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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,…
YOLOv11 Model as a Smart Solution for Waste Identification and Classification in Automated Waste Management System
Urbanization and population growth present significant challenges for efficient and sustainable waste management. This research develops an IoT-based intelligent system for waste classification and
management utilizing RFID technology, ESP32, a…
management utilizing RFID technology, ESP32, a…
A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement
Image enhancement as a problem-oriented process of optimizing visual appearances to provide easier-toprocess input to automated image processing techniques is an area that will consistently be a companion
to computer vision despite advances in…
to computer vision despite advances in…
Pleural Effusion Classification Based on Chest X-Ray Images using Convolutional Neural Network
Pleural effusion is an abnormal lung condition characterized by a buildup of fluid between the two layers of the pleura, which causes specific symptoms such as chest pain and shortness of breath. In Indonesia, pleural effusion cases alone account for…
VISUAL RECOGNITION OF GRAPHICAL USER INTERFACE COMPONENTS USING DEEP LEARNING TECHNIQUE
Graphical User Interface (GUI) building in software development is a process which ideally need to go through several steps. Those steps in the process start from idea or rough sketch of the GUI, then refined into visual design, implemented in coding…
FULLY CONVOLUTIONAL VARIATIONAL AUTOENCODER FOR FEATURE EXTRACTION OF FIRE DETECTION SYSTEM
This paper proposes a fully convolutional variational autoencoder (VAE) for features extraction from a large-scale dataset of fire images. The dataset will be used to train the deep learning algorithm to detect fire and smoke. The features extraction…
TELKOMNIKA Telecommunication Computing Electronics and Control
Investigation of classical segmentation's impact on paddy disease classification performance
The key source of information for disease diagnosis and classification in paddy diseases is the leaves. Applying hybrid techniques, such as image processing-pattern recognition (IP-PR) and computer vision-based technologies, is the answer to…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Development smart eyeglasses for visually impaired people based on you only look once
Visually impaired people are facing many problems in their life. One of
these problems is how they can find the objects in their indoor environment. This research was presented to assists visually impaired people in finding the objects in office.…
these problems is how they can find the objects in their indoor environment. This research was presented to assists visually impaired people in finding the objects in office.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vision: a web service for face recognition using convolutional network
This paper proposes a face recognition module built as a web service.
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A comprehensive review of vehicle detection using computer vision
A crucial step in designing intelligent transport systems (ITS) is vehicle detection.
The challenges of vehicle detection in urban roads arise because of camera position,
background variations, occlusion, multiple foreground objects as well as…
The challenges of vehicle detection in urban roads arise because of camera position,
background variations, occlusion, multiple foreground objects as well as…