Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Propagation"
A Wave Tank Model For Coastal Flood Defence
A Water Tank Model To Study The Behavior Of Waves And Their Impact On Coastal Areas. Artificial Waves Are Generated In The Tank To Simulate Sea Waves And Flood And A Sloping Bed And Coastal Defence Structures (such As Seawalls, Steps, Rock...
An Optimized Machine Learning Model For Pavement Condition Prediction
Pavement Condition Prediction Is An Essential Aspect Of Road Maintenance Planning, Ensuring The Safety, Efficiency, And Durability Of Transportation Infrastructure. Statistical Machine Learning (ML) Techniques Have Emerged As Powerful Tools...
An Adaptive Neuro Fuzzy Inference System And Semantic Analysis Model For Mobile Spam Classification
With Increased Internet Usage, One Of The Most Prevalent Problems Faced Is Constant Spamming. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devices Has Led To An Outburst Of Heavy Mobile Spa...
A Review on Machine Learning and Deep Learning Models for Forecasting Crypto Trends
Crypto Price Prediction Is A Category Of Time Series Prediction Which Extremely Challenging Due To The Dependence Of Crypto Prices On Several Financial, Socioeconomic And Political Parameters Etc. Moreover, Small Inaccuracies In Crypto Pric...
SMART SENIOR CITIZEN FACIAL EMOTION ANALYSIS WITH ROBOTIC BOT ASSISTANT
One Of The Primary Drivers Of The Activity Recognition Study Is Thought To Be The Challenges Encountered By Elderly Individuals Who Live Freely. The Majority Of People Will Experience Loneliness If No One Is Around To Look After Them. The D...
AN AUTOMATED FUZZY LOGIC BASED APPROACH FOR TEXT SPAM DETECTION
With Increased Internet Usage, One Of The Most Prevalent Problems Faced Is Constant Spamming. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devices Has Led To An Outburst Of Heavy Mobile Spa...
AN ANALYSIS OF THE OUTCOME OF HEART DISEASE USING DNN AND DATA MINING FRAMEWORK
Mortality Rate Increases All Over The World On Daily Basis. The Reasons For This Could Be Increase In The Numbers Of Patient With Cardiovascular Disease. When Considering Death Rates And Large Number Of People Who Suffers From Heart Disease...
HANDWRITING DIGIT RECOGNITION ON MNIST USING CNN
The Capacity Of Pc Applications To Understand Numbers Written Via Way Of Means Of Human Beings Is Known As Handwritten Digit Recognition. This Is Hard To Do With A Device Due To The Fact Handwritten Numbers Aren't Usually Best And May Be S...
A REVIEW OF THE EFFECT OF ENVIRONMENTAL STRESS CRACK RESISTANCE (ESCR) ON HIGH-DENSITY POLYETHYLENE (HDPE) MATERIAL.
Estimating A Material's Stress Behaviour From The Point At Which It Is Loaded, The Objective Of This Research Is To Get An Analysis Of The Development Of Mechanical Stress On High-density Polyethylene (HDPE) Material, With A Particular Emph...
A COMPARATIVE STUDY OF ALGORITHMS FOR DETECTING KIDNEY STONES IN CT-SCAN IMAGES
One In Seven Girls And One In Ten Males Will Develop Nephrolithiasis (kidney Stones) At Some Point In Their Lives. For Problems To Be Avoided, Nephrolithiasis Must Be Diagnosed Early. Imaging Methods Help To Identify Kidney Stones And To De...
RAINFALL ANALYSIS USING CNN
Back Propagation Is Most Generally Utilized In Neural Network Projects Because It's Easy To Coach And For Its Accuracy. Back Propagation Learning Algorithm Consists Of Two Facets, The Primary One Generate The Input Pattern Of The Network An...
DETECTION OF BRAIN TUMOR FROM MRI IMAGES BY CLASSIFICATION
In This Paper We Propose Brain Tumor Detection, Image Processing Is Used In The Medical Tools For Detection Of Tumor, MRI Images Are Used As They Can Identify The Tumorous Region When Using Fully Connected Neural Networks. We Take Our Data...
OFDM CHANNEL ESTIMATION USING BAYESIAN REGULARIZATION ALGORITHM
Orthogonal Frequency Division Multiplexing Is A Multi Carrier System Which Owing To Its Spectral Efficiency Has Evolved As The Primary Solution To High Speed Data Networks. The Fundamental Problem Still Lies In The Fact That Wireless Channe...
ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD FORECASTING AT KASOL IN THE RIVER SATLUJ, INDIA
Flood Causes Considerable Damage To Human Lives And Property Almost Every Year. Therefore, Flood Forecasting & Warning Has Been Recognized As The Most Important, Reliable And Cost Effective Non-structural Measures For Flood Mitigation. One...
FAULT DETECTION OF NEURAL NETWORK USING MACHINE LEARNING
An Artificial Neural Network (ANN) Is A Computational Model Based On The Structure And Functions Of Biological Neural Networks. Information That Flows Through The Network Affects The Structure Of The ANN Because A Neural Network Changes - O...