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  1. 1081

    The intervention of music education on adolescents’ subjective well-being from the perspective of sustainable development: a bibliometric review based on literature from 2000 to 20... by Lan Shen, Weijia Yang, Weijia Yang

    Published 2025-06-01
    “…Findings reveal a two-stage “hiatus–surge” pattern in publication trends; the emergence of a collaborative network among core authors, albeit with an imbalanced geographic distribution dominated by North America and Europe; and five principal thematic clusters following a three-stage spiral progression—from targeted education interventions for special groups, through general adolescent development, to professional public-health services. …”
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  2. 1082

    What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends by FERNANDO GOMES, SHEKHAR BHANSALI, FABÍOLA MARANHÃO, VIVIANE VALLADÃO, KARINE VELASCO

    Published 2025-07-01
    “…We improve the detection and understanding of both established and new techniques by integrating regex-based pattern detection with the Llama 3.2:3b language model. …”
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  3. 1083

    Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms by Manny Villa, Eduardo Casilari

    Published 2025-05-01
    “…This study introduces a hybrid system that integrates a threshold-based model for preliminary detection with a deep learning-based approach that combines a CNN (Convolutional Neural Network) for spatial feature extraction with a LSTM (Long Short-Term Memory) model for temporal pattern recognition, aimed at improving classification accuracy. …”
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  4. 1084

    Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

    Published 2023-01-01
    “…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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    Article
  5. 1085
  6. 1086

    A high-performance tensor computing unit for deep learning acceleration by Qiang Zhou, Tieli Sun, Taoran Shen, York Xue

    Published 2025-06-01
    “…The increasing complexity of neural network applications has led to a demand for higher computational parallelism and more efficient synchronization in artificial intelligence (AI) chips. …”
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  7. 1087

    A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

    Published 2024-01-01
    “…It can be either in images or in videos. Finding a correct pattern is a challenging task. AD is crucial for various applications, including network security, fraud detection, predictive maintenance, fault diagnosis, and industrial and healthcare monitoring. …”
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  8. 1088
  9. 1089

    Investigating hydraulic anisotropy of fractured rock mass using three-dimensional numerical modelling and laser scanning: a case study at South Crofty mine in Cornwall, UK by Lingfeng He, Matthew Eyre, John Coggan, Steve Holley, Dave Watkins

    Published 2025-08-01
    “…However, limited research has explored the hydraulic anisotropy of rock masses containing stochastically distributed fracture networks. This study addresses this gap by developing a three-dimensional (3D) stochastic discrete fracture network (DFN) model to assess hydraulic anisotropy and investigate the influence of fracture properties on the representative elementary volume (REV). …”
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    Article
  10. 1090

    Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

    Published 2023-01-01
    “…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
    Get full text
    Article
  11. 1091

    Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

    Published 2019-09-01
    “…Finally, the land use pattern of Gilan Province was simulated for 2046. …”
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  12. 1092
  13. 1093

    Planning for Cultural Connectivity: Modeling and Strategic Use of Architectural Heritage Corridors in Heilongjiang Province, China by Lyuhang Feng, Jiawei Sun, Tongtong Zhai, Mingrui Miao, Guanchao Yu

    Published 2025-06-01
    “…A comprehensive analytical framework is established by integrating the nearest neighbor index, kernel density estimation, minimum cumulative resistance (MCR) model, entropy weighting, circuit theory, and network structure metrics. Kernel density analysis reveals a distinct spatial aggregation pattern, characterized by “one core, multiple zones.” …”
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  14. 1094
  15. 1095

    Deep Hierarchical Representation from Classifying Logo-405 by Sujuan Hou, Jianwei Lin, Shangbo Zhou, Maoling Qin, Weikuan Jia, Yuanjie Zheng

    Published 2017-01-01
    “…We introduce a logo classification mechanism which combines a series of deep representations obtained by fine-tuning convolutional neural network (CNN) architectures and traditional pattern recognition algorithms. …”
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  16. 1096

    Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

    Published 2021-05-01
    “…This representation has unveiled patterns characterizing the emergence of new scientific fields through the study of collaboration networks and the path of impactful discoveries through the study of citation networks. …”
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  17. 1097

    CPG-Based Control of an Octopod Biomimetic Machine Lobster for Mining Applications: Design and Implementation in Challenging Underground Environments by Jianwei Zhao, Haokun Zhang, Mingsong Bao, Boxiang Yin, Yiteng Zhang, Zhen Jiang

    Published 2025-07-01
    “…Central pattern generators (CPGs) have been extensively researched and validated as a well-established methodology for bionic control, particularly within the field of legged robotics. …”
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  18. 1098

    Enhanced Skin Lesion Classification Using Deep Learning, Integrating with Sequential Data Analysis: A Multiclass Approach by Azmath Mubeen, Uma N. Dulhare

    Published 2025-01-01
    “…Additionally, Markov random fields (MRFs) enhance pattern recognition. The integrated system classifies lesions and evaluates whether they are responding to treatment or worsening, achieving 93% accuracy in distinguishing nodules, melanoma, and basal cell carcinoma. …”
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  19. 1099

    A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing by Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou

    Published 2020-01-01
    “…To evaluate the effectiveness of the proposed method, both the BP neural network and RBF neural network are used to set up a multigroup comparison test. …”
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  20. 1100

    Pathway-like Activation of 3D Neuronal Constructs with an Optical Interface by Saeed Omidi, Yevgeny Berdichevsky

    Published 2025-03-01
    “…These neurite bundles were then optogenetically stimulated, and evoked responses were evaluated by calcium imaging. Optical stimulation was designed to deliver distinct input patterns to the network in the 3D construct, mimicking sensory pathway inputs to cortical areas in the intact brain. …”
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