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Papers tagged with "Algorithm"
SECUREGUARD: ROBUST SPAM DETECTION WITH SVM ALGORITHM FOR ENHANCED EMAIL FILTERING
"Secure Guard: Robust Spam Detection With SVM Algorithm For Enhanced Email Filtering" Appears To Be A Title Describing A System Or Method For Improving Email Filtering Through The Use Of A Support Vector Machine (SVM) Algorithm. Secure Guar...
ENHANCING EXAM HALL SEATING ARRANGEMENT WITH AN AUTOMATED SYSTEM FOR OPTIMAL EFFICIENCY
The Exam Hall Seating Management System Is An Online Platform Designed Specifically For Colleges To Streamline The Process Of Examination Hall Allotment And Seating Arrangement. By Offering Easy Access To Examination Information For Individ...
RECOMMENDATIONS FOR MUSIC BASED ON FACIAL MICRO EXPRESSIONS
FER2013 Dataset, Achieving A Recognition Rate Of 62.1%. Following Expression Identification, A Content-based Music Recommendation Algorithm Extracts Song Feature Vectors, With Music Suggestions Generated Using A Cosine Similarity Algorithm....
GEO ENRICHED EXPLORATION AND AMENITY CLUSTERING FOR HOMESEEKERS AND BUSINESS
For Home Seekers And Businesses, Geo-enriched Exploration And Amenities Clustering Could Revolutionize The Way They Discover New Places To Live. Using K-Means Clustering Algorithm, We Present A Machine Learning-based Solution For Grouping A...
CLASSIFICATION OF CARDIOVASCULAR COMPLICATIONS IN A DIABETES PREDICTION MODEL USING HYBRID NEURAL NETWORK ALGORITHMS
Diabetes And Heart Diseases Are Widespread Health Issues Around The World. The Prevalence Of Heart Disease Varies By Region, But It Affects People Of All Ages, Genders, And Backgrounds. The Main Risk Factors For Heart Disease Include High B...
CLASSIFICATION OF SOCIETAL SENTIMENTS AND ITS DOMAIN BY MACHINE LEARNING TECHNIQUES
In The Current Digital Era, Social Media And Online Platforms Have Developed Into Effective Means For People To Voice Their Thoughts, Feelings, And Opinions Regarding A Range Of Societal Issues. Enhancing Decision-making Processes, Promotin...
COMBINING CLOUD SIDE AND OWNER SIDE ACCESS CONTROL FOR ENCRYPTED DATA STORAGE
While Acknowledging The Vast Potential Of Cloud Computing, There Remains A Persistent Concern Regarding The Complete Trustworthiness Of Cloud Service Providers With Sensitive Data, Primarily Due To The Absence Of Effective User-to-cloud Con...
CROPVISTA: PRECISION CROP RECOMMENDATION USING PYTHON AND ML
Agriculture Is The One Amongst The Substantial Area Of Interest To Society Since A Large Portion Of Food Is Produced By Them. Agriculture Is The Most Important Sector That Influences The Economy Of India. Predicting Crop Yield Based On The...
UNVEILING MENTAL HEALTH DISORDERS THROUGH MACHINE LEARNING TECHNIQUE
Mental Health Disorders Remain A Significant Global Concern, Posing Challenges In Their Identification. Recent Years Have Witnessed Substantial Progress In The Field, Driven By Advancements In Diagnostic Techniques And Computational Methodo...
ENHANCING DDOS ATTACK DETECTION IN SDN ENVIRONMENTS USING GRU
Distributed Denial Of Service (DDOS) Attacks Continue To Pose A Serious Threat To Internet Security, Aiming To Render Specific Systems Or Networks Inaccessible. Detecting Diverse Types Of DDOS Cyber Attackss With Improved Algorithms While M...
E-COMMERCE CUSTOMER CHURN ANALYSIS USING HYPER PARAMETERED TREE ALGORITHM
In This Study, We Employ The AdaBoost Algorithm In Conjunction With GridSearchCV To Analyze Customer Churn In E-commerce. AdaBoost Is A Boosting Algorithm That Combines Multiple Weak Learners To Create A Strong Predictive Model. GridSearchC...
CREATE GOOGLE SITELINK FOR GOOGLE SEARCH ADS USING ARTIFICIAL INTELLIGENCE AND AUTOMATION
Information And Communication Technology (ICT) And The Advent Of E-commerce Have Left A Profound Imprint On Various Facets Of The Economy, Driving Growth, Fostering Job Opportunities, And Enhancing Efficiency. These Online Ads Are Mainly In...
AN ANALAYSIS OF DISEASE PREDICTION ALGORITHMS
The Aim Of Using Machine Learning Algorithms For Disease Prediction Is To Immensely Help To Solve Health-related Problems By Assisting Physicians In Predicting And Diagnosing Diseases In An Early Phase. The Disease Prediction Methodology Is...
ANALYSIS ON MACHINE LEARNING ALGORITHMS
The Study Of Algorithms And Statistical Models That Computer Systems Employ To Carry Out A Particular Task Without Being Explicitly Taught Is Known As Machine Learning (ML). There Are Several Daily-used Programmes That Incorporate Learning...
CANCER PREDICTION USING NAIVE BAYES THEOREM
Cancer Prediction Plays A Crucial Role In Improving Patient Outcomes By Enabling Early Diagnosis And Intervention. This Study Presents A Novel Approach To Cancer Prediction Using The Naive Bayes Algorithm, A Well-established Probabilistic C...