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Papers tagged with "Ate"
Cost Audit In India: Regulatory Effectiveness, Compliance Burden And Opportunities For Reform
Statutory Cost Audit Represents One Of The Most Distinctive And Debated Dimensions Of Corporate Regulation In India. Originating As An Administrative Intervention To Curb Industrial Profiteering And Ensure Resource Conservation During The P...
Synthesis And Characterization Of Tween 80-Modified Hydrophobic Silica Coatings For Corrosion Protection Of Steel
In The Present Study, Hydrophobic Silica Coatings Modified With Tween 80 Were Fabricated On Steel Substrates Using The Sol-gel Method And Evaluated For Their Structural, Surface, Thermal, Mechanical, And Anticorrosion Properties. Methyltrim...
The Chemical Footprint Of Industry: Water Quality In Jeopardy
Water Quality Assessment Is A Critical Component Of Environmental Monitoring, Particularly In Regions Subjected To Industrial Activity. This Review Paper Synthesizes The Literature On Physicochemical Parameters Of Water, Drawing From Studie...
Industrial Effluents And Heavy Metal Pollution: A Global Water Crisis
Heavy Metal Contamination Of Water Is One Of The Most Pressing Environmental And Public Health Crises Of The Industrial Era, Particularly In Rapidly Developing Nations Where Regulatory Frameworks Lag Behind Industrial Expansion. This Review...
A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
Design And Development Of A Mechanical Water Level Based Automatic Pump Cut-Off System
Water Tank Overflow Is A Common Practical Problem When A Pump Is Left Running After The Tank Has Reached Its Required Level. Many Automatic Systems Solve This Problem By Using Electronic Sensors, Microcontrollers Or Other Control Hardware....
DESIGN AND IMPLEMENTATION OF AN FPGA BASED SMART TRAFFIC LIGHT CONTROL SYSTEM USING CAMERA BASED VEHICLE DETECTION
Traffic Congestion Is A Major Challenge In Rapidly Growing Urban Areas, While Conventional Fixed-time Traffic Signals Cannot Respond Effectively To Changing Traffic Density. This Paper Presents A Camera-based Smart Traffic Light Control Sys...
Experimental Investigation On The Strength And Durability Properties Of M30 Concrete By Partially Replacing Cement With Eggshell Powder
This Study Investigates Egg Shell Powder (ESP) As A Partial Replacement For Ordinary Portland Cement In M30 Grade Concrete, With Emphasis On Fresh Behaviour, Mechanical Strength And Durability. Concrete Mixes Were Prepared With 0%, 5%, 10%,...
Environmental Aspects Of University Library Buildings In Maharashtra State
University Library Buildings Play An Important Role In Supporting Higher Education, Research, And Knowledge Creation. At The Same Time, Library Buildings Consume Considerable Amounts Of Energy And Natural Resources Through Lighting, Air-con...
EXECUTION AND CONSTRUCTION MANAGEMENT OF ELEVATED BULLET TRAIN WORKS FROM SUBSTRUCTURE TO DECK FURNISHING
The History Of Indian Railways Dates Back More Than 160 Years. The First Passenger Train Ran Between Bori Bunder (Bombay) And Thane, A Distance Of 34 Kilometres, On April 16, 1853. It Had Thirteen Carriages And Was Operated By Three Locomot...
Federated Learning And Explainable Artificial Intelligence For Intrusion Detection In IoT Networks: A Review
The Rapid Enlargement Of The Internet Of Things Has Turned Billions Of Weakly Protected Devices Into An Attractive Attack Surface, And Machine-learning Intrusion Detection Has Become The Default Defensive Answer. Three Difficulties, However...
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...
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...
An Optimized Deep Learning Model For Churn Rate Prediction
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...