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Papers tagged with "Machine Learning"
Crop Recommendation System Using Random Forest And Pickle For Model Deployment
The Crop Recommendation System Uses Machine Learning To Analyze Historical And Seasonal Rainfall Data, Helping Farmers Select The Most Suitable Crops For Specific Regions. By Integrating Soil Properties, Weather Patterns, And Crop Needs, It...
Chronic Kidney Diseases Predications Using Machine Learning
Kidney Diseases Are An Increasingly Important Global Health Problem For Millions Of People A Year, For Which Early Detection And Accurate Prediction Play A Major Role In Improving Patient Outcomes And Reducing The Burden On Healthcare Syste...
Real Time Violence Detection System Using Deep Learning
The Growing Need For Public Safety Has Driven Demand For Automated Surveillance Systems That Detect Violent And Suspicious Behaviors In Real-time. Critical Locations Like Train Stations, Schools, And Hospitals Benefit From Systems That Can...
Machine Learning Approach For Accurate Stock Predication Using LSTM
Stock Price Prediction Is A Critical Task For Investors, Traders, And Financial Analysts To Make Informed Decisions. Traditional Statistical Methods Often Struggle To Capture The Complex, Non-linear Patterns And Long-term Dependencies Inher...
Business Intelligence Using Artificial Intelligence
Business Intelligence (BI) Has Revolutionized Decision-making In Organizations By Leveraging Data-driven Insights. The Integration Of Artificial Intelligence (AI) Into BI Enhances Data Processing, Predictive Analytics, And Automation, Enabl...
Exploring The Integration Of Machine Learning For Streamlined Database Administration: Current Trends And Future Directions
The Role Of Database Administrators (DBAs) Has Traditionally Been Rooted In Manual Operations Such As Backups, Performance Tuning, And Anomaly Detection. However, As Data Complexity Grows, Manual Management Becomes Inefficient, Increasing D...
A Review On Machine Learning Approaches For Heart Disease Classificaiton Using PCG Data
Heart Disease Or Cardiovascular Disease (CVD) Is The Leading Cause Of Death In The World. Around 17.9 Million People Die Prematurely Because Of Heart Disorders. Much Of The Deaths Occur In Low And Middle-income Countries [1]. CVD Relates To...
Handwriting And E-text Recognition With Sentiment And Emotion Analysis: A Hybrid Deep Learning Approach
Despite The Convenience Of Pen And Paper, Managing Handwritten Documents Remains Challenging Due To Issues With Storage, Retrieval, And Sharing. Handwriting-to-text Conversion (HTC) Addresses These Limitations By Transforming Handwritten Te...
Artificial Intelligence In Crew Scheduling: Revolutionizing Predictions And Automation
The Integration Of Artificial Intelligence (AI) Into Crew Scheduling Represents A Paradigm Shift In The Transportation And Logistics Sectors. By Automating Complex Decision-making Processes And Delivering Real-time Insights, AI Is Transform...
DEHAZING DESMOKING SYSTEM USING AL/ML
This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) An...
FloodScout: Machine Learning And Real-Time Geospatial Intelligence For Flood Hotspot Prediction And Disaster Resilience
Flood Hotspot Prediction Is Critical For Urban Resilience And Disaster Mitigation, Yet Existing Methodologies Often Lack Real-time Usability And Integration Of Advanced Geospatial Analytics. This Survey Paper Comprehensively Reviews State-...
SLEEP DISORDER PREDICTION USING MACHINE LEARNING
Sleep Disorders Affect Millions Worldwide, Leading To Significant Health Complications, Including Cardiovascular Diseases, Obesity, Cognitive Impairments, And Mental Health Disorders. Traditional Diagnostic Methods, Such As Polysomnography(...
A SURVEY ON NADI PARIKSHA IN INDIAN MEDICINAL SYSTEM USING MACHINE LEARNING TECHNIQUES
Nadi Pariksha, An Ancient Ayurvedic Pulse Diagnosis Technique, Is Gaining Renewed Interest Due To Advancements In Machine Learning (ML) And Artificial Intelligence (AI). This Paper Surveys The Integration Of ML Techniques With Nadi Pariksha...
T2S Based Social Media Bot Detection Using Machine Learning
Recently, Due To The Rapid Development Of Online Social Networks (OSNs) Such As Facebook, Twitter, And Weibo, The Number Of Calculators/social Bots That Imitate Human Users Has Increased. As Artificial Intelligence (AI) Improves, Social Bot...
Supershorts Repurpose Your Existing Blogs Into Video Powered By AI
Imagine Sitting Down With A Cup Of Coffee, Excited About Turning A Few Words And Images Into A Stunning Film. That's Exactly What AI In Video Production Is Making Possible Today. With Tools Like Remotion.js And Next.js, The Process Of Creat...