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UNDERWATER AND OLD IMAGE ENHANCEMENT
The Purpose Of Project Improve The Color Correction Ability Of The Model, And Overcome The Problem Of Color Distortion Of Underwater Image. While Improving The Brightness Of The Image, The Problem Of Color Distortion And Brightness Blocking...
ANDROID MALWARE DETECTION USING MACHINE LEARNING
The Rapid Increase In The Number Of Mobile Devices, Particularly Android Smartphones, Has Led To A Surge In Malware Attacks Targeting These Devices. To Combat This Growing Threat, Various Methods Have Been Developed, Including Machine Learn...
Bird species identification using machine learning
Now A Day Some Bird Species Are Being Found Rarely And If Found Classification Of Bird Species Prediction Is Difficult. Naturally, Birds Present In Various Scenarios Appear In Different Sizes, Shapes, Colours, And Angles From Human Perspect...
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...
AUTOMATIC ELECTRICITY METER READING & BILL GENERATING ANDROID APPLICATION
Meter Reading And Billing Are Complex Tasks Of Electricity, Water And Gas Supplier Companies. The Current Technology Of Billing Process Uses Manual Process Of Meter Reading, Updating The Server With Reading And Billing Customer. We Are...
RICE GRADING QUALITY ANALYSIS FOR AGMARK STANDARD
The Quality Inspection Method Of Rice Grain Which Is Followed By AGMARK Is Based On Manual Inspection By The Assigned Inspectors Which Proves To Be An Improper Way And Outcomes That Results Are Inaccurate. A Digital Inspection Method Fo...