Convolutional Neural Network(CNN)
3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation prediction
... 3D convolutional neural network (CNN) to develop a prediction model which can estimate the bioaccumulation propensity of a compound characterised by the bioconcentration factor (BCF) for a ...
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Disease Detection in the Leaves of Multiple Plants
... deep Convolutional Neural Network (CNN) technique is used for the detection and classification of different types of diseases effected to the plant ...The CNN network is trained ...
5
Soft Computing Techniques Based Automatic Licence Plate Recognition Systems for Indian Vehicles
... (RF), Neural Network(NN), Support Vector Machine (SVM), and Convolutional Neural Network (CNN) are suggested for Indian licence plate recognition ...and CNN based ALPR ...
5
EEG-Based Emotion Classification By Using Convolutional Neural Network (CNN)
... technique, Convolutional Neural Network (CNN) is introduced as a classification method in this project due to it can generalise well and able to extract important feature automatically through ...
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Learning to Answer Questions from Wikipedia Infoboxes
... a convolutional neural network model on this dataset that uses the infobox attribute as a bridge in matching the question to the ...recent CNN and RNN-based ...
6
Design And Develop Object Detection System For Blind People Based On CNN Image Recognition
... by Convolutional neural network (CNN) in object detection which having significant accuracy by utilizing a deep CNN due to the poor performance of the previous ...
24
Blind Navigation System using Artificial Intelligence
... artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...deep convolutional neural network can achieve reasonable performance on hard visual ...
5
Performance Evaluation Of Convolutional Neural Network (CNN) For EEG Emotion Classification
... The CNN algorithm is trained with both EEG data collected in the lab as well as an open source dataset (SEED). The categorization of emotion for both EEG data collected in the lab and SEED are based on dimensional ...
24
Human Face Recognition in Video using Convolutional Neural Network (CNN)
... A detection of human faces in VFR task is achieved. The tracking of faces in each frame of a video is accomplished using Viola-jones algorithm, hence faces and faces in each frame are distinguished properly. The Brisk ...
7
Human Face Recognition in Video using Convolutional Neural Network (CNN)
... A detection of human faces in VFR task is achieved. The tracking of faces in each frame of a video is accomplished using Viola-jones algorithm, hence faces and faces in each frame are distinguished properly. The Brisk ...
7
A Multi task Approach for Named Entity Recognition in Social Media Data
... multi-task neural net- work that aims at generalizing the underneath rules of emerging NEs in user-generated ...a Convolutional Neural Network ...the network is trained, we use it as a ...
6
Original Article Infrared thermal imaging analysis of the human abdomen based on convolution neural network optimized by a genetic algorithm
... a convolutional neural network to construct a convolution neural network model (GA-CNN), which provides the basis of a diagnostic tool for doctors, also saving valuable time for ...
10
Deep Learning Based Visual Tracking: A Review
... different network models, including auto-encoder (SAE), convolutional neural network (CNN), recurrent neural networks (RNN) deep reinforcement learning (DRL) and the fusion of ...
5
Recognition of Handwritten Characters based on Deep Learning with Tensorflow
... the Convolutional Neural Network (CNN) model is very less as compared with any other ...models. Convolutional Neural Network (CNN) is not a lot different from other ...
6
Recognition of Handwritten Characters based on Deep Learning with Tensorflow
... the Convolutional Neural Network (CNN) model is very less as compared with any other ...models. Convolutional Neural Network (CNN) is not a lot different from other ...
6
Transcription Factor Bound Regions Prediction: Word2Vec Technique with Convolutional Neural Network
... apply Convolutional Neural Network (CNN) in one dimension for the sequential information and to fulfill the task of binary classification by extracting more features from the ...
13
Recent Trends and Insight Towards Automated Identification of Plant Species
... Present studies still mostly function on the small and non-representative datasets used in the past. Only a few studies train CNN classifiers on large plant image datasets, demonstrating their applicability in ...
7
Phishdect & Mitigator: SDN based Phishing Attack Detection
... ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Phishing is a social engineering attack that aims at exploiting the ...
7
Phishdect & Mitigator: SDN based Phishing Attack Detection
... ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Phishing is a social engineering attack that aims at exploiting the ...
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Multimodal Decision level Group Sentiment Prediction of Students in Classrooms
... machines. Neural networks stand out of the lot as it has been modeled around the human brain and the neurons are capable of learning from new data and correlate the learned information to the past experiences to ...
8