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Jul 30, 2024Open Access
This paper explores causal inference through cognitive psychology, focusing on the dual-processing theory of the mind, which includes fast (System 1) and slow (System 2) thinking. It explains that our fast thinking, geared towards identifying causes, helps us survive but can also lead to incorrect causal inferences. The paper underscores the need for slow, deliberate thinking in accurately determining cause-and-effect, a challenging but essential approach. It outlines established methods for dev...
May 31, 2024Open Access
Artificial Neural Network (ANN) provides the learning ability for solving complex problems in similitude to the human brain. The research gives a detailed descriptive design of a simulated ANN. It expounded the architectural attributes (the network structure) showing the number and topology of the neurons with their interconnectivity and the neuro-dynamic attributes by employing the Levenberg Marquardt back propagation for the training and Gradient descent for the learning (adjusting the individ...
May 29, 2024Open Access
With the acceleration of urbanization, the problem of throwing objects at high altitude becomes more and more serious, which brings great threat to people’s life and property safety. With the acceleration of urbanization, the problem of throwing objects at high altitude becomes more and more serious, which brings great threat to people’s lives and property safety. In order to solve this problem, image recognition-based monitoring and an early warning system for high-altitude parabolic objects is...
May 22, 2024Open Access
Stock Prices are dynamic and vulnerable to quick changes because of the fundamental nature of the financial field and in part because of the mix of known parameters (Previous Days Closing Price, High Price, etc.) and unknown factors (like Election Results, Rumors, etc.). Its prediction is generally regarded to be a very arduous task as the process is time-varying, thus, creating uncertainty as its characteristic nature. Uncertainty results from the limited capability to resolve details and encom...
May 20, 2024Open Access
This research addresses the urgent concern of student mental health by innovatively implementing an efficacious chatbot intervention. The pri-mary focus is on delivering accessible and personalized support, adopting a mixed-methods approach that combines quantitative insights from pre-intervention and post-intervention mental health assessments with qualitative perspectives gathered through user interviews. The dataset, sourced from Kaggle and GitHub, contains authentic conversations between hea...
Mar 01, 2024Open Access
In order to thoroughly implement the Opinions on Promoting the High Quality Development of Modern Vocational Education issued by the General Office of the State Council, optimize teaching modes and improve teaching methods. The paper integrates Professor Keller’s ARCS motivation model and constructs a gamified teaching model that incorporates ARCS motivation strategies based on gamified teaching. The paper mainly introduces the selection characteristics of gamified platforms, the correct use of ...
Jan 31, 2024Open Access
This paper represents a groundbreaking advancement in Parkinson’s disease (PD) research by employing a novel machine learning framework to categorize PD into distinct subtypes and predict its progression. Utilizing a comprehensive dataset encompassing both clinical and neurological parameters, the research applies advanced supervised and unsupervised learning techniques. This innovative approach enables the identification of subtle, yet critical, patterns in PD manifestation, which traditional m...
Dec 01, 2023Open Access
In the contemporary era, artificial intelligence (AI) has introduced transformative advancements that have significant implications for society. Nevertheless, these advancements come with challenges, notably those associated with opacity, vulnerability, and interpretability. The integration of artificial intelligence (AI) systems into various aspects of human life has become increasingly pervasive. Consequently, there is a growing need to prioritize the development of trustworthy and explainable...
Nov 28, 2023Open Access
Human trafficking is the world’s most prevalent and growing crime. Law enforcement agencies have been faced with a lot of challenges worldwide in this area. Over the years different works of literature have tried to sort out methods and techniques for detecting and controlling human trafficking by making use of different types of data available. In this research, an EfficientNet model was developed to help in the detection of human trafficking cases, by classifying an image into a class of chain...
Oct 17, 2023Open Access
Robots are increasingly becoming an important part of older people’s lives as they bring many benefits. However, it is not clear in current research whether older people’s attitudes toward robots are influenced by the robot type. What are the general attitudes of older people toward personal robots and what are the relationships between older people’s general attitudes to robots and attitudes to particular personal robot types? This study recruited 126 older people over the age of 65 from the UK...
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