Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach
JGM Anguita, OD Olariaga - Case Studies on Transport Policy, 2023 - Elsevier
The prediction of air traffic demand (passengers and cargo) in a regional/national air
transport system is essential. Knowing the behavior of future demand helps, on the one …
transport system is essential. Knowing the behavior of future demand helps, on the one …
[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges
N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …
deep learning techniques into natural language processing representing significant …
An automated voice command classification model based on an attention-deep convolutional neural network for industrial automation system
In this research, a method was developed for utilizing voice commands with programmable
logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems …
logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems …
[HTML][HTML] A novel coal-rock cutting state identification model based on the Internet of Things
D Song, C Venugopal - International Journal of Cognitive Computing in …, 2023 - Elsevier
The sudden change in the interface between coal-rock mass can lead to the increased
abrasion of picks and the failure rate of mining machinery. The safe and efficient coal-rock …
abrasion of picks and the failure rate of mining machinery. The safe and efficient coal-rock …
Air passenger demand forecast through the use of Artificial Neural Network algorithms
JG Muros Anguita… - International Journal of …, 2022 - commons.erau.edu
Airport planning depends to a large extent on the levels of activity that are anticipated. To
plan the facilities and infrastructures of an airport system and to be able to satisfy future …
plan the facilities and infrastructures of an airport system and to be able to satisfy future …
[HTML][HTML] Handwritten alphabet classification in Tamil language using convolution neural network
J Ravi - International Journal of Cognitive Computing in …, 2024 - Elsevier
Abstract Handwritten Alphabet Recognition can be defined as the way of detecting
characters from images of Handwritten language alphabets. This is one of the important …
characters from images of Handwritten language alphabets. This is one of the important …
Recognizing Indian Languages Speech Sound using Transfer Learning Approach
There is a lot of variation in Indian languages' pronunciation, dialects, and accents from one
place to the next, making voice detection a difficult process. Deep learning-based methods …
place to the next, making voice detection a difficult process. Deep learning-based methods …