Multi-modal medical image classification using deep residual network and genetic algorithm
Artificial intelligence (AI) development across the health sector has recently been the most
crucial. Early medical information, identification, diagnosis, classification, then analysis …
crucial. Early medical information, identification, diagnosis, classification, then analysis …
A systematic review on handwritten document analysis and recognition
S Inunganbi - Multimedia Tools and Applications, 2024 - Springer
Abstract Document Analysis and Recognition (DAR) is ongoing research that has been
studied extensively for many decades and it has achieved a substantial level that generates …
studied extensively for many decades and it has achieved a substantial level that generates …
Comparison of CNN's Architecture GoogleNet, AlexNet, VGG-16, Lenet-5, Resnet-50 in Arabic Handwriting Pattern Recognition
GS Nugraha, MI Darmawan… - … Electronics, and Control, 2023 - kinetik.umm.ac.id
The Arabic script is written from right to left and consists of 28 characters, with no capital or
lowercase letters. The Arabic script has several orthographic and morphological properties …
lowercase letters. The Arabic script has several orthographic and morphological properties …
[HTML][HTML] VashaNet: An automated system for recognizing handwritten Bangla basic characters using deep convolutional neural network
Automated character recognition is currently highly popular due to its wide range of
applications. Bengali handwritten character recognition (BHCR) is an extremely difficult …
applications. Bengali handwritten character recognition (BHCR) is an extremely difficult …
[HTML][HTML] Comparative study of IoT-and AI-based computing disease detection approaches
The emergence of different computing methods such as cloud-, fog-, and edge-based
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
Deep learning model for recognition of handwritten devanagari numerals with low computational complexity and space requirements
D Rajpal, AR Garg - IEEE Access, 2023 - ieeexplore.ieee.org
The broad application area and accompanying challenges make machine learning-based
recognition of handwritten scripts a demanding field. Individuals' writing practices and …
recognition of handwritten scripts a demanding field. Individuals' writing practices and …
Advancing Multilingual Handwritten Numeral Recognition With Attention-Driven Transfer Learning
As deep learning continues to evolve, we have observed huge breakthroughs in the fields of
medical imaging, video and frame generation, optical character recognition (OCR), and …
medical imaging, video and frame generation, optical character recognition (OCR), and …
Deep transfer learning based detection and classification of citrus plant diseases
Citrus fruit crops are among the world's most important agricultural products, but pests and
diseases impact their cultivation, resulting in yield and quality losses. Computer vision and …
diseases impact their cultivation, resulting in yield and quality losses. Computer vision and …
Cell phenotype classification based on joint of texture information and multilayer feature extraction in DenseNet
Cell phenotype classification is a critical task in many medical applications, such as protein
localization, gene effect identification, and cancer diagnosis in some types. Fluorescence …
localization, gene effect identification, and cancer diagnosis in some types. Fluorescence …
Handwritten digits recognition using transfer learning
N Azawi - Computers and Electrical Engineering, 2023 - Elsevier
Researchers often focus on building models that maximize overall predictive accuracy. In
practice, however, it can be important for a model to yield good accuracy with each class …
practice, however, it can be important for a model to yield good accuracy with each class …