Safety, Health, and Analytics-Driven Governance Toward Sustainable Development : Select Proceedings of SHADG 2024.

Format:

Book

Author/Creator:

Maiti, Jhareswar.

Series:

Lecture Notes in Mechanical Engineering Series

Language:

English

Physical Description:

1 online resource (270 pages)

Edition:

1st ed.

Place of Publication:

Singapore : Springer, 2026.

Summary:

The book includes selected papers presented in the International conference on Safety, Health, and Analytics Driven Governance, SHADG 2024 , by international and national presenters including students, faculty, researchers, industrial experts in the domains of Safety, Security, Reliability, Maintenance, Health, Epidemiology, Risk, Resilience.

Contents:

Lecture Notes in Mechanical Engineering

Safety, Health, and Analytics-Driven Governance Toward Sustainable Development

Contents

Fatal Occupational Injuries in Major Ports: Status and Trend Analysis in India

Fuzzy FMEA Application to Improving Failure Analysis Efficiency in a Coal Handling System

Innovative Risk Analysis in Petrochemical Processes: A Text Data Mining Approach for HAZOP Studies

Strategic Supply Chain Management for Cultural Events: A Case Study of Centralised Distribution of Temporary Infrastructure in West Midnapore

Predicting the Elements of Incident Path from Process Safety Reports Using BERT Embedded Feedforward Neural Network

Reliability Centric Six Sigma Evaluation Approach for Manufacturing Process

Adaptive Signal Control for Urban Intersections: PTV Vissim Simulation-Based Assessment of Vehicle-Responsive Strategies in Chandigarh, India

Design and Fabrication of Acoustic Enclosure for Noise Control Using Experimental Study of Reciprocating Compressor

Role of UAVs in Construction Safety Management: A Review

Identification of the Patterns and Prediction of Occurrence of Forest Fires Using Association Rule Mining and Classification Trees

Pattern Generation for a Sustainable One-Dimensional Cutting Stock Problem with Limited Usage of Unique Standard Lengths and Unique Patterns to Minimize Overall Trim Losses and Cost

V-SVM: A VGG19-based Support Vector Machine for Early Detection of Parkinson's Disease

Influence of Direction Vectors on Amplitude Factor in Gearbox Vibration Signals Under Varying Loading Conditions

Maintainability Attributes and Comparative Analysis: A Case Study on Aero Engines.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819561797

OCLC:

1609717006