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Menampilkan 1–10 dari 23 artikel
Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features
Vineeta Khemchandani
; Alok Singh Chauhan
; Shahnaz Fatima
; Jalauk Singh Maurya
; Abhay Singh Rathaur
; Kumar Sharma, Narendra
; Daya Shankar Srivastava
; Vugar Abdullayev
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Cognitive workload plays a vital role in tasks that demand dynamic decision-making, especially under high-risk and time-sensitive conditions. An excessive workload can lead to unexpected and disproportionate risks, whereas insufficient workload may cause disengagement, undermining task performance. This underscores the importance of maintaining an optimal level of mental focus in high-pressure situations to ensure successful task execution. This study leverages deep learning methods alongside fu...
Google Scholar
DOI
PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Vol 13
, No 2
(2025)
The rapid advancement of data science has made data processing a critical requirement across various fields, including education. Educational institutions are increasingly required to leverage available resources and information systems to enhance competitiveness and support strategic decision-making. Student achievement is generally assessed through both theoretical and practical subjects; however, determining achievement groups (very good, good, sufficient) often lacks efficiency, limiting ear...
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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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1 Sitasi
Usability Evaluation of E-Learning Website User Experience Using the TUXEL Method: A Technique for User Experience Evaluation in Learning Management System
Journal of Multimedia Trend and Technology
Vol 4
, No 1
(2025)
The purpose of this study was to determine the usability and User Experience (UX) on the E-Learning.net website with three aspects, namely general usability, pedagogical usability and user experience. This study uses the TUXEL method, a method used to evaluate usability and user experience in e-learning using three questionnaires, namely the problem reporting table, general LMS evaluation checklist and user experience evaluation. Data collection through validated questionnaires was then distribu...
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1 Sitasi
Enhancing Security in Wireless Mesh Networks: A Deep Learning Approach to Black Hole Attack Detection
Mansi Bhonsle
; Gunji Sreenivasulu
; Kilaru Chaitanya
; Dhumpati Raghu
; Gunti Surendra
; Konduru Kranthi Kumar
; Mandalapu Srinivasa Rao
; Kandukuri Prabhakar
; Vamsi Krishna Vuppu
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 1
(2025)
Wireless Mesh Networks (WMNs) are susceptible to various security threats, including black hole attacks, where malicious nodes attract and drop packets, disrupting network communication. Traditional security mechanisms are often inadequate in detecting and mitigating these attacks due to their dynamic and evolving nature. In this paper, we propose a novel deep learning-based defense mechanism against black hole attacks in WMNs. It utilizes Recurrent Neural Networks (RNNs) and Long Short-Term Mem...
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3 Sitasi
SISTEM INFORMASI PENGELOLAAN STOK BARANG DENGAN MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Vol 12
, No 2
(2024)
Estimating sales quantity is an activity to estimate the amount of product sales by producers or distributors in a certain period of time and marketing area. Prediction of sales quantity is part of the management function as one of the contributors to the success of a company. Prediction of the quantity of product sales in the future is intended to control the number of existing product stocks, so that shortages or excess stock of products can be minimized. CV Kabul Jaya in managing stock of goo...
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The Utilization of Fermented Agricultural By-Products as Fibrous Feed for Beef Cattle: A Review
Bantara Journal of Animal Science
Vol 7
, No 2
(2024)
Fermentation of agricultural by-products represents a strategic and sustainable approach to providing fibrous feed for beef cattle, particularly in regions facing high feed costs and the low nutritional value of unprocessed residues. Through microbial activity, fermentation alters the chemical composition of raw materials by degrading crude fiber components such as cellulose, hemicellulose, and lignin, thereby enhancing nutrient availability, crude protein content, digestibility, and palatabilit...
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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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3 Sitasi
A Comprehensive Study on Applications of Blockchain in Wireless Sensor Networks for Security Purposes
Nguyen, Mui Duc
; Nguyen, Minh Tuan
; Vu, Thang Chien
; Ta, Tien Minh
; Tran, Quang Anh
; Nguyen, Dung The
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
The paper evaluates potential applications of blockchain technology in enhancing the security and reliability of Wireless Sensor Networks (WSNs). The existing vulnerabilities in WSNs, such as concerns regarding data integrity and security, demand innovative security solutions. Through systematic analysis, this paper provides valuable insights to expand understanding of WSNs security, explaining the feasibility and benefits of deploying blockchain technology. Possible attacks in the networks are...
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9 Sitasi