Adaptive deep learning based on FaceNet convolutional neural network for facial expression recognition
MMI Al-Ghiffary, NRD Cahyo… - Journal of Soft …, 2024 - shmpublisher.com
Facial recognition technology has become increasingly crucial in various applications, from
personal identification, security, and human-care. Facial recognition has numerous practical …
personal identification, security, and human-care. Facial recognition has numerous practical …
Classification of Corn Leaf Disease Using Convolutional Neural Network
Corn is a crop that plays a major role in food supply worldwide. Known as a cereal crop with
high economic value, corn is one of the most important raw materials in the agricultural …
high economic value, corn is one of the most important raw materials in the agricultural …
A web-based for Demak batik classification using vgg16 convolutional neural network
SSF Ardyani, CA Sari - Advance Sustainable Science …, 2024 - journal2.upgris.ac.id
The diversity of Demak batik motifs presents challenges in classification and identification.
This research aims to develop a Demak batik motif classification system using deep learning …
This research aims to develop a Demak batik motif classification system using deep learning …
[PDF][PDF] Comparison of DenseNet-121 and MobileNet for Coral Reef Classification
Coral reefs are a type of marine organism that has beauty and benefits for other sea
creatures' ecosystems. However, despite its beauty and usefulness, coral reefs are …
creatures' ecosystems. However, despite its beauty and usefulness, coral reefs are …
Optimizing Deep Learning Models with Custom ReLU for Breast Cancer Histopathology Image Classification
Purpose: The prompt identification of breast cancer is crucial in preventing the considerable
damage inflicted by this dangerous form of cancer, which is widely happened across the …
damage inflicted by this dangerous form of cancer, which is widely happened across the …
Hiragana Character Classification Using Convolutional Neural Networks Methods based on Adam, SGD, and RMSProps Optimizer
Purpose: Hiragana image classification poses a significant challenge within the realms of
image processing and machine learning. Despite advances, achieving high accuracy in …
image processing and machine learning. Despite advances, achieving high accuracy in …
Characterizing Hardware Utilization on Edge Devices when Inferring Compressed Deep Learning Models
ANL Nabhaan, RD Rachmanto… - MATRIK: Jurnal …, 2024 - journal.universitasbumigora.ac.id
Implementing edge AI involves running AI algorithms near the sensors. Deep Learning (DL)
Model has successfully tackled image classification tasks with remarkable performance …
Model has successfully tackled image classification tasks with remarkable performance …