FCNet: Flower Classification Using Custom-Made Convolution Neural Network and Transfer Learningdoi:10.1007/978-981-16-3097-2_10Although much work has been done in the field of machine learning, there are some limitations in its real-world applications. The optimal situation for machine learning ...
Given the limitations of small-scale datasets and the complexity of real-world photography, developing an efficient and accurate flower classification system is a significant challenge. This study introduces a novel flower classification network architecture, RCS-net, which uses transfer learning and ...
We tested the performance of three deep learning light-weight models, YOLOv5nano, YOLOv5small, and YOLOv7tiny, at object recognition and classification in real time on eight groups of flower-visiting arthropods using open-source image data. These eight groups contained four orders of insects ...
Pre-mRNA splicing is crucial for gene expression and depends on the spliceosome and splicing factors. Plant exons have an average size of ~180 nucleotides and typically contain motifs for interactions with spliceosome and splicing factors. Micro exons (&
aI've loved learning new things and solving problems 我喜爱学会新的事和解决问题[translate] aobserve safety instructions 观察安全指令[translate] aa. That the investigation has been conducted to a level commensurate with the classification and scale of the occurrence. And the anticipated safety outcomes...
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. Keywords: ...
Fast-Bert is a deep learning library that allows developers and data scientists to train and deploy BERT and XLNet based models for natural language processing tasks beginning with Text Classification. It is aimed at simplicity. Keywords: Deployment, BERT, XLNet towhee Towhee makes ...
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. ...
The LBP pattern at the middle pixel 𝑙𝑐lc is achieved using the above equation, and the image result obtained from SLBT is denoted as 𝑉1V1. ii. Speeded-Up Robust Feature (SURF); SURF [32] is a local feature descriptor that is highly employed for functions like classification, objec...
CNNs are a specific type of artificial neural network widely employed in deep learning for tasks such as image classification and computer vision. Unlike traditional approaches that involve laborious feature extraction methods, CNNs offer a more efficient and scalable solution. They leverage matrix mult...