6 hasil untuk "Azhar Imran"
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Artikel Jurnal Teks lengkap
AI-driven educational transformation in ICT: Improving adaptability, sentiment, and academic performance with advanced machine learning
This study significantly contributes to the sphere of educational technology by deploying state-of-the-art machine learning and deep learning strategies for meaningful changes in education. The hybrid stacking approach did an excellent implementation using Decision Trees, Random Forest, and XGBoost…
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Artikel Jurnal Teks lengkap
Deep-Fed: A comprehensive solution for precise bone fracture identification in athletes
Bone fracture diagnosis is a critical aspect of sports medicine, where accurate and timely detection enables effective treatment and rapid recovery. This study proposes Deep-Fed, a federated deep learning framework for fracture diagnosis in athletes. Deep-Fed integrates convolutional neural…
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Artikel Jurnal Teks lengkap
Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments
Accurate segmentation and classification of lung nodules in computed tomography (CT) scans remains a critical challenge in early lung cancer detection within distributed healthcare Internet of Things (IoT) environments. This paper presents a novel two-stage framework called Adaptive…
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Artikel Jurnal Teks lengkap
A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO)…
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Artikel Jurnal Teks lengkap
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major contributor to global vision impairment, is becoming increasingly pronounced. Notably, the detection of vision-threatening diabetic retinopathy (VTDR) has been significantly fortified through automated…
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Artikel Jurnal Teks lengkap
Optimizing video data security: A hybrid MAES-ECC encryption technique for efficient internet transmission
Data security is becoming important as the amount of video data transmitted over the internet grows rapidly. This research article aims to maximize the security of transmitted video data by proposing a novel hybrid technique for video encryption and decryption. Elliptic Curve Cryptography (ECC) and…