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  1. 601

    Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo by Kanlanféi Sambiani, Yendoubé Lare, Adamou Zanguina, Satyanarayana Narra

    Published 2024-12-01
    “…Few studies have explored recurrent neural network models in municipal solid waste (MSW) generation forecasting regarding the inefficiency of conventional and probabilistic tools. This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
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  2. 602
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  4. 604

    Detecting expert’s eye using a multiple-kernel Relevance Vector Machine by Giuseppe Boccignone, Mario Ferraro, Sofia Crespi, Carlo Robino, Claudio de’Sperati

    Published 2014-04-01
    “…Decoding mental states from the pattern of neural activity or overt behavior is an intensely pursued goal. …”
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    Article
  5. 605

    Voice-Based Emotion Identification Based on Mel Frequency Cepstral Coefficient Feature Extraction Using Self-Organized Maps and Radial Basis Function by Asrivatun Nikmah, Auli Damayanti, Edi Winarko

    Published 2025-03-01
    “…Voice-based emotion identification is carried out to determine the pattern of emotions using the depth analysis mechanism of voice signal development and feature extraction that carries the emotional characteristic parameters of the speaker's voice. …”
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    Article
  6. 606

    Digital Economy in the Projection of the Economic Development Model: Realities of the Republic of Azerbaijan by E. A. Kuklina, E. A. Babayev

    Published 2019-12-01
    “…The article explores the economic model and identifies patterns of economic development in Azerbaijan in the postSoviet period. …”
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    Article
  7. 607

    Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

    Published 2025-08-01
    “…Subsequently, the Global Separability Index (GSI) was used to optimize feature selection. Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. …”
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    Article
  8. 608

    A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

    Published 2024-11-01
    “…This model processes deep, textural and contextual features obtained by using EfficientNet-B0, local binary pattern (LBP) and vision transformer (ViT) encoder as feature extractors, respectively. …”
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  9. 609

    Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

    Published 2025-06-01
    “…Scientific novelty in the form of development of autoregressive neural network model of accident rate forecasting to identify dependencies and patterns of data, which can improve the quality of accident rate forecasting, considering also the possibility of processing a large amount of data with information about the factors affecting the accident rate. …”
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    Article
  10. 610

    ACTUAL DISCOURE ABOUT TIPES FND DEVELOPMENT TENDENCIES NATIONAL STATE by E. G. Ponomareva

    Published 2013-08-01
    “…All this naturally makes urgent the issues related to the search for optimal models of nation state development. The article analyzes approaches to understanding patterns, problems and prospects of the development of this institution existing in modern political science. …”
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    Article
  11. 611

    Photo‐Thermal Approaches on Polyimide Film for Demonstration of Sub‐50 µm Polymer Stencil Mask by Bon‐Jae Koo, Jin‐Hyeong Lee, Hyo‐Kyung Kwon, Hwidon Lee, Joonsoo Jeong, Suk‐Kyun Ahn, Min‐Ho Seo

    Published 2025-07-01
    “…This approach successfully yielded micro‐patterns with feature sizes below 50 µm on polyimide film. …”
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  14. 614

    Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

    Published 2025-01-01
    “…Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. …”
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  17. 617

    Antitumor effect of recombinant interferon-gamma in an experimental model of Ehrlich’s bilateral solid carcinoma by V. G. Isaeva, L. Y. Grivtsova, L. P. Zhovtun, S. M. Samborsky, N. A. Falaleeva

    Published 2022-06-01
    “…Thus, a distinct, statistically significant antitumor effect of IFNγ was established in relation to a tumor with a multicentric growth pattern.…”
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  18. 618

    Scattering of Elastic Waves by an Inhomogeneous Boundary in the Acoustic Testing of Permanent Joints by A. R. Baev, N. V. Levkovich, A. L. Mayorov, M. V. Asadchaya

    Published 2019-12-01
    “…It has a significant effect on the field pattern and its angular amplitude extrema — minima and maxima of different orders when the defect boundary is moved relative to the center of the acoustic beam spot.The features of the evolution of the structure of the scattering field are established, which make it possible to identify optimal conditions for the detection of weakly reflective defects in sound. …”
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  19. 619

    Engineering thinking: Vectors of development in the context of the transformation of the scientific picture of the world by L. M. Andryukhina, B. N. Guzanov, S. V. Anakhov

    Published 2023-10-01
    “…This made it possible to introduce into the field of scientific consideration of engineering thinking and engineering activities such regulatory epistemological structures as the scientific picture of the world, paradigm, style of thinking, etc., as well as value-semantic structures of thinking and activity (value attitudes, ideals, standards activities, norms, strategic priorities, semantic patterns, etc.). In theoretical terms, the study is important for overcoming narrow technological and technocratic approaches, for a reasonable etermination of the prospects for the development of engineering thinking in the conditions of convergent processes.Practical significance. …”
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  20. 620

    Developing Assesment Tools Based on Humanistic Approach to Improve Arabic Vocabulary by Febriani Erma

    Published 2024-01-01
    “…The Assessment Tools development process is like that of Lee and Owens. This development approach is divided into five steps: analyze, design, develop, implement, and evaluate. …”
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