[PDF] Top 20 Research on recognition for cotton spider mites’ damage level based on deep learning

Research on recognition for cotton spider mites’ damage level based on deep learning

... in cotton leaf characteristics are closely related to the cotton spider mites’ damage ...of cotton leaves is an effective method to identify the ...A recognition model is ... See full document

6

Research on Recognition Technology of Aluminum Profile Surface Defects Based on Deep Learning

... Aluminum alloys have drawn more and more attention in aerospace engineering, automotive, and electronics industry, due to their low density, high specific strength, good corrosion resistance, and good recycling ability ... See full document

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Recognition of Handwritten Characters based on Deep Learning with Tensorflow

... and Deep Learning has brought a massive twist in the field of Machine Leaning, in recent ...in Deep Learning is mainly due to the new state-of-art innovations in the field of Computer Vision ... See full document

6

Using CNN and HOG Classifier to Improve Facial Expression Recognition

... that deep learning can solve complex problems by using a number of multilayer architectures thus making the problem solving to be shorter and accuracy of result is ...in deep learning are ... See full document

5

Research on Face Detection based on Deep Learning

... face recognition and analysis research ...the deep learning [2] with automatic learning and continuous learning ability, it has been successfully applied to image ... See full document

7

A Proposed Framework: Face Recognition With Deep Learning

... face recognition accuracy and performance by using separate networks to capture information from several regions and scaling to a structure of powerful face ...The research on face recognition via ... See full document

6

Deep Multi level Feature Learning on Point Sets for 3D Object Recognition

... object recognition has important research significance and has always been a research topic in the computer vision and computer graphics ...of deep learning based 3D object ... See full document

7

Syllable Based Deep Learning for Multi-Dialect Speech Recognition

... Speech Recognition software that converts speech-to-text that supports regional ...with recognition accuracy due to lack of training data and differing ...Speech Recognition procedure to tackle this ... See full document

6

Video Face Recognition using Deep Learning based Representation

... initiated research in video face identification. Face recognition in video is extremely significant in the area of law enforcement purposes, the recent advances have reported high accuracies at equal error ... See full document

6

Automatic Fuzzy License Plate Recognition Based on Deep Learning

... plate recognition system is only suitable for the license plate which is easy to be ...plate recognition, their research is based on some simple ...character recognition method ... See full document

8

Detail Survey On Different Devnagari Character Recognition Techniques

... Machine Learning, Deep Learning which have attracted people towards computer vision and human-computer ...Character Recognition. There is great scope of research available for ... See full document

5

Hand Gesture Recognition Based on Faster-RCNN Deep Learning

... depth learning algorithm is proposed to apply for gesture recognition in this ...the recognition model with learning and training the selected characters after the hand segmentation carried ... See full document

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Artificial Intelligence Technique for Speech Recognition Based on Neural Networks

... speech recognition is to achieve the robustness of the ...speech recognition under any conditions, not yet created ...of recognition of noisy and continuous ... See full document

6

Biodiversity conservation monitoring system image detection using TensorFlow

... characteristic, Deep learning is a multilayer neural network, a kind of machine learning based on pattern recognition from input data; it has a property of unsupervised features ... See full document

5

An Algorithm for Power System Fault Analysis ...

... Training deep neural networks (many hidden layers) achieves better performance than training shallow ...training deep networks are the availability of large amounts of data and powerful computers (usually ... See full document

8

<p>An automatic diagnostic system based on deep learning, to diagnose hyperlipidemia</p>

... effective deep learning model for timely and accurate diagnosis of each human physiological parameter ’ s ...expanding learning algorithm is to diagnose hyperlipidemia by using human hematology ... See full document

9

Phonocardiographic sensing using deep learning for abnormal heartbeat detection

... Another effective solution is echocardiograms that visualise the heart beating and blood pumping. However, this procedure is expensive with an average cost of $1500 per procedure [7]. The rise of phonocardiography (PCG), ... See full document

8

Study on deep learning based identification of hydrometeors observed by dual polarization Doppler weather radars

... supervised learning algorithm, relies on a large number of labeled samples to train, and the back propagation (BP) algorithm is adopted in the training ...the learning process can be summarized as the ... See full document

9

Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment (FRUE)

... CNN based face recognition architecture, named as Deep hidden IDentity (DeepID), consists of network fusion of ...face recognition approach, During preprocessing stage the face images are ... See full document

8

Robust unspoken Speech (Electroencephalogram) recognition algorithm using Long Short Term Memory –Deep Neural Networks approach

... One of the major limitations of the DLN is its tremendous amount of computational time requirement during unsupervised pretraining and supervised fine-tuning procedures. In our experiment setup, the DLN for EEG- ... See full document

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