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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...
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...
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...
CLUSTBIGFIM: MAPREDUCE CF FOR BIG DATA ITEMSET MINING
Frequent Itemset Mining (FIM) Is Essential For Discovering Patterns In Large-scale Data, But Traditional Algorithms Struggle With Big Data Volumes Due To Scalability Issues. ClustBigFIM Introduces A Hybrid MapReduce-based Framework That Int...
Atmospheric Scattering And Segmentation Based Foggy Image Enhancement
We Propose A Novel Foggy Image Enhancement Pipeline That Integrates An Improved Atmospheric Scattering Model (ASM) With Otsu-based Segmentation. The System First Converts The RGB Input To Grayscale, Then Applies Otsu’s Method To Segment Fog...
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...
SOLUTION TO CHALLENGES IN RECOMMENDATION SYSTEM
The WWW Or Web Has Changed How We Live And Interact. Today, We Use Online Search Engines And Other Internet Technologies To Find Relevant Information On Almost Any Subject. One Method To Overcome These Concerns Is Using A Recommender Sys...
Color image clustering based on over segmentation using superpixel
There Is A Great Number Increase In The Usage Of Image Segmentation In This Modern Computer Vision And AI World, Which Is Used In Many Applications Like Self-driving Cars, Early Detection Of Cancers, Robotics, Video Surveillance, Etc; As T...
Noise Removal In MR Images Using Non-Linear Filters
Images Are Imitations Of Real World Objects. Often An Image Is A Two Dimensional (2D) Signal F(x,y) Represent The Amplitude Or Intensity Of The Image. In The Transmission Of Images, They Are Corrupted By Salt And Pepper Noise, Due To Faulty...
RESTORATION AND ENHANCEMENT OF MULTI-ORIENTED TEXT DETECTION AND RECOGNITION FOR NATURAL IMAGES
Text Detection Has Been A Very Challenging Task For Natural Scene Images As The Text Can Be Multi-oriented And Can Be Of Different Fonts And Sizes. Text Detection Is The Process Of Extracting Text From An Image And Text Recognition Is The P...
COMPARATIVE STUDY OF VARIOUS FILTERS
Denoising Is Utilized To Expel The Noise From Debased Image, While Holding The Edges And Other Nitty Gritty Highlights However Much As Could Reasonably Be Expected. This Noise Gets Introduced During Acquisition, Transmission, Reception, Sto...
DE-NOISING OF IMAGE, USING COMBINATION OF ATMED AND ATMAV FILTERS WITH FUZZY LOGIC IN WAVELET TRANSFORM
In This Paper, A Image Denoising Method Based On The Wavelet Transform Are Proposed. The Wavelet Transform Is Used To Convert The Image To Wavelet Coefficients. Wavelet Transform Produce Approximation, Horizontal, Vertical And Diagonal With...