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Papers tagged with "Neural"
VERY DEEP CONVOLUTIONAL NETWORKS AND RANDOM FOREST USED IN IMAGE PROCESSING TECHNIQUES
Here, We Inspect The Outcome Of The Convolutional Network Depth On Its Correctness In The Large-scale Image Recognition Tasks. The Chief Role Is Thorough Valuation Of Networks Of Increasing Deepness By Means Of An Architecture With Small (...
VIDEO ANALYSIS OF HUMAN POSE ESTIMATION USING DEEP NEURAL NETWORKS AND COMPUTER VISION APPROACHES AND ITS APPLICATIONS
Deep Architectures With Convolution Structure Have Been Found Highly Effective And Commonly Used In Computer Vision. With The Introduction Of Graphics Processing Unit (GPU) For General Purpose Issues, There Has Been An Increasing Attention...
RECOGNITION OF VINDICTIVE CODE VARIATIONS DEPENDENT ON DEEP LEARNING
With The Improvement Of The Web, Malignant Code Assaults Have Expanded Exponentially, With Vindictive Code Variations Positioning As A Key Danger To Web Security. The Capacity To Identify Variations Of Vindictive Code Is Basic For Insurance...
ANALYSIS OF CHRONIC DISEASE PREDICTION USING BIG DATA OVER CLOUD BASED IOT
Internet Of Things And Big Data Has Emerged With Massive Amount Of Data Which Making An Elegant Relation Among Those Data In Various Fields And A Cloud Data Management, Plays A Vital Role In This Modern Hasty World. Physical Health And Ment...
stock market prediction using lstm
Stock Market Prediction Is A Software Model To Analyze Trends In Stock Market And Predict Their Values In The Near Future. In A Economically Volatile Market Like Stock Market, It Is Necessary To Predict Future Trends. It Is Important To...
ENVIRONMENT CHANGE PREDICTION TO ADAPT CLIMATE-SMART AGRICULTURE
This Year The Increased Climate Unpredictability Is Challenging To Agriculturalists. It Will Assume To Influence On Yield And Livestock Productivity. So New Methods Are Essential To Farmers With Modernized And Important Statistics So As To...
PERFORMANCE ANALYSIS OF A RULE BASED MINING FRAMEWORK IN PREDICTING RETAIL SALES
Data Mining Is The Process Of Extracting Interesting And Previously Unknown Patterns And Correlations From Data Stored In Huge Data Repositories. Association Rule Mining, A Descriptive Mining Technique Of Data Mining Is The Process Of Disco...
SURVEY OF SMART SOCIAL MEDIA BOTS FOR DIGITAL MARKETING
In Today’s World Digital Marketing Plays A Very Vital Role In The Field Of Marketing. There Are Many Tools Available For Advertising On Social Media Platforms Like Facebook, Twitter, Instagram Etc. To Promote The Page On Social Media, The M...
INCREASING TAXI BUSINESS REVENUE FROM PREDICTED DEMAND BY APPLYING RECURRENT NEURAL NETWORKS
Forecasting The Demand Of Taxi Through The Entire City Can Be Efficiently Used To Manage The Fleet Of Taxi Control Drivers. By Forecasting The Demand, We Can Reduce The Waiting Time For All Passengers And Can Serve Them In A Better Way. In...
Driver Distraction Detection using Neural Network
Distracted Driving Is Known To Be The Leading Cause Of Motor Vehicle Accidents. It Is Found That Nearly One In Five Motor Vehicle Accidents Were Caused By Distracted Driving. Motivated To Reduce These Number Of Accidents, The Purpose Of Thi...
DENOISING DOCUMENT
Optical Character Recognition (OCR) Is The Process Of Getting Typed Or Handwritten Documents Into A Digitized Format. The Motivation Of Converting To A Digitized Format Is To Ensure Security, Accessibility, Edit-ability And Ease Of Searchin...
Encryption and Decryption using Multi-Layer Artificial Neural Network
Cryptography Is The Science Of Using Mathematics To Encrypt And Decrypt Data. Today Cryptography Is More Than Secret Writing, More Than Encryption And Decryption. Authentication Is As Fundamental A Part Of Our Lives As Privacy. Many Public...
A Theoretical Review of Soft Computing Techniques Used In Complex Problems
Recently New Technique Is Available For Computation Known As Soft Computing. Soft Computing Is Based On Natural As Well As Artificial Ideas. Soft Computing Techniques Are Fuzzy Logic, Neural Network, Support Vector Machines, Evolutionary Co...
A REVIEW OF DETECTION OF HEART FAILURE USING DEEP LEARNING TECHNIQUES
One Of The Major Reasons For Deaths, Not Only In India But All Over The World Is Cardiovascular Diseases. Every Year, Almost A Million People Die Due To These Heart Diseases. In This Study, We Will Be Focusing On Heart Failure (or Congestiv...
Design and Control of robotic arm for object picker using Artificial Neural Network
Artificial Neural Network (ANN) Is A Powerful And One Of The Most Effective Learning Techniques And Is Inspired By Biological Neural Networks. This Paper Is Focus On Training A Robotic Arm To Accurately Pick An Object Within The Arm's Range...