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Forecasting bitcoin price by tuned long short term memory model
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 …
real-world application of the swarm metaheuristics and long short term memory model …
The xgboost approach tuned by tlb metaheuristics for fraud detection
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 …
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 …
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 …
artificial intelligence and supervised learning techniques. Optical coherence tomography …
Intrusion detection by xgboost model tuned by improved multi-verse optimizer
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 …
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 …
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 …
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 …
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 …
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 …
real-world application of the swarm metaheuristics and long short term memory model …