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  1. 741

    Development of a New Correlation Model for Heat Transfer in Solar Air Heater with Corrugated Absorber Plates Using Swarm Optimization by Abdulkadir Kocer, Uğur Ercan, Zeki Yetgin, Filiz Karaomerlioglu

    Published 2024-11-01
    “…Solar air heaters play a crucial role in distributing heated air at low to medium temperatures. The heart of these systems lies in the absorber plate, which directly absorbs solar heat energy and then efficiently transfers it to the flowing air. …”
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  2. 742

    Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

    Published 2024-11-01
    “…Addressing regulatory and ethical challenges, such as data privacy and algorithm transparency, is crucial for the broader adoption of these advanced technologies. …”
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  3. 743

    A Decentralized Multi-Venue Real-Time Video Broadcasting System Integrating Chain Topology and Intelligent Self-Healing Mechanisms by Tianpei Guo, Ziwen Song, Haotian Xin, Guoyang Liu

    Published 2025-07-01
    “…Additionally, a WebSocket-based real-time fault detection algorithm coupled with a rapid fallback self-healing mechanism is developed, enabling millisecond-level fault detection and swift restoration of disrupted links. …”
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    Article
  4. 744

    Global trends and characteristics of metal–organic frameworks in cancer research: a machine-learning-based bibliometric analysis by Heyuan Niu, Haipeng Du, Zhe Ji, Xiaoping Li, Wanyi Xiao, Anqi He, Ping Yu, Gang Liu

    Published 2025-06-01
    “…Although chemotherapy-based comprehensive therapies are common, their low accuracy and severe side effects limit effectiveness. …”
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    Article
  5. 745

    An object-based and Lagrangian view on an intense hailstorm day in Switzerland as represented in COSMO-1E ensemble hindcast simulations by K. P. Brennan, M. Sprenger, A. Walser, M. Arpagaus, H. Wernli

    Published 2025-06-01
    “…This exploration identifies specific low-level flow patterns that contribute to the storm's vigor. …”
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    Article
  6. 746

    Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

    Published 2024-12-01
    “…Furthermore, cyanobacteria occurrence was predicted using a random forest algorithm, with a linear regression model serving as a baseline for comparison. …”
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  7. 747

    Estación digital sismológica portátil sobre telefonía móvil celular e Internet by Vargas Jiménez Carlos A., Hincapie Jaime León, Rincon Botero Sergio

    Published 2001-08-01
    “…The station software allows detection of seismic events using the STA/LTA algorithm, as well as threshold detection, periodic capture and conrinuous channels capture. …”
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  8. 748

    A resected case of acinar cell carcinoma of the pancreas with liver metastasis following chemotherapy using modified FOLFIRINOX by Shuhei Yamada, Haruka Motegi, Yoshiki Kurihara, Tomonori Shimbo, Isao Kikuchi, Toshiki Wakabayashi, Tsutomu Sato

    Published 2023-08-01
    “…Contrast-enhanced computed tomography demonstrated a 110-mm low-density area occupying the right hemi-liver and an enhanced mass of 70 × 56 mm in the tail of the pancreas, which seemed to directly infiltrate into the spleen. …”
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  9. 749

    Pain in the Foot: Pathogenesis, Diagnosis and Treatment by Yatskevych A.

    Published 2014-12-01
    “…Accordingly, the effectiveness of treatment remains low. Thus, there is a need for further improvement of the ways of diagnosis and supervision of patients with pain in the foot.…”
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  10. 750

    Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

    Published 2025-06-01
    “…For the purpose of meteorological change prediction, the average Brier score remains around 0.08, indicating low error and high stability. In the context of economic trend prediction, the directional accuracy for GDP growth rate and unemployment rate is 94.17% and 95.35%, respectively, with inflection point detection deviations of only 0.9 and 1.2 quarters. …”
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    Article
  11. 751

    Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method by Ruoling Deng, Weisen Liu, Haitao Liu, Qiang Liu, Jing Zhang, Mingxin Hou

    Published 2024-10-01
    “…The test results showed that the root mean square error (<i>RMSE</i>) of spikelet length for two rice varieties (Huahang15 and Qingyang) were 0.26 mm and 0.30 mm, respectively, while the corresponding <i>RMSE</i> of spikelet width was 0.27 mm and 0.31 mm, respectively. The proposed algorithm can provide an effective, convenient and low-cost tool for yield evaluation and breeding research.…”
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  12. 752

    Application of Internet marketing tools for management decision-making by logistics enterprises by O.A., T.O., O.P., H.Yu.

