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Fuzzy Side Information Clustering-Based Framework for Effective Recommendations

Mohammed Wasid, Rashid Ali
2019 Computing and informatics  
Collaborative filtering (CF) is the most successful and widely implemented algorithm in the area of recommender systems (RSs).  ...  Data sparsity and accuracy are the two major issues associated with the classical CF approach.  ...  In their approach the Neuro-Fuzzy technique was used to solve sparsity problem, and scalability was handled using higher order singular value decomposition along with supervised learning (classification  ... 
doi:10.31577/cai_2019_3_597 fatcat:4kvkryz34bbexphitzlulvpclm

A Personalized Recommendation Algorithm Based on Weighted Information Entropy and Particle Swarm Optimization

Shuhao Jiang, Jincheng Ding, Liyi Zhang, Fazlullah Khan
2021 Mobile Information Systems  
Similarity calculation is the most important basic algorithm in collaborative filtering recommendation.  ...  It uses random particle swarm optimization to optimize their weights to obtain the comprehensive similarity value.  ...  Conclusion collaborative filtering with high accuracy using higher order  ... 
doi:10.1155/2021/3209140 fatcat:evolnt7xjbfxvn22nno6wofyom

A Hybrid Method with TOPSIS and Machine Learning Techniques for Sustainable Development of Green Hotels Considering Online Reviews

Nilashi, Mardani, Liao, Ahmadi, Manaf, Almukadi
2019 Sustainability  
) for ranking hotel features, and Neuro-Fuzzy technique to reveal the customer satisfaction levels.  ...  This paper proposes a hybrid method for online reviews analysis through multi-criteria decision-making, text mining and predictive learning techniques to find the relative importance of factors affecting  ...  They developed a new method based on multi-criteria collaborative filtering: Higher Order Singular Value Decomposition (HOSVD), ANFIS and SOM.  ... 
doi:10.3390/su11216013 fatcat:c2acuty5mrb5pdnow7ktep3mje

The M2DC Project: Modular Microserver DataCentre

Mariano Cecowski, Giovanni Agosta, Ariel Oleksiak, Michal Kierzynka, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop, Mario Porrmann, Jens Hagemeyer, Rene Griessl, Meysam Peykanu, Lennart Tigges (+13 others)
2016 2016 Euromicro Conference on Digital System Design (DSD)  
This paper provides an overview of the different topics FPGAs have been used for in the last 15 years of research and why they have been chosen over other processing units like e.g. CPUs.  ...  The key advantage is the combination of software-like flexibility with the performance otherwise common to hardware.  ...  higher order systems controller using Graham Lathrop optimal polynomials and Left Hand Side zero 2012 [633] Image processing / Networks Data processing for a video surveillance system with large  ... 
doi:10.1109/dsd.2016.76 dblp:conf/dsd/CecowskiAOKBCKP16 fatcat:bu4nbkqaejebjafrotibui6mkq

A new similarity-based multi-criteria recommendation algorithm based on autoencoders

2021 Turkish Journal of Electrical Engineering and Computer Sciences  
similarity-based multi-criteria collaborative filtering approach based on autoencoders.  ...  Multi-criteria recommender systems provide more 9 personalized and accurate predictions compared to traditional recommender systems.  ...  A novel deep multi-criteria collaborative filtering model for recommendation system.  ... 
doi:10.3906/elk-2107-145 fatcat:n4kycyumu5gi7moperbxrxf5tm

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
The approach systematically produces better results than the used basic genetic algorithm and better or similar results with other heuristic methods.  ...  The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm.  ...  Vellasco, Hybrid Recommendation System based on Collaborative Filtering and Fuzzy Numbers 196, Chun-Hao Chen, Ai-Fang Li, Yeong-Chyi Lee and Tzung-Pei Hong, Mining Fuzzy Coherent Rules from Quantitative  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Computational Intelligent Techniques To Detect DDOS Attacks : A Survey

Isha Sood, Varsha Sharma
2021 Journal of Cyber Security  
The analysis describes attacks and explains them. The key factors relevant to the detection of DDOS attacks are included in this research like methods, tools, and detection accuracy.  ...  In the digital era of today, cases of DDoS attacks have also been exceeded in the wireless, smartphone, and IoT attacks with catastrophic implications.  ...  This paper suggests a method based on the neuro-fuzzy hybrid system.  ... 
doi:10.32604/jcs.2021.018623 fatcat:nzdhwmj5cveszbfmz7godbzqbu

