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Papers tagged with "Neural"
EFFECTIVE HEART DISEASE DETECTION USING ARTIFICIAL INTELLIGENCE AND FUZZY LOGIC
In A Huge Country Like India There Is An Exceptional Growth In Number Of Heart Related Diseases. Heart Disease Is The Leading Cause Of Death For Both Men And Women. An Estimated 17.7 Million People Died From CVDs In 2015, Representing 31% O...
A NOVEL APPROACH FOR TOPOLOGICAL MODELING AND CLASSIFICATION OF MAMMOGRAPHIC DATA USING ARTIFICIAL NEURAL NETWORK
Breast Cancer Is The Most Mutual Type Of Cancer For Women And The Second Leading Cause Of Cancer Related Deaths, Next To Lung Cancer. Breast Cancer Is Caused When Abnormal Tissue In The Breast Begins To Multiply Uncontrollably. The Advantag...
HIGH IMPEDANCE FAULT ANALYSIS IN DISTRIBUTION SYSTEM USING ANN AND RVM WITH WAVELET TRANSFORM AS FEATURE EXTRACTION TECHNIQUE
Transient Faults That Are Not Been Sensed By Most Of Switchgear Devices Like The Distance Relays And The Over Current Relays Are Being Taken In To Consideration In This Project. The Transient Fault Because Of The High Impedance Is Not Sense...
A SURVEY ON MINING TECHNIQUES FOR DEPRESSION PREDICTION
Mental Health Plays A Vital Role In Our Life And Is A Crucial Part In The Concept Of Health. Depression Cures Earlier When Detected At Initial Stage. Nowadays Modern Methods Are Involved To Detect The State Of The Mood And The Hidden Activi...
HYBRID HEURISTIC OPTIMIZATION MODEL FOR BENCHMARK DATASET AND BIOMEDICAL SIGNALS
This Paper Introduces Hybridization Of Particle Swarm Optimization (PSO) Which Is Denoted As PSO Provides An Efficient Approach Which Is Used To Solve Non Linear Datasets. The Proposed Algorithm Employed In Generalized Regression Neural Net...
PERFORMANCE ANALYSIS OF FIREFLY MAXIMUM POWER POINT TRACKING TECHNIQUE FOR PV GRID CONNECTED SYSTEM
Energy Is The Foremost Fundamental Concept Of A Country. Development Of The Indian Economy In The Existing Infrastructure Is Critical. The Power Sector Of The India Is One Of The Biggest Expanded Section In The Globe. Because Of The Unbrok...
SIMULATION ANALYSIS OF MULTIMODAL BIOMETRIC RECOGNITION USING ARTIFICIAL NEURAL NETWORK ALGORITHM
Personnel Identification And Verification Systems Are Emerging Fields In Recent Years. Biometric Identification Is Considered As Best Method For Offering Security, To Avoid Unauthorized Access. Multimodal Biometrics Is Used Now A Day Becaus...
DATA MINING FOR PESTICIDES DIETARY EXPOSURES- A REVIEW ARTICLE
In This Paper An Attempt Has Been Made To Review The Research Studies On Application Of Data Mining Techniques In The Field Of Pesticides Dietary Exposures. Some Of The Techniques, Such As Clustering (Recursive Noise Removal), Classificatio...
DECISION TREE BASED INTRUSION DETECTION SYSTEM
An Intrusion Detection Method Is Software That Automates The Intrusion Detection Process. It Can Be Defined As Security Systems That Can Identify Attempt Or Ongoing Attacks On A Computer System Or Network. Rising Consistent And Efficient ID...
AUTOMATIC FACE NAMING SYSTEM: SURVEY
Face Detection And Recognition Makes Possible To Use The Images Of A Person Face To Authenticate Him Which Allows To Perform Criminal Identification, Passport Verification Etc And Makes Secure System.For Given Collection Of Images Or Video,...
EVALUATION OF FRAUD DETECTION TECHNIQUES
In Current Situation, The Term Fraud Is The Most Trendy And Challenging Topic In Context To The Financial Transaction Involving Credit Card. Fraud Detection Includes Auditing Of The Spending Style Of Users Or Customers In Order To Figure Ou...
Study of ECG Signal behavior Using Soft Computing
The Main Cause Of Human Death Is Cardiovascular Disease (CVD) In Today’s World. In Order To Combat And Dignose Thisdisease, Many Professionals Are Using Mobile Electrocardiogram(ECG) Remote Monitoring System. ECG Feature Extraction Plays A...
DEFECT DETECTION OF PATTERNED FABRIC USING REGULAR BAND AND DISTANCE MATCHING FUNCTION
In Traditional Fabric Defect Detection System, Visual Inspection Of By Human Being Is Time Consuming, Inefficient And Costly Method. So In Order To Overcome This Drawback, The Fast And Cost Efficient Automatic Pattern Fabric Inspection Meth...
an approach to brain tumor segmentation using convolutional neural networks
Nowadays Brain Tumors Have Become Very Serious Issue. Considering Different Types Of Brain Tumors, The Most Common And Aggressive Tumors Are Gliomas. These Gliomas Lead To A Very Short Life Span Of Patients If The Tumor Is Of High Grade And...
ENTROPY REDUCTION BY USING K-MEANS CLUSTERING AND NEURAL NETWORK
Vast Amount Of Data Is Being Gathered By Numerous Medical Organization. Researchers Are Working Hard To Uncover Hidden Patterns From Raw Data Available. This Paper Focuses On The Tools And Various Data Mining Techniques To Study The Medical...