Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit
Manual sorting of fruits was considered as a significant challenging for agricultural sector as
it is a laborious task and may also lead to inconsistency in the classification. In order to …
it is a laborious task and may also lead to inconsistency in the classification. In order to …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
V Narayan, PK Mall, A Alkhayyat, K Abhishek… - Journal of …, 2023 - Wiley Online Library
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Business boosting through sentiment analysis using Artificial Intelligence approach
In the recent years, Artificial Intelligence has conquered every field whether it is health
sector, financial sector, satellite system, farming sector and many more. Artificial Intelligence …
sector, financial sector, satellite system, farming sector and many more. Artificial Intelligence …
Research on image text recognition based on canny edge detection algorithm and k-means algorithm
F Wu, C Zhu, J Xu, MW Bhatt, A Sharma - International Journal of System …, 2022 - Springer
The latest research in the field of recognition of image characters has led to various
developments in the modern technological works for the improvement of recognition rate …
developments in the modern technological works for the improvement of recognition rate …
Intelligent intrusion detection for internet of things security: A deep convolutional generative adversarial network-enabled approach
With the rapid advance of Internet of Things (IoT), it is difficult for cloud-centric computing to
meet the requirements of low latency and ease of use. As an open and distributed system …
meet the requirements of low latency and ease of use. As an open and distributed system …
Towards improving e-commerce customer review analysis for sentiment detection
According to a report published by Business Wire, the market value of e-commerce reached
US 13trillionandisexpectedtoreachUS 55.6 trillion by 2027. In this rapidly growing market …
US 13trillionandisexpectedtoreachUS 55.6 trillion by 2027. In this rapidly growing market …
Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung
M Wang, X Dai, X Yang, B Jin, Y Xie, C Xu, Q Liu… - ACS …, 2024 - ACS Publications
Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical
problem which is leading to serious false positive diagnosis and overtreatment. Here, we …
problem which is leading to serious false positive diagnosis and overtreatment. Here, we …
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading
Pathologic grading of laryngeal squamous cell carcinoma (LSCC) plays a crucial role in
diagnosis, prognosis, and migration. However, the grading performance and interpretability …
diagnosis, prognosis, and migration. However, the grading performance and interpretability …
Deep learning‐based microarray cancer classification and ensemble gene selection approach
Malignancies and diseases of various genetic origins can be diagnosed and classified with
microarray data. There are many obstacles to overcome due to the large size of the gene …
microarray data. There are many obstacles to overcome due to the large size of the gene …
Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder
Adults who have brain tumors face a serious and potentially fatal challenge since the tumors
rapidly growing malignant cells can seriously impair their physiological ability. In clinical …
rapidly growing malignant cells can seriously impair their physiological ability. In clinical …