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PERFORMANCE ANALYSIS OF HEART DISEASE PREDICTION USING MRNN ALGORITHM
Heart Disease Is One Of The Major Disease World Wide So Many Peoples Suffered For Heart Disease. Diseases Can Affect People Both Physically And Mentally, As Contracting And Living With A Disease Can Alter The Affected Person's Perspective O...
EARLY DETECTION OF CHRONIC KIDNEY DISEASE IN HIV PATIENTS USING MACHINE LEARNING
Chronic Kidney Disease (CKD) Is An Overall Ailment With High Dismalness And Passing Rate, And It Prompts Various Sicknesses. Patients Frequently Disregard The Condition Because There Are No Obvious Incidental Effects During The Initial Stag...
COMPARATIVE STUDIES OF DEEP LEARNING APPLIED TO SKIN DISEASE DETECTION
Human Skin Detection Is An Important And Challenging Problem In Computer Vision. The Differences In Illumination And Ranges Of Skin Colours Have Made Skin Detection A Challenging Task. This Research Tries To Extract Useful Features From The...
HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease. Data Science Plays A Crucial Role In Processing Huge Amount O...
DETECTION OF BREAST-CANCER BY LOGISTIC REGRESSION USING MACHINE LEARNING
Cancer Is One Of The Major Leading Problems In The World. Around Millions Of People Are Being Infected With Cancer. There Is A Large Number Of Cancer Patients In This World. Cancer Is A Group Of Various Diseases Involving Abnormal Cell Clus...
AN IOT BASED SAG MONITORING SYSTEM FOR OVERHEAD TRANSMISSION LINE
The Project Focuses On Developing A Monitoring System For Overhead Power Grids That Can Detect Sagging Of Extra-high Voltage Transmission Lines In Real-time. Such Sagging Can Lead To Major Blackouts And Existing Methods For Measuring Sag Ha...
HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease.The Main Objective Of The Project Is To Develop A System For H...
A MACHINE LEARNING BASED APPROACH TO ANALYSE AND PREDICT WATER QUALITY
Water Is A Need For All Living Things. Water Is Required For Numerous Daily Activities Such As Drinking, Washing, Bathing, And Cooking. If The Water Is Of Poor Quality, It Is Unsuitable For Drinking And Other Activities. Water Quality Is Of...
BRIEF REVIEW ON NOVEL CONTROL DRUG DELIVERY SYSTEM OF OCULAR INSERT
There Are Several Eye Illnesses That Can Affect The Eye And Cause Vision Loss. As A Result, There Are Numerous Ophthalmic Drug Delivery Systems Accessible. There Are Two Types Of Medication Delivery Systems; Conventional And Non-conventiona...
CONCISE REVIEW ON MODIFIED RELEASE DRUG PRODUCTS OF MATRIX TABLETS AS DRUG DELIVERY SYSTEM
Oral Route Of Drug Delivery Is The Most Preferred Method Among The Available Routes Of Drug Administration. However, The Traditional Conventional Or Immediate Oral Dosage Form Especially Tablets, Capsules Have A Few Drawbacks Such As Rapid...
SUSTAINED RELEASE ORAL DRUG DELIVERY SYSTEM : A REVIEW
The Most Popular And Practical Method For Administering Different Medications Is Oral Drug Delivery Since It Offers The Highest Active Surface Area Of Any Drug Delivery Mechanism. The Popularity Of These Dosage Forms Stems From Awareness Of...
SUSTAINED RELEASE DRUG DELIVERY SYSTEM: A REVIEW
Among All Drug Delivery System, Oral Drug Delivery Is The Most Preferred Route For Administration Of Various Drugs. Sustained Release Products Provide Advantage Over Conventional Dosage Form By Optimizing Bio Pharmaceutics, Pharmacokinetics...
Classification of Plant Leaf Disease Using Machine Learning & Pre-Processing Techniques
Agriculture Is The Backbone Of The Indian Economy. In India Itself, Around 65% Of The Population Is Based On Agriculture. Due To Changes In Weather & Local Conditions, The Crops Get Infected & They Get Infected By Various Diseases Which Res...
IDENTIFYING PLANT DISEASE USING IMAGE PROCESSING AND DEEP LEARNING
In India's Economy, Agriculture Plays Important Role. To Prevent Crop Loss And Future Plants Disease Spread, Early Detection Of Plant Infections Is Extremely Important. The Majority Of Plants, Including Apple, Tomato, Cherry, And Grapes, Ex...
tomato leaf disease detection using convolutional neural network
Tomato Leaf Disease Is A Serious Issue That Can Cause Significant Yield Loss And Affect The Quality Of The Crop. In Recent Years, Deep Learning Techniques Have Been Applied To Detect Plant Diseases Using Images Of Affected Leaves. This Stud...