Semantic convolutional neural network model for safe business investment by using bert
M Heidari, S Rafatirad - 2020 Seventh International Conference …, 2020 - ieeexplore.ieee.org
The real estate market creates one of the significant business domains for investors, but a
wise investment in real estate is more important for low-income people who have just one …
wise investment in real estate is more important for low-income people who have just one …
Learning skills from demonstrations: A trend from motion primitives to experience abstraction
The uses of robots are changing from static environments in factories to encompass novel
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …
PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer
F Negahbani, R Sabzi, B Pakniyat Jahromi… - Scientific reports, 2021 - nature.com
The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as
prognostic factors in predicting both tumor progression and probable response to …
prognostic factors in predicting both tumor progression and probable response to …
Aztr: Aerial video action recognition with auto zoom and temporal reasoning
We propose a novel approach for aerial video action recognition. Our method is designed
for videos captured using UAVs and can run on edge or mobile devices. We present a …
for videos captured using UAVs and can run on edge or mobile devices. We present a …
Automatic generation of descriptive titles for video clips using deep learning
Over the last decade, the use of Deep Learning in many applications produced results that
are comparable to and in some cases surpassing human expert performance. The …
are comparable to and in some cases surpassing human expert performance. The …
Point Cloud Completion: A Survey
Point cloud completion is the task of producing a complete 3D shape given an input of a
partial point cloud. It has become a vital process in 3D computer graphics, vision and …
partial point cloud. It has become a vital process in 3D computer graphics, vision and …
Drdr: Automatic masking of exudates and microaneurysms caused by diabetic retinopathy using mask r-cnn and transfer learning
F Shenavarmasouleh, HR Arabnia - … : Proceedings from IPCV'20, HIMS'20 …, 2021 - Springer
This paper addresses the problem of identifying two main types of lesions—Exudates and
Microaneurysms—caused by Diabetic Retinopathy (DR) in the eyes of diabetic patients. We …
Microaneurysms—caused by Diabetic Retinopathy (DR) in the eyes of diabetic patients. We …
Interpatient ECG arrhythmia detection by residual attention CNN
P Xu, H Liu, X Xie, S Zhou, M Shu… - … Methods in Medicine, 2022 - Wiley Online Library
The precise identification of arrhythmia is critical in electrocardiogram (ECG) research. Many
automatic classification methods have been suggested so far. However, efficient and …
automatic classification methods have been suggested so far. However, efficient and …
A multi-stream sequence learning framework for human interaction recognition
Human interaction recognition (HIR) is challenging due to multiple humans' involvement and
their mutual interaction in a single frame, generated from their movements. Mainstream …
their mutual interaction in a single frame, generated from their movements. Mainstream …
Deepmsrf: A novel deep multimodal speaker recognition framework with feature selection
For recognizing speakers in video streams, significant research studies have been made to
obtain a rich machine learning model by extracting high-level speaker's features such as …
obtain a rich machine learning model by extracting high-level speaker's features such as …