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 …
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 …
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
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 …
welfare of pigs has been of great interest to researchers from different disciplines. Existing …
Energy Forecasting: A Comprehensive Review of Techniques and Technologies
Distribution System Operators (DSOs) and Aggregators benefit from novel energy
forecasting (EF) approaches. Improved forecasting accuracy may make it easier to deal with …
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
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 …
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 …
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 …
agencies, foresters as well as private and municipal forest owners. However, the automated …
The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes
The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …
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 …
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 …
rapid advancement of technology and computing power. These techniques have been …