Search Results - (( developing risk reduction algorithm ) OR ( java code classification algorithm ))

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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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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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
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Modeling And Control Of V-Groove Rotary Impact Driver by Leong, Chi Hoe

“…The purpose of doing the latter is to verify the developed algorithm so that it does not have risk of overrun on defined solver fixed time step. …”
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Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination by Haspi Harun, Hanif

“…Concerns towards high radiation dose and cancer risk from Computed Tomography Pulmonary Angiography (CTPA) examinations have prompted efforts to develop a novel optimization while preserving CT image diagnostic performance. …”
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. The objective of this study is to develop an accurate and efficient model capable of recognizing the presence of children in cars based on sound data. …”
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Lithium-ion battery charge equalization algorithm for electric vehicle applications by Hannan M.A., Hoque M.M., Peng S.E., Uddin M.N.

Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

“…Likewise, current developments in the RCM models are struggling to solve the drawbacks of the traditional RCM, but prioritization of risk factors, multi-objective optimization, and policy selection of maintenance are neglected. …”
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From Jurisprudence to Algorithms: The Role of Artificial Intelligence in Contemporary Sharia Financial Decision-Making by Edi Mulyono, Mahmoud Mohamed Ali Mahmoud Edris

Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

“…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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An active lower-extremity exoskeleton for synchronous mobility assistance in lifting and carrying manual handling task / Sado Fatai by Sado , Fatai

“…In this study, a new 12-DOF lower extremity EHPA called UMExoLEA (Universiti Malaya Exoskeleton for Lower Extremity Augmentation) with 4-active bi-directional brushless DC motor actuation and a novel synchronous mobility control algorithm are developed to provide smooth lower-extremity mobility augmentation in lifting/carrying MH works. …”
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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

“…These predictive and detecting models comprise of Artificial Intelligence (AI) algorithms that require improvements for data reduction, universal prediction and compatibility. …”
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Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH by Norhafidzah, Mohd Saad

“…The load flow patterns will significantly have affected when uncertain PV generation – load models are considered into the power flow algorithm. A new method of probabilistic backward – forward sweep power flow (BFSPF) based on Monte Carlo – PDF is developed as the fitness evaluation for the PVDG planning. …”
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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

“…These predictive and detecting models comprise of Artificial Intelligence (AI) algorithms that require improvements for data reduction, universal prediction and compatibility. …”
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Development of warranty management visualisation for automotive aftermarket with integration of AI by Abdul Hamid, Abdul Hamid, Adull Manan, Nor Fazli, Ismail, Mohd Fauzi, Abdul Wahab, Abdul Malek, Khalit, Muhammad Ilham

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Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

“…The Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR) are calculated. The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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Information fusion and data augmentation with deep features for a deep learning-based baby cry recognition / Zhang Ke by Zhang , Ke

“…Therefore, the objectives of this study are firstly, to develop a model based on transfer learning to solve the model overfitting problem; secondly, to develop a generative adversarial network model to generate new baby cry data to solve the data imbalance problem; and thirdly to develop an information fusion method to improve the recognition accuracy. …”
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Improvement of vertical height accuracy using data fusion technique for terrain mapping in oil palm plantation by Muhadi, Nur 'atirah

“…When the filtering was completed, data fusion of TLS and IfSAR-derived DEM was developed to increase the accuracy of IfSAR-derived elevation models and provide high quality data for plantation management especially for slope risk management. …”
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The prevalence and functional impact of rare genomic copy number variation in hypertension-related left ventricular hypertrophy / Julia Ashazila Mat Jusoh by Mat Jusoh, Julia Ashazila

“…Enrichment analysis revealed the involvement of these genes in the cardiac development via Sp1 signalling. Thus the development of HT LVH+ was through activation of transcription factor which was highly expressed during cardiac development. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

“…For plant growth and development study, yield is the most critical parameter. …”
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