1 |
USE OF ARTIFICIAL NEURAL NETWORKS TO IDENTIFY FAKE PROFILES |
PYTHON |
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2 |
FINGER VEIN VERIFICATION USING A SIAMESE CNN
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PYTHON |
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3 |
A Machine Learning Model for Average Fuel consumption in heavy vehicles |
PYTHON |
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4 |
Video-Based Abnormal Driving Behavior DETECTION VIA DEEP LAERNING FUSIONS |
PYTHON |
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5 |
Automating E-Government Services WITH ARTIFICAL INTELLIGENCE |
PYTHON |
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6 |
energy efficent iot virutalization framework with preer to peer networking and pracessing |
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7 |
HOMOMORPHIC CONSORTIUM BLOCKCHAI FOR SMART HOME SYSTEM SENSITIVE SENSITIVE DATAPRIVACY PRESERVING |
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8 |
A TASK SCHEDULING ALIGORITHM WITH IMPROVED MAKESPAN BASED ON PREDICTION OF TASKS COMPUTATION TIME ALGORITHM FOR CLOUD COMPUTING |
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9 |
SECURING DATA WITH BLOCKCHAIN AND AI |
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10 |
INTEGRATED LEARNING VIA RANDOMIZEDFORESTSAND LOCALIZED REGRESSION WITH APPLACTION TO MEDICAL DIAGNOSIS
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11 |
PREDECTING OF PRESS-FIT QUALITY VIA DATAMINING TECHNIQUES AND ARTIFICAL INTELLIGENCE |
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12 |
ANOVEL ADVATIVE RESOURCE ALLACATION MODEL BASED ON SMDP AND REINFORCEMENT LEARNING ALOGORITHM IN VEHICULAR CLOUD SYSTEM |
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13 |
Exploring Trajectory Prediction Through machine learning projects |
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14 |
Comments Mining With TF-IDF: The inherent bias and its removal |
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15 |
Squeeze and Excitation Rank Faster R-CNN for ship detection in sar images |
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16 |
Twitter Sentiment Analysis Based on ordinal regression |
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17 |
5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds |
PYTHON |
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18 |
A Decision Tree based Recommendation System for Tourists |
PYTHON |
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19 |
A Deep Learning Facial Expression Recognition Based Scoring System For Restaurants |
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20 |
A Survey on Optical Character Recognition System |
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21 |
Bird Species Identification using Deep Learning |
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22 |
CHATBOT APPLICATION |
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23 |
Comparison of Machine Learning Methods for BreastCancer Diagnosis |
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24 |
Cartooning Of An Image |
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25 |
Credit Card Fraud Detection Using Random Forest & Cart Algorithm |
PYTHON |
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26 |
Data-Driven Design of Fog Computing aided Process Monitoring System for Large-Scale Industrial Processes |
PYTHON |
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27 |
Deep Texture Features for RobustFace Spoofing Detection |
PYTHON |
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28 |
Density Based Smart Traffic Control System UsingCanny Edge Detection Algorithm for CongregatingTraffic Information |
PYTHON |
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29 |
Driver Drowsiness Monitoring System using VisualBehaviour and Machine Learning |
PYTHON |
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30 |
E-ASSESSMENT USING IMAGE PROCESSING IN EXAMS |
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31 |
Exploring Trajectory Prediction through MachineLearning Methods |
PYTHON |
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32 |
EYE BALL CURSOR MOVEMENT USING OPENCV |
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33 |
Feature extraction for classifying students based on theiracademic performance |
PYTHON |
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34 |
Forecasting Crude Oil Prices: a Deep Learning based Model |
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35 |
Four Machine Learning Methods to Predict Academic Achievement of College Students: A Comparison Study |
PYTHON |
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36 |
Heart Disease Prediction Using Bio Inspired Algorithms |
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37 |
How Data-Driven Entrepreneur Analyzes Imperfect Information for Business Opportunity Evaluation |
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38 |
Hybrid Feature Selection Using Correlation Coefficient and Particle Swarm Optimization on Microarray Gene Expression Data |
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39 |
Image Classification Using CNN (Convolution Neural Networks) Algorithm |
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40 |
Invisibility Cloak using Image Processing |
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41 |
Network Intrusion Detection using SupervisedMachine Learning Technique with Feature Selection |
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42 |
Object Tracking Using Python |
PYTHON |
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43 |
Personalized Affective Feedback to Address Students’ Frustration inITS |
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44 |
Pothole detection in PYTHON |
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45 |
Predicting Personality from Twitter |
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46 |
Object Detection Using YOLO ALIGORITHM |
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47 |
Sentiment Analysis Using Telugu SentiWordNet |
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48 |
Ship Extraction using Post CNN from HighResolution Optical Remotely Sensed Images |
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49 |
Virtual Mouse Operation Using Webcam |
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50 |
Suspicious Activity Detection |
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