Myfood: A food segmentation and classification system to aid nutritional monitoring
CNC Freitas, FR Cordeiro… - 2020 33rd SIBGRAPI …, 2020 - ieeexplore.ieee.org
The absence of food monitoring has contributed significantly to the increase in the
population's weight. Due to the lack of time and busy routines, most people do not control …
population's weight. Due to the lack of time and busy routines, most people do not control …
Рекомендаційна система формування команд виконавців з відповідними фаховими компетентностями
РМ Небесний - 2023 - elartu.tntu.edu.ua
В умовах постійних технологічних трансформацій та зростання ринкової конкуренції,
рекомендаційна система, зорієнтована на формування високофахових проєктних …
рекомендаційна система, зорієнтована на формування високофахових проєктних …
Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation
CS Williams - 2022 - dspace.mit.edu
Satellite imagery data analysis has made great strides, however still endures inertia due to
difficulty generating robust, labeled datasets for complex learners. Variation in data and …
difficulty generating robust, labeled datasets for complex learners. Variation in data and …
Contribution to Object Extraction in Cartography: A Novel Deep Learning-Based Solution to Recognise, Segment and Post-Process the Road Transport Network as a …
CI Cira - 2022 - oa.upm.es
Remote sensing imagery combined with deep learning strategies is often regarded as an
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
[PDF][PDF] Big Data Reference Architecture for Industry 4.0
JAN STROHSCHEIN - 2021 - core.ac.uk
The development of technology is getting faster and faster. In 1965 Moore predicted that the
number of transistors in a computer chip and therefore its processing power would double …
number of transistors in a computer chip and therefore its processing power would double …
[PDF][PDF] Image Segmentation with Neural Networks for Indoor Pieces
KY Joël - joelromanky.github.io
Deep learning has revolutionized artificial intelligence by the introduction of neural
networks. In fact, the multiple applications of neural networks allowed a significant …
networks. In fact, the multiple applications of neural networks allowed a significant …
Segmentation of Multiple Myeloma plasma cells in microscopic images
H Kathiriya - 2021 - search.proquest.com
Multiple myeloma is a cancer that forms in a plasma cell which is a white blood cell. Usually,
in multiple myeloma, cancerous plasma cells accumulate in the bone marrow and affect the …
in multiple myeloma, cancerous plasma cells accumulate in the bone marrow and affect the …
Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets
P Furtado - Artificial Intelligence and Machine Learning for Digital …, 2020 - Springer
Today deep learning techniques (DL) are the main focus in classification of disease
conditions from histology slides, but this task used to be done by more traditional machine …
conditions from histology slides, but this task used to be done by more traditional machine …
Lane Detection Model using Deep Learning Algorithms
JA Tello del Rosal - 2020 - repositorio.comillas.edu
One of the most important and necessary parts to achieve a successful Autonomous Driving
model and driving assistance systems is the detection of the road and its limits. The …
model and driving assistance systems is the detection of the road and its limits. The …
[PDF][PDF] Computer vision and machine learning based navigation
A Subramanian, N Zubková - 2019 - odr.chalmers.se
Nowadays robots and other artificial assistants became popular assets to the households,
making the procedures like vacuum cleaning or grass cutting automatized procedure. Those …
making the procedures like vacuum cleaning or grass cutting automatized procedure. Those …