    Published 2022-12-01
    “…The essence of the concepts of «targeted advertising», «conversion» and «Facebook Pixel» was defined. The algorithm for setting up targeted advertising on Facebook for logistics enterprises was developed and the forecast of the effectiveness of advertising campaigns in 2022 was made. …”
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  13. 753

    Optimizing miRNA-module diagnostic biomarkers of gastric carcinoma via integrated network analysis. by Fengbin Zhang, Wenjuan Xu, Jun Liu, Xiaoyan Liu, Bingjie Huo, Bing Li, Zhong Wang

    Published 2018-01-01
    “…Several microRNAs (miRNAs) have been suggested as novel biomarkers for diagnosing gastric cancer (GC) at an early stage, but the single-marker strategy may ignore the co-regulatory relationships and lead to low diagnostic specificity. Thus, multi-target modular diagnostic biomarkers are urgently needed. …”
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  14. 754

    CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

    Published 2022-06-01
    “…The analysis of technologies and circuit solutions allowed to draw the following conclusions: protection of IoT solutions includes: security of IoT network nodes and their connection to the cloud using secure protocols, ensuring confidentiality, authenticity and integrity of IoT data by cryptographic methods, attack analysis and network cryptographic stability; the initial basis for the protection of IoT solutions is the true randomness of the formed RNG sequences and used in algorithms for cryptographic transformation of information to protect it; feature of IoT devices is their heterogeneity and geographical distribution, limited computing resources and power supply, small size; The most effective (reduce power consumption and increase the generation rate) for use in IoT devices are RNG exclusively on a digital basis, which implements a three-stage process: the initial digital circuit, normalizer and random number flow generator; Autonomous Boolean networks (ABN) allow to create RNG with unique characteristics: the received numbers are really random, high speed – the number can be received in one measure, the minimum power consumption, miniature, high (up to 3 GHz) throughput of Boolean chaos; a promising area of ABN development is the use of optical logic valves for the construction of optical ABN with a bandwidth of up to 14 GHz; the classification of known classes of RNG attacks includes: direct cryptanalytic attacks, attacks based on input data, attacks based on the disclosure of the internal state of RNG, correlation attacks and special attacks; statistical test packages to evaluate RNG sequences have some limitations or shortcomings and do not replace cryptanalysis; Comparison of cryptoaccelerators with cryptographic transformation software shows their significant advantages: for AES block encryption algorithm, speeds increase by 10-20 times in 8/16-bit cryptoaccelerators and 150 times in 32-bit, growth hashing of SHA-256 in 32-bit cryptoaccelerators more than 100 times, and for the NMAS algorithm - up to 500 times. …”
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  15. 755

    An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

    Published 2024-12-01
    “…To facilitate efficient detection at the outbreak of forest fires, a bi-directional gated recurrent neural network (Bi-GRU-NN) is needed. …”
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  16. 756

    A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

    Published 2025-01-01
    “…We also define bottom-up parsing algorithms to recommend the suitable crowd prevention plan w.r.t. the crowd level. …”
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  19. 759

    Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

    Published 2025-09-01
    “…Lastly, the PSO algorithm is employed to search the latent space for optimal IL structures with the highest predicted solubility. …”
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  20. 760

    EN The toolkit for rising the efficiency of heat pump heating system using the accumulation of heat by walls of the building by А.Є. Денисова, М.І. Сергеєв

    Published 2025-03-01
    “…The analysis results can be used for designing the heating systems based on the heat pumps using the low-potential energy with heat accumulation by walls of the building. …”
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