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14th International Seminar on Industrial Engineering and Management (ISIEM) [Minkštas viršelis]

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  • Formatas: Paperback / softback, 98 pages, aukštis x plotis x storis: 240x170x5 mm, weight: 310 g, Illustrations
  • Išleidimo metai: 06-Feb-2025
  • Leidėjas: Trans Tech Publications Ltd
  • ISBN-10: 3036405690
  • ISBN-13: 9783036405698
Kitos knygos pagal šią temą:
14th International Seminar on Industrial Engineering and Management (ISIEM)Didesnis paveikslėlis
  • Formatas: Paperback / softback, 98 pages, aukštis x plotis x storis: 240x170x5 mm, weight: 310 g, Illustrations
  • Išleidimo metai: 06-Feb-2025
  • Leidėjas: Trans Tech Publications Ltd
  • ISBN-10: 3036405690
  • ISBN-13: 9783036405698
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783036405698.html
Raktažodžiai:
This edition contains articles that were presented at the 14th International Seminar on Industrial Engineering and Management (ISIEM 2023, March 13, 2023, Jakarta, Indonesia, hybrid). The main goal of this seminar was to share experience and research results in machinery design, industrial technology, information technology, engineering management, biomedicine, and occupational health.
Preface, Committees, Sponsor
Chapter 1: Machinery and Equipment
Improving Boiler Performance with Failure Mode Effect and Criticality
Analysis (FMECA)
Implementation of the Bees Algorithm for UAV Mission Plan
Chapter 2: Industrial Engineering and Engineering Management
Prioritizing Factors Influencing Online Donation Intention Using the Fuzzy
Analytic Hierarchy Process
Efficiency Measurement for Non-Profit Organizations in Halal Industry Using
Data Envelopment Analysis
Factors Influencing the Implementation of Sustainability for the Palm Oil
Supply Chain
Factors Affecting Oil Palm Cultivation Using Machine Learning and Statistical
Inference Methods
Chapter 3: Biomedicine and Occupational Health
A Bi-Fold Multi-Classification Scheme for Brain Tumor Using Deep
Convolutional Neural Network
The Prevention Stroke for High-Risk Patients Using Prediction and Treatment
Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)
Auto-Mechanics' Mental Workload and Posture Risk Assessment in Automobile
Repair Shop: A Case Study