Browse Items (10265 total)
Sort by:
The Memory Efficiency in a Receptionist Robot's Face Recognition System Using LBPHAlgorithm
This research aims to develop a memory-efficient face recognition system for a receptionist robot using the Local Binary Patterns Histogram (LBPH) algorithm. Given the computational limitations of the Raspberry Pi, the system utilizes optimization …
Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification
Accurately identifying facial skin types is essential for recommending the right skincare treatments and products. Misidentifying skin types can lead to negative consequences, such as irritation or worsening of skin …
Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation
This research seeks to construct an automatic translation between Indonesian and Sundanese languages based on the Neural Machine Translation (NMT) method. The model used in this study is the Long Short-Term Memory (LSTM) type, which carries out an…
Utilization of HouseholdOrganic Waste intoBiogas and Integrated with IoT
The increase in population impacts several environmental sectors, particularly the use of natural gas energy for household needs, such as LPG (Liquefied Petroleum Gas). This has resulted in the depletion of natural gas reserves and a…
IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning
The rapid advancement of Internet of Things (IoT) technology has created potential for progress in various aspects of life. However, the increasing number of IoT devices also raises the risk of cyberattacks, particularly IoT botnets…
Performance and EfficiencyComparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization
This study presents a comprehensive comparison of U-Net and Ghost U-Net for road crack segmentation, emphasizing their performance and memory efficiency across various data representation formats, including FP32, FP16, and INT8 quantization. A…
The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection
The pervasive issue of fake news spreading rapidly on online platforms.causing a concerning dissemination of misinformation. The influence of fake news has become a pressing social problem, shaping public opinionin important eventssuch as elections.…
Manhattan Distance-based K-Medoids Clustering Improvement forDiagnosing Diabetic Disease
Diabetes is a metabolic disorder characterized by blood glucose levels above normal limits.Diabetes occurs when the body is unable to produce sufficient insulin to regulate blood sugar levels. As a result, blood sugar management becomes impaired and…
Cross-Spectral Cross-Distance Face Recognition via CNN with Image Augmentation Techniques
Facial recognition is a critical biometric identification method in modern security systems, yet it faces significant challenges under varying lighting conditions, particularly when dealing with near-infrared (NIR) images, which exhibit …
Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network
Rice is a crucial commodity, especially in countries that rely on rice as a staple food. Fluctuations in rice prices can impact inflation, purchasing power, and economic stability. Therefore, an effective method for forecasting rice prices is…