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Journal of Information & Knowledge Management, 2021
The recommendation system takes the information related to the user profile or interest to suggest the user with convenient materials that the user is interested in. Most of the existing implicit methods find the user preferences and automatically recommend the desired products in the interface, but failed to generate user-oriented results.
Shefali Gupta, Meenu Dave
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The recommendation system takes the information related to the user profile or interest to suggest the user with convenient materials that the user is interested in. Most of the existing implicit methods find the user preferences and automatically recommend the desired products in the interface, but failed to generate user-oriented results.
Shefali Gupta, Meenu Dave
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A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems
Evolving Systems, 2010Data issued of most real-world applications are evolving; they change constantly over time. In such applications, it is difficult to induce correctly a model (classifier) using traditional classification methods. Thus, it is important to use an adapted classification method to build a classifier and to update its parameters as new data is available. In
Hartert, Laurent +2 more
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Expert Systems, 2013
AbstractStreamflow forecast models are essential ingredients for water resources management. Due to nonlinear nature of streamflow generation, Artificial Neural Networks (ANNs), Adaptive Neuro‐Fuzzy Inference System (ANFIS) and K‐Nearest Neighbour (K‐NN) have turned into popular forecast models.
Bahram Saghafian +2 more
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AbstractStreamflow forecast models are essential ingredients for water resources management. Due to nonlinear nature of streamflow generation, Artificial Neural Networks (ANNs), Adaptive Neuro‐Fuzzy Inference System (ANFIS) and K‐Nearest Neighbour (K‐NN) have turned into popular forecast models.
Bahram Saghafian +2 more
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2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES, 2010
The face recognition problem is made difficult by the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, partial occlusion (e.g. Wearing Hats, scarves, glasses etc.), etc. In this paper two multi scale techniques Discrete Cosine Transform and Discrete Wavelet Transform are used.
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The face recognition problem is made difficult by the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, partial occlusion (e.g. Wearing Hats, scarves, glasses etc.), etc. In this paper two multi scale techniques Discrete Cosine Transform and Discrete Wavelet Transform are used.
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2019
Inspired by the brain working mechanism, the spiking neural networks has proven the capability of revealing significant association between different variables spike behavior during an event. The combination of the capability of SNN to produce personalised model has allowed high-precision for data classification.
Mohd Hafizul Afifi Abdullah +4 more
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Inspired by the brain working mechanism, the spiking neural networks has proven the capability of revealing significant association between different variables spike behavior during an event. The combination of the capability of SNN to produce personalised model has allowed high-precision for data classification.
Mohd Hafizul Afifi Abdullah +4 more
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RETRACTED: Efficient fuzzy based K-nearest neighbour technique for web services classification
Microprocessors and Microsystems, 2020C. Viji +5 more
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2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
Sanjaya Kumar Panda +2 more
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Sanjaya Kumar Panda +2 more
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HANDWRITTEN SCRIPT IDENTIFICATION USING FUZZY-K NEAREST NEIGHBOUR
2006B V Dhandra +3 more
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