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Papers tagged with "Model"
HIGH STRENGTH CONCRETE BY USING MANUFACTURED SAND
This Article Will Focus On The Study Of Manufactured Sand As A Volumetric Partial Substitute Of Conventional Crushed Fine Aggregate In M60, M70 And M80 Grade. Author Believes That A Better Approach For Covering Variety Of Mixes In A Modest...
An Interpretable Deep Learning Framework For MRI-Based Alzheimer’s Disease Detection And Automated Clinical Reporting
Alzheimer’s Disease (AD) Is A Progressive Neurodegenerative Disorder That Affects Memory, Cognitive Abilities, And Overall Brain Function, Particularly In The Aging Population. Early And Reliable Diagnosis Is Essential For Timely Interventi...
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
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...
Design And Analysis Of Industrial Warehouses Using STAAD.Pro: Comparative Assessment Of Conventional Steel And Pre-Engineered Building Systems
This Paper Presents A Comparative Analysis Of Conventional Steel Structure (CST) And Pre-engineered Building (PEB) Systems For An Industrial Warehouse Using STAAD.Pro. Four Principal Models Were Examined: Three-bay And Nine-bay CST Structur...
BACTERIOCINS: BIOPRESERVATION OF FOOD PRODUCTS
Fermentation Of Various Foods By Lactic Acid Bacteria (LAB) Is One Of The Oldest Forms Of Biopreservation Practised By Mankind. Bacterial Antagonism Has Been Recognised For Over A Century But In Recent Years This Phenomenon Has Received Mor...
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...
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 Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
Physical Violence Detection Using Key Framing
The Physical Violence Detection Using Key Framing App Is An AI-based Android Application Designed To Detect Violent Activities From Video Footage Using Intelligent Frame Analysis. The System Focuses On Identifying Suspicious Physical Action...
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
TRUTHLENS: AI-POWERED DEEPFAKE DETECTION USING DEEP LEARNING AND MEDIA FEATURE ANALYSIS
The Rapid Advancement Of Artificial Intelligence Has Made It Possible To Generate Highly Convincing Manipulated Media, Commonly Referred To As Deepfakes. These Synthetic Videos And Audio Recordings Pose A Serious Threat To Information Integ...