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Papers tagged with "Machine Learning"

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Vol 5, Issue 5 (May 2019) Computer Application

BRAIN TUMOR DETECTION : TRACING BRAIN TUMOR USING MACHINE LEARNING

Biomedical Image Processing Is A Growing And Demanding Field. CT Scans, X-Ray And MRI Are Its Different Imaging Methods. Even The Smallest Abnormalities In The Human Body Can Be Identified Using These Techniques. With Least Error Possible,...

Navya Nair, Neevan R
Vol 5, Issue 5 (May 2019) Computer Science Engineering

VOICE BASED NAVIGATION SYTEM FOR VISUALLY IMPAIRED PEOPLE USING MACHINE LEARNING ALGORITHM(YOLO)

This Paper Describes The Development Of A Navigation Aid In Order To Assist Blind And Visually Impaired People To Navigate Easily, Safely And To Detect Any Obstacles. The System Is Based On A Microcontroller With Speech Output .It Demonstra...

Vijay Swaroop, Deekshith LN Swamy, Kavya Sree.M, Kavitha.C
Vol 5, Issue 4 (April 2019) Computer Science

ASSISTIVE TECHNOLOGY TO EXPEDITE JUDICIAL PROCEDURE USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING TECHNIQUES

The Indian Judiciary Stacks A Pile-up Of More Than 30 Million Cases, Some In Backlog For More Than 10 Years. Renowned Cases Such As The 1984 Sikh Riots Still Await A Final Judgement With Many Of The Accused And Those Seeking Justice Having...

Prof. Hemalatha KN, Ms. Saarah Asad, Ms. Aishwarya S, Ms. Payal Makhija
Vol 5, Issue 4 (April 2019) Computer Science

EVOLVING MACHINE LEARNING PARADIGM IN BCI AND PERSON RE-IDENTIFICATION

Machine Learning Is One Of The Most Promising Artificial Intelligence Tools. Similarity Learning Is An Area Of Supervised Machine Learning In Artificial Intelligence. The Goal Is To Learn From Examples A Similarity Function That Measures Ho...

Prof. Hemalatha KN, Ms. Saarah Asad, Ms. Aishwarya S
Vol 5, Issue 4 (April 2019) Computer Science

EVOLVING MACHINE LEARNING PARADIGM

Machine Learning Is One Of The Most Promising Artificial Intelligence Tools, Conceived To Support Smart Radio Terminals. Future Smart 5G Mobile Terminals Are Expected To Autonomously Access The Most Meritorious Spectral Bands With The Aid O...

Prof. Farhana Kausar, Ms. Chinmayi Bandargal, Mr.Joseph James
Vol 5, Issue 4 (April 2019) Computer Science Engineering

USING DATA MINING TO PREDICT HOSPITAL ADMISSIONS FROM EMERGENCY DEPARTMENT

Crowding Within Emergency Departments (EDs) Can Have Significant Negative Consequences For Patients. EDs Therefore Need To Explore The Use Of Innovative Methods To Improve Patient Flow And Prevent Overcrowding. One Potential Method Is The U...

Ashwini M, Swathi S, Rajendra M
Vol 5, Issue 4 (April 2019) Computer Science And Engineering

ANALYSIS OF INDIVIDUALS VULNERABLE TO SUBSTANCE ADDICTION LEADING TO MENTAL ILLNESS: A REVIEW OF MACHINE LEARNING APPROACH

Substance Abuse Leading To Addiction Especially Among Our Youth Population Has Become One Of The Major Problem In Our Society. The Initiation Of Their Addiction In Most Cases Starts From The Age Of 15 To 19 While They Are In Their High Scho...

Bijoy Chettri, Lekh Nath Chettri, Devashish Sharma, Sudarshan Lawati
Vol 5, Issue 4 (April 2019) Computer Science Engineering

DISEASE PREDICTION BY MACHINE LEARNING

Prediction Of Disease By Healthcare Communities Requires Accurate Analysis Of Medical Data . With Big Data Growth In Biomedical And Healthcare Communities, Accurate Analysis Of Medical Data Benefits Early Disease Detection, Patient Care, An...

Alka Sinha
Vol 5, Issue 4 (April 2019) Computer Science Engineering

ANALYSIS OF CHRONIC DISEASE PREDICTION USING BIG DATA OVER CLOUD BASED IOT

Internet Of Things And Big Data Has Emerged With Massive Amount Of Data Which Making An Elegant Relation Among Those Data In Various Fields And A Cloud Data Management, Plays A Vital Role In This Modern Hasty World. Physical Health And Ment...

S.Yamuna Devi, B.Keerthana, K.Moorthi
Vol 5, Issue 4 (April 2019) Computer Science And Engineering

MACHINE LEARNING CLASSIFIER TO DETECT MALICIOUS WEBSITES

A Risk That Exists In Web Is That The Access Of Websites With Malicious Content, As A Result Of They Might Be Open Doors For Cyber-crimes Or Be The Mechanism To Transfer Files So As To Have An Effect On Organizations, Persons And Therefore...

Gurunatha Srinivasa Bhatta, Sathisha G
Vol 5, Issue 4 (April 2019) Computer Science & Engineering

STUDY OF MACHINE LEARNING SURVEY

This Paper Describes A Survey Of Machine Learning. Machine Learning Is Wherever A Computing System Is Fed Massive Amounts Of Information, That It Then Uses To Find Out A Way To Perform A Particular Task, Like Understanding Speech Or Caption...

P.Praveen Kumar, L.Ponni, R.Srilakshmidevi

DRIVERLESS CAR USING MACHINE LEARNING – A REVIEW

Autonomous Driving Has Been A Big Fuss Among Companies Because Of The Entanglement Of The Problem Which Has Endless Applications. Companies Like Google, Tesla And Uber Have Applied Algorithms To Commercial Cars And Had Some Success. These A...

Shridhar J A, Shubhamangala K, Smruthi P, Swathi P, Poornima B
Vol 5, Issue 3 (March 2019) Computer Science And Engineering

PREDICTIVE AND PREVENTIVE MODELS FOR DIABETES PREVENTION USING HUMAN DAILY ACTIVITY RECORD

Diabetes Mellitus Or Diabetes Has Been Portrayed As Worse Than Other Disease. It Develops When There Are High Blood Sugar Levels Over A Prolonged Period. Recently, It Has Been Quoted As A Risk Factor For Developing Alzheimer, And A Leading...

Vol 5, Issue 3 (March 2019) Computer Science & Engineering

MACHINE LEARNING BASED FAST ANGULAR PREDICTION IN VIDEO CODING

The Aim Of This Project Is To Present A Unified Framework For Human Action And Activity Recognition.This Is Used To Estimate An Intra-prediction Mode From A Prediction Unit And To Reduce Encoding Time Significantly By Avoiding The Intensive...

Natarajan, A, Saravanan, M, Sargunam, T, Baskar, A
Vol 5, Issue 3 (March 2019) Computer Science And Engineering

ONLINE ADAPTIVE QUESTIONNAIRE

Paper Deals With 3-Tier Architecture, Of Which The Core Mainly Constitutes The Business Logic .e. Efficient Algorithms And Data Structures. The Idea Behind The System Came When It’s Been Seen That Many Existing Platform Like Hacker...

Ashibba sithara.N , Pratima, R.Aparna, R.K.Kapilavani

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