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Detecting Diseases on Clove Leaves Using GLCM and Clustering
K-Means
The detection of disease in clove plant leaves is generally carried out by diagnosing the symptoms that appear on clove plants.
This diagnosis is conducted by clove farmers only by relying on their experience or even having to seek information from…
This diagnosis is conducted by clove farmers only by relying on their experience or even having to seek information from…
Bidirectional Long Short-Term Memory and Word Embedding Feature for
Improvement Classification of Cancer Clinical Trial Document
In recent years, the application of deep learning methods has become increasingly popular, especially for big data, because
big data has a very large data size and needs to be predicted accurately. One of the big data is the document text data of…
big data has a very large data size and needs to be predicted accurately. One of the big data is the document text data of…
Classification of Low Birth Weight Baby Under Anthropometry uses Algorithms K-Means Clustering on Maternity Hospital
LBW infants with birth weight less than 2500 grams regardless gestation period. Low birth weight is the weight of a baby who weighed within 1 hour after birth. World Health Organization (WHO) since 1961 states that all newborns are underweight or…
Chatbot-based Information Service using RASA Open-Source Framework
in Prambanan Temple Tourism Object
The pandemic has caused a shift in the tourism industry's drive towards comprehensive digitization. This approach is used to
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the…
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the…
A Study on Wearable Tech Interfaces and Perception: Cognitive AI-Enabled Device
In our paper, we explore the possibility of utilizing state-of-the-art hardware architecture to develop an interactive Artificial Intelligence(AI) based virtual agent in an Internet of Things (IoT) enabled smart glass. In contrast to the traditional…
A Centrality Maximization Approach for Link Recommendation
In social networks, the goal of link recommendation is to recommend links for nodes and add them to the network, thereby satisfying the potential link interests of the nodes. The centrality of nodes in social networks typically quantifies the…
User Rating Prediction Method Based on Fine-tuning of Large Language Models
Online reviews in social networks reflect users' preferences for specific attributes of products. Accurate predictions of user ratings based on these reviews can help businesses better understand genuine user feedback. The purpose of this study is to…
The Evolution of Software Engineering: From Prehistoric Beginnings to the Age of Artificial Intelligence
This article presents a thorough overview of the historical background of software engineering, tracing its roots from antiquity to the contemporary time dominated by artificial intelligence (AI). Beginning with the basic programming languages of the…
Performance Analysis of Hybrid Machine Learning Methods on
Imbalanced Data (Rainfall Classification)
This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and
Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic…
Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic…
An Android-Based Smart RSU Framework for Enhanced Urban Traffic Management
This paper addresses critical challenges in the deployment and effectiveness of traditional Roadside Units (RSUs) in traffic monitoring systems and proposes a novel, cost-effective approach using Android-based smart RSUs. Leveraging mobile phone…