Fastai: a layered API for deep learning

J Howard, S Gugger - Information, 2020 - mdpi.com
fastai is a deep learning library which provides practitioners with high-level components that
can quickly and easily provide state-of-the-art results in standard deep learning domains …

Change detection of deforestation in the Brazilian Amazon using landsat data and convolutional neural networks

PP De Bem, OA de Carvalho Junior… - Remote Sensing, 2020 - mdpi.com
Mapping deforestation is an essential step in the process of managing tropical rainforests. It
lets us understand and monitor both legal and illegal deforestation and its implications …

Deep learning and machine vision approaches for posture detection of individual pigs

A Nasirahmadi, B Sturm, S Edwards, KH Jeppsson… - Sensors, 2019 - mdpi.com
Posture detection targeted towards providing assessments for the monitoring of health and
welfare of pigs has been of great interest to researchers from different disciplines. Existing …

Energy Forecasting: A Comprehensive Review of Techniques and Technologies

A Mystakidis, P Koukaras, N Tsalikidis, D Ioannidis… - Energies, 2024 - mdpi.com
Distribution System Operators (DSOs) and Aggregators benefit from novel energy
forecasting (EF) approaches. Improved forecasting accuracy may make it easier to deal with …

Identification of road-surface type using deep neural networks for friction coefficient estimation

E Šabanovič, V Žuraulis, O Prentkovskis, V Skrickij - Sensors, 2020 - mdpi.com
Nowadays, vehicles have advanced driver-assistance systems which help to improve
vehicle safety and save the lives of drivers, passengers and pedestrians. Identification of the …

Deep learning for encrypted traffic classification and unknown data detection

MH Pathmaperuma, Y Rahulamathavan, S Dogan… - Sensors, 2022 - mdpi.com
Despite the widespread use of encryption techniques to provide confidentiality over Internet
communications, mobile device users are still susceptible to privacy and security risks. In …

CNN-based tree species classification using high resolution RGB image data from automated UAV observations

S Egli, M Höpke - Remote Sensing, 2020 - mdpi.com
Data on the distribution of tree species are often requested by forest managers, inventory
agencies, foresters as well as private and municipal forest owners. However, the automated …

The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes

B Schuller, A Batliner, S Amiriparian, C Bergler… - Proceedings of the 30th …, 2022 - dl.acm.org
The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …

User-independent hand gesture recognition classification models using sensor fusion

JG Colli Alfaro, AL Trejos - Sensors, 2022 - mdpi.com
Recently, it has been proven that targeting motor impairments as early as possible while
using wearable mechatronic devices for assisted therapy can improve rehabilitation …

Forecasting stock market indices using the recurrent neural network based hybrid models: CNN-LSTM, GRU-CNN, and ensemble models

H Song, H Choi - Applied Sciences, 2023 - mdpi.com
Various deep learning techniques have recently been developed in many fields due to the
rapid advancement of technology and computing power. These techniques have been …