Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr

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Deciphering Gene Patterns Through Gene Selection Using SARS-CoV Microarray Data,nses. The findings of our investigation shed insight into important biochemical pathways and cellular processes impacted by the virus by identifying a group of important genes that are differently expressed during SARS-CoV-1 infection. Overall, the thorough investigation of the GSE130967 data reveal

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Investigating the Impact of Utilizing the ChatGPT for Arabic Sentiment Analysis,thods for ChatGPT. We evaluate the performance of four machine learning (ML) techniques, including Naive Bayes (NB), K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), and Random Forest (FR), using accuracy, recall, precision, and F-score measure. We also compare six methods of labeling the d

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DAE-DBN: An Effective Lung Cancer Detection Model Based on Hybrid Deep Learning Approaches,this process is time-consuming, labor-intensive, prone to error, and not practical. Additionally, it negatively impacts the accuracy and efficiency of these approaches. This paper introduces the deep belief auto encoder model (DBA), which is a fully automated solution for detecting lung cancer. The

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Improving Prediction of Bursa Malaysia Stock Index Using Time Series and Deep Learning Hybrid Modelof Bursa Malaysia Kuala Lumpur Composite Index (KLCI). The proposed model operated by capturing the linear and volatility pattern from the time series model while the deep learning model handled the remaining non-linear pattern. The findings indicated an overall improvement of 13.32% for RMSE and 0.

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Role of Attitude, Norm and Behaviour Control Among Young Voters in Social Media Toward Political Ena, understanding the complex interplay of these factors among young voters is vital for fostering a thriving democratic society in Malaysia. The study employs a quantitative approach, through surveys, aiming to unravel the multifaceted dynamics of political engagement in the digital age. The expecte

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Current Challenges of Big Data Quality Management in Big Data Governance: A Literature Review,conducted a literature review on the recent studies that address these challenges. This study has also examined the available data quality dimensions used by the individual studies. Moreover, a total of 41 recent studies published between (2020–2023) were utilized by this review. The results of our

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Detection User Needs: LDA-Based Analysis of Arabic Reviews for Governmental Mobile Applications, and Latent Dirichlet Allocation (LDA), which is one of the most used topic modeling algorithms to extract requirements issues from Arabic user feedback expressed in the app’s reviews. NLP techniques combined with the LDA model enable us to identify the types of requirements issues that users are co

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,Exploring Instructors’ Practices: Data-Driven Evaluation and Insights via LMS,n LMS tools and related activities. Based on the data mining analysis, the study found that the usage level of LMS was low during the blended semesters and relatively high during the online semesters because of the Covid-19 pandemic. Also, no significant difference was found during the two years in