[HTML][HTML] Effective digital technology enabling automatic recognition of special-type marking of expiry dates
In this study, we present a machine-learning-based approach that focuses on the automatic
retrieval of engraved expiry dates. We leverage generative adversarial networks by …
retrieval of engraved expiry dates. We leverage generative adversarial networks by …
[HTML][HTML] Power management for connected EVs using a fuzzy logic controller and artificial neural network
CY Angundjaja, Y Wang, W Jiang - Applied Sciences, 2021 - mdpi.com
In recent years, the electric vehicles (EVs) power management strategy has been developed
in order to reduce battery discharging power and fluctuation when an EV requires high and …
in order to reduce battery discharging power and fluctuation when an EV requires high and …
Sentiment analysis of Twitter posts using machine learning algorithms
Sentiment Analysis refers to the use of Natural Language Processing to determine the
attitude of a speaker, writer, or other subject with respect to some topic or the overall …
attitude of a speaker, writer, or other subject with respect to some topic or the overall …
Exploration of CNN Parameters to Measure Performance of LeNet-5 Architecture in Toraja Carving Classification
Toraja is a part of Indonesia located on the island of Sulawesi. One form of Toraja culture is
carving art made from wood, bamboo or stone. There are around 70 types of Toraja carving …
carving art made from wood, bamboo or stone. There are around 70 types of Toraja carving …
PENERAPAN WORD N-GRAM DAN METODE NAIVE BAYES CLASSIFIER DALAM ANALISIS SENTIMEN REVIEW STARBUCKS
I Syafitri, JP Pasaribu - JATI (Jurnal Mahasiswa Teknik Informatika), 2024 - ejournal.itn.ac.id
Penelitian mengenai kepuasan pelanggan Starbucks dirancang untuk menganalisis tingkat
kepuasan pelanggan berdasarkan ulasan yang diberikan. Penelitian ini dilakukan agar …
kepuasan pelanggan berdasarkan ulasan yang diberikan. Penelitian ini dilakukan agar …
Dimensionality Reduction by Machine Learning for Cost-Effective Data Analysis
Processing large amount of data with many input features is always time consuming and
expensive. In machine learning (ML), the number of input features play a crucial role in …
expensive. In machine learning (ML), the number of input features play a crucial role in …
IDENTIFIKASI INDIKATOR DESAIN HUNIAN SEMENTARA DARI PERSPEKTIF KORBAN BENCANA
Indonesia sering mengalami bencana alam seperti gempa bumi, tsunami, gunung berapi,
banjir, dan tanah longsor, yang mengakibatkan kerugian signifikan. Pada setiap kejadian …
banjir, dan tanah longsor, yang mengakibatkan kerugian signifikan. Pada setiap kejadian …