An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks
With the rapid development of telecommunication networks, the predictability of network
traffic is of significant interest in network analysis and optimization, bandwidth allocation …
traffic is of significant interest in network analysis and optimization, bandwidth allocation …
[HTML][HTML] Charging management of electric vehicles with the presence of renewable resources
Considering the increasing use of electric vehicles, the establishment of charging stations to
exchange power between the grid and electric devices, and the integration of charging …
exchange power between the grid and electric devices, and the integration of charging …
Topic sentiment analysis based on deep neural network using document embedding technique
Sentiment Analysis (SA) is a domain-or topic-dependent task since polarity terms convey
different sentiments in various domains. Hence, machine learning models trained on a …
different sentiments in various domains. Hence, machine learning models trained on a …
[HTML][HTML] Automatic modulation recognition using deep CVCNN-LSTM architecture
R Cheng, Q Chen, M Huang - Alexandria Engineering Journal, 2024 - Elsevier
Automatic modulation recognition (AMR) stands as a pivotal operation within industrial
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
Digital transformation, productive services agglomeration and innovation performance
Y Ding, Z Shi, R ** into the digital
age, digital transformation has triggered the innovation revolution. This paper takes 30 …
age, digital transformation has triggered the innovation revolution. This paper takes 30 …
An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China–Europe railway express
Since the inception of the China–Europe Railway Express (CRE), rail transportation has
emerged as a predominant means of transporting goods across international borders. The …
emerged as a predominant means of transporting goods across international borders. The …
Energy management system for smart grid in the presence of energy storage and photovoltaic systems
A Kermani, AM Jamshidi, Z Mahdavi… - International Journal …, 2023 - Wiley Online Library
Today, the desire to use renewable energy as a source of clean and available energy in the
grid has increased. Due to the unpredictable behavior of renewable resources, it is …
grid has increased. Due to the unpredictable behavior of renewable resources, it is …
Evaluation and selection models for ensemble intrusion detection systems in IoT
Using the Internet of Things (IoT) for various applications, such as home and wearables
devices, network applications, and even self-driven vehicles, detecting abnormal traffic is …
devices, network applications, and even self-driven vehicles, detecting abnormal traffic is …
Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation
The classification of electrocardiogram (ECG) plays a crucial role in the development of an
automatic cardiovascular diagnostic system. However, the considerable variances in ECG …
automatic cardiovascular diagnostic system. However, the considerable variances in ECG …
Stacking based ensemble learning framework for identification of nitrotyrosine sites
Protein nitrotyrosine is an essential post-translational modification that results from the
nitration of tyrosine amino acid residues. This modification is known to be associated with …
nitration of tyrosine amino acid residues. This modification is known to be associated with …