The positions of free electron laser beams on screens are precisely determined by a sequence of machine learning models. Transfer training is conducted in a selfconstructed convolutional neural network based on VGG16 model. Output of intermediate layers are passed as features to a support vector regression model. With this sequence, 85.8% correct prediction is achieved on test data.

To solve the problems of high labor intensity, low efficiency, and frequent errors in manual identification cone yarn types, this study five kinds were taken as research objects, an method for based on improved Faster R-CNN model was proposed. In total, 2750 images collected samples real textile industry environments, then data enhancement performed after marking targets. The ResNet50 with stro...

Transfer Learning adalah prinsip yang digunakan pada neural network dengan tujuan membantu pelatihan data sedikit, mempercepat waktu dan meningkatkan performa pelatihan. Salah satu metode transfer learning adlaah fine tuning. Pada tersebut, melakukan pembekuan sejumlah layer model dilatih sebelumnya lapisan lainnya feature extractor. penelitian ini akan dilihat salah VGG6 ResNet50, yaitu tuning...

We employ Convolutional Neural Networks with the VGG16 and VGG19 architecture to classify photographs that span four decades of professional photographic work by Mário Cabrita Gil. For each photograph, the 4096 dimension feature vector is reduced to two-dimensions by employing distributed Stochast Neighbor Embedding (t-SNE). Finally, the photographs are arranged according to their similarity va...

The COVID-19 pandemic has created a major challenge for countries all over the world and placed tremendous pressure on their public health care services. An early diagnosis of may reduce impact coronavirus. To achieve this objective, modern computation methods, such as deep learning, be applied. In study, computational model involving learning biogeography-based optimization (BBO) detection man...

Tomato is one of the most important vegetables in world. Presence diseases and pests growing area significantly affect choice variety tomato. Early-stage diagnosis plays an role determining whether tomato subject to effective economical chemical, mechanical biological controls, internal external quarantine. In this study, deep learning was used diagnose some tomatoes. For purpose, a novel CNN-b...

Detection of malignant skin lesions is important for early and accurate diagnosis cancer. In this work, a hybrid method lesion detection from dermoscopy images proposed. The combines the feature extraction process convolutional neural networks (CNN) with an ensemble learner called stacked cross-validation (CV). features extracted by three different CNN architectures, namely, ResNet50, Xception,...

Around 27 languages and more than 420 million people worldwide use Arabic letters. That makes the language one of most used languages. However, has a challenge, namely difference in letters based on their position. handwriting recognition is important for various applications, such as education communication. One example during pandemic when turned digital, making recognizing students' difficul...

This paper presents a novel X-ray Computed Tomography (CT) image analysis method to characterize the Fracture Process Zone (FPZ) in scaled centre-notched quasi-isotropic carbon/epoxy laminates. A total of 61 CT images small specimen were used fine-tune pre-trained Convolutional Neural Network (CNN) (i.e., VGG16) classify fibre orientations. The proposed CNN model achieves 100% accuracy when tes...

The classification of benign and malignant parotid tumors is very crucial for the selection surgical methods their prognoses. wide application deep learning technology in field medical imaging also provides new ideas computer-aided diagnosis gland tumors. In addition, because pathological types are complicated computed tomography (CT) images patients similar, some clinicians may misjudge due to...