Welcome to the eighth edition of the biennial internationalconference on datascience and machinelearningapplications (cdma2025). this edition honors the 2030 Saudi Vision by exploring its ambitious goals and trans...
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the proceedings contain 35 papers. the topics discussed include: modelling of tsunami wave generated by volcanic eruption using impulsive disturbance for 2022, Tonga Island tsunami;enumerating the k-fold configuration...
ISBN:
(纸本)9798331539696
the proceedings contain 35 papers. the topics discussed include: modelling of tsunami wave generated by volcanic eruption using impulsive disturbance for 2022, Tonga Island tsunami;enumerating the k-fold configurations in multi-class classification problems;computational analysis of Quran text using machinelearning and large language models;questionable fairness in federated learning;predicting the length of hospital stay using machinelearning: an explainable artificial intelligence approach;the bagged tree ensemble model for predicting steel industry energy consumption profile;the role of business intelligence in transforming HR practices: a focus on employee retention and performance management;and forecasting new mobile site location suitability using machinelearning.
Welcome to the eighth edition of the biennial internationalconference on datascience and machinelearningapplications (cdma2025). this edition honors the 2030 Saudi Vision by exploring its ambitious goals and trans...
ISBN:
(数字)9798331539696
ISBN:
(纸本)9798331539702
Welcome to the eighth edition of the biennial internationalconference on datascience and machinelearningapplications (cdma2025). this edition honors the 2030 Saudi Vision by exploring its ambitious goals and transformative potential in the realm of Generative Artificial Intelligence: Challenges and Opportunities.
Road accidents are a major public health issue, leading to numerous deaths and injuries each year. the lack of data on these accidents in this country hinders prevention efforts. this paper presents a study aimed at f...
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this paper delves into the dynamic realm of weather prediction, specifically focusing on the binary classification task of forecasting snowfall. Employing machinelearning models, including Logistic Regression, Suppor...
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One application of Latin square lies in their utilization within cryptographic systems. By adding complexity through permutation-based replacement, Latin squares strengthen security against assaults such as frequency ...
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the Quran verses are foundational for Muslims worldwide. Significant research has been dedicated to information retrieval (IR) from Quran;however, multiple studies have focused on descriptive analysis and topic modell...
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In the evolving landscape of sustainable investing, environment, social, and governance (ESG) metrics are key for assessing companies beyond financial performance. Recognizing the growing relevance of ESG to stakehold...
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the increasing density of mobile networks has made the identification of optimal new coverage sites a critical challenge for mobile operators. Traditional methods relying on manual inspections and council plans are la...
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ChatGPT possesses powerful large language models that rely on deep learning technology. It excels at understanding natural language and context, enabling it to generate answers to questions and inquiries. However, eva...
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