Search Results - (( intelligence assisted learning algorithm ) OR ( intelligence deep learning algorithm ))

An intelligent risk management framework for monitoring vehicular engine health by Rahim, Md. Abdur, Rahman, Md. Arafatur, Rahman, Md. Mustafizur, Zaman, Nafees, Moustafa, Nour, Razzak, Imran

“…The stacked ensemble of the deep learning algorithm outperformed other standard machine learning and deep learning algorithms in providing 80.3% decision accuracy for the 80% training data and efficiently managing large amounts of data. …”
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Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, M. Saef Ullah

“…The model utilises the YOLO V8 deep learning algorithm in the Google Colab environment and is trained using a custom dataset managed by the Roboflow dataset manager. …”
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Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning by Baharadin, Hazirah

“…The project is developed using Deep Learning algorithm which the functionality can be found in KNIME Analytic application. …”
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

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Development of Scoliotic spine severity detection using deep learning Algorithms by Makhdoomi, Nahid Ameer, Gunawan, Teddy Surya, Idris, Nur Hanani, Khalifa, Othman Omran, Karupiah, Rajandra Kumar, Bramantoro, Arif, Abdul Rahman, Farah Diyana, Zakaria@Mohamad, Zamzuri

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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph by Joseph, Corina

“…In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. One of these definitions describes AI as the utilization of automated algorithms, robotics, or machines that mimic human cognitive functions, enabling them to perform tasks such as learning, identifying, analyzing, and problem-solving (Graham et al., 2020). …”
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian by Chin, Chee Ka, Dayang Azra, Awang Mat, Abdulrazak Yahya, Saleh

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Durian Detection And Counting System Using Deep Learning by Amir Hilmi Ahmad Azizi, Izzudin Mat Lazim, Azween Mohd Rozmi, Sharma Roa Balakhrisnan, Fauzan Abdullah Ashaiman, Mus’ab Sahrim, Wan Zakiah Wan Ismail, Juliza Jamaludin, Irneza Ismail

Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations by Ibrahim, Nur Shahidatul Nabila, Suppiah, Subapriya, Ibrahim, Buhari, Mohad Azmi, Nur Hafizah, Seriramulu, Vengkatha Priya, Mohamad, Mazlyfarina, Hanafi, Marsyita, Mohammad Sallehuddin, Hakimah, Omar Sharif, Nurallysha Najwa, Razali, Rizah Mazzuin, Harrun, Noor Harzana

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Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

“…This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detecting skin diseases. …”
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Lane detection in autonomous vehicles : A systematic review by Noor Jannah, Zakaria, Mohd Ibrahim, Shapiai, Rasli, Abd Ghani, Mohd Najib, Mohd Yassin, Mohd Zamri, Ibrahim, Nurbaiti, Wahid

“…Recent advancements imply that attention mechanism has become a popular combined strategy with deep learning methods. The use of deep algorithms in conjunction with other techniques showed promising outcomes. …”
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Application of Artificial Intelligence In Smart City by Law, Jia Wei

“…Proposals on AI application trends in the Economic dimension are regulated Unmanned Aerial Vehicle (UAV) application, create open resources of data sources, algorithms, and sources of economic AI machines, and assist in financial analysis of the smart city. …”
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Development of Deep Learning Classification Model for Diabetic Retinopathy Detection and Grading by Nurul Mirza Afiqah, Tajudin

“…Hence, studies have been working towards automating medical diagnosis by incorporating Artificial Intelligence (AI) in their system. The rapid growth of technologies and AI has led to the development of Deep Learning (DL), in which its algorithms are stacked in a hierarchy of increasing complexity and abstraction. …”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope by Hossain, Md Naeem, Rahim, Md. Abdur, Rahman, Md Mustafizur, D., Ramasamy

“…The review highlights that AI has significantly expedited the development of autonomous vehicles regarding navigation, decision-making, and safety features through the use of advanced algorithms and deep learning structures. Furthermore, it identifies advanced driver assistance systems, vehicle health monitoring, and predictive maintenance as the most impactful AI applications, transforming operational safety and maintenance efficiency in modern automotive technologies. …”
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Offline handwritten Chinese character using convolutional neural network: State-of-the-art methods by Zhong, Yingna, Kauthar, Mohd Daud, Ain Najiha, Mohamad Nor, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan

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Offline handwritten chinese character using convolutional neural network : State-of-the-art methods by Zhong, Yingna, Kauthar, Mohd Daud, Ain Najiha, Mohamad Nor, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan

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Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain by Hakim M., Omran A.A.B., Inayat-Hussain J.I., Ahmed A.N., Abdellatef H., Abdellatif A., Gheni H.M.

Enhancing Driving Assistance System with YOLO V8-Based Normal Visual Camera Sensor by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, Md Saef Ullah, Mohamad Heerwan, Peeie

“…The video was taken through a direct camera to capture video footage of traffic objects on the roads in the district, which was then analysed using the YOLO-V8 deep learning algorithm. The system was trained on a primary dataset of 1,068 images, with 70% of the dataset used for training, 20% for testing and 10% for validation. …”
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Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

“…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

“…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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