Terminal strip detection and recognition based on improved YOLOv7-tiny and MAH-CRNN+CTC models
For substation secondary circuit terminal strip wiring, low efficiency, less easy fault detection and inspection, and a variety of other issues, this study proposes a text detection and identification model based on improved YOLOv7-tiny and MAH-CRNN+CTC ...
Guo Zhijun +3 more
doaj +1 more source
A-CRNN-Based Method for Coherent DOA Estimation with Unknown Source Number [PDF]
Yuanyuan Yao, Lei Hong, Wenjing He
openalex +1 more source
Sound event localization and detection based on crnn using rectangular\n filters and channel rotation data augmentation [PDF]
Francesca Ronchini +2 more
openalex +3 more sources
India, being increasingly burdened with a huge number of diabetic patients, is severely affected by diabetic retinopathy (DR), a common vision-threatening microvascular complication of diabetes.
Sankalita Sarkar, Sanjit Dey
doaj +1 more source
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking [PDF]
Mojtaba Heydari +2 more
openalex +2 more sources
Scene Text Detection and Recognition Using Maximally Stable Extremal Region
In recent years, scene text detection and recognition have become important research areas in computer vision and machine learning. Traditional text detection and recognition methods may struggle with detecting and recognizing text in images with low ...
Golda Jeyasheeli P +3 more
doaj +1 more source
A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA [PDF]
Saravanan Srinivasan +7 more
openalex +1 more source
The recently proposed Chemical Reaction Neural Network (CRNN) discovers chemical reaction pathways from time resolved species concentration data in a deterministic manner. Since the weights and biases of a CRNN are physically interpretable, the CRNN acts
Emily Nieves +3 more
doaj +1 more source
Research on Water Meter Digital Recognition Method based on DBNET-CRNN Framework
Weiye Li
openalex +2 more sources
Analisis Akurasi dan Waktu Proses Deteksi Sentimen Menggunakan Image Mel-Spectrogram
Dalam upaya meningkatkan interaksi manusia-mesin, penelitian deteksi sentimen sudah banyak dilakukan peneliti untuk tujuan tersebut. Seiring dengan berkembangnya Mesin Pembelajaran, penelitian ini akan membandingkan kemampuan empat model klasifikasi ...
Jutono Gondohanindijo
doaj +1 more source

