Results 241 to 250 of about 249,780 (278)

Interpretable Automated Machine Learning Workflow for Intelligent Drilling in the Petroleum Industry: Case Study on Rate of Penetration Prediction

SPE Journal
Accurate rate of penetration (ROP) prediction is essential for optimizing the drilling process and improving drilling efficiency. Traditional empirical models often struggle to capture the complex nonlinear relationships between ROP and various ...
Zhengchao Ma, Hao Hu, Xiaoxia Zhou, Hongbao Zhang, Ye Zhang, Gensheng Li, Shouceng Tian, Tianyu Wang   +7 more
semanticscholar   +1 more source

Classifying Requirements of Students of Forest Industry Engineering Department by Kano Model

2014
Supplying quality product is one of privileged conditions to compete in market. Educational Institutions have to advance their quality to raise the power of competition. Therefore, they have to consider requirements of their students who are their customers. Aim of the study, in which expectations of students for educational quality is investigated, is
AKYÜZ, Kadri Cemil, BALABAN, Yasin, YILDIRIM, İbrahim   +2 more
openaire   +1 more source

The Design Space of LLM-Based AI Coding Assistants: An Analysis of 90 Systems in Academia and Industry

IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments
Over the past few years, millions of people have been using LLM-based AI tools to aid in programming, data analysis, and software engineering tasks. These AI coding assistants range from specialized tools like GitHub Copilot to general-purpose chatbots ...
Sam Lau, Philip J. Guo
semanticscholar   +1 more source

The Perception of Forest Industry Engineering Students on Their Education and Professional Future (Düzce University Case)

2017
Orman EndüstriMühendisliği Bölümü, orman ürünleri endüstrisi ve odun dışı orman ürünleri ileilgili alanlarda çağdaş eğitim ve öğretim yaparak nitelikli, araştırıcı veanalitik düşünebilen, sosyo-kültürel donanımlı, çevre ve toplum bilinci yüksek,yaratıcı, yenilikçi ve girişimci Orman Endüstri Mühendisleri yetiştirmekamacıyla yüksek öğretim ...
SEVİM KORKUT, Derya Sevim Korkut, GEDİK, Tarık, UZUN, Oğuzhan   +2 more
openaire   +1 more source

A Multi-Subject Evaluation System for the Quality of Graduation Project Topics Selection Based on the Delphi Method and Isolation Forest

International Conference on Engineering Education
In order to improve the quality and consistency of topics selection in undergraduate graduation projects, this study proposes a multi-subject evaluation system for topics quality.
Jingang Jiang, Jiang Xiong, Kairui Wang, Jianying Li, De-yu Meng, Xiaogang Liu   +5 more
semanticscholar   +1 more source

Future Directions in Electric Load Forecasting: Leveraging Random Forest for Improved Accuracy

2025 5th IEEE International Conference on Energy Engineering and Power Systems (EEPS)
With the advancement of power technologies in the modern era, electric load forecasting has become increasingly crucial in domains including power grid layout optimization, electricity consumption, and power transmission.
Hongyi Lian
semanticscholar   +1 more source

Big Data Industry Chain Classification Model Based on XGBoost

2025 IEEE International Conference on Computation, Big-Data and Engineering (ICCBE)
With the rapid advancement of big data technology, precise classification and positioning of enterprises within the industrial chain are critical for industrial planning and strategic decision-making.
Meiqi Fang
semanticscholar   +1 more source

Performance of ANN, Random Forest and XGBoost methods in predicting the flexural properties of wood beams reinforced with carbon-FRP

Wood Material Science & Engineering
Wooden material can be used in different areas due to its various positive properties. Glued Laminated wooden elements (glulam) are wood composite materials widely used especially in the construction industry.
Yasemin ŞİMŞEK TÜRKER, Ş. Kılınçarslan, Ebru Yılmaz İnce   +2 more
semanticscholar   +1 more source

Financial fraud detection based on random forest and XGBoost algorithm

International Conference on Engineering Management, Computer Applications and Supply Chain 2025
In the digital age, emerging business forms such as Internet finance, mobile payment, and digital currency have not only promoted the rapid development of the financial industry but also provided new ground and more concealed means for fraudulent acts ...
Caina Jiang, Yujie Chen, Zhewen Li, Chengzhang Xu   +3 more
semanticscholar   +1 more source

Big Data-Driven Approach to Customer Churn Prediction in the Telecom Industry

International Conference on Soft Computing and Software Engineering
Customer churn prediction is a major challenge for the telecommunications industry, where attrition rates often exceed 25 % and directly impact revenue. This study proposes a scalable churn prediction pipeline built on Apache Spark and Hadoop Distributed
Mishel Rossmaree, A. Aponso
semanticscholar   +1 more source