1- Hybrid K-means and principal component analysis (PCA) for diabetes prediction

2- Classification of road features using convolutional neural network (CNN) and transfer learning

3- Remote sensing image classification using convolutional neural network (CNN) and transfer learning techniques

4- Classification of geographical land structure using convolution neural network and transfer learning

5- Non-overlapping Patch-Based Pre-trained CNN for Breast Cancer Classification

6- Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation

7- INNOVATIVE APPROACHES TO DUAL AXIS SOLAR TRACKING SYSTEMS

8- Durian Fruit Diseases Detection Using Convolutional Neural Networks (CNN) and Pre-trained Models

9- Optimizing Lemongrass Disease Detection: A Comparative Analysis of Neural Architecture Search (NAS) with convolutional neural network (CNN) and Transfer Learning models

10- MODELING SOLAR COLLECTORS: A REVIEW OF MODERN METHODS TO IMPROVE ENERGY CONVERSION EFFICIENCY UNDER CHANGING CLIMATIC CONDITIONS

11- Hybrid Models in Diabetes Prediction: A Review of Techniques, Performance, and Potential

12- LSB Steganography using Dual Layer for Text Crypto-Stego

13- CAD System Utilizing UNet and Hough Transform for Automated Measurement of Fetal Head Circumference and Age in 2D Ultrasound Images

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فيسبوكإغلاقبينتريسترديتديليشسواتس اببريد إلكتروني

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