Search Results - (( intelligence based force algorithm ) OR ( intelligence based crops algorithm ))
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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An intelligent system based on kernel methods for crop yield prediction
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Feature-based face recognition system using utilized artificial neural network
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An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery
Published 2016“…This paper presents the modelling and control of a two degree of freedom upper extremity exoskeleton by means of an intelligent active force control (AFC) mechanism. The Newton-Euler formulation was used in deriving the dynamic modelling of both the anthropometry based human upper extremity as well as the exoskeleton that consists of the upper arm and the forearm. …”
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…ILC algorithm is implemented into AFC-based control scheme to reduce its complexity and hence faster response, by replacing the use of artificial intelligence (Al) method as proposed by previous researcher. …”
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Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.
Published 2005“…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. …”
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Chili crop segregation system design and development strategies
Published 2021“…An automation process is a need in the agricultural industry specifically chili crops, that implemented image processing techniques and classification of chili crops usually based on their color, shape, and texture. …”
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Online DE optimization for Fuzzy-PID controller of semi-active suspension system featuring MR damper
Published 2022“…The semi-active suspension system outperformed other suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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Development of a robust intelligent controller for a semi-active car suspension system
Published 2022“…Semi-active suspension systems outperformed passive and active suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…Finally, for the hybrid control system the task was decomposed into several individual intelligent control agents, where the task space was split into the position-controlled subspaces, the force-controlled subspaces and the uncertain hyper plane identification subspaces. …”
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Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation
Published 2022“…Finally, validation is conducted based on the proposed crowd evacuation simulation time, which is further based on standard evacuation guidelines and statistical analysis methods.…”
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Analysis of Motion Detection using Social Force Model
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…Developing an intelligent wearable robotic hand glove system based on PSCA with self-calibration feature of grasping mechanism is implemented. …”
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…This object detection-based approach has proven to be a promising solution in efficiently detecting crop disease in real-time.…”
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