DATA-DRIVEN SIMULATOR: REDESIGN OF CHICKPEA HARVESTER REELS

Data-Driven Simulator: Redesign of Chickpea Harvester Reels

Conventional redesign methodologies applied on the grain harvester headers for the mechanical harvesting of chickpeas cause its progress to not be as rapid and technological.This paper presents a hybrid modeling-optimization methodology to design harvester reels for efficient chickpea harvesting.The five fabricated headers were tested in both real

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An Effective Framework Using Spatial Correlation and Extreme Learning Machine for Moving Cast Shadow Detection

Moving cast shadows of moving objects significantly degrade the performance of many high-level computer vision applications such as object tracking, object classification, behavior recognition and scene interpretation.Because they possess similar motion characteristics with their objects, moving cast shadow detection is the gel bottle cashmere stil

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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis)

Introduction: Urban growth has accelerated in recent decades, therefore, predicting the future growth pattern of the city is very important to prevent environmental, economic, and social problems.The city of Tabriz has also experienced rapid growth of urban lands due to significant demographic changes, which requires accurate simulation of urban gr

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Cryptocurrencies Advantages and Disadvantages: A Review

Abstract.With the rapid spread of technology in all sectors of life and the necessary need to increase the speed of payment processes, confidentiality, and privacy in business operations, cryptocurrencies appeared.The copyright is a virtual and intangible currency, in which transactions are made through the Internet and without any physical exchang

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