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A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Auto encoders
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A Fast Commutation Error Correction Method for Sensorless BLDC Motor Considering Rapidly Varying Rotor Speed
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A Hybrid Two Stage GNG Modified VGG Method for Bone X Rays Classification and Abnormality Detection
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A Magnetically Controlled Single Stage AC DC Converter
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A Multi Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification
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A Multimodal Approach for Identifying Autism Spectrum Disorders in Children (Copy)
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A New method for flow based network intrusion detection using the inverse Potts model
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A New method for flow-based network intrusion detection using the inverse Potts model
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A Novel Image Steganography Method for Industrial Internet of Things Security
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A Novel Modified Control Scheme in Grid tied Photovoltaic System for Power Quality Enhancement
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A Soft Switching Double Input Micro Inverter
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A Supervised Segmentation Network for Hyperspectral Image Classification
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A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG Based Gesture Recognition
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A Two-Stage Underwater Enhancement Network Based on Structure Decomposition and Characteristics of Underwater Imaging
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Academic and Demographic Cluster Analysis of Engineering Student Success
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Advanced Model of Hybrid Energy Storage System Integrating Lithium-ion Battery and Supercapacitor For Electric Vehicle Applications
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An Efficient Blood Cell Segmentation for the Detection of Hematological Disorders
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An Efficient Spam Detection Technique for IoT Devices using Machine Learning
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Application and Construction of Deep Learning Networks in Medical Imaging
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Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification
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Artificial Neural Networks for Asymmetric Selective Harmonic Current Mitigation PWM in Active Power Filters to Meet Power Quality Standards
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Attention Consistent Network for Remote Sensing Scene Classification
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Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram
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Bilateral Attention Network for RGB D Salient Object Detection
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Boosting-based DDoS Detection in Internet of Things Systems
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Can Online Consumer Reviews Signal Restaurant Closure A Deep Learning-Based Time-Series Analysis
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College Event Management System
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CONTRAST ENHANCED MULTI SENSOR IMAGE FUSION BASED ON GUIDED IMAGE FILTER AND NSST
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Convolutional Sparse Support Estimator Based COVID 19 Recognition From X Ray Images
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CORDIC-Based Computation of Arcsine and Arccosine Functions on FPGA
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COVID 19 Patient Count Prediction Using LSTM
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Covid 19 testing management and analysis system
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COVIDSenti A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
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Crime reporting management system
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Cross-Subject Zero Calibration Drivers Drowsiness Detection Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification
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Daily expenses management system
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Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition
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Deep Concatenated Residual Network With Bidirectional LSTM for One Hour Ahead Wind Power Forecasting
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Deep Convolution-based LSTM Network for Remaining Useful Life Prediction
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Deep Rating and Review Neural Network for Item Recommendation
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DeepKeyGen A Deep Learning Based Stream Cipher Generator for Medical Image Encryption and Decryption
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DeprNet A Deep Convolution Neural Network Framework for Detecting Depression Using EEG
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Direct Speech-to-Image Translation
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E PASS MANAGEMENT SYSTEM
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Early Detection of Alzheimer’s Disease with Blood Plasma Proteins Using Support Vector Machines
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Employee leave management system
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Enhancing EEG Based Classification of Depression Patients Using Spatial Information
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Enhancing EEG-Based Classification of Depression Patients Using
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Ethanol Fuel Demand Forecasting in Brazil Using a LSTM Recurrent Neural Network Approach
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Examining Successful Attributes for Undergraduate Students by Applying Machine Learning Techniques
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Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors
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Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi Channel EEG
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Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification
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Fully Soft Switched Multi Port DC DC Converter with High Integration
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Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids
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Grape Disease Detection Network based on Multi-task Learning and Attention Features
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Hiding Data Using Efficient Combination of RSA Cryptography and Compression Steganography Techniques
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High-Performance Architecture Using Fast Dynamic Reconfigurable Accelerators
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High-Performance Architecture Using Fast Dynamic Reconfigurable Accelerators
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Hybrid Deep Learning for Botnet Attack Detection in the Internet of Things Networks
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