International Journal of Intelligent Computing and Cybernetics
Issue(s) available: 63 – From Volume: 1 Issue: 1, to Volume: 16 Issue: 3
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A robust twin support vector machine based on fuzzy systems
Jianxiang Qiu, Jialiang Xie, Dongxiao Zhang, Ruping ZhangTwin support vector machine (TSVM) is an effective machine learning technique. However, the TSVM model does not consider the influence of different data samples on the optimal…
A novel consensus reaching method for the preference-approval structure based on regret theory and its application in evaluating pension institutions
Qinggang Shi, Peng Li, Zhiwei XuThe purpose of this paper is to propose a consensus method for multi-attribute group decision-making (MAGDM) problems based on preference-approval structure and regret theory…
Multiobjective network security dynamic assessment method based on Bayesian network attack graph
Jialiang Xie, Shanli Zhang, Honghui Wang, Mingzhi ChenWith the rapid development of Internet technology, cybersecurity threats such as security loopholes, data leaks, network fraud, and ransomware have become increasingly prominent…
Stock price prediction using a novel approach in Gaussian mixture model-hidden Markov model
Kala Nisha Gopinathan, Punniyamoorthy Murugesan, Joshua Jebaraj JeyarajThis study aims to provide the best estimate of a stock's next day's closing price for a given day with the help of the hidden Markov model–Gaussian mixture model (HMM-GMM). The…
Interval multi-objective grey wolf optimization algorithm based on fuzzy system
Youping LinThe interval multi-objective optimization problems (IMOPs) are universal and vital uncertain optimization problems. In this study, an interval multi-objective grey wolf…
BFFNet: a bidirectional feature fusion network for semantic segmentation of remote sensing objects
Yandong Hou, Zhengbo Wu, Xinghua Ren, Kaiwen Liu, Zhengquan ChenHigh-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the…
Evaluation of employment quality of college graduates based on interval MULTIMOORA with combination weights
Jialiang Xie, Wenxin Wang, Yanling Chen, Feng Li, Xiaohui LiuThe purpose of this paper is to develop a novel interval Multi-Objective Optimization by a Ratio Analysis plus the Full Multiplicative Form(MULTIMOORA) with combination weights to…
An application on forecasting for stock market prices: hybrid of some metaheuristic algorithms with multivariate adaptive regression splines
Dilek Sabancı, Serhat Kılıçarslan, Kemal AdemBorsa Istanbul 100 Index, known as BIST100, is the main indicator to measure the performance of the 100 highest stocks publicly traded in Borsa Istanbul concerning market and…
Why are consumers dissatisfied? A text mining approach on Sri Lankan mobile banking apps
Maas Sherina SallyThe motivation of this study is to identify whether the overall rating of a banking app actually reflects the customer opinion and to find the causes for reduced ratings. Thus…
Urban traffic flow management on large scale using an improved ACO for a road transportation system
Somia Boubedra, Cherif Tolba, Pietro Manzoni, Djamila Beddiar, Youcef ZennirWith the demographic increase, especially in big cities, heavy traffic, traffic congestion, road accidents and augmented pollution levels hamper transportation networks. Finding…
Steel surface defect classification approach using an All-optical Neuron-based SNN with attention mechanism
Liang Gong, Hang Dong, Xin Cheng, Zhenghui Ge, Liangchao GuoThe purpose of this study is to propose a new method for the end-to-end classification of steel surface defects.
Efficiency decomposition in three-stage network with fuzzy desirable and undesirable output and fuzzy input in data envelopment analysis
Fatima Saeedi Aval Noughabia, Najmeh Malekmohammadi, Farhad Hosseinzadeh Lotfi, Shabnam RazavyanThe purpose of this paper is to improve the recent models for the evaluation of the efficiency of decision making units (DMUs) comprising a network structure with undesirable…
Deep learning for SDN-enabled campus networks: proposed solutions, challenges and future directions
Wilson Charles Chanhemo, Mustafa H. Mohsini, Mohamedi M. Mjahidi, Florence U. RashidiThis study explores challenges facing the applicability of deep learning (DL) in software-defined networks (SDN) based campus networks. The study intensively explains the…
Detection of communicable and non-communicable diseases using hyperparameter optimization with Bi-LSTM model in pathology images
Shiva Sumanth Reddy, C. NandiniThe present research work is carried out for determining haemoprotozoan diseases in cattle and breast cancer diseases in humans at early stage. The combination of LeNet and…
ISSN:
1756-378XOnline date, start – end:
2008Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditors:
- Prof Adil Baykasoglu
- Prof. Dr. Gandolfo Dominici
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