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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...
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...
A Review On Machine Learning And Deep Learning Models For Predicting Workload In Cloud Platforms
Cloud Computing Has Become The Backbone Of Modern IT Infrastructure, Enabling Elastic Resource Provisioning And Pay-as-you-go Models. As Enterprises Migrate More Workloads To The Cloud, The Challenge Of Predicting Workload Demand And Managi...
A Comprehensive Review And Taxonomy On Image Encryption Techniques
Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats On...
A Comprehensive Survey on Image Encryption Employing Chaos and Transform Domain Data Embedding
Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats On...
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...
A DEEP NEURAL NETWORKS ASSISTED CHANNEL ESTIMATION AND DECODING FOR MIMO SYSTEMS
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...
A REVIEW ON PREDICTION OF AGRARIAN YIELD THROUGH MACHINE LEARNING
Crop Yield Prediction Is A Critically Important Forecasting Problem Trying To Address Food Security In The World. This Is A Crucial AI Based Application Where The Previous Crop Yield Is Used To Train A Machine Learning Model And Then The Fu...
BER IMPROVEMENT IN RAYLEIGH FADING CHANNEL USING MIMO
Unlike Wired Communication, Wireless Communication Suffers With Multipath Propagation Of Transmitted Signal Which Results In Very High Bit-Error-Rate (BER) Ultimately Poor Communication Quality. Besides, Wireless Communication Also Has The...
A COMPREHENSIVE SURVEY ON ESTIMATING CROP YIELDS BASED ON MACHINE LEARNING
Crop Yield Prediction Is A Critically Important Forecasting Problem Trying To Address Food Security In The World. This Is A Crucial AI Based Application Where The Previous Crop Yield Is Used To Train A Machine Learning Model And Then The Fu...
AIR QUALITY INDEX PREDICTION USING MACHINE LEARNING
For Human Life In Earth, Air Plays An Important Role, But In Recent Times The Standard Of Air Has Been Compromised By Economic Activities, Geographical Factors, Industrial Parameters And Prolonged Consumption Of Non-renewable Sources Of Ene...
EXAMINATION AND STUDY OF K-MEANS CLUSTERING ALGORITHM
Investigation Of This Paper Depicts The Conduct Of K-implies Calculation. Through This Paper We Have Attempt To Conquer The Impediments Of K-implies Calculation By Proposed Calculation. Fundamentally Genuine K-mean Calculation Takes Parcel...
A SURVEY AND TAXONOMY ON OFDM CHANNEL ESTIMATION
Orthogonal Frequency Division Multiplexing (OFDM) Has Emerged As A Key Enabler In High Speed Data Transmission. The Term Channel Estimation Means Finding Out A Mathematical Relation Regarding The Transformation Caused By The Channel On The...
IMPROVED VSSLMS ALGORITHM FOR NOISE CANCELLATION USING ADAPTIVE WEIGHT UPDATION AND IT’S PERFORMANCE EVALUATION
In This Paper, A Novel Algorithm For Cancelling Noise From The Speech Signal Is Proposed. Least Mean Square (LMS) Adaptive Noise Cancellers Are Widely Used To Recover Signal Corrupted By Additive Noise Due To Its Simplicity In Impleme...
MULTI USER DETECTION IN MULTI CARRIER- DIRECT SEQUENCE CODE DIVISION MULTIPLE ACCESS (DS-CDMA) SYSTEM
Wireless Transmissions Are Affected By Non-ideal Channel Conditions, Including Multipath Fading And Multipleaccess Interference (MAI). To Alleviate The Effects Of Such Conditions, Several Approaches That Are Designed To Improve Syste...