assessment” to reduce the learning curve and enhance adaptation. …”
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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…To address this issue, we propose a hyperspectral reconstruction method based on global gradient information and local low-rank priors. First, to improve the prior model’s efficiency in utilizing information of different frequencies, we design a gradient sampling strategy and training framework based on decision trees, leveraging changes in the loss function gradient information to enhance the model’s predictive capability for data of varying frequencies. …”
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The assessment of applicability of single-stage piston long-stroke low-speed compressors in low-temperature refrigeration machines by V. L. Yusha, S. S. Busarov, A. V. Nedovenchany

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Exploring the interplay between pain processing mechanisms, psychosocial factors, and functional outcomes in patients with chronic low back pain: an exploratory study by Jaime Jordán-López, María D. Arguisuelas, Julio Doménech, M. Lourdes Peñalver-Barrios, Marta Miragall, Rocío Herrero, Rosa M. Baños, Juan J. Amer-Cuenca, Juan F. Lisón

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Analyzing the Economic Performance of a TLS-Based Structural Safety Diagnosis Process by Taewan Kim, Kyungsoo Wee, Namhyuk Ham, Jae-jun Kim

“…This study quantitatively assessed the productivity improvements and economic benefits of integrating terrestrial laser scanning (TLS) and building information modeling (BIM) into the structural safety assessment process. …”
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The Development of Small-Scale Language Models for Low-Resource Languages, with a Focus on Kazakh and Direct Preference Optimization by Nurgali Kadyrbek, Zhanseit Tuimebayev, Madina Mansurova, Vítor Viegas

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Model of adaptive information system for forecasting crop productivity by С. І. Мельник, О. І. Присяжнюк, Є. М. Стариченко, К. М. Мажуга, В. В. Бровкін, О. М. Мартинов, В. В. Маслечкін

“…Conclusions. Adaptive information system for forecasting productivity in the technological process of growing crops is formed on the basis of a model consisting of three modules of characteristics – the resultant and two components. …”
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