A survey of fuzzy logic in wireless localization

Marwan Alakhras, Mourad Oussalah, Mousa Hussein
2020 EURASIP Journal on Wireless Communications and Networking  
Acknowledgements The authors would like to acknowledge the Knowledge E Manuscript Preparation Service, and Manuscript Editing Services at UAEU for help in editing this manuscript.  ...  Thus, the result was a robust tracking system that presents a low computational burden and attains a resolution comparable to that of singular value decomposition techniques.  ...  Adaptive neuro fuzzy inference system (ANFIS) based on a neuro-fuzzy learning mechanism is probably a commonly employed tool in generating fuzzy partition and optimizing the fuzzy rule database [113]  ... 
doi:10.1186/s13638-020-01703-7 fatcat:wqccddma6ng33bb6jcqyjjt5ym

Load Forecasting Techniques for Power System: Research Challenges and Survey

Naqash Ahmad, Yazeed Ghadi, Muhammad Adnan, Mansoor Ali
2022 IEEE Access  
Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding power to consumers.  ...  The comparison between the performance of the models in terms of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) values are compared and discussed with  ...  Methods being used for MTLF with the addition of Adaptive Neuro Fuzzy Interference System (ANFIS), Grey model and wavelet transform are used for LTSM [58] .  ... 
doi:10.1109/access.2022.3187839 fatcat:efyh2vr5rnayja33salmeaqwum

Artificial intelligence in recommender systems

Qian Zhang, Jie Lu, Yaochu Jin
2020 Complex & Intelligent Systems  
It carefully surveys various issues related to recommender systems that use AI, and also reviews the improvements made to these systems through the use of such AI approaches as fuzzy techniques, transfer  ...  accuracy and solve data sparsity and cold start problems.  ...  In fuzzy clustering, compared with CF methods with singular value decomposition (SVD) which only allows hard membership clustering, fuzzy C-means is a soft clustering and allows users/items to belong to  ... 
doi:10.1007/s40747-020-00212-w fatcat:ev3cyoy2mjeuhmq3rymkx2shsy

Global and Local Tensor Factorization for Multi-criteria Recommender System

Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai
2020 Patterns  
In multi-criteria recommender systems, matrix factorization characterizes users and items via latent factor vectors inferred from user-item rating patterns.  ...  factorization method (GLTF) for multi-criteria recommendation is thus proposed.  ...  Hamada et al. 27 presented a model that is based on the architecture and main features of fuzzy sets and systems to improve the prediction accuracy of 28 utilized a multi-linear singular value decomposition  ... 
doi:10.1016/j.patter.2020.100023 pmid:33205096 pmcid:PMC7660452 fatcat:vi6yg2ndffdhzadvuaahdxj4gq

Automatic Speech Recognition: Systematic Literature Review

Sadeen Alharbi, Muna Alrazgan, Alanoud Alrashed, Turkiah AlNomasi, Raghad Almojel, Rimah Alharbi, Saja Alharbi, Sahar Alturki, Fatimah Alshehri, Maha Almojil
2021 IEEE Access  
ACKNOWLEDGMENT The authors thank the Deanship of Scientific Research and RSSU at King Saud University for their technical support.  ...  The basic concept of this method is to pre-adjust the initial MLP and then train it using an unconventional back propagation (BP) algorithm after restructuring weight matrices via singular value decomposition  ...  In [26] , the authors proposed a speech recognition evaluation method for dysarthric speech recognition systems using an adaptive neuro-fuzzy inference system (ANFIS).  ... 
doi:10.1109/access.2021.3112535 fatcat:uhyhmyd6b5d2lldkhf6tihnxky

Table of contents

2009 2009 17th Mediterranean Conference on Control and Automation  
Adapted fuzzy controlled is suggested here in order to handle the control loops of a DCS system.  ...  The validation results show that the RNN models the reactor to a high degree of accuracy.  ...  The control of an industrial manipulator Arm with high accuracy in the presence of multi-model is a challenging control problem.  ... 
doi:10.1109/med.2009.5164498 fatcat:bi37lbkbhfaihj7lbc64vvplo4

Literature survey [chapter]

Cong Lu, Jerry Ying Hsi Fuh, Yoke San Wong
2011 Collaborative Product Assembly Design and Assembly Planning  
A neuro-fuzzy system was proposed by Hanmandlu [158] , they compared the angle made by the signature pixels are computed with respect to reference points and the angle distribution was then clustered  ...  with fuzzy c-means algorithm.  ... 
doi:10.1533/9780857093882.9 fatcat:xw6alngzynh3tdy6axlo2i2pva

Recommender systems survey

J. Bobadilla, F. Ortega, A. Hernando, A. Gutiérrez
2013 Knowledge-Based Systems  
Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering.  ...  This article provides an overview of recommender systems as well as collaborative filtering methods and algorithms; it also explains their evolution, provides an original classification for these systems  ...  , singular value decomposition techniques to reduce sparsity levels, etc.  ... 
doi:10.1016/j.knosys.2013.03.012 fatcat:z3gc5qjhkrcd5dsaah2gjdyu3y
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