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Papers tagged with "Pc"
EXPERIMENTAL STUDIES ON AXIAL COMPRESSION STRENGTH OF GEOPOLYMER CONCRETE AND CONVENTIONAL CONCRETE COLUMNS
The High Carbon Emissions And Energy Consumption Associated With Ordinary Portland Cement (OPC) Have Prompted The Development Of Sustainable Alternatives In The Construction Sector. Geopolymer Concrete (GPC), Incorporating Industrial By-pro...
A Deep Learning Driven Approach For Automated Identification And Classification Of Defects In Printed Circuit Boards
In The Fast-paced Electronics Manufacturing Industry, Ensuring The Quality Of Printed Circuit Boards (PCBs) Is Essential For Producing Reliable And High-performance Devices. Traditional Methods For PCB Defect Detection, Such As Manual Visua...
Chronic Kidney Diseases Predications Using Machine Learning
Kidney Diseases Are An Increasingly Important Global Health Problem For Millions Of People A Year, For Which Early Detection And Accurate Prediction Play A Major Role In Improving Patient Outcomes And Reducing The Burden On Healthcare Syste...
A Review On Machine Learning Approaches For Heart Disease Classificaiton Using PCG Data
Heart Disease Or Cardiovascular Disease (CVD) Is The Leading Cause Of Death In The World. Around 17.9 Million People Die Prematurely Because Of Heart Disorders. Much Of The Deaths Occur In Low And Middle-income Countries [1]. CVD Relates To...
AN EXPERIMENTAL INVESTIGATION ON PROPERTIES OF SISAL FIBER USED IN THE CONCRETE
Ordinary Portland Cement (OPC) Is The Traditional Binding Agent Used In Concrete. However, The Energy-intensive Process Of Making Cement Releases Additional CO2 Into The Environment. Since OPC's Utility Is Growing At An Exponential Rate, Th...
An Analysis of Engineering, Procurement and Construction (EPC)-Contracts Based on Renewable Energy
EPC Contracts Are Increasingly Being Adopted As The Most Preferred Form Of Private Sector Delivery Mechanism For Most Large Infrastructure Projects. EPC Contracts Have Significant Importance When It Comes To Delivering Renewable Power Proje...
Effect of inclusion of Steel Fiber, Glass Fiber, and Crumb Rubber on the properties of geopolymer concrete composites
The Use Of Scrap Tyres In Construction Materials Has Been Promoted To Curb The Environmental Exploitation Caused By The Open Disposal Of Non-biodegradable Waste Rubber. Tyre Grinds As Aggregates In Geopolymer Concrete (GPC) Would Increase I...
CLOUD BASED INTRUSION DETECTION SYSTEM
With The Improvement Of Wireless Communication, Many Security Threats Have Also Emerged. An Internet Site Intrusion Detection Gadget (IDS) Facilitates Finding Assaults Over The Business Enterprises And The Criminals Can Be Arrested. Earlier...
NAVIGATING THE CHALLENGES OF POLYCYSTIC OVARY SYNDROME (PCOS): IMPLICATIONS FOR REPRODUCTIVE HEALTH, MENTAL WELL-BEING, AND CAREER MANAGEMENT
Polycystic Ovary Syndrome (PCOS) Is A Common Hormonal Disorder That Primarily Affects Women, Carrying Substantial Consequences For Both Reproductive Health And General Well-being.This Article Explores PCOS's Diverse And Heterogeneous Compli...
AN AUTOMATED SUPERVISED MACHINE LEARNING MODELS FOR (ALL) CANCER CLASSIFICATION
In This Paper, We Have Present A Machine Learning Based Approach For The Classification Of Blood Leukaemiausing Microscopic Images Employing A Probabilistic Neural Network. Probabilistic Neural Network Is Based On Bayes’s Theorem Of Condit...
A STUDY ON FACE RECOGNITION SYSTEM
In Present Times, Facial Recognition Has Become One Of The Best Methods Of Computer Vision. Facial Recognition, Computer Vision, Lighting, Lighting, Faces, Etc. Areas Has Always Been A Very Difficult Task. Face Recognition Tracks The Target...
FINANCIAL PERFORMANCE ANALYSIS OF HINDUSTAN PETROLEUM CORPORATION LIMITED
The Oil And Gas Sector Is A Significant Player Among India's Eight Major Industries, As It Plays A Critical Role In Shaping The Decisions For Other Essential Segments Of The Economy. With A Consumption Volume Ranked Only Behind China And Th...
Covid 19 Recognition using Deep Learning Algorithm
Because Of The COVID-19 Epidemic, The Whole Globe Is Now Experiencing A Health Catastrophe That Is Unprecedented In Its Sort. Researchers Are Worried About Finding Ways To Halt The Pandemic And Preserve Lives As The Coronavirus Spreads. The...
ESTIMATING CLOUD WORKLOADS BASED ON DEEP NEURAL NETWORKS AND GRADIENT DESCENT
Cloud Computing Has Revolutionized Computing Off Late With Several Domains And Applications Resorting To The Cloud Architecture. However Effective Task Scheduling And Load Balancing Is Critical For Cloud Based Servers. This Is Typically A V...
DESIGN OF ADAPTIVE EQUALIZER FOR FREQUENCY SELECTIVE CHANNELS USING CSI
Equalizer Design Is An Extremely Critical Aspect For Wireless Networks. This Paper Presents An Approach Combining The Decision Feedback Mechanism And Successive Signal Detection To Equalize Frequency Selective Channel Effects For Signals Tr...