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Papers tagged with "Encoder"
Communication-Aware Adaptive Speed And Energy Control For A Low-Cost BLE Mobile Robot
Low-cost Bluetooth Low Energy (BLE) Robots Usually Execute The Last Received Command At A Fixed Duty Cycle, So Wheel-speed Error, Link Degradation, Obstacle Proximity And Energy Use Are Not Coordinated. This Paper Presents A Lightweight Com...
ML-Based Anomaly Detection In Healthcare Systems Using ESP32 Microcontroller
Continuous Monitoring Of Patient Vital Signs Through Wireless Body Area Networks (WBANs) Is Increasingly Central To Modern Healthcare, Yet Validating Anomaly-detection Pipelines On Real Hospital Networks Is Costly, Ethically Constrained, An...
Automatic Image Captioning System Using CNN-LSTM: A Deep Learning Approach
Automatic Image Captioning Is A Challenging Task At The Intersection Of Computer Vision And Natural Language Processing That Involves Generating Semantically Meaningful Textual Descriptions From Visual Input. This Paper Presents A Deep Lear...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
EPILEPTIC SEIZURE RISK ANALYSIS USING EEG SIGNALS
Epileptic Seizure Is A Sudden Neurological Event Caused By Abnormal Electrical Activity In The Human Brain. These Events Can Significantly Disrupt Patient Safety And Quality Of Life. Early Prediction Of Such Events Is Essential For Enabling...
CBIR: Enhancing Image Retrieval Through AutoEncoders And Metric-Based Search
The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For...
PRETRAINING-BASED NATURAL LANGUAGE GENERATION FOR TEXT SUMMARIZATION WITH MACHINE LEARNING
This Paper Presents A Novel Approach To Text Summarization Using Pretraining-based Natural Language Generation (NLG) With Machine Learning. Utilizing Transformer Models Like BERT And GPT, The Study Develops An Encoder-decoder Framework To G...
IMPLEMENTATION OF LOW POWER THERMOMETER CODE TO DIGITAL CONVERTER USING WALLACE TREE ENCODER
VLSI Architecture For A High Performance Low Power Thermometer Code To Digital Converter Using Wallace Tree Encoder Is Proposed In This Research. When Transforming Code Of Thermometer Type To Binary Type, WTE Is Utilized (analog To Digital...
A REVIEW ON IMAGE DENOISING FILTERING TECHNIQUES USING DEEP LEARNING
Image De-noising Is A Fundamental Task In Image Processing That Aims To Remove Noise From Images While Preserving Their Visual Quality. Noise Can Be Introduced Into Images Due To Various Factors Such As Low-light Conditions, Sensor Limitati...
APPLICATION OF DEEP LEARNING TO COMPUTER VISION : A STUDY
Gradually Traditional Machine Learning Algorithms Are Being Replaced With Deep Learning As It Exhibits Strong Advantages In The Feature Extraction, Thus Been Widely Used In The Field Of Computer Vision And Among Others. The Usability Of Com...
DESIGN AND DEVELOPMENT OF HIGH TECH SAFETY SMART HELMET
The Smart Helmet Is A Kind Of Protective Headgear Used By The Rider Which Makes Riding The Bike Much Safer Than Before. The Main Purpose Of This Helmet Is To Provide Safety To The Rider. This Can Be Implemented Using Advanced Features Such...
A LITERATURE SURVEY ON GOLAY CODES
The Current World Of Digital Communication Secure Data Communication Prime Task. Data Coding Decoding Explore A Variety Of Applications Of The Theory Of Arithmetic And Computation. In The Fields Of Cryptography And Cryptanalysis As Well As...
AN EFFECTIVE METHOD FOR FINGER-VEIN VERIFICATION USING CONVOLUTIONAL AUTO-ENCODER AND SVM METHOD
This Project Presents A Novel Deep Learning-based Method That Integrates A Convolutional Auto-Encoder (CAE) With Support Vector Machine (SVM) For Finger Vein Verification. The CAE Is Used To Learn The Features From Finger Vein Images And Th...
optimization of different parameter of finfet based priority encoder
For Better Performance And Lower Leakage Parameters We Can Use FinFET Either Be Shorted Gates Or Independent Gates. DELTA Gates Has Good Short Channel Effects (SCE’s) Compared To Conventional Based CMOS. In This Paper, Determination Of Ener...
4 BIT FINFET BASED PRIORITY ENCODER
Priority Encoder Converts Multiple Binary Inputs Into Binary Representation Of The Index Of Active Input Bit With The Highest Priority. It Is Used Where More Than One Device Want To Access The System, It Decides The Priority Of The Device T...