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SCHEDULE IMPACT ASSESSMENT OF DELHI METRO UNDERGROUND PROJECT USING PRIMAVERA SOFTWARE
Arranging And Scheduling Are The Fundamental In The Enormous Foundation Project Like Street And Extension Development, Metro Rail Projects As These Are Proposed For Public Government Assistance. These Activities Are Have Various Partners An...
PLANNING AND SCHEDULING OF MULTI STOREY BUILDING USING BIM (BUILDING INFORMATION TOOL)
Building Information Modeling (BIM) Has Revolutionized The Architecture, Engineering, And Construction (AEC) Industry By Enabling Integrated Digital Representation Of Physical And Functional Characteristics Of Facilities. In The Face Of Esc...
PROJECT APPLICATION OF MIRCROSOFT PROJECT FOR RESOURCE OPTIMIZATION OF ACCESS CONTROLLED EXPRESSWAY FROM DESIGN CHAINAGE 515+300 TO 5+520 KUNWANI TO SIDHRA SECTION OF NH-44
Highway Infrastructure Development In India Faces Persistent Challenges Related To Resource Allocation Inefficiencies, Delays, And Cost Overruns. With The Growing Scale Of National Highway Projects, There Is An Urgent Need To Adopt Advanced...
Artificial Intelligence In Physical Education: Opportunities, Challenges, And Future Directions
Artificial Intelligence (AI) Is Transforming Physical Education By Improving Teaching, Fitness Assessment, Sports Performance Analysis, And Health Monitoring Through Technologies Such As Machine Learning, Computer Vision, Wearable Devices,...
Hybrid Cryptographic Techniques For Secure Cloud Data Storage: A Review Of Algorithms, Architectures And Open Research Challenges
The Migration Of Institutional Record Keeping To Third-party Cloud Infrastructure Has Made Cryptographic Protection The Principal Instrument Through Which Data Owners Retain Control Over Information They No Longer Physically Possess. Becaus...
A Comparative Study Of Machine Learning Algorithms And Response Surface Methodology For Energy Prediction And Optimization In Conveyor Systems
Conveyor Belts Are Fundamental To Any Modern Industrial Or Material-handling Facility, But Energy Efficient Operation Of A Conveyor System Is Essential For Decreasing Operational Cost. This Paper Proposes A Comparative Study Of Energy Optim...
TOPOGRAPHY-INDUCED SPATIAL VARIABILITY IN THE SEISMIC ANALYSIS OF LONG-SPAN ARCH BRIDGES: A SYSTEMATIC REVIEW
Long-span Arch Bridges Are Frequently Selected For Deep Valleys And Canyon Crossings, Yet The Same Topography That Makes The Structural Form Attractive Can Substantially Modify Earthquake Input At The Foundations. This Review Synthesizes Re...
Embedded-Based Pest Detection And Prevention System For Smart Agriculture
Agricultural Productivity Is Significantly Affected By Pest Infestations, Leading To Substantial Crop Losses And Increased Dependence On Chemical Pesticides. Early Detection And Timely Prevention Of Pests Are Essential For Improving Crop Yi...
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...
A Review On Machine Learning And Deep Learning Models For Identifying Potentially Extremist And Radicalized Content
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
BRIDGING LEARNING GAPS THROUGH STEM EDUCATION
STEM Education Is Applied To Raise Individuals Having 21st-century Skills Based On The Integration Of Science, Technology, Engineering, And Mathematics. This Paper Aims To Present The Overall Effect Of STEM Education On Students’ Academic A...
Andrographis Paniculata: Phytochemistry, Pharmacological Activities, Cardioprotective Potential, And Recent Advances
Traditional Herbal Medicines Remain An Important Source Of Healthcare, Particularly In Developing Countries. This Study Evaluated The Cardioprotective Effect Of An Aqueous Extract Of Andrographis Paniculata Against Dichlorvos-induced Cardia...
A Review On Machine Learning And Deep Learning Models For Estimating Customer Churn Rates
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
A Comprehensive Study Of Machine Learning (ML) Algorithms And Performance Evaluation: Enhancing The Credit Card Fraud Detection
Credit Card Companies Must Be Able To Identify Fraudulent Credit Card Transactions So That Clients Are Not Charged For Items They Did Not Purchase. Previously, Many Machine Learning Approaches And Classifiers Were Used To Detect Fraudulent...
An Ensemble Machine Learning Models For Heart And Cardiovascular Disease Prediction
Chronic Health Risks Have Risen Among Young Individuals Due To Several Factors Such As Sedentary Lifestyle, Poor Eating Habits, Sleep Irregularities, Environmental Pollution, Workplace Stress Etc. The Problem Seems To Be More Menacing In Th...