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Menampilkan 1–7 dari 7 artikel
Integrating Quantum, Deep, and Classic Features with Attention-Guided AdaBoost for Medical Risk Prediction
Kusuma, Muh Galuh Surya Putra
; Setiadi, De Rosal Ignatius Moses
; Herowati, Wise
; Sutojo, T.
; Adi, Prajanto Wahyu
; Dutta, Pushan Kumar
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, dee...
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Indoor Positioning using Smartphones: An Improved Time-of-Arrival Technique
Vu, Thang C.
; Nguyen, Trung H.
; Nguyen, Mui D.
; Nguyen, Dung T.
; Nguyen, Tao V.
; Dinh, Long Q.
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
Indoor positioning technology based on smartphones plays an important role in the current technological development context. Especially in applications such as warehouses, supermarkets, hospitals, or buildings. While the global positioning system (GNSS) is popular and effective outdoors, it has several limitations when operating in enclosed spaces, such as indoors, due to the complexity of these environments. Smartphones have many built-in sensors (such as light sensors, sound sensors, gyroscope...
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A Novel Clustering Solution Based on Energy Threshold for Energy Efficiency Purposes in Wireless Sensor Networks
Vu, Thang C.
; Do, Binh D.
; Nguyen, Mui D.
; Nguyen, Dung T.
; Nguyen, Tao V.
; Dinh, Long Q.
; Nguyen, Hung T.
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
In many wireless sensor network (WSN) applications, nodes are randomly deployed and self-organize into a wireless network to perform tasks. In practice, recharging the batteries of network nodes after deployment is often difficult. Network nodes often operate autonomously, so the main focus is on increasing the node lifetime. Data redundancy is another limitation that makes nodes inefficient. In most cases, densely deployed nodes in a monitoring area will have redundant data from neighboring nod...
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Perancangan WebAR sebagai media hybrid-education mengenai tujuan ke-13 dari SDGS
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 1
(2025)
The compulsive impact of human-caused climate change is now considered more of an environmental issue than a national security threat. The latest 2030 Agenda, the Sustainable Development Goals (SDGs), has a transformational vision to achieve universal literacy worldwide, including Indonesia. Addressing climate change is Goal 13 of 17 SDGs. This study uses a qualitative research method with a linear research strategy to develop hybrid-education media in the form of printed pamphlet media with Aug...
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Comprehensive Review of Security Problems in Mobile Robotic Assistant Systems: Issues, Solutions, and Challenges
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
Nowadays, robots in the modern world are playing an important and increasingly popular role. MRA (Mobile Robotic Assistant) is a type of mobile robot designed to support humans in many different fields, helping to improve efficiency and safety in daily activities, work, or medical treatment. The number of MRAs is increasing and diverse in function, in addition to the ability to collect and process data, MRAs also have the ability to physically interact with users. Therefore, security is one of t...
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Analisis Sentimen Pada Ulasan Produk Dengan Metode Natural Language Processing (NLP) : (Studi Kasus Zalika Store 88 Shopee)
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
n today's digital era, customer reviews play a crucial role in purchasing decisions, but the large volume of reviews makes manual analysis difficult. Thus, a fast and accurate sentiment analysis method using Natural Language Processing (NLP) is needed. This research aims to analyze product reviews for the ZALIKA STORE 88 on Shopee using NLP. It involves preprocessing reviews, applying NLP techniques like tokenization, stemming, and lexical analysis, and automatically classifying sentiments. The...
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Faktor-Faktor Terjadinya Stunting pada Balita: Scoping Review
Irma S. Yuniar
; Fita C. Laiga
; Fita C. Laiga
; Nurfadilah Kemhay
; Fajrin T. Astuti4
; Nurmeylan Jacobus
; Risni S. Mauri
; Anggun Sasmita
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 2
(2024)
Stunting is a growth disorder due to malnutrition that occurs in children under five years old. Stunting in children under five is a consequence of several factors that are often associated with poverty, including nutrition, health, knowledge and social and cultural factors. The aim of this research is to look at the factors that cause stunting in toddlers. The research method uses Scoping Review to map literature and identify problems or shadows in the research area to be studied. The results o...
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