Abstract This research focuses on improving the accuracy of the fashion product sales classification model at Sabhira Official Store by applying the R...
This paper, titled "IMPROVING SALES CLASSIFICATION OF FASHION PRODUCTS AT SABHIRA OFFICIAL WITH RANDOM FORES," presents a focused study on enhancing s...
Quantum computing is used to improve NMR spectroscopy sensitivity and resolution. Many scientific fields employ NMR to analyze molecular st...
This paper presents a compelling vision for leveraging quantum computing to address persistent limitations in classical NMR data processing, specifica...
The development of information technology changes the way customers view shopping. Currently, customers are more likely to make online shop...
One of the biggest obstacles to creating precise machine learning models is choosing representative and pertinent characteristics from big, unbalanced...
The paper "QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS" addresses a critical challenge...
The current parking infrastructure predominantly relies on traditional or semi-automatic mechanisms, leading to significant inefficiencies during peak...
This paper addresses the common problem of inefficiencies in traditional parking systems, particularly during peak hours, by proposing a fully automat...
Public transportation has become a staple in a lot of countries, including Indonesia. As the largest city in Indonesia, is trying to accommodate the d...
This paper addresses a highly relevant and practical problem: the need to improve the user experience of the Jaklingko public transportation applicati...
Natural language processing (NLP) in Indonesian faces challenges due to limited linguistic resources, particularly in developing optimal word embeddin...
This study tackles a pertinent challenge in Indonesian Natural Language Processing (NLP): the optimization of word embedding models, specifically Word...
This study presents a comparative evaluation of transformer-based models and traditional machine learning approaches for automated resume classificati...
House price predictions are an important thing in the property industry and are useful for buyers in making decisions. Principal Component Analysis (P...
This research explores the sentiment of IT professionals toward the growing trend of No Code and Low Code technologies by comparing the performance of...
This research presents a timely and relevant exploration into the sentiment of IT professionals regarding No Code and Low Code (NCLC) technologies, a...
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