Search Results - "International journal of computational intelligence systems"

Multiscale Feature Extraction and Fusion of Image and Text in VQA by Lu, Siyu, Ding, Yueming, Liu, Mingzhe, Yin, Zhengtong, Yin, Lirong, Zheng, Wenfeng

“…The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly…”
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Algorithm for Multiple Attribute Decision-Making with Interactive Archimedean Norm Operations Under Pythagorean Fuzzy Uncertainty by Wang, Lei, Garg, Harish

“…Recently, a great attention is paid toward developing aggregation operators for Pythagorean fuzzy set (PFS). However, few of them have adopted the rules of…”
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Fuzzy Multicriteria Decision-Making: A Literature Review by Kahraman, Cengiz, Onar, Sezi Cevik, Oztaysi, Basar

“…Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used…”
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KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining by Triguero, Isaac, González, Sergio, Moyano, Jose M., García, Salvador, Alcalá-Fdez, Jesús, Luengo, Julián, Fernández, Alberto, del Jesús, Maria José, Sánchez, Luciano, Herrera, Francisco

“…This paper introduces the 3 rd major release of the KEEL Software. KEEL is an open source Java framework (GPLv3 license) that provides a number of modules to…”
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Deep Learning for Detection of Routing Attacks in the Internet of Things by Yavuz, Furkan Yusuf, Ünal, Devrim, Gül, Ensar

“…Cyber threats are a showstopper for Internet of Things (IoT) has recently been used at an industrial scale. Network layer attacks on IoT can cause significant…”
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Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems by Precup, Radu-Emil, David, Radu-Codrut, Roman, Raul-Cristian, Petriu, Emil M., Szedlak-Stinean, Alexandra-Iulia

“…This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by…”
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Design of a Modified Transformer Architecture Based on Relative Position Coding by Zheng, Wenfeng, Gong, Gu, Tian, Jiawei, Lu, Siyu, Wang, Ruiyang, Yin, Zhengtong, Li, Xiaolu, Yin, Lirong

“…Natural language processing (NLP) based on deep learning provides a positive performance for generative dialogue system, and the transformer model is a new…”
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The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey by Glauner, Patrick, Meira, Jorge Augusto, Valtchev, Petko, State, Radu, Bettinger, Franck

“…Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in…”
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An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making by Rodríguez, Rosa M., Labella, Álvaro, Martínez, Luis

“…Decision makers involved in complex decision making problems usually provide information about their preferences by eliciting their knowledge with different…”
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Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection by Sirisha, U., Praveen, S. Phani, Srinivasu, Parvathaneni Naga, Barsocchi, Paolo, Bhoi, Akash Kumar

“…Object detection is a critical and complex problem in computer vision, and deep neural networks have significantly enhanced their performance in the last…”
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An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers by Chen, Zichun, Liu, Penghui, Pei, Zheng

“…Motivated by intuitionistic fuzzy sets and fzzy linguistic approach, this article proposes the concept of linguistic intuitionistic fuzzy numbers (LIFNs) where…”
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A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function by Wei, Cuiping, Ren, Zhiliang, Rodríguez, Rosa M.

“…Hesitant fuzzy linguistic term sets (HFLTSs) are very useful for dealing with the situations in which the decision makers hesitate among several linguistic…”
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A Method to Multi-Attribute Group Decision-Making Problem with Complex q-Rung Orthopair Linguistic Information Based on Heronian Mean Operators by Liu, Peide, Ali, Zeeshan, Mahmood, Tahir

“…The notions of complex q-rung orthopair fuzzy sets (Cq-ROFSs) and linguistic sets (LSs) are two different concepts to deal with uncertain information in…”
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A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning by Du, Shengdong, Li, Tianrui, Gong, Xun, Horng, Shi-Jinn

“…Traffic flow forecasting has been regarded as a key problem of intelligent transport systems. In this work, we propose a hybrid multimodal deep learning method…”
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Fuzzy Tools in Recommender Systems: A Survey by Yera, Raciel, Martínez, Luis

“…Recommender systems are currently successful solutions for facilitating access for online users to the information that fits their preferences and needs in…”
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Some New Classes of Preinvex Fuzzy-Interval-Valued Functions and Inequalities by Khan, Muhammad Bilal, Noor, Muhammad Aslam, Abdullah, Lazim, Chu, Yu-Ming

“…It is well known that convexity and nonconvexity develop a strong relationship with different types of integral inequalities. Due to the importance of the…”
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Relative Basic Uncertain Information in Preference and Uncertain Involved Information Fusion by Jin, Le-Sheng, Xu, Ya-Qiang, Chen, Zhen-Song, Mesiar, Radko, Yager, Ronald R.

“…Basic uncertain information is a newly proposed normative formulation to express and model uncertain information. This study further generalizes this concept…”
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Multi-valued Neutrosophic Sets and Power Aggregation Operators with Their Applications in Multi-criteria Group Decision-making Problems by Peng, Juan-juan, Wang, Jian-qiang, Wu, Xiao-hui, Wang, Jing, Chen, Xiao-hong

“…In recent years, hesitant fuzzy sets (HFSs) and neutrosophic sets (NSs) have become a subject of great interest for researchers and have been widely applied to…”
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Harmonically Convex Fuzzy-Interval-Valued Functions and Fuzzy-Interval Riemann–Liouville Fractional Integral Inequalities by Sana, Gul, Khan, Muhammad Bilal, Noor, Muhammad Aslam, Mohammed, Pshtiwan Othman, Chu, Yu-Ming

“…It is well known that the concept of convexity establishes strong relationship with integral inequality for single-valued and interval-valued function. The…”
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An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution by Wei, Wang, Yongbin, Jiang, Yanhong, Luo, Ji, Li, Xin, Wang, Tong, Zhang

“…In recent years, more and more attention has been paid to single image super-resolution reconstruction (SISR) by using deep learning networks. These networks…”
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