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A Hybrid Model for back-Break Prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

کلیدواژه: backbreak, extreme gradient boosting (XGB), Particle swarm optimization (PSO), gray wolf optimization (GWO), Chadormalu iron mine

نویسندگان: Nabavi Zohreh, Mirzehi Mohammad, Dehghani Hesam, Ashtari Pedram

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. back-break can be influenced by various parameters such... ادامه

سال:2023

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The Impact of Corporate Governance on Momentum Strategies Profitability Considering Market pressure and Management Entrenchment Hypotheses

کلیدواژه: Momentum,Corporate Governance,Shareholder Rights,Market Pressure Hypothesis,Tehran Stock Exchange

نویسندگان: SADIDI MEHDI, AHMADVAND MAYSAM

ناشر: مطالعات تجربی حسابداری مالی - JOURNAL OF MANAGEMENT AND ACCOUNTIN SCHOOL

This study documents the impact of corporate governance nature on momentum strategies profitability in Tehran stock exchange. To do so, we firstly examined the profitability of short term, midterm, and long term momentum strategies and found that, regarding both raw data and industry adjusted data, ... ادامه

سال:2019

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Selection of Green Suppliers Using a Hybrid Multi-Objective Programming and Rough Set Model

کلیدواژه: Green supply chain management, supplier selection, multi-objective programming, rough set theory, Iran Khodro

نویسندگان: Poursmaeil Hossein, Bagherzadeh Khajeh Majid, Rahmani Kamaleddin, Bafandeh Zendeh Alireza, Pasbani Mohammad

ناشر: آموزش، تربیت و توسعه پایدار - Training, Education, and Sustainable Development

This study aims to design and implement a precise and scientific model for selecting green suppliers by integrating multi-objective mathematical programming and rough Set theory in the Iran Khodro company. The research is applied–developmental in purpose and descriptive–analytical in method. Data we... ادامه

سال:2024

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A New Hybrid Method to Increase the Prediction in Data Reduced Using Rough Set and Swarm Intelligence Model

کلیدواژه: Rough Set Theory,Swarm Intelligence,Ant Colony Optimization,Feature Reduction

نویسندگان: Mirzaee Elahe, ESMAEILPOUR MANSOUR

ناشر: پردازش علایم و داده ها - SIGNAL AND DATA PROCESSING

Designing a system with an emphasis on minimal human intervention helps users to explore information quickly. Adverting to methods of analyzing large data is compulsory as well. Hence، utilizing power of the data mining process to identify patterns and models become more essential from aspect of rel... ادامه

سال:2017

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Sensitivity Analysis and Development of a Set of Rules to Operate FCC Process by Application of a Hybrid Model of ANFIS and Firefly Algorithm

کلیدواژه: Fluid Catalytic Cracking,Adaptive Neuro-Fuzzy Inference System,Firefly Algorithm,Optimization,RON,Gasoline

نویسندگان: ZAHEDI ABGHARI SOROOD

ناشر: - Journal of Petroleum Science and Technology

Fluid catalytic cracking (FCC) process is a vital refinery process which majorly produces gasoline. In this research, a hybrid algorithm which was constituted of Adaptive Neuro-Fuzzy Inference System (ANFIS) and firefly optimization algorithm was developed to model the process and optimize the opera... ادامه

سال:2019

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