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Android Application for Tomato Leaf Disease Prediction Based on MobileNet Fine-tuning
Tomato is one of the most well-known and widely cultivated plants in the world. Tomato production result is affected by the
conditions of the plants when they are cultivated. It may decrease due to leaf plant disease caused by climate change,…
conditions of the plants when they are cultivated. It may decrease due to leaf plant disease caused by climate change,…
Disease Detection on Rice Leaves through Deep Learning with InceptionV3 Method
The rate of growth in the agricultural sector in Indonesia puts demands on people who work as farmers to maintain and
improve the quality of agriculture. Rice, which is one of the basic needs of the community, is currently the most in demand.…
improve the quality of agriculture. Rice, which is one of the basic needs of the community, is currently the most in demand.…
A Comprehensive Bibliometric Analysis of Deep Learning Techniques for Breast Cancer Segmentation: Trends and Topic Exploration (2019-2023)
The objective of this study is to perform a comprehensive bibliometric analysis of the existing literature on breast cancer
segmentation using deep learning techniques. Data for this analysis were obtained from the Web of Science Core Collection…
segmentation using deep learning techniques. Data for this analysis were obtained from the Web of Science Core Collection…
Hyperparameter Optimization of CNN Classifier for Music Genre Classification
Playing music through a digital platform that has a large database of songs requires automated classification of music genres,
highlighting the need to develop a model for music genre classification that is more efficient and accurate. This study…
highlighting the need to develop a model for music genre classification that is more efficient and accurate. This study…
Designing A WSNs-based Smart Home Monitoring System through Deep Reinforcement Learning
Smart home system technology has developed rapidly and provides convenience for human life. Several smart
home technologies, especially monitoring systems, have been developed by integrating several aspects, including
security systems, fuzzy…
home technologies, especially monitoring systems, have been developed by integrating several aspects, including
security systems, fuzzy…
Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model
Acute Lymphoblastic Leukemia (ALL) is the most prevalent form of leukemia that occurs in children. Detection of ALL through
white blood cell image analysis can assist in prognosis and appropriate treatment. In this study, the author proposes an…
white blood cell image analysis can assist in prognosis and appropriate treatment. In this study, the author proposes an…
Comparison of LSTM and IndoBERT Method in Identifying Hoax on Twitter
In recent years, social media users have been increasing significantly, in January 2022 social media users in Indonesia reached
191 million people which has an increase of 12.35% from the previous year as many as 170 million people, With this…
191 million people which has an increase of 12.35% from the previous year as many as 170 million people, With this…
A Hybrid Vision Transformer Model for Efficient Waste Classification
The rapid and accurate sorting of municipal waste is essential for efficient recycling and sustainable
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…
Comparing ASM and Learning-Based Methods for Satellite Image Dehazing
Recent advancements in optical satellite technologies have significantly improved image resolution, providing more detailed information about Earth’s surface. However, atmospheric interference, such as haze, is still a major factor in image capture.…
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through natural language inference (NLI) to verify the truthfulness of information…