P.Senthil varagupadi is an scientist and professor of the Colleges. He is also a Researcher specializing in new Computer Technology , and writes in the English language.

Science publications

Ganeshaiah is a prolific scientific author. He has

published 87 scientific papers
edited 5 books
authored 3 distinct works of literature
contributed 8 chapters to other books
published 14 papers in various meeting proceedings
prepared 11 reference CDs
authored 13 popular articles

Education

M.Phil. Kurinji college of arts & science affiliate University of Bharathidasan , Tiruchirappalli, India, 2014
M.Sc. (Information Technology),Kurinji college of arts & science affiliate University of Bharathidasan , Tiruchirappalli, India, 2012
B.Sc (Information Technology), University of Bharathiyar University, Coimbatore, India.

=Research Papers

Prof P.Senthil
Prof P.Senthil
Born	P.Senthil; Varagupadi(varagubady) Perambalur District, Tamil Nadu, India
Occupation	Researcher,Professor,scientist
Nationality	Indian
Genre	Computer Science and Technology research

Brain Tumors Frequency Image Mining Used Detection Time Technique in Medical Images
Image Mining in Tumor Detection in Brain using Sushisen in Arima Model
IMAGE MINING CLASSIFICATION MRI SCAN USED BRAIN TUMOR ANALYSIS (IMICLA)
IMAGE MINING USED SEGMENTATION TECHNIQUE MRI SCAN BRAIN TUMOR IMAGES ANALYSIS (IMUSA)
Image Mining Using Attribute Supported Brain Tumor Synthesis by DWT (MRI Relevance)
Discovery of Image Mining used Brain Tumor using Improve Accuracy and Time (ANGIOGRAPHY)
Predictive Model Technique of Maximum Possibility for Point Estimation Association Rules in Market Basket
Multilayer Based Network Monitoring Application Layer in CAMA algorithms
FEATURE EXTRACTING GAIT TO ACKNOWLEDGE ILLNESS SHISUSEN ALGORITHMS EXPLOITATION MULTILAYERED BACK PROPAGATION
Graphics in Combination Handguns Preparation Classification (Gaps)
FOURIER TRANSFORM BASED CLASSIFICATION ABORIGINAL ALGORITHM
Evolutionary Algorithms Techniques Based on MET Heuristics of Accustomed Computing Performance
Inheritance Classification Based Artificial Reproduction Analysis and Artificial Neural Networks (Icarus)
Cancer Detection Cancer and Classification Radiotherapy Treatment
Templaste and Inasu algorithms using Medical images Analysis
Image Mining Segmentation Adaboost Glioma Prevents Progression to High Grade Glioma Accuracy(Imsaga)
IMAGE MINING USING DISEASE ACCURACY ANALYSIS (Muda)
EXPOSURE WITH CREDENTIALS OF BRAIN TUMOR USING IMAGE MINING MICCAI PERFORMANCE (MELANOMA)
Image Mining in Fuzzy Model Approaches Based Random walker algorithm Brain Tumor Analysis (Meningioma Analysis)
Image Mining Base Level Set Segmentation Stages To Provide An Accurate Brain Tumor Detection
An Improved Gradient Boosted Algorithms Based Solutions Predictive Model (Trade)
IMAGE MINING EFFECT USING GAUSSIAN SMOOTH IN BRAIN TUMOR INCREASING THE SEGMENTING ACCURACY (IMENINGIOMA)
Image Mining Automata Based Seeded Tumor CT axonomy Algorithm for Segmentation of Brain Tumors on MR Images (BITA)
ECG Signals Application Automated Apprehension and Allocation of Cardiovascular Abnormalities
Image Mining In ranking Approach under Interval Valued Hesitant Fuzzy Set Gr Selection
Image Mining Brain Tumor Detection using Tad Plane Volume Rendering from MRI (IBITA)
Enhanced of Image Mining Techniques the Classification Brain Tumor Accuracy (ENCEPHALON)
ENHANCED BIG DATA CLASSIFICATION SUSHISEN ALGORITHMS TECHNIQUES IN HADOOP CLUSTER (META)
Image Mining Using Lipomatous Ependymoma on Weighted Image Find Brain Tumor (Allin One)
Medicine Neural Networks Control Mind of Memory in Image Processing (MenNetMind)