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Papers tagged with "Cu"
Hybrid Cryptographic Techniques For Secure Cloud Data Storage: A Review Of Algorithms, Architectures And Open Research Challenges
The Migration Of Institutional Record Keeping To Third-party Cloud Infrastructure Has Made Cryptographic Protection The Principal Instrument Through Which Data Owners Retain Control Over Information They No Longer Physically Possess. Becaus...
Embedded-Based Pest Detection And Prevention System For Smart Agriculture
Agricultural Productivity Is Significantly Affected By Pest Infestations, Leading To Substantial Crop Losses And Increased Dependence On Chemical Pesticides. Early Detection And Timely Prevention Of Pests Are Essential For Improving Crop Yi...
AR-IOT FRAMEWORK FOR PREVENTING VEHICLE DEPREDATION
With The Rapid Rise In Automobile Thefts Driven By Inadequate Residential Parking And A Lack Of Sophisticated Security Systems, Enhancing Vehicle Safety Has Become Paramount. This Paper Presents An Advanced, Multi-tiered Vehicle Security Sy...
Andrographis Paniculata: Phytochemistry, Pharmacological Activities, Cardioprotective Potential, And Recent Advances
Traditional Herbal Medicines Remain An Important Source Of Healthcare, Particularly In Developing Countries. This Study Evaluated The Cardioprotective Effect Of An Aqueous Extract Of Andrographis Paniculata Against Dichlorvos-induced Cardia...
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...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
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...
Data Centers: Challenges & Solutions
Data Centers Constitute The Foundational Infrastructure Of The Modern Digital Economy, Supporting Cloud Computing, Artificial Intelligence, And Global Telecommunications. This Paper Presents A Comprehensive Examination Of Data Center Techno...
Unlocking Potential Merits Of Multidisciplinary Curriculum Design In Primary Education: An Holistic Approach Towards Curious Budding Minds
The Integration Of A Multidisciplinary Curriculum In Primary Education Holds Transformative Potential In Nurturing Curious, Creative, And Critically Thinking Young Learners. This Study Explores The Merits Of A Holistic, Interdisciplinary Ap...
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...
Adaptive Lightweight Encryption-Based Secure UART Architecture For IoT Devices
The Rapid Growth Of IoT Applications Requires Secure, Energy-efficient, And Reliable Communication For Resource-constrained Devices. UART Is Widely Used In IoT Systems Due To Its Simplicity And Low Hardware Cost, But Conventional Secure UAR...
Enhanced Decentralised Cybersecurity For Medical Data Sharing Using Digital Signature
N Infrastructure Build In The Edge Computing Platform Which Is Reliable To Challenge The Commercial And Non-commercial IT Development Communities Of Data Streams In High Dimensional Data Cluster Modeling. This Project Research Is Mainly F...
An Optimized Neuro Fuzzy System For Predictive Maintenance For Smart Manufacturing Systems
Smart Manufacturing Systems Represent The Modern Evolution Of Industrial Automation Where Machines, Sensors, Communication Technologies, And Intelligent Algorithms Work Together To Improve Productivity And Operational Efficiency. Industries...
Analysing Structural Failure Of Bridges Employing Bridge Parameters And Stochastic Modelling
Structural Failure In Pertaining To Bridges Is Extremely Challenging To Assess.. Stochastic And Statistical Computing Is Being Explored To Derive Conclusive Decisions Where Human Intervention Is Difficult In Time And Resource Constrained Si...