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Papers tagged with "Means"
KIDNEY STONE DETECTION USING DEEP LEARNING
Kidney Stones Are A Common Complaint Worldwide, Causing Many People To Admit To Emergency Rooms With Severe Pain. Various Imaging Techniques Are Used For The Diagnosis Of Kidney Stone Disease. Specialists Are Needed For The Interpretation A...
IMPLEMENTING BOOK RECOMMENDATION USING MACHINE LEARNING
In Private Publication Agencies There Are Several Dishonest Publishers.To Detect Dishonest Publishers There Are Several Techniques Were Used. These Techniques Have Less Efficiency And Low Security. Hence We Propose A Diffpart-differen...
DETECTING GROUP SHILLING ATTACKS IN ONLINE RECOMMENDER SYSTEMS BASED ON BISECTING K-MEANS CLUSTERING
Existing Shilling Attack Detection Approaches Focus Mainly On Identifying Individual Attackers In Online Recommender Systems And Rarely Address The Detection Of Group Shilling Attacks In Which A Group Of Attackers Colludes To Bias The Outpu...
FMRI BUG DATA ANALYTICS USING MACHINE LEARNING
Brain MRI Classification Is An Essential Task In Many Clinical Applications Because It Influences The Outcome Of The Entire Analysis. This Is Because Different Processing Steps Rely On Accurate Segmentation Of Anatomical Regions. Enormous P...
DETERMINATION OF OPTIMAL ROUTING PATH IN WIRELESS SENSOR NETWORK USINGIN ENERGY AWARE ROUTING PROTOCOL
Wireless Sensor Networks (WSNs) Provide Tremendous Benefit For Many Industries. Having The Flexibility To Add Distant Sensing Stations Is A Huge Plus. It Emphasizes The Necessity Of Low-cost Running Wires, Which Provide Several Benefits Suc...
FITORBIT-SOCIAL NETWORKING FITNESS APP
Over The Years The Fitness Level Of People Of All Ages Has Dropped Heavily, While The Usage Of Social Media Apps Has Increased Exponentially. In This Paper We Discuss And Provide A Solution Considering Both The Aspects And Present Our App F...
EXAMINATION AND STUDY OF K-MEANS CLUSTERING ALGORITHM
Investigation Of This Paper Depicts The Conduct Of K-implies Calculation. Through This Paper We Have Attempt To Conquer The Impediments Of K-implies Calculation By Proposed Calculation. Fundamentally Genuine K-mean Calculation Takes Parcel...
PRODUCT RECOMMENDATION ENGINE USING K MEANS CLUSTERING & COLLABORATIVE FILTERING
In This Day And Age Of Information Overload, It Is Getting More Difficult For The Typical User To Navigate Through The Vast Quantity Of Accessible Material And Discover What They Need. To Assist Consumers Identify The Most Relevant Informat...
DETECTION AND SEGMENTATION OF BRAIN TUMORS AND COMPARING RESULTS FOR VARIOUS SEGMENTATION TECHNIQUES
Formation Of Abnormal Cell Groups In Our Brain Affect The Normal Functioning Of The Person. If Proper And Timely Treatment Is Not Given, This Can Turn Out To Be Fatal. However, It Can Be Avoided With Timely Detection And Treatment With Medi...
ROAD SIGN RECOGNITION SYSTEM FOR THE SMART CAR USING MACHINE LEARNING
Road Sign Recognition Is One Of The Important Tasks Of Intelligent Transportation Systems (ITS). The Research Aims At Implementation Of Road Sign Detection And Control Of An Autonomous Vehicle Using K-Means Clustering Algorithm. In This Pro...
FITORBIT-SOCIAL NETWORKING FITNESS APP
Over The Years The Fitness Level Of People Of All Ages Has Dropped Heavily, While The Usage Of Social Media Apps Has Increased Exponentially. In This Paper We Discuss And Provide A Solution Considering Both The Aspects And Present Our App...
EXPERIMENTAL APPROACH OF K-MEANS CLUSTERING
Clustering Is The Process Of Grouping Data Elements Based On Some Characteristics Of Relationship Between The Elements In The Group. Clustering Has Various Applications Such As Data Firmness, Data Mining, Pattern Recognition, Machine Learni...
EXTRACTION OF STRUCTURAL AND TEXTURAL FEATURES BY K-MEANS CLUSTERING FOR THE DETECTION OF SKIN DISEASES
Melanoma Is A Type Of Cancer That Mostly Starts In Pigment Cells (melanocytes) In The Skin. While Curable With Early Detection, Only Highly Trained Specialists Are Capable Of Accurately Recognizing The Disease. As Expertise Is In Limited Su...
K-MEANS CLUSTERING ALGORITHM TO REDUCE EMPTY CLUSTERS
Data Mining Is Defined As A Process Used To Extract Usable Data From A Larger Set Of Any Raw Data. It Implies Analysing Data Patterns In Large Batches Of Data Using One Or More Software. Data Mining Has Applications In Multiple Fields, Like...
A NEW APPROACH FOR SMART HEALTH PREDICTION USING DATA MINING TECHNIQUES
Data Mining Is One Of The Most Propelling Territories Of Research That Is Gotten Progressively Well Known In Health Association. Health Care Industry Creates A Lot Of Complex Data About Patients, Emergency Clinics Assets, Ailments, Finding...