the potential of the machinelearning in predicting mental health outcomes is investigated in this study. Two datasets were gathered: one of mental health patient questionnaires and the other of information from MRI s...
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For determining the driving strategy, modern cars are solely dependent on different factors such as people and road conditions. In particular, in the case of self-driving cars that travel autonomously towards the dest...
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Dynamic functional connectivity network (DFCN) derived from resting-state functional magnetic resonance imaging (rs-fMRI), which characterizes the dynamic interaction between brain regions, has been applied to classif...
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soft robotic manipulators provide numerous advantages over conventional rigid manipulators in fragile environments such as the marine environment. However, developing analytic inverse models necessary for shape, motio...
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the fourth industrial revolution, Industry 4.0, is transforming the manufacturing industry by integrating advanced technologies such as IoT, AI, and ML into the manufacturing process. In particular, the application of...
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the emergence of the sharing economy has brought about transformative changes across various industries. A prominent example, the Airbnb platform, has introduced a new business model to the hospitality sector, enablin...
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ISBN:
(纸本)9798400708305
the emergence of the sharing economy has brought about transformative changes across various industries. A prominent example, the Airbnb platform, has introduced a new business model to the hospitality sector, enabling numerous microenterprises to thrive through unique pricing strategies. A comprehensive understanding of these pricing strategies is crucial for exploring the essence of this innovative business model. this paper analyzes a dataset of 6,481 property listings from *** in the Hong Kong region as of June 24, 2023. Leveraging natural language processing and machinelearning techniques, a price prediction model is developed. the study employs three distinct prediction methods: Linear Regression, Random Forest, and XGBoost. By comparing their predictive performances, the Random Forest method demonstrates the strongest predictive capability. Furthermore, an attribution analysis is conducted using the Random Forest model, aiding hosts in setting appropriate prices and creating a stable and equitable rental environment for tenants.
Online privacy for people is getting worse every day. Computer malware is tainting the data records of some well-known companies. Hackers can gain access to a network and change data, once inside. this work discusses ...
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Data Science is a rapidly expanding field in technology that has attracted a lot of concentration recently due to the enormous influence it has on many different companies and domains. the field encompasses a wide ran...
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Over the past few decades, urbanization and industrialization have expanded rapidly in both emerging and developed countries. there is growing concern between the government and the public regarding the adverse effect...
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the machinelearning algorithm is used to analyze the minerals of the soil to identify which plants to be cultivated on the specific land. In proposed work, Combining the Random Forest and Support Vector machine algor...
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