Indoor Localization Using Accelerometer and Gyroscope Smartphone Based

Sari, Anggreini Intan Permata; Rakhman, Arkham Zahri

doi:10.20884/1.jutif.2021.2.2.75

Cited by 1 publication

(1 citation statement)

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“…The eye as one of the main human senses plays a crucial role in carrying out daily activities and maintaining the quality of life is a very important basic concept [1]. The eye's primary function is as a light detection mechanism, allowing people to discern between light and darkness and forming visual perception, which allows us to view our surroundings.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Eye Disease Classification by Comparison of the Random Forest Method and K-Nearest Neighbor Method

Meidelfi,

Hendrick,

Sukma

et al. 2023

Int. J. of Adv. Sci. Comp. and Eng.

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Eye disease is a serious issue all over the world, and image-based classification systems play an important role in the early detection and management of eye disease. This research compares the performance between Random Forest (RF) and K-Nearest Neighbor (KNN) classification models in identifying eye disorders using image datasets divided into four classes: "normal," "glaucoma," "cataract," and "diabetic retinopathy."Â Â The dataset is converted into a feature vector and then divided into training data and test data subsets. The analysis results show that the RF model achieved an accuracy level of 80%, whereas the KNN model achieved 70%. Based on these findings, it is possible to conclude that the RF model outperforms the other models in categorizing the types of eye illnesses in the dataset. A Python-based website was also built utilizing the Flask framework to build an interactive and real-time eye illness diagnosis system. Users can upload photos of their retinas to this website and quickly receive eye disease detection results. The adoption of this technology has a tremendous impact, making eye disease detection solutions more accessible. Furthermore, this solution plays an important role in the early detection and effective management of eye health cases.

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Section: Introductionmentioning

confidence: 99%