RecHap: an interactive recommender system for navigating a large number of mid-air haptic designs

K Theivendran, A Wu, W Frier… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Designing haptics is a difficult task especially when the user attempts to design a sensation
from scratch. In the fields of visual and audio design, designers often use a large library of …

Autoencoder for Image Retrieval System using Deep Learning Technique with Tensorflow and Kears

K Wangi, A Makandar - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
In today's era image retrieval is most emerging trends of digital image processing
techniques. Traditional methods for retrieval such as Text and Query based image retrieval …

[PDF][PDF] A literature survey on content-based information retrieval

MA Dhaygude, S Kinariwala - J. Comput. Technol.(JCT), 2022 - jctjournals.com
In this survey paper discuss review on content based information retrieval system. For
centuries, images have been regarded as a powerful tool for conveying information visually …

A PERFORMANCE AWARE CONTENT BASED IMAGE RETRIEVAL (CBIR) TECHNIQUE.

R Battur - … Journal on Information Technologies & Security, 2022 - search.ebscohost.com
The increased pace in the digital media has gained lot of buzz in modern technology for
images and videos storage. The digital images contain important information and its …

[HTML][HTML] SbMBR Tree—A Spatiotemporal Data Indexing and Compression Algorithm for Data Analysis and Mining

R Guan, Z Wang, X Pan, R Zhu, B Song, X Zhang - Applied Sciences, 2023 - mdpi.com
In the field of data analysis and mining, adopting efficient data indexing and compression
techniques to spatiotemporal data can significantly reduce computational and storage …

New model of heteroasociative min memory robust to acquisition noise

JC Salgado-Ramírez, JM Vianney Kinani… - Mathematics, 2022 - mdpi.com
Associative memories in min and max algebra are of great interest for pattern recognition.
One property of these is that they are one-shot, that is, in an attempt they converge to the …

Decomposition method for calculating the weights of a binary neural network

A Litvinenko, D Kucherov, M Glybovets - Cybernetics and Systems …, 2022 - Springer
A method for determining the weights of a binary neural network based on its decomposition
into elementary modules is presented. The approach allows tuning the weight coefficients of …

An Algebraic Method for the Synthesis of Error-Free Binary Neural Network

A Litvinenko - Cybernetics and Systems Analysis, 2024 - Springer
A mathematical model of the problem of calculating the weight coefficients of a binary neural
network is presented. It is proved that in the case of step functions of neuron activation, this …

Comparison and Analysis of Various Autoencoders

A Makandar, K Wangi - Emerging Technologies in Data Mining and …, 2022 - Springer
The autoencoder is family of deep neutral network which learns to reconstruct its input. It has
three main parts encoder, code, and decoder. Autoencoders are effective unsupervised …

A new method to build an associative memory model

AG Carranza… - IEEE Latin America …, 2021 - ieeexplore.ieee.org
An associative memory is an artificial neural network model designed to store and recall
input-output patterns pairs by association. A new method for obtaining two associative …