Medical image identification methods: A review

J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2024 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Moth search: Variants, hybrids, and applications

J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

[HTML][HTML] Commodity demand forecasting based on multimodal data and recurrent neural networks for E-commerce platforms

C Li - Intelligent Systems with Applications, 2024 - Elsevier
Abstracts The study proposes a cascaded hybrid neural network commodity demand
prediction model based on multimodal data. This model aims to improve the accuracy of …

Neural Network Algorithm with Dropout Using Elite Selection

Y Wang, K Wang, G Wang - Mathematics, 2022 - mdpi.com
A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural
network, which has a strong global search ability and can be used to solve global …

DAMIAN–data accrual machine intelligence with augmented networks for contextually coherent creative story generation

BJ Sowmya, DP Kumar… - … and Data Mining, 2023 - inderscienceonline.com
Cognitive computing refers to the usage of computer models to simulate human intelligence
and thought process in a complex situation. Artificial intelligence (AI) is an augmentation to …

Алгоритмічно-програмний метод визначення активного мовця

ОО Нікітін - 2024 - ela.kpi.ua
Анотація Дана магістерська дисертація присвячена розробленню та реалізації
алгоритмічно-програмного методу для визначення активного мовця. В ході даної …

[PDF][PDF] A Hierarchical Multimodal Perception Framework for Intelligent Systems

D Bhandari, S Paul - NSC-2021, 2021 - researchgate.net
Learning techniques is causing researchers to argue if machines will replace humans in the
future. The self learning capabilities of existing Intelligent Systems are raising questions …