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Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
From Centralization To Decentralization: Blockchain's Role In Transforming Social Media Platform Page
The Growing Dependence On Social Media Platforms For Day-to-day Communication Has Made Digital Privacy A Serious Concern. Platforms Such As Instagram, Twitter, And Facebook Host Vast Amounts Of User-generated Content, Including Images, Text...
Traffic Volume Forecast Using Statistical Regression Learning For Annual Average Daily Traffic (AADT) Estimate
With The Advent Of Intelligent Transportation Systems (ITS), Short Term Traffic Prediction Is A Major Feature To Develop The Smart Traffic System For The Smart City Framework. It Allows Real Time Data Accumulation, Analysis And Operations I...
A Chaotic Framework For Image Encryption In Transform Domain
Off Late Conventional Image Data Hiding And Encryption Mechanisms Have Seen A Shift Towards Homomorphic Images Which Can Be Thought Of Being Created From A Constant Illumination And A Varying Reflectance. In This Proposed Work, The Fresnel...
Fault Detection And Restoration Through Wavelet Transform In Grid System
Fault Detection And Restoration Through Wavelet Transform Refers To The Advanced Methodologies Employed To Identify And Mitigate Faults In Electrical Systems Using Wavelet Analysis. The Growing Complexity And Non-linearity Of Signals Genera...
A DATA DRIVEN APPROACH FOR FORECASTING CLICK THROUGH RATES
There Has Been A Metamorphosis In The Advertising Realm With The Conventional Techniques Such As Billboards, Print Media And Television Media Facing Extremely Large Competition From The Online Advertising Platform By Dint Of The Fact That A...
AN IMAGE PROCESSING AND NEURAL NETWORK APPROACH FOR GLAUCOMA IDENTIFICATION
Glaucoma Is A Chronic Eye Disease, Where A Loss Of Vision Occurs As A Result Of Progressive Optic Nerve And Astrocytes Damage Caused By High Intraocular Pressure (IOP). It Is The Second Major Cause Of Visual Impairment And Blindness Worldwi...
AN AUTOMATED SUPERVISED MACHINE LEARNING MODELS FOR (ALL) CANCER CLASSIFICATION
In This Paper, We Have Present A Machine Learning Based Approach For The Classification Of Blood Leukaemiausing Microscopic Images Employing A Probabilistic Neural Network. Probabilistic Neural Network Is Based On Bayes’s Theorem Of Condit...
A DATA DRIVEN APPROACH FOR PREDICTION OF AGRARIAN YIELD THROUGH MACHINE LEARNING
Agriculture Is Undergoing A Metamorphosis Due To Several Environmantal And Scoal Factors. Due To Challenges Such As Global Warming, Intermittent Rainfall Patterns And Eroding Nutrient Values Of Soil, Crop Yileds Have Become More Upredictabl...
FORECASTING CROP YIELDS EMPLOYING GRADIENT DESCENT ALGORITHM FOR DEEP NEURAL NETWORKS
Agriculture Is Undergoing A Metamorphosis Due To Several Environmantal And Scoal Factors. Due To Challenges Such As Global Warming, Intermittent Rainfall Patterns And Eroding Nutrient Values Of Soil, Crop Yileds Have Become More Upredictabl...
A NEURO FUZZY INFERENCE SYSTEMS BASED METHOD FOR DEMAND FORECASTING FOR SUPPLY CHAINS
Off Late, The Demand For Pharmaceutical Products And Drugs Has Ramped Up Significantly Due To The Ongoing COVID-19 Scenario. Several Instances Have Been Reported Where Large Scarcity Of Drugs Have Led To Fatalities In Patients. Hence, The N...
IMAGE PROCESSING METHODS USING FOR DIAGNOSIS DIABETIC RETINOPATHY
A Diabetic Eye Infection Is One Of The Serious Issues Around The World. That Can Cause Major Impairment To The Eyes, Including A Permanent Loss Of Vision. Early Detection Of Eye Diseases Increase The Survival Rate By Successful Treatment. T...
DIAGNOSIS OF DIABETIC RETINOPATHY USING DEEP NEURAL NETWORK
The Condition Of The Vascular Network Of Human Eye Is An Important Diagnostic Factor In Ophthalmology. Its Segmentation In Fundus Imaging Is A Nontrivial Task Due To Variable Size Of Vessels, Relatively Low Contrast, And Potential Presence...
NOISE REDUCTION BASED ON PARTIAL DIFFERENT, DUAL TREE COMPLEX WAVELET TRANSFORM SHRINKAGE
This Work Presents A Novel Way To Reduce Noise Introduced Or Exacerbated By Image Enhancement Methods, In Particular Algorithms Based On The Random Spray Sampling Technique, But Not Only. According To The Nature Of Sprays, Output Images Of...
IMPLEMENTATION OF WATERMARKING USING DCT, DWT AND OPTIMIZATION TECHNIQUES
Digital Watermarking May Be A Technique Which Is Employed To Cover The Ownership Information Within The Digital Media. Watermarking Techniques Are Developed To Guard The Copyright Of Multimedia Objects Like Text, Audio, Video, Etc. This Wor...