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Papers tagged with "Earning"
human emotion based music recommendation system using physiological sensors
This Report Is Intended To Present The Proposed Design And Implementation Of The “Human Emotion Based Music Recommendation System Using Physiological Sensor” System. The Proposed Design Is For A System That Will Import Human’s Real Time Emo...
EPILEPSY PREDICTION USING CONVOLUTIONAL NEURAL NETWORK
This Paper Represents A Novel Design And Control Architecture Of The Continuous Stirred Tank Reactor (CSTR) Based On Its Mathematical Equivalent Modeling Of The Physical System. The Plant Is Formed Analytically For The Normal Operating Cond...
AGRICULTURE PREDICTION USING MACHINE LEARNING
Agricultural Intelligent Decision System Has A Positive Practical Significance For Guiding Agricultural Production, Which Can Provide Scientific Basis For Agriculture.ML Technology Can Effectively Improve The Performance Of Intelligent Deci...
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,...
DEVANAGARI CHARACTER RECOGNITION USING CONVNET
Character Recognition Is One Of The Significant Ingredients In Most Of The Applications Developed These Days. In Day To Day Life, Mobile Phones Have Become An Indispensable Part Of Our Life. We Rely On Our Mobile Phones For Everything. As A...
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...
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...
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...
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...
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...
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...
PREDICTION OF PARKINSON’S DISEASE BASED ON MEDICAL IMAGING USING MULTI-TASK LEARNING
Parkinson’s Disease (PD) Is A Long-term Degenerative Disorder Of The Central Nervous System, With Symptoms Generally Appearing Slowly Over Time. Predicting The PD Disease Is Critical As Motor And Non-motor Manifestations Occur Many Years Af...
MACHINE LEARNING ALGORITHM FOR CLUSTERING AND GROUPING DATA
Clustering Is A Technique Which Is Commonly Known In The Domain Of Machine Learning As An Unsupervised Method,it Aims At Constructing From A Set Of Objects Some Differ-ent Groups Which Are As Homogeneous As Possible. On The Other Hand Suppo...
VIDEO ANALYSIS OF HUMAN POSE ESTIMATION USING DEEP NEURAL NETWORKS AND COMPUTER VISION APPROACHES AND ITS APPLICATIONS
Deep Architectures With Convolution Structure Have Been Found Highly Effective And Commonly Used In Computer Vision. With The Introduction Of Graphics Processing Unit (GPU) For General Purpose Issues, There Has Been An Increasing Attention...
CLASSIFICATION OF EMAIL USING NAÏVE BAYES AND HIDDDEN MARKOV MODEL ALGORITHM
This Project Investigates A Comparison Between 2 Completely Different Approaches For Classifying Emails Supported Their Classes. Naive Thomas Bayes And Hidden Markov Model (HMM).Two Completely Different Machine Learning Algorithms, Each Are...