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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this paper, new fuzzy numerical methods based on the fuzzy transform (F-transform or FT) for solving the Cauchy problem are introduced and discussed. In accordance with existing methods such as trapezoidal rule, Adams Moulton methods are improved usin...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this paper, new approximation methods for solving systems of ordinary differential equations (SODEs) by fuzzy transform (FzT) are introduced and discussed. In particular, we propose two modified numerical schemes to solve SODEs where the technique of ...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this research, three approximation methods are used in the new generalized uniform fuzzy partition to solve the system of differential equations (SODEs) based on fuzzy transform (FzT). New representations of basic functions are proposed based on the n...
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Barbara Cardone, Ferdinando Di Martino and Salvatore Sessa
This research proposes a new image compression method based on the F1-transform which improves the quality of the reconstructed image without increasing the coding/decoding CPU time. The advantage of compressing color images in the YUV space is due to th...
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Barbara Cardone and Ferdinando Di Martino
The bi-dimensional F1-Transform was applied in image analysis to improve the performances of the F-transform method; however, due to its high computational complexity, the multidimensional F1-transform cannot be used in data analysis problems, especially...
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Yu-Hsien Lin, Shao-Yu Chen and Chia-Hung Tsou
This study investigated the development of visual recognition and stereoscopic imaging technology, applying them to the construction of an image processing system for autonomous underwater vehicles (AUVs). For the proposed visual recognition technology, ...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
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Jing Wang, Qing Yang, Wenxia Sima, Tao Yuan and Markus Zahn
This paper proposes a complete and effective smart over-voltage monitoring and identification system. In recent years, smart grids are of the greatest interest in power system research. One of the main features of smart grid is their self-healing, which ...
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Jeng-Fung Chen, Quang Hung Do, Thi Van Anh Nguyen and Thi Thanh Hang Doan
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate planning and prediction of electricity load are therefore vital. In this study, a novel approach for forecasti...
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Yabin Tao and Ruixin Zhang
Low-disturbance mining in surface mining (LDM) can transform traditional surface mine production systems into a more sustainable model by reducing the disturbance of surface mining, minimizing pollutant emissions, and reducing ecological impacts. The pur...
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Chin-Yi Chen and Jih-Jeng Huang
Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues. However, these imprecise numbe...
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Bassam Al-Naami, Hossam Fraihat, Hamza Abu Owida, Khalid Al-Hamad, Roberto De Fazio and Paolo Visconti
Left bundle branch block (LBBB) is a common disorder in the heart?s electrical conduction system that leads to the ventricles? uncoordinated contraction. The complete LBBB is usually associated with underlying heart failure and other cardiac diseases. Th...
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Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic and Cedomir Cvijovic
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
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Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic, Cedomir Cvijovic
Pág. 1 - 16
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
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S. Bhuvaneeswari,B. Ramesh Kumar,R. Solaiappan,S. Murugesan
This paper, we develops a nonlinear programming approach to construct the membership function of the performance measure in bulk arrival queueing system , in that the arrival and service rates are fuzzy numbers. The basic idea is transform to a ?Generali...
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Yan Sun, Maoxiang Lang and Jiaxi Wang
In this study, we combine the fuzzy customer information problem with the multicommodity multimodal routing with schedule-based services which was explored in our previous study [1]. The fuzzy characteristics of the customer information are embodied in t...
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A. S. Lee
AbstractThis study employed fuzzy theory to investigate the influence of the features of furniture product design on the fuzzy semantics of Taiwanese consumers? perceived value in new product design and development in hopes of providing product desi...
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Jianhua Chen, Wenchuan Wu, Boming Zhang, Bin Wang and Qinglai Guo
Spinning reserve allocation is a critical problem for active power dispatch with large-scale wind power penetration. A risk-based reserve allocation method that accounts multiple control sub-area coordination is given in this paper. And a multi-objective...
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Taha Mohammed Hasan,Sahab Dheyaa Mohammed,Jumana Waleed
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Breast cancer is one of the most common kinds of cancers that infect females in the whole world. It has happened when the cells in breast tissues start to grow in an uncontrollable way. Because it leads to death, early detection and diagnosis is a very i...
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