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PERIOCULAR RECOGNITION WITHOUT THE IRIS AND SCLERA USING DEEP NEURAL NETWORKS
A Disruptive Hypothesis For Periocular Biometrics In Visible-light Data, The Recognition Performance Is Optimized When The Components Inside The Ocular Globeare Simply Discarded, And The Recognizer’s Response Is Exclusively Based On The Inf...
GESTURE RECOGNITION BY USING NEURAL NETWORKS
Disabilities In People Like Paraplegia, Parkinson’s Disease Can Greatly Affect Their Living . More Than 270,000 Patients Suffer From Various Types Of Motor Impairments In The United States Alone . In The Past Few Years Computational Gestur...
SURVEY: DATA MINING TECHNIQUES USED IN AGRICULTURAL FIELD
This Paper Shows That The Different Crop Yield Prediction Methods With The Use Of Data Mining Techniques. The Agricultural System Is Very Complex Since It Deals With Large Data Situation Which Comes From A Number Of Factors. Different Data...
DESIGN OF VEDIC MULTIPLIER BY USING NEURAL NETWORK TECHNOLOGY & MAC
An Artificial Neural Network (ANN) Is Parallel Information Processing Structure Consists Of Processing Units. The Processing Unit Decides While The Network Is Efficient Or Not. So It Is Needed To Design An Efficient Processing Unit Which Pr...
ARTIFICIAL INTELLIGENCE FOR THE PREDICTION OF SAFE WORK BEHAVIOR IN CONSTRUCTION
A Model Has Been Developed Employing An Artificial Neural Network (ANN) To Predict The Safe Work Behavior Of Employees Using 12 Safety Climate Constructs Determined Through Literature Review. The Model Utilizes Safety Climate Constructs (de...
DIFFERENTIAL PROTECTION OF INDIRECT SYMMETRICAL PHASE SHIFT TRANSFORMER AND INTERNAL FAULTS CLASSIFICATION USING WAVELET AND ANN
This Paper Illustrates A Differential Protection Algorithm For Indirect Symmetrical Phase Shifting Transformer (ISPST) Using Wavelet Transform (WT). Further, A Multi-Layer Feed Forward Neural Network (MLFFNN) Based Algorithm Has Been Develo...
INTRUSION DETECTION USING ARTIFICIAL AND HIERARCHICAL NEURAL NETWORKS
Intrusion Detection Systems (IDSs) Provide An Important Layer Of Security For Computer Systems And Networks, And Are Becoming More And More Necessary As Reliance On Internet Services Increases And Systems With Sensitive Data Are More Common...
WEB PAGE FEATURE EXTRACTION AND CLASSIFICATION USING NEURAL NETWORK
Majority Of Information Systems Today Such As Search Engines, Recommendation Systems And Other Artificial Intelligence Systems Gather Information From The Internet. Most Of The Information On The Internet Is In The Form Of Web Pages. To Eff...
SHADOW DETECTION USING CONVOLUTIONAL NEURAL NETWORK
We Present A Practical Framework To Automatically Detect Shadows In Real-world Scenes From A Single Photograph Previous Works On Shadow Detection Requires Human Intervention To Detect Shadow.But Our Framework Automatically Learns The Most R...
A NOVEL APPROACH FOR FAULT ANALYSIS IN ELECTRICAL TRANSMISSIONS LINE USING NEURAL NETWORK
This Paper Focuses On Detecting And Classifying The Faults On Electric Power Transmission Lines. Fault Detection, Fault Classification And Fault Location Have Been Achieved By Using Artificial Neural Networks. Feed Forward Networks Have Bee...
AN IMAGE CLASSIFICATION BASED ON CNN APPROACH FOR PLANT LEAF DISEASE DETECTION
This Paper Provides Survey On Plant Leaf Disease Detection Using Machine Learning Techniques. As Disease In Plants Makes Significant Impact On Production In Agriculture Finding This Diseases In An Early Stage Is Difficult Thing As Farmers A...
BEARING FAULT DIAGNOSIS USING CONTINUOUS WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK
Bearings Are Widely Used In Various Types Of Machines Ranging From Simple Fan Motors To Complex Turbines. Bearing Faults Are A Common Cause Of Failure In Any Rotating Machinery. These Faults Are Caused Due To Manufacturing Defects, Improper...
TREE SPECIES IDENTIFICATION USING CONVOLUSTIONAL NEURAL NETWORKS
Tree Species Identification Is Crucial For Forest Management. From The Perspective Of Plant Taxonomy, Leaves, Flowers, Roots, And Fruits All Carry Important Information To Distinguish Different Species. Roots, However, Are Buried In The Gro...
CROP DISEASE ANALYSIS USING MACHINE LEARNING
India Is Agrarian Country. Agriculture Is The Main Backbone Of The Indian Economy. Total 60% Of India’s Land Comes Under The Agriculture. 70 % Of Population Are Directly Or Indirectly Depend On Agriculture In India. Agriculture Not Only Pla...
IMAGE ACQUISITION USING RASPBERRY PI
The Project Mainly Reflects The Face Recognition By Using PIR Sensors And Stores The Captured Image In Database And It Can Be Processed Using Adaptive Resonance Theory(ART) Neural Networks For Classifier, Multilayer Perceptron Model For Det...