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    1.7 MV Tandem Accelerator Beam Tuning Optimization by JIANG Ran, LI Ailing, CUI Baoqun, TANG Bing, CHEN Haonan, WANG Yunfeng

    Published 2025-03-01
    “…To augment the inherent efficiency and enhance the quality of the conventional manual beam-tuning methodology, this paper presented an innovative approach through the incorporation of a differential evolution (DE) algorithm. Initially, the architectural framework of the DE algorithm was meticulously delineated, serving as the bedrock of the methodological paradigm. …”
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    Index analysis of differentiation of the Russian Federation regions on the basic indicators of innovation activity by S. G. Babich

    Published 2017-05-01
    “…Despite the positive trends in the sphere of increasing the innovation activity of enterprises and organizations in the country, the creation and introduction of advanced technological innovations in production, low innovation activity of organizations remains in most regions. …”
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    BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

    Published 2023-05-01
    “…The article also specifies the algorithm for identifying black humour in prose works, which involves the use of three groups of analysis methods (linguistic, semasiological and communicative). …”
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    Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

    Published 2017-12-01
    “…The resulting spline-differentiation algorithm is used for mathematical modeling. …”
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    A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island by Pavlos Fylaktos, George P. Petropoulos, Ioannis Lemesios

    Published 2025-06-01
    “…The integration of artificial intelligence (AI), specifically through convolutional neural networks (CNNs), is paving the way for significant advancements in archaeological research. This study explores the innovative application of the so-called Mask Region-based convolutional neural network (Mask R-CNN) algorithm in a GIS environment, utilizing high-resolution satellite imagery from the WorldView-3 system. …”
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    Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis by Weifei Liang, Hong Lin, Donglin Sun, Minghui Tang

    Published 2023-04-01
    “…The objective of this research was the creation of better tools for predicting UCEC patient survival to provide more accurate and effective treatment strategies. …”
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    A Macroscopic Exploration of the Ideoscape on Exosomes for Bone Regeneration by Maria Teresa Colangelo, Marco Meleti, Stefano Guizzardi, Carlo Galli

    Published 2024-10-01
    “…<b>Conclusions:</b> This study exemplifies the utility of combining topic modeling with knowledge graph creation to map research trends, offering a flexible and largely automated tool for researchers to explore the vast bodies of literature and guide future research directions.…”
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    Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

    Published 2025-05-01
    “…Such accurate forecasting supports policymakers and other industry stakeholders make marketing decisions to reduce environmental impacts and optimize resource utilization. In this research, a novel Greylag Goose Optimization (GGO) algorithm is integrated with a Multi-Layer Perceptron (MLP) model to improve $$\hbox {CO}_2$$ emissions prediction. …”
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    FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method by Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei

    Published 2025-07-01
    “…Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process. …”
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    A global comparison of social media bot and human characteristics by Lynnette Hui Xian Ng, Kathleen M. Carley

    Published 2025-03-01
    “…Social media bots took the world by storm when social-cybersecurity researchers realized that social media users not only consisted of humans, but also of artificial agents called bots. …”
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