Search Results - (( developing managers perception algorithm ) OR ( java visualization learning algorithm ))

Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

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Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

“…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

“…Secondly, the color algorithm was developed to interpret natural expressions of content such as 10%, 20%, etc. …”
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Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

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Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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Formulation of macro-micro safety predictors in high-rise construction sites based on dematel algorithm by Kang, Chun Xiang

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Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni by Mad Rosni, Nurul Najihah

“…Artificial intelligence (AI) is a subfield of computer science that enables machine to perceive and develop human-like inputs for perception, knowledge representation, reasoning, planning and problem solving, so they may cope with complex and fuzzy issues in a deliberate, intelligent and adaptive way. …”
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

“…Consequently, new rules and algorithm that is MustFront rule, limitation rule, and two-steps pitch contour algorithm are introduced to increase the synthesized speech quality. …”
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Overview of Evolutionary Algorithms and Neural Networks for Modern Mobile Communication by Lida Kouhalvandi, Ibraheem Shayea, Serdar Ozoguz, Hafizal Mohamad

Real-time automated road damages inspection using deep convolutional neural networks by Shahrul Munir, Mohamad Faiq Mohd, Bustamam, Muhammad Amiruddin, Ismail, Amelia Ritahani, Md Yusof, Norlia, Amir Hussin, Amir 'Aatieff

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The relationships between brand attributes and word of mouth on brand identity and brand image by Al Kasassbh, Hazem Mohamad Abd Al Ghany

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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad by Iftikhar , Ahmad

“…Furthermore, a self-location calculation algorithm is developed to enable vehicles to calculate their location in the absence of global positioning system (GPS) signals. …”
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Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

“…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

“…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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