Search Results - fuzzy logic inference algorithms

An Algorithm for Severity Estimation of Plant Leaf Diseases by the Use of Colour Threshold Image Segmentation and Fuzzy Logic Inference: A Proposed Algorithm to Update a “Leaf Doctor” Application by Sibiya, Malusi, Sumbwanyambe, Mbuyu

“…, have used fuzzy logic to determine the severity estimations of the plant leaf diseases. The present paper aims to update the current algorithm used in the “Leaf Doctor…”
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Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots by Hussain, Shahid, Lee, Ki-Beom, A. Ahmed, Mohamed, Hayes, Barry, Kim, Young-Chon

“…The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of…”
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Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot by Hussain, Shahid, Ahmed, Mohamed A., Kim, Young-Chon

“… of EVs should be within the allowable power limit to avoid the grid overloading. This paper proposes a fuzzy logic inference based algorithm (FLIA…”
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Data driven based fuzzy logic inference algorithm for quality of experience modeling for video streaming in LTE network: Case of Addis Ababa City LTE network by Yimer, Amare Kassaw, Wondie, Yihenew, Demilie, Aysheshim

“… In this work, we propose a data-driven-based fuzzy logic inference algorithm for quality of experience (QoE…”
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Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction by Tabbussum, Ruhhee, Dar, Abdul Qayoom

“…), fuzzy logic, and adaptive neuro-fuzzy inference system (ANFIS) algorithms are used to develop nine different flood prediction models using all the available training algorithms…”
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Improved Fuzzy Logic Inference Algorithm for Vital Sign Monitoring Using FMCW Radar by Xu, Zeping, Xiao, Yan, Wang, Yunpeng, Li, Ji, Song, Kailun, Zhang, Weixin

“… Compared to traditional methods, the fuzzy logic inference methods based on harmonic and intermodulation components proposed in recent years offer higher accuracy…”
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Fuzzy logic inference algorithms utilization in the economic potential growth management system of the real estate development company by Rosynskyi, A.

“…The article defines the need to introduce fuzzy logic inference algorithms into the economic potential growth management system of the real estate development company…”
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Query Tuning in Semantic Inference Fuzzy Logic Algorithm for Real-Time Recommendations by Yulis, Nurlina, Ilham, Amil Ahmad, Achmad, Andani, Samman, Faizal Arya

“…The query tuning, which is mostly found in the syntax semantics of fuzzy logic inference algorithms, uses the query syntax of the boolean data type…”
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Automation of the cutting-speed control process based on soft fuzzy logic computing by Bobyr’, M. V., Titov, V. S., Nasser, A. A.

“…Automation of the cutting-speed control on lathe CNC equipment allowing one in real time to compensate for temperature deformations that adversely affect the…”
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Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review by Ling, Jordan Yao Xing, Chan, Yi Jing, Chen, Jia Win, Chong, Daniel Jia Sheng, Tan, Angelina Lin Li, Arumugasamy, Senthil Kumar, Lau, Phei Li

“… This paper provides a comprehensive and up-to-date overview of different machine learning algorithms, including artificial neural network (ANN), fuzzy logic (FL…”
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Smart respiratory monitoring: clinical development and validation of the IPI™ (Integrated Pulmonary Index) algorithm by Ronen, M., Weissbrod, R., Overdyk, F. J., Ajizian, S.

“… We describe a heuristic algorithm that simplifies the interpretation of these four parameters in assessing…”
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Simulation model of wind turbine power control system with fuzzy regulation by Mamdani and Larsen algorithms by Aziz, Ghadah Adil

“… Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms…”
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Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms by Hidalgo, Denisse, Castillo, Oscar, Melin, Patricia

“… The fuzzy systems were developed using genetic algorithms to handle fuzzy inference systems with different membership functions, like the triangular, trapezoidal and Gaussian…”
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Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic–ANFIS by Thai Huynh, Ngoc, V. T. Nguyen, Tien, Manh Nguyen, Quoc

“… of the mechanism and then select an optimal mechanism that could meet design requirements. A poly-algorithm including the Grey-Taguchi method, fuzzy logic system, and adaptive neuro-fuzzy inference system (ANFIS…”
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A fuzzy logic based algorithm for defining and extracting pore network structure from tomography images of rocks by Moaddel, A., Müter, D., Gooya, R., Sørensen, H.O., Stipp, S.L.S.

“…•We applied fuzzy logic to tackle the issue of quantifying the pore as an entity in a porous medium and tested it on a variety of rock types, using tomography images…”
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The prediction algorithm of the technical state of an object by means of fuzzy logic inference models by Kuvayskova, Yu. E.

“… The model is used to predict the object indices. The predicted values of indices are analyzed by means of fuzzy logic and predicted state of an object is deduced…”
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Application of computational intelligence techniques for load shedding in power systems: A review by Laghari, J.A., Mokhlis, H., Bakar, A.H.A., Mohamad, Hasmaini

“…•Applications of intelligent techniques in load shedding are presented.•Intelligent techniques include ANN, fuzzy logic, ANFIS, genetic algorithm and PSO…”
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Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation by PETKOVIC, Dalibor, COJBASIC, Zarko, NIKOLIC, Vlastimir

“… In this study, the adaptive neuro-fuzzy inference system (ANFIS) is designed and adapted to estimate optimal power coefficient value of the wind turbines…”
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Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty by Hájek, Petr, Olej, Vladimír

“… Based on data measured by a monitoring station of the Pardubice micro-region, the Czech Republic, and optimization of the number of parameters by a defined objective function and genetic algorithm…”
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Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications by Sagir Masanawa, Hamza Abubakar

“… The sparse matrix approach incorporated in neural network learning algorithm for scalability, minimize higher memory storage capacity usage, enhancing implementation time and speed up the analysis…”
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