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Journal of Intelligent Systems
Scopus
ISSN 0334-1860 · De Gruyter · 1.283 artikel di indeks
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Artikel Jurnal
Discrimination of Alzheimer’s diseases based on combination of generalized Hadamard difference and deep learning features
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that leads to a decline in memory and cognitive functions. An early and accurate diagnosis is critical for effective management and treatment also tend to lack sufficient accuracy. Accurate and early discrimination of Alzheimer’s…
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Artikel Jurnal
Optimized YOLOv7 for traffic sign recognition
Traffic sign recognition plays a critical role in the development of autonomous driving systems and intelligent transportation networks. However, detecting small traffic signs in real-world scenarios, particularly those captured from vehicle-mounted cameras, remains a significant challenge due to…
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Artikel Jurnal
Significance of essential vital signs for analysis of risk level of critical care patients – a review
Early identification of risks improves patient outcomes and overall health. The early identification of high-risk status helps in early medical attention and prevents complications. Understanding a patient’s risk level enables better management of chronic conditions. Identifying high-risk patients…
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An adversarial attack method based on pixel location characteristics
Deep learning techniques have been widely used in various fields. However, they face significant security challenges due to the existence of adversarial examples. Traditional black-box adversarial attack methods mainly rely on swarm intelligence optimization algorithms to identify optimal…
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Artikel Jurnal
A computerized text analysis on the evolution of China’s industrial internet policies concerning SMEs
This paper proposes a computerized text analysis framework to examine the evolution of China’s industrial internet policies concerning SMEs. Analyzing a corpus of 310 policy documents concerning SMEs in industrial internet domain, we first investigated their external structure. Thematic sequence…
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Artikel Jurnal
Reinforcement learning for mobile robot mapless navigation: a review of recent advances
Mobile robot navigation remains a critical challenge in robotics, with applications spanning autonomous vehicles, search and rescue, and other dynamic environments. In recent years, reinforcement learning (RL) has become a powerful approach for solving complex tasks such as robotic manipulation…
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Artikel Jurnal
Automated detection and classification of road infrastructure for intelligent urban planning
Asphalt roads play a vital role in land transportation systems, significantly contributing to the growth and development of economies and societies. However, over time, the quality of these roads deteriorates due to aging and the cumulative effects of wear and tear, leading to various pavement and…
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Artikel Jurnal
A novel hybrid BGRU-CNN approach for multilabel toxicity detection in online environments
This study aims to develop an automatic system for detecting toxic comments in online environments, particularly on social networking platforms. The focus is on efficiently identifying and categorizing toxicity in user-generated comments to address the growing issue of harmful online content. A…
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Artikel Jurnal
Child delivery mode prediction: exploring machine learning algorithms and dataset organizations
Accurate classification of child delivery mode is crucial for improving maternal and neonatal health. In developing countries like Ethiopia, clinical assessments alone often result in misguided medical interventions. Even though machine learning in healthcare has brought promises, the various…
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Artikel Jurnal
Performance of test cases for machine learning classifier: coverage perspective
A rapid rise in machine learning-based applications has made it one of the most popular areas in the field of artificial intelligence (AI). The most commonly used libraries to implement the algorithms used in these applications are Scikit learn and Weka. It is challenging to test these machines…
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Artikel Jurnal
Explainable YOLOv8 model for solitary pulmonary nodules classification using positron emission tomography and computed tomography scans
This study addresses the diagnostic challenges associated with Non-Small Cell Lung Cancer (NSCLC), the most prevalent form of lung cancer often diagnosed at advanced stages. It aims to develop a computer-aided classification model exclusively utilizing medical images from Positron Emission…
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Artikel Jurnal
Deep residual network for three-dimensional (3-D) objects classification using phase-only digital holographic information
The binary classification of three-dimensional (3-D) objects for phase-only digital holographic information is performed using the various deep learning network models such as ResNet50, ResNet101, ResNet152, ResNet18, ResNet34, EfficientNetB0, DenseNet121, DenseNet169, Neural Architectural Search…
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Artikel Jurnal
Assessing the impact of crucial feature sets in cross-project for defect prediction employing a hybrid feature selection method
Cross-project defect prediction is an important method of identifying defects in a project. We extract knowledge from the source project and apply it to predict labels for the target project in cross-project defect prediction. However, insignificant and irrelevant features can have an impact on…
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Artikel Jurnal
Using artificial intelligence and IoT technology to optimize supply chain and logistics management
The need for efficient logistics management and supply chain optimization has grown with the rapid expansion of global trade and e-commerce. Traditional logistics methods often face inefficiencies, high costs, and slow response times, making it necessary to explore innovative solutions. This study…
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Artikel Jurnal
Machine learning based classification of slip-stick phenomena in mobile robot using IMU measurements: a comparative study of SVM, Random Forest and KNN classifiers
Four-wheel steering mobile robots exhibit complex non-linear dynamics due to the following reasons such as steering front and rear wheel simultaneously, load transfer during turning and tyre-road friction. Traditional stability indicators mostly depend on low-frequency vehicle states or…
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Artikel Jurnal
Predictive analytics in human resource management: a machine learning approach to employee satisfaction and attrition forecasting
Employee retention is still among the biggest issues in contemporary human resource management with the average cost of staff turnover ranging from 20 to 200 % of the yearly salary depending on the job complexity. This article provides a comprehensive machine learning framework for the…
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Artikel Jurnal
A hybrid CNN–GNN model with residual learning and composite optimization for drug–drug interaction prediction
Precise prediction of drug–drug interactions (DDIs) is crucial to maximize therapeutic efficiency and ensure patient safety, particularly in polypharmacy, where the use of multiple drugs is common. This paper proposes a new hybrid deep learning (DL) model for multiclass DDI classification…
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Artikel Jurnal
Ciphertext-only classification of encryption algorithms using deep learning
This study presents a machine learning approach for identifying encryption algorithms based solely on ciphertext analysis. The problem is formulated as a supervised classification task, where features are learned directly from ciphertext samples generated by four widely used symmetric encryption…
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Artikel Jurnal
An intelligent decision-making framework for evaluating the impact of blood tests and thyroid status on alopecia severity in women
Women can suffer from alopecia due to multiple criteria, including thyroid disorders, hormonal imbalances, anemia, medications, genetics, vaccines, and other health conditions. Therefore, this study applies multi-criteria decision-making (MCDM) techniques to assess the various blood deficiencies…
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Artikel Jurnal
Real-time photovoltaic panel emulator under variable environmental conditions using dSPACE and programmable voltage source
Accurate testing of photovoltaic (PV)-based systems under varying environmental conditions is often limited by weather dependency, safety constraints, and poor repeatability of real PV modules. To address these limitations, this paper proposes a real-time photovoltaic panel emulator based on a…
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