Forecasting bitcoin price by tuned long short term memory model

A Petrovic, L Jovanovic, M Zivkovic… - … on innovation in …, 2023 - atlantis-press.com
The interest for cryptocurrencies is high and hence this work focuses on providing a practical
real-world application of the swarm metaheuristics and long short term memory model …

The xgboost approach tuned by tlb metaheuristics for fraud detection

A Petrovic, M Antonijevic, I Strumberger… - … on Innovation in …, 2023 - atlantis-press.com
The recent pandemic had a major impact on online transactions. With this trend, credit card
fraud increased. For the solution to this problem the authors explore existing solutions and …

Artificial neural network tuning by improved sine cosine algorithm for healthcare 4.0

M Gajevic, N Milutinovic, J Krstovic… - Proceedings of the …, 2023 - books.google.com
This paper explores classification of datasets for Healthcare 4.0 using artificial neural
networks which are tuned by improved sine cosine algorithm (SCA). Healthcare 4.0 themes …

Retinal disease classification based on optical coherence tomography images using convolutional neural networks

M Stanojević, D Drašković… - Journal of Electronic …, 2023 - spiedigitallibrary.org
The challenges in today's medicine are progressively more related to the application of
artificial intelligence and supervised learning techniques. Optical coherence tomography …

Intrusion detection by xgboost model tuned by improved multi-verse optimizer

A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
Artificial intelligence and internet of things (IoT) fields have contributed to the flourishment of
the industry 4.0 concept. The main benefits include the improvements in terms of device …

Training a logistic regression machine learning model for spam email detection using the teaching-learning-based-optimization algorithm

S Berrou, K Al Kalbani, M Antonijevic… - Proceedings of the …, 2023 - books.google.com
Spam and emails have always been intrinsically linked since the creation of the Advanced
Research Projects Agency Network, otherwise known as (ARPANET). The latter witnessed …

Secure Face Recognition Using Fully Homomorphic Encryption and Convolutional Neural Networks

T Liu - Informatica, 2024 - informatica.si
As a unique physiological characteristic, facial information is considered privacy information.
This paper combines fully homomorphic encryption technology with a convolutional neural …

Chaotic Encryption-Based Network Robot for Indoor Security and Remote Video Monitoring

M Zhang, N Chen - Informatica, 2024 - informatica.si
As society develops and living standards improve, people are putting forward higher and
higher requirements for their living environment. In order to meet the needs of indoor …

Discrete Cosine Transform-Based Kernel Discriminant Analysis for Enhanced Biometric Recognition

W Ma - Traitement du Signal, 2024 - search.proquest.com
This study presents a comprehensive exploration of the Discrete Cosine Transform (DCT)
and its application in biometric recognition systems, with a specific focus on improving the …

Forecasting Bitcoin Price by Tuned Long Short Term Memory Model

N Bacanin, N Budimirovic… - Proceedings of the 1st …, 2023 - books.google.com
The interest for cryptocurrencies is high and hence this work focuses on providing a practical
real-world application of the swarm metaheuristics and long short term memory model …