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Papers tagged with "Eas"

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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...

S.Dinesh, M.Arunkumar, V.Karthik, Mr.G.Anand
Vol 9, Issue 5 (May 2023) Computer Science And Engineering

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...

M.Ramya, M.Ramya, K.Deepika, M.Narmatha
Vol 9, Issue 5 (May 2023) Computer Science And Engineering

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...

Pooja B, Ragavi R, Ramya S, Sakithya R S | Dr.S.Abirami
Vol 9, Issue 5 (May 2023) Computer Science And Engineering

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...

Moohambikai.M, Menaka C, Jabitha B, Prasanth S | Sujith.R
Vol 9, Issue 5 (May 2023) Computer Science And Engineering

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...

Aravind Raj

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...

Mr. P. Muthuponnarasu, Banupriya. J, Jayasri. S | Kaveri. V, Oviya. S | Sakthi. R
Vol 9, Issue 5 (May 2023) Computer Applications

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...

Ms. S.Leela Bharathi, Dr.S.Shahar Banu
Vol 9, Issue 4 (April 2023) Information Technology

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...

Dr R Pushpalakshmi, Dharshini K, Divya Dharshini P, Harishma K
Vol 9, Issue 4 (April 2023) Pharmaceutics

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...

S. Krishna kumar, Dr. M. Chellappa
Vol 9, Issue 4 (April 2023) Pharmaceutics

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...

B.Keerthana, Dr.M.Chellappa
Vol 9, Issue 3 (March 2023) NA

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...

S.Vijay, Mrs.K.Malarvizhi
Vol 9, Issue 3 (March 2023) PHARMACY

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...

Dethe Atul Dattatray, Rokade Anita Suresh, Dr. Khedkar Amol. N.
Vol 9, Issue 3 (March 2023) Information Technology

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...

Sakshi Surywanshi , Tejal Patil, Chetna Thorat, Kishori Daine | Prof. Sana Shaikh
Vol 9, Issue 3 (March 2023) Computer Science & Engineering

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...

Sriraja B, Suresh Rajan M, Thavaprakash S, Solasa Naga Sai Surendra Gupta | Rajagopal T K P
Vol 9, Issue 3 (March 2023) Computer Science And Engineering

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...

Suncia Ashrine, Abin Singh K, Jithin M, Keroline W

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