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Papers tagged with "Error"
Design And FPGA Implementation Of A Secure UART Architecture Integrating AES-128 Encryption And SECDED Error Correction
This Paper Presents An FPGA-oriented Secure UART Architecture Combining AES-128 Confidentiality With SECDED Protection Against Transmission Faults. Sixteen 8-bit Plaintext Bytes Are Buffered Into A 128-bit AES Block, Encrypted, And Protecte...
A Review On Machine Learning Enabled MIMO Systems For Capacity Enhancement In Wireless Networks
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwid...
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 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...
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
Copy-Move Image Forgery Detection Using SIFT Algorithm With Tampered Region Localization For Digital Image Authentication
The Rapid Proliferation Of Digital Content Creation Tools, Artificial Intelligence Platforms, And Advanced Image Editing Software Has Significantly Increased The Risk Of Digital Forgery In Images, Documents, And AI-generated Media. Traditio...
Design Of Spatially Coupled Turbo Codes For Error Detection And Correction In Wireless Networks
The Internet Of Things Framework Has Seen A Rapid Change In Terms Of The Applications And Users Worldwide. However, The Need For Trustworthiness To Satisfactory Quality Of Service Is Of Utmost Importance Keeping In Mind The Nature Of Data T...
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....
Hybrid Intelligence For Financial Forecasting Uniting LSTM With XG Boost
Predicting Price Of Any Stock Is Difficult To Achieve Because Of Volatility Of Market Conditions. In Fraction Of Seconds Markets Go Up And Down, Fluctuations And Mood Of The Investor These Makes Traditional Methods Less Accurate To Predict....
Design And Implementation Of Coupled Turbo Codes With Code Block Coupling For Error Detection And Correction In Wireless Networks
The Internet Of Things Framework Has Seen Swift Transformations Regarding Its Applications And Global User Base. The Necessity For Reliability In Ensuring Excellent Service Quality Is Paramount, Considering The Characteristics Of Data Trans...
Leveraging Machine Learning Based Channel Estimation For Security Of Software Defined Networks
Conventional Computer Networks Have Undergone A Paradigm Shift In Terms Of The Advent Of Wireless Pervasive Networks Such As IoT And Fog Networks. The Ease Of Mobility And Adaptive Configuration Enables Significant Ease Of Deployment And Us...
Design And Implementation Of Deep Learning Based MIMO Systems For Wireless Networks
Present Day Communication Systems Are Facing Some Critical Issues Which Are Increased Number Of Users, The Amount Of Bandwidth Availability To Be Used By The Users And The Need For Ever Increasing Data Rates. The Major Concern Regarding All...