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Emitter: International Journal of Engineering Technology
ISSN 2355-391X · Politeknik Elektronika Negeri Surabaya · 353 artikel di indeks
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Artikel Jurnal
Consistency of News Titles and Contents With Multi Level Classification Using Bidirectional Encoder Representations from Transformer (BERT)
News is written in a standard format that consist of a title followed by the content. The title must be present a content of news. Sometimes found that news title did not represent the content, causing readers to be disappointed when they finish reading the whole news. This research proposes…
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Modeling and Forecasting Piezoelectric Energy Harvesting Using Deep LSTM–ANN Architectures
Piezoelectric energy harvesting (PEH) enables maintenance-free micro-power generation for autonomous sensing and ultra-low-power electronics by converting ambient mechanical excitation into electrical energy. Despite substantial progress in piezoelectric materials and device structures, forecasting…
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Particle Swarm Optimization–Tuned Random Forest for Multi-Class Mental Health Sentiment Classification from Textual Data
Mental health sentiment classification from textual data has attracted increasing attention as a computational approach to support large-scale psychological assessment; however, multi-class classification remains challenging due to noisy text, class imbalance, and semantic overlap among categories…
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Accurate Automatic Recognition of Iraqi License Plates Using YOLOv11n and Enhanced OCR Techniques
Automatic License Plate Recognition (ALPR) systems are widely utilized for traffic monitoring, law enforcement, and security applications. While previous ALPR techniques have demonstrated high accuracy on uniform license plate formats, recognizing license plates in many countries particularly in…
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An Attention based Vision Transformer for the Detection of Insect Pests in Castor Crop
Castor (Ricinus communis L.) is a significant crop valued for its non-edible oil, yet its economic importance is compromised by insect pests causing substantial yield losses of 35-40%. This paper explores the efficiency of utilization of vision transformers for efficient pest classification. We…
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Supporting Independent Prayer in Alzheimer’s Patients with an EEG-Enabled BCI System
Alzheimer's disease (AD) significantly impairs cognitive functions, making independent activities, including Muslim prayers, challenging for patients. This study introduces an innovative Brain-Computer Interface (BCI) system leveraging Electroencephalography (EEG) signals to facilitate prayer…
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Exploring YOLO-Based Deep Learning Approaches for Fish Detection in Intelligent Aquatic Monitoring Systems
The Advancements in precision aquaculture demand robust visual monitoring systems capable of accurate, real-time fish detection in complex underwater environments characterized by turbidity, occlusion, and dynamic illumination. While YOLO (You Only Look Once) architectures have demonstrated high…
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Area-Efficient Concryption for Secure Data Transmission
As computer networks become more connected, it is more important than ever to protect users' data and privacy. Especially because modern cyberattacks are so advanced, cryptography is a key way to keep user data private, real, and safe. However, since cryptographic methods do not reduce file sizes…
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An iterative LQR control method for 6-DOF UAV quadcopter under disturbance and payload variation
This paper proposes an optimal control method based on the iterative LQR aimed at enhancing the trajectory tracking accuracy of a 6 DOF quadcopter UAV under external disturbances and varying payloads. The main distinguishing feature of the proposed method is the iterative optimization mechanism of…
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The Ontology Driven E-Commerce Chatbot for Fashion Industry
Conventional chatbots in fashion e-commerce rely on keyword matching and lack the semantic structure needed to correctly handle multi-entity product queries. This leads to inaccurate, context-blind responses that frustrate users and reduce platform engagement. This paper proposes and evaluates an…
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An Exploring the Power of Feature Representations: An Empirical Study on Product Reviews for Sentiment Analysis
With the rise of e-commerce and online shopping, customer reviews have become a crucial factor in determining the quality and reputation of a product. Online shoppers rely heavily on customer reviews to make informed purchasing decisions, as they don't have the opportunity to physically examine the…
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A Detailed Set of Ideas for Designing a Quantum Computing Framework Based on Smart Contracts, Configured Using Foundry and Qiskit
The purpose of this paper is to describe a new system design for integrating quantum computing algorithms (and their results) into a blockchain network. In this selected context, we can use, create and upload smart contracts (SCs) that allow users to perform various quantum computations, by using…
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Synergistic Integration of LQR Control and PSO Optimization for Advanced Active Suspension Systems Utilizing Electro-Hydraulic Actuators and Electro-Servo Valves
This paper investigates the design and optimization of Linear Quadratic Regulator (LQR) controllers for vehicle active suspension systems, incorporating an electro-hydraulic actuator with an electro-servo valve. To enhance both vehicle comfort and road-holding stability, we employ Particle Swarm…
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Artikel Jurnal
Sitting Posture Detection and Classification Using Machine Learning Algorithms on RapidMiner
Integrating pressure sensors into cushion pads presents a viable posture monitoring and classification solution in innovative health care and ergonomic design. In this study, a cushion pad with a pressure sensor implanted that can recognize and classify different postures using machine learning…
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Utilizing Evolutionary Mating Algorithm Optimized Deep Learning to Assess Cardiovascular Diseases Risk
Cardiovascular Diseases (CVD) continue to be a primary cause of death worldwide, underscoring the critical importance of early and accurate risk prediction. However, traditional predictive models struggle with the complexity and interdependencies in medical data. This study addresses this gap by…
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Factors impacting adoption of electronic HRM in public sector organizations: Case study of Hudury mobile attendance application in Ministry of Education in the Saudi Arabia
This study investigates the factors influencing the adoption of the Hudury electronic attendance system among employees of the Ministry of Education (MOE) in Saudi Arabia. Using the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research examines the impact of…
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Artikel Jurnal
Improving 3D Human Pose Orientation Recognition Through Weight-Voxel Features And 3D CNNs
Preprocessing is a widely used process in deep learning applications, and it has been applied in both 2D and 3D computer vision applications. In this research, we propose a preprocessing technique involving weighting to enhance classification performance, incorporated with a 3D CNN architecture…
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Reliability improvement of distribution networks: A case study of Duhok distribution network
Power system is considered one of the most complicated infrastructures. The main components of the system are generation, transmission and distribution. The main function of the system is to supply consumers with electricity as economically and reliably as possible. In order to provide…
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Optimization of Gray Level Co-occurrence Matrix (GLCM) Texture Feature Parameters in Determining Rice Seed Quality
Rice seed quality assessment is a critical measure in promoting agricultural productivity, as high-quality seeds directly influence crop yield and resilience. One of method for evaluating seed quality is texture analysis, which leverages the Gray Level Co-occurrence Matrix (GLCM) to extract…
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Artikel Jurnal
The Next Generation Wireless Network Deployment Using Machine Learning Based Multi-Objective Genetic Algorithm
6G networks provides ubiquitous connectivity, reduced delay and high-speed gigabit connection. The Introduction of AI to the planning process of 5G beyond networks is crucial to ensure the efficient deployment of cells and the minimization of SINR (signal to interference plus noise ratio). The…