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AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
Artificial Intelligence In Medicine
Artificial Intelligence (AI) Refers To The Creation Of Intelligent Behaviour In Computers With Minimal Human Intervention. The Concept Began With Early Robot Designs, Influenced By Da Vinci's Sketches. In 1956, AI Became Recognized As A For...
Integration Of Artificial Intelligence With Drone Technology For Enhanced Autonomy And Efficiency
The Integration Of Artificial Intelligence (AI) With Drone Technology Represents A Transformative Development Across Various Sectors, Including Agriculture, Logistics, Surveillance, And Environmental Monitoring. This Paper Explores The Pote...
Study Of Machine Learning
This Paper Represents A Novel Design And Control Architecture Of The Continuous Stirred Tank Reactor (CSTR) Based On Its Mathematical Equivalent Modeling Of The Physical System. The Plant Is Formed Analytically For The Normal Operating Cond...
Pioneering Cloud Technology And Advanced Security Protocols
The Rapid Adoption Of Cloud Computing Has Fundamentally Transformed Data Management, Offering Scalable, Cost-effective, And Highly Accessible Solutions For Organizations Worldwide. However, This Evolution Introduces A Range Of Security Chal...
Cybersecurity: Future Directions, Advances And Challenges
Cybersecurity Has Evolved Into A Cornerstone For Protecting Digital Infrastructures, Sensitive Data, And Personal Privacy. This Research Paper Investigates The Shifting Paradigms Of Cybersecurity, Analyzing Current And Emerging Threats, Adv...
Big Data With AI: Enhancing Insights And Decision-Making
The Convergence Of Big Data And Artificial Intelligence (AI) Is Reshaping Industries By Enabling Advanced Analytics, Automation, And Data-driven Decision-making. This Paper Explores The Synergy Between Big Data And AI, Their Applications, B...
Harnessing the Power of Learning Analytics with Moodle: Transforming Educational Insights
Learning Analytics (LA) Is The Collection, Analysis, And Interpretation Of Data Related To Learners And Their Interactions Within Educational Environments. This Field Leverages Data To Enhance Learning Outcomes, Optimize Teaching Methods, A...
Log Analysis – Securing Log & Error Mitigation Using AI
This Journal Paper Introduces A New Method For Analyzing Error Codes And Identifying Sensitive Information In System Logs Using Artificial Intelligence (AI) Methods. The Focus Is On A Particular Aspect Of Log Analysis, Where Error Logs From...
Personalized Healthcare Solutions: A web Application for Enhanced Patient Care and Remote Monitoring Using AI
Personalized Healthcare Approaches Are Shifting The Paradigms Of Patient Care Delivery Since It Depends On Individual Information For Treatment Planning And Health Monitoring Over Time. The Application Developed For Customized Healthcare So...
A Survey on Machine Learning Models for Solar Irradiation Prediction
Artificial Intelligence Is A Domain Of Computer Science Which Is Finding Its Applications In Almost All Domains Of Science And Technology. Due To Plummeting Non-renewable Reserve Of Resources To Produce Electricity, Renewable Resources Are...
A Review on Machine Learning and Deep Learning Models for Forecasting Crypto Trends
Crypto Price Prediction Is A Category Of Time Series Prediction Which Extremely Challenging Due To The Dependence Of Crypto Prices On Several Financial, Socioeconomic And Political Parameters Etc. Moreover, Small Inaccuracies In Crypto Pric...
Leveraging Digital Twins for Predictive Maintenance: Techniques, Challenges, and Application
Digital Twin (DT) Is A New Generation Technology Adopted In The Current Complex Industrial Systems With Improved Features As A Tool To Optimise Its Operations. DTs Help Generate Nearly Real-time Simulations Of An Actual Entity And Facilitat...
A smart artificial head with multimodal sensor suite
In Order To Replicate Human Perception And Interaction, Complex Sensory Capabilities Must Be Integrated Into Advanced Artificial Intelligence Systems. With The Goal Of Improving The Sensory And Cognitive Capabilities Of Robotic Systems, Thi...
A Deep Neural Network Based Automated Approach for Sentiment Analysis
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...