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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...
A Proactive Machine Learning Based Neural-Chaos Architecture For Physical Layer Security Through PAPR Reduction
Proactive Physical Layer Security Has Evolved With The Emergence Of Web 3.0 Which Shifts Control From Centralized Cloud Servers Toward Distributed Edge Nodes, Blockchain Miners/validators, And Peer-to-peer Communication. Many Of These Nodes...
A Deep Learning Approach For Predicting Crypto Currency Prices Trends
Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...
An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data
Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
Forensic Detection Of Toxic Chatbots, Deepfakes, And Automated Harmful Interactions: A State-of-the-Art Review
The Rapid Expansion Of Generative AI (GenAI) Technologies Has Enabled Unprecedented Synthesised Media And Sophisticated Automated Systems. The Existence Of Advanced Deepfake Technology, Generative Large Language Models (LLMs) That Can Produ...
Experimental Investigation On The Synergistic Stabilization Of Expansive Soil Using Calcium Chloride And Shredded Rubber Mulch
Expansive Soils, Commonly Referred To As Black Cotton Soils In India, Present Significant Geotechnical Challenges Because They Undergo Swelling When They Absorb Moisture And Shrink Upon Drying. This Repeated Cycle Of Expansion And Contracti...
A Review On Machine Learning And Deep Learning Models For Pest Detection For Precision Agriculture Applications
Agriculture Constantly Faces Various Challenges Including Attacks From New Pests And Insects. Often, With Large Farm Sizes And Plummeting Manpower In The Agricultural Sector, It Becomes Challenging To Continuously Monitor Crops For Pest Inf...
A Review Of Structure–Activity Relationship, Mechanism Of Action And Therapeutic Benefits Of Selected Newer Antiepileptic Drugs
Epilepsy Is A Chronic Neurological Disorder Characterized By Recurrent, Unprovoked Seizures Resulting From Abnormal Electrical Activity In The Brain. Despite The Availability Of Conventional Antiepileptic Drugs, Treatment Limitations Such A...
EXPOAIR: Environmental Exposure Prediction & Observation For Air Intelligence And Reporting
EXPOAIR (Environmental EXposure Prediction & Observation For Air Intelligence And Reporting) Is An Intelligent Air Quality Monitoring And Prediction Platform Developed To Provide Real-time Environmental Awareness And Personalized Exposure I...
Forecasting Customer Turnover Using Machine Learning
Customer Churn Prediction Is An Essential Task For Telecommunication Companies To Reduce Customer Loss And Improve Retention.A Machine Learning System Is Proposed In This Paper To Predict Customer Churn By Using Customer Usage History. Fron...
Physical Violence Detection Using Key Framing
The Physical Violence Detection Using Key Framing App Is An AI-based Android Application Designed To Detect Violent Activities From Video Footage Using Intelligent Frame Analysis. The System Focuses On Identifying Suspicious Physical Action...
Transformer Winding Alert And Temperature Control Hub
T-WATCH (Transformer Winding Alert Temperature Control Hub) Is An IoT-based Transformer Monitoring And Control System Designed To Improve Reliability, Safety, And Operational Efficiency. The System Uses A NodeMCU ESP32s To Continuously Moni...
SMART TOUCH-BASED ASSISTIVE COMMUNICATION GLOVE FOR SPEECH-IMPAIRED PATIENTS
This Project Presents A Modified And Improved Version Of A Wearable Communication Glove Designed For Speech-impaired Individuals. An Existing Gesture-glove Concept Was Analyzed And Redesigned To Improve Reliability, Usability, And Healthcar...
Intelligent Learning Outcome Prediction Using Machine Learning Techniques
Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...