Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Pso"
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....
Intelligent Wild Animal Detection And Adaptive Risk Alert System Using Yolov8 And Deepsort
Human–wildlife Conflict Is A Growing Global Concern As Expanding Human Settlements Encroach Upon Natural Habitats. Traditional Wildlife Monitoring Methods—manual Patrols And Passive Camera Traps—suffer From Delayed Response, Limited Scalabi...
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...
Optimal Routing in Wireless Sensor Network for Enhancing Network Lifetime and Reduced Latency
Several Real Life Applications In Wireless Networks As Well As IoT Rely On Routing Of Wireless Sensor Networks. However, They Face The Invariable Challenge Of Limited Energy Resources Which Makes It Critical To Design Data Transfer Mechanis...
MORPHOMETRIC ANALYSIS APPLYING WEIGHTED SUM APPROACH FOR PRIORITIZATION OF SUB WATERSHEDS : A CASE STUDY OF BIRMA RIVER BASIN
Birma, A Downstream Tributary Of Betwa River Has Been Elected For Quantitative Morphometric Analysis Of Ten Major Sub-watersheds (S1-S10). The Birma Watershed (BW) And Its Sub-watersheds Were Subjected To A Detailed Morphometric Analysis Us...
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...
AN EFFECTIVENESS OF HOT WATER APPLICATION WITH EPSOM SALT ON JOINT PAIN AMONG ELDERLY WOMEN AT SELECTED RURAL AREA AT PUDUKKOTTAI DISTRICT
A Quasi Experimental Research Design Was Conducted Among Elderly Women At Selected Rural Area At Pudukkottai.It Aims To Evaluate The Effectiveness Of Hot Water Application With Epsom Salt On Joint Pain Among Elderly Women In Experimental G...
PBFO:AN ENHANCEMENT IN DIGITAL WATERMARKING IMAGE USING HYBRID APPROACH
Digital Watermarking Is A Technique Used For Concealing Knowledge About Ownership Of Digital Media. Multimedia Copyrights Such As Video,audio, Text, Etc. Were Secured By Watermarking Strategies. For Locations,sizes, Dating, Mill Marks, And...
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...
A Theoretical Review of Soft Computing Techniques Used In Complex Problems
Recently New Technique Is Available For Computation Known As Soft Computing. Soft Computing Is Based On Natural As Well As Artificial Ideas. Soft Computing Techniques Are Fuzzy Logic, Neural Network, Support Vector Machines, Evolutionary Co...
A MULTI-OBJECTIVE ASSOCIATION RULE MINING WITH HYBRID APPROACH
Association Rule Mining (ARM) Is One Of The Most Well-liked Techniques Of Data Mining Strategies Whose Primary Aim Is To Extract Associations Rule Among Sets Of Items Or Products In Transactional Databases.Association Rule Mining Involves A...
CLUSTERING ANALYSIS OF HETEROGENEOUS DATA USING HYBRID CLUSTERING ALGORITHMS
In The Present Digital Scenario There Is An Overwhelming Increase In Data, With The Increase In Data It Is Urgent To Develop An Effective And Efficient Approach To Handle And Cluster These Data For Further Analysis. This Paper Includes Hybr...