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Fuzzy Side Information Clustering-Based Framework for Effective Recommendations
2019
Computing and informatics
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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
2021
Mobile Information Systems
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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
2019
Sustainability
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) 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
2016
2016 Euromicro Conference on Digital System Design (DSD)
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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
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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
2012
2012 IEEE Congress on Evolutionary Computation
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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
2021
Journal of Cyber Security
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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
2020
EURASIP Journal on Wireless Communications and Networking
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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
2022
IEEE Access
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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
2020
Complex & Intelligent Systems
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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
2020
Patterns
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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
2021
IEEE Access
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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
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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]
2011
Collaborative Product Assembly Design and Assembly Planning
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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
2013
Knowledge-Based Systems
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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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