NOVEL PRINCIPLES OF MICROWAVE BAND RADIOELECTRONIC DEVICES DESIGN WITH THE USE OF MICROWAVE PHOTONICS TECHNOLOGY by M. E. Belkin, S. A. Kudzh, A. S. Sigov

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Noninvasive assessment of the fractional reserve of coronary blood flow with a one-dimensional mathematical model. Preliminary results of the pilot study by D. G. Gognieva, T. M. Gamilov, R. A. Pryamonosov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, S. K. Ternovoy, N. S. Serova, E. S. Tebenkova, E. A. Sinitsyn, E. S. Pershina, S. A. Abugov, G. V. Mardanyan, N. V. Zakryan, V. R. Kirakosyan, V. B. Betelin, Yu. O. Mitina, A. Yu. Gubina, D. Yu. Shchekochikhin, A. L. Syrkin, F. Yu. Kopylov

“…Specialists from the Laboratory of Mathematical Modeling processed CT images and evaluated noninvasive FFR. …”
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Information system of semantic search of the image to the text of advertising announcement by N. G. Shvets

“…In connection with the rapid development of information technology, modern society is in need of solving the problems of the accumulation, storage and automated processing of semiotically heterogeneous arrays of texts. …”
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Automated image-based condition assessment of the built environment: A state-of-the-art investigation of damage characteristics and detection requirements by Leila Farahzadi, Ibrahim Odeh, Mahdi Kioumarsi, Behrouz Shafei

“…Considering the difficulties and limitations associated with traditional inspection methods, there have been growing interests in utilizing image processing and computer vision strategies. Despite several developments, however, the state of the practice still lacks necessary insights on how such advanced strategies should be utilized to realize their expected benefits, in terms of ease, coverage, and accuracy. …”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…With the rapid development of large language model (LLM) technology, the demand for processing long-text inputs has been increasing. However, long-text inference faces challenges such as high memory consumption and latency. …”
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The Role of Nanoparticle Elasticity on Biological Hydrogel Penetration by Chathuri I. Sodimanage, Marc Schneider

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Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review by Adel Kabi, Jersson X. Leon-Medina, Francesc Pozo

“…Nonetheless, discrepancies remain, particularly in capturing energy dissipation processes in existing models. Future advancements in computational capabilities and techniques, such as high-resolution DNS for wave–structure interactions and improved near-field seismoacoustic modeling show potential for enhancing simulation accuracy. …”
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Improving Sewer Damage Inspection: Development of a Deep Learning Integration Concept for a Multi-Sensor System by Jan Thomas Jung, Alexander Reiterer

“…This approach enables the optimal detection and processing of relevant damage types, achieving higher accuracy for each compared to single-sensor systems.…”
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Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses by Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk

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Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network by S. Kumarganesh, K.V.M. Shree, P. Rishabavarthani, C. Ganesh, S. Anthoniraj, B. Thiyaneswaran, Lam Dang, K. Martin Sagayam, Linh Dinh, Hien Dang

“…The medical field has significantly advanced with advances in technology, with a focus on biomedical devices and early diagnosis. Image processing techniques and artificial intelligence are used to analyze the lung anatomy and ensure an accurate diagnosis of interstitial lung diseases. …”
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Optimizing the thermal system of electronic equipment using boron arsenide heat sink by N.K. Yurkov, I.M. Rybakov, E.A. Vershinin

An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

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Wearable Sensor-Based Exercise Monitoring System for Higher Education Students Using a Multi-Attribute Fuzzy Evaluation Model by Shiping Yu, Xiaowei Peng

“…In addition, the method uses preprocessing, fuzzification, defuzzification and rule evaluation processes. These steps are adjusted according to the threshold value that maximizes the personalization and holistic assessment efficiency because the system uses multiple attributes. …”
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Simplified polyp-canal system of stony coral Seriatopora hystrix protects its branching areas in the flow field by Yixin Li, Yixin Li, Zuhong Lu, Yunpeng Zhao, Chunpeng He

“…Seriatopora hystrix displays a unique structural trait, with its calices and canals making up only about 15% of the colony volume, lower than the 40-50% observed in other widely distributed genera such as Acropora, Montipora, Pocillopora, or Stylophora. We used micro-computed tomography to visualize the polyp-canal system of S. hystrix, quantify its growth parameters, and simulate the dynamic processes of polyp budding and movement. …”
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Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection by Tahesin Samira Delwar, Sayak Mukhopadhyay, Akshay Kumar, Mangal Singh, Yang-won Lee, Jee-Youl Ryu, A. S. M. Sanwar Hosen

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Impact of Input Image Resolution on Deep Learning Performance for Side-Scan Sonar Classification: An Accuracy–Efficiency Analysis by Xing Du, Yongfu Sun, Yupeng Song, Wanqing Chi, Lifeng Dong, Xiaolong Zhao

“…Using two distinct SSS datasets and a resolution-adaptive deep learning strategy employing MobileNetV2 and ResNet variants across six resolutions, we evaluated classification accuracy and computational metrics. Results demonstrate a clear inverse relationship: decreasing resolution significantly reduces computational load and processing times but lowers classification accuracy, with the degradation being more pronounced for the more complex four-class dataset. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…Future work will explore integrating deep learning methods that incorporate temporal attention mechanisms and automated removal processes.…”
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

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CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting by Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang

“…This significantly enhances the real-time data processing capability and reduces the deployment costs for risk management systems. …”
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Mango (Mangifera indica) tree detection and counting in mango orchard with satellite images using deep learning model YOLO: A comparative analysis by LALIT BIRLA, ANSHU BHARADWAJ, RAJNI JAIN, CHANDAN KUMAR DEB, VINAY KUMAR SEHGAL, RAMASUBRAMANIAN V

“…Experimental results reveal that YOLOv8 exhibits superior performance, achieving a well-balanced trade-off between detection accuracy, processing speed, and generalization. These findings highlight the potential of deep learning models for scalable orchard monitoring, precision agriculture, and sustainable fruit production. …”
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