An enhanced approach for sentiment analysis based on meta-ensemble deep learning

R Kora, A Mohammed - Social Network Analysis and Mining, 2023 - Springer
Sentiment analysis, commonly known as “opinion mining,” aims to identify sentiment
polarities in opinion texts. Recent years have seen a significant increase in the acceptance …

Water level prediction model based on GRU and CNN

M Pan, H Zhou, J Cao, Y Liu, J Hao, S Li… - Ieee …, 2020 - ieeexplore.ieee.org
Massive amount of water level data has been collected by using Internet of Things (IoT)
techniques in the Yangtze River and other rivers. In this paper, utilizing these data to …

HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks

ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …

AIPs-DeepEnC-GA: Predicting anti-inflammatory peptides using embedded evolutionary and sequential feature integration with genetic algorithm based deep …

A Raza, J Uddin, Q Zou, S Akbar, W Alghamdi… - … and Intelligent Laboratory …, 2024 - Elsevier
Inflammation is a biological response to harmful stimuli including infections, damaged cells,
tissue injuries, and toxic chemicals. It plays an essential role in facilitating tissue repair by …

[PDF][PDF] Survey on graph embeddings and their applications to machine learning problems on graphs

I Makarov, D Kiselev, N Nikitinsky, L Subelj - PeerJ Computer Science, 2021 - peerj.com
Dealing with relational data always required significant computational resources, domain
expertise and task-dependent feature engineering to incorporate structural information into a …

A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept

N Nasser, ZM Fadlullah, MM Fouda, A Ali, M Imran - Computer Networks, 2022 - Elsevier
The concept of an intelligent pandemic response network is gaining momentum during the
current novel coronavirus disease (COVID-19) era. A heterogeneous communication …

DeepLRHE: a deep convolutional neural network framework to evaluate the risk of lung cancer recurrence and metastasis from histopathology images

Z Wu, L Wang, C Li, Y Cai, Y Liang, X Mo, Q Lu… - Frontiers in …, 2020 - frontiersin.org
It is critical for patients who cannot undergo eradicable surgery to predict the risk of lung
cancer recurrence and metastasis; therefore, the physicians can design the appropriate …

Automatic Rice Plant's disease diagnosis using gated recurrent network

B Patel, A Sharaff - Multimedia Tools and Applications, 2023 - Springer
Rice crop contains a wide variety of diseases that can affect the entire yield. These infections
include but are not limited to fungal blast (Magnaporthe grisea), sheath rot, sheath blight …

A novel hybrid walk-forward ensemble optimization for time series cryptocurrency prediction

DO Oyewola, EG Dada, JN Ndunagu - Heliyon, 2022 - cell.com
Cryptocurrency is an advanced digital currency that is secured by encryption, making it
nearly impossible to forge or duplicate. Many cryptocurrencies are blockchain-based with …

Fertility-GRU: identifying fertility-related proteins by incorporating deep-gated recurrent units and original position-specific scoring matrix profiles

NQK Le - Journal of proteome research, 2019 - ACS Publications
Protein function prediction is one of the well-known problems in proteome research,
attracting the attention of numerous researchers. However, the implementation of deep …