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    Interval Valued Picture Fuzzy Aczel–Alsina Aggregation Operators and Their Application by Using the Multiattribute Decision Making Problem by Khalida Jabeen, Kifayat Ullah, Maria Akram, Izatmand Haleemzai

    Published 2023-01-01
    “…Recently, a lot of researchers worked on the Aczel–Alsina t-norm (TN) and t-conorm (TCN), which are generalizing many other t-norms and producing reliable results. In this article, first, we developed some new aggregation operators (AOs) and fundamental operational laws of Aczel–Alsina operations, including Aczel–Alsina product, sum, and scalar multiplication based on the IVPF information. …”
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  5. 1565

    Methodology for Assessing the Global Aggregate Demand for Digital Resources and Its Growth Rate Based on the Intersectoral Balance Model by I. A. Zubritskaya

    Published 2023-12-01
    “…The article reveals the relevance of scientific research due to the need to develop a methodology for assessing the development of the global digital resources market in order to substantiate the digital development of the Republic of Belarus in modern conditions. …”
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  6. 1566

    Changes or disappearance of the Atlantic goliath grouper Epinephelus itajara (Perciformes: Epinephelidae) spawning aggregation sites in southern Brazil by Leonardo Schlogel Bueno, Matheus Oliveira Freitas, Áthila Andrade Bertoncini, Christopher Carl Koenig, Johnatas Adelir-Alves, Jonas Rodrigues Leite, Felipe Alexandre de Lisboa Miranda Daros, Maurício Hostim-Silva

    Published 2025-07-01
    “…In this article we determine patterns in aggregation abundance by observations we made between 2007 and 2014 on three natural and four artificial reefs in southern Brazil by comparing sightings-per-unit-effort (SPUE) among these reefs. …”
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  7. 1567

    Analysis of Cryptocurrency Market by Using q-Rung Orthopair Fuzzy Hypersoft Set Algorithm Based on Aggregation Operators by Salma Khan, Muhammad Gulistan, Nasreen Kausar, Sajida Kousar, Dragan Pamucar, Gezahagne Mulat Addis

    Published 2022-01-01
    “…The weighted average and weighted geometric aggregation operators are used in this article to define a multi-attribute decision-making approach. …”
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    Article
  8. 1568

    Cash Flow and Profit Impact on Capital Account Liberalization-Investment Growth Nexus in Nigeria: An Aggregated Firm Case by Okungbowa Ewere Florence O.

    Published 2021-01-01
    “…The article examines the firm’s investment growth effect following capital liberalization and financial constraints. …”
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    Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

    Published 2018-05-01
    “…In this article, we propose a novel data aggregation scheduling algorithm under the physical interference model. …”
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    Article
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    Novel linguistic q-rung orthopair fuzzy Aczel-Alsina aggregation operators for group decision-making with applications by Ghous Ali, Kholood Alsager, Asad Ali

    Published 2024-11-01
    “…In this article, we presented two novel approaches for group decision-making (GDM) that were derived from the initiated linguistic $ q $-rung orthopair fuzzy Aczel-Alsina weighted arithmetic (L$ q $-ROFAAWA) aggregation operator (AgOp) using linguistic $ q $-rung orthopair fuzzy numbers (L$ q $-ROFNs). …”
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    Aggregate distributional cost-effectiveness analysis: a novel tool for health economic evaluation to inform resource allocation by Shan Jiang, Boyang Li, Bonny Parkinson, Shunping Li, Yuanyuan Gu

    Published 2025-04-01
    “…Unlike full DCEA, which requires detailed subgroup data, A-DCEA utilizes aggregated data, making it accessible and feasible for broader use. …”
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    DCANet: A Dual-Branch Cross-Scale Feature Aggregation Network for Remote Sensing Image Semantic Segmentation by Yanhong Yang, Fei Wang, Haozheng Zhang, Yushan Xue, Guodao Zhang, Shengyong Chen

    Published 2025-01-01
    “…Although existing dual-branch based methods enable feature complementarity, information redundancy during feature extraction and fusion hinders the full and effective utilization of multiscale features, thus limiting model performance. In this article, we introduce DCANet, a dual-branch cross-scale feature aggregation network based on an encoder–decoder framework, incorporating visual-state-space (VSS) blocks in the encoder branch to overcome the limitations of conventional convolutional neural networks in capturing global contextual information. …”
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    PI-ADFM: Enhancing Multimodal Remote Sensing Image Matching Through Phase-Integrated Aggregated Deep Features by Haiqing He, Shixun Yu, Yongjun Zhang, Yufeng Zhu, Ting Chen, Fuyang Zhou

    Published 2025-01-01
    “…Moreover, the lack of comprehensive training data further limits the network's performance, which poses a formidable challenge to existing matching methods in securing adequate and evenly distributed corresponding points. This article proposes a novel method called phase-integrated aggregated deep feature matching (PI-ADFM), designed to address these challenges. …”
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