Search Results - (( intelligence based maps algorithm ) OR ( intelligence based due algorithm ))
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Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…Basic Theta* is implemented in the game using grid-based map representation. Unity Engine provide its own pathfinding solution using A* algorithm with Navigation Mesh (NavMesh) map representation. …”
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2
A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…It is proposed and shown that route-like intelligent motion is based on a combination of decisional and kinematical factors. …”
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Joint torque estimation model of surface electromyography(sEMG) based on swarm intelligence algorithm for robotic assistive device
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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Simulation and Design of an Intelligent Mobile Robot for Fire Fighting
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Analysis of the effectiveness of natural treatments for preserving apricots and the YOLOv7 application for early damage detection
Published 2025“…For the performance indicators of the YOLOv7 algorithm, precision of 84.5%, recall of 87%, F1 of 0.77, and mAP@0.5 of 77.2 were obtained, respectively. …”
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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari
Published 2015“…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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9
Semantic focus fusion based on deep learning for deblurring effect
Published 2024“…In a rapid development of intelligent computation, such as deep learning algorithm, multi-focus image fusion methods indirectly being involved, such as CNN and PCA Net architectures. …”
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10
Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
Published 2022“…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…Other research works are focusing on improving the mean average precision and the best result reported so far is 93% of mean Average Precision (mAP) by YOLOv5. This paper focuses on object detection of the Convolutional Neural Network (CNN) architecture-based to detect the disease of solanaceous crops for robot vision. …”
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Indoor temperature and humidity control using generalized predictive control-fuzzy cognitive map controller on direct expansion air conditioning system
Published 2017“…The simple Fuzzy Cognitive Map (FCM) control algorithm by using generalized predictive control (GPC) for assigning the weights are used to obtain the goals of comfort and energy saving by considering the real characteristics of air conditioning system. …”
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13
Smart cashierless checkout system for retail using machine vision
Published 2022“…This project was performed in 2 parts where the first stage involved an image synthesis algorithm to automatically produce visually realistic product images using Generative Adversarial Network (GAN). …”
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Final Year Project / Dissertation / Thesis -
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Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS)
Published 2020“…The paper will highlight implementing a Rplidar sensor with a floor mapping mobile robot platform with the enhanced error corrections based on the Artificial Neuro-Based SLAM (ANBS) algorithm. …”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. …”
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A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…Map-matching algorithms attempt to pinpoint the vehicle in a particular road map segment (or any restricting track such as rails, etc), in spite of the digital map errors and navigation system inaccuracies. …”
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Conference or Workshop Item -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The results showed that the proposed algorithm is able to improve the map-matching accuracy as compared to the point-to-curve algorithm. …”
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Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah
Published 2018“…The performance of ten (10) machine learning algorithms were evaluated to select the best classifier for both SADM and SMDM. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
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