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Papers tagged with "Particle Swarm Optimization"
Power Quality Improvement In Distribution Systems Using A Unified Power Quality Conditioner Based On A PSO-Tuned Fractional Order PI Controller
The Increasing Penetration Of Nonlinear Loads, Power-electronic Converters And Intermittent Renewable Energy Sources Has Intensified Power Quality (PQ) Disturbances Such As Voltage Sag, Swell And Current Harmonics In Modern Distribution Net...
An Optimized Deep Learning Model For Churn Rate Prediction
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
An Optimized Machine Learning Model For Forecasting Traffic Speeds In Urban Environments
The Potential For Data Collecting And Analytics-based Intelligent Traffic Systems (ITS) To Improve Traffic Systems Is Now Being Investigation. Predicting How Fast Traffic Will Be Moving Is One Of The Most Important Uses For This Technology....
An Optimized Machine Learning Model For Pavement Condition Prediction
Pavement Condition Prediction Is An Essential Aspect Of Road Maintenance Planning, Ensuring The Safety, Efficiency, And Durability Of Transportation Infrastructure. Statistical Machine Learning (ML) Techniques Have Emerged As Powerful Tools...
Leveraging Machine Learning Based Regression Analysis To Estimate Customer Churn
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
HEART DISEASE PREDICTION USING DEEP LEARNING TECHNIQUES
The Term "heart Disease" Refers To Several Types Of Heart Conditions. The Most Common Type Of Heart Disease In The United States Is Coronary Artery Disease (CAD), Which Affects The Blood Flow To The Heart. Decreased Blood Flow Can Cause A H...
A QUALITATIVE REVIEW OF ARTIFICIAL INTELLIGENCE BASED MPPT TECHNIQUES
Artificial Intelligence (AI) Is Becoming Increasingly Popular In Many Areas, Including The Field Of Maximum Power Point Tracking (MPPT), Where It Is Used To Optimize The Power Output From A Photovoltaic (PV) System. There Are Several Method...
OPTIMIZATION OF PV ARRAY AND INVERTER PARAMETERS FOR GRID CONNECTED APPLICATIONS USING PARTICLE SWARM OPTIMIZATION
Renewable Energy Is The Energy Produced From Natural Resources Like Sunlight, Wind, Tides, Waves & Geothermal Heat. Solar Energy Is That Technology Of Obtaining Useful Energy From The Sun Solar Power Is Currently Employed In A Number Of App...
TASK SCHEDULING IN CLOUD PLATFORMS USING THE BAT-PSO HYBRID APPROACH
Task Scheduling Is The Process Of Assigning Tasks To Different Virtual Machines Over Cloud Based Servers With An Aim To Optimize The Resource Utilization For Cloud Based Platforms. Task Scheduling Is Generally A Complex Task Often Leading T...
OPTIMAL POWER FLOW ANALYSIS OF IEEE 30 BUS SYSTEM USING PSO AND GA TECHNIQUES
This Paper Focuses On Application Of Particle Swarm Optimization Techniques And Genetic Algorithm To IEEE 30 Bus System. Economic Operation And Planning Of Electric Power Generation System Has Always Been An Important Aspect In Electric Pow...
DELAY AND ENERGY MINIMIZATION IN WIRELESS SENSOR NETWORKS USING PARTICLE SWARM OPTIMIZATION AND OPTIMIZED TRANSMISSION
Wireless Sensor Networks (WSN) Have Several Applications In Large Scale Industries, Defense, Climate Monitoring, Automation, Medicine Etc. The Active Areas Of Research In WSNs Are Reducing The Energy Consumption And Delay In Data Transmissi...
An Overview of Artificial Intelligence: ANN PSO Approach
The Quality And Cost Of A Product Are Essential Parameters Which Attract The Clients. It Is Difficult To Achieve The Desired Quality At The Cheap Production Cost. Hence It Is Necessary To Use Qualitative Methods In Production Processes And...
COMBINED DETECTION OF RETINAL DISEASES, BRAIN TUMOUR AND LUNG CANCER USING IMAGE PROCESSING
In This Project, We Are Going To Integrate Three Detection Methods As Retinal Disease, Brain Tumor And Lung Cancer Into Single Processing Unit. Initially, Detection Of Diabetic Retinopathy By Using Blood Vessels Features From Retinal Fundus...
Intellectual Genetic Swarm Optimization Method For Software Reliability Growth Enhancement
Unwavering Quality Of Programming Constantly Identified With Programming Disappointments And Various Programming Dependability Development Models (PDDM) Have Been Proposed Recent Decades To Foresee Programming Unwavering Quality. Diverse At...