All of the articles in this proceedings volume have been presented at the ICAIC 2024 during July 10-11th in Davos, Switzerland. These articles have been peer reviewed by the members of the Program Committee Members and approved by the Editor-in-Chief, who affirms that this document is a truthful description...

This study aims to solve the challenge of hallucination in Large Language Models (LLMs) through the implementation of Retrieval Augmented Generation (RAG). Especially the case of answering legal questions. Using Canada’s Criminal Code as dataset, the research first converts the code to the text file...

Minimally invasive surgery (MIS) does offer many advantages over traditional open surgery, including less trauma, shorter hospital stay, less pain, and a lower risk of infection. However, there are some limitations to Mis, especially the technical challenges associated with the surgical scenario. Based...

With the advancement of deep learning technologies, computer vision has shown unprecedented potential in the field of action recognition. Particularly in table tennis, action recognition technologies not only help athletes improve their techniques but also provide real-time feedback during training and...

Currently, there is a growing demand for the healthcare industry in society, generating vast amounts of complex data that are difficult for humans to process. Therefore, relying on data mining technology to analyze data can help the development of the medical field. This paper discusses the application...

Animal behavior analysis is crucial for understanding the mechanisms of survival, adaptation, and evolution in species. It provides insights into animal cognition, social structures, and ecological roles. In this thesis, the authors discuss the application of computer image recognition technology in...

Nowadays, Artificial Intelligence (AI) and Multimodal Emotion Analysis represent cutting-edge advancements in the realm of computational intelligence. AI, the emulation of human cognitive processes by machines, has revolutionized various fields, including emotion analysis. Multimodal Emotion Analysis...

In the rapidly advancing field of medical simulations, cosmetic surgery simulations have become crucial tools for surgical planning, training, and enhancing patient communication. These simulations allow surgeons to visualize and predict post-operative outcomes, which aids in making informed decisions...

People usually use hand-drawn sketches to draw simple lines to express or record their ideas and intentions and create images or videos by hand-drawing. For some people who are not specialized in the field of art, the sketches of the same object will vary depending on the artistic style and drawing ability....

With the continuous growth of the economic level, disease and health problems have attracted more and more attention. Emotions and diseases are inextricably linked, which can be used as the response signal of physical diseases. Accurate emotion recognition is crucial for enhancing communication, improving...

Distributed acoustic sensing (DAS) can provide high sensitivity and spatial resolution remote positioning and monitoring capabilities, making it widely used by researchers for peripheral security applications. However, in daily use, complex environments can lead to low accuracy and poor real-time performance...

Dementia is a serious problem worldwide, which brings great trouble to people’s life. Therefore, to better control this disease, it is necessary to find out the main factors of dementia. Artificial Intelligence and machine learning can be very good at solving this kind of issue. This research is based...

Anxiety management is crucial for mental health, which helps individuals navigate through stress and prevents it from escalating into debilitating disorders. Identifying symptoms early can lead to more effective management strategies and reduce the risk of complications, such as depression. Early intervention...

Image generation is crucial in the digital age, revolutionizing the way that people perceive and interact with visual content. It is a cornerstone for various industries, from advertising and marketing to film production and gaming. By enabling the creation of images, it fuels creativity, enriches storytelling,...

Facial emotion recognition is vital for enhancing human-computer interactions, providing personalized services, and diagnosing mental health conditions. This technology holds promise for improving accessibility and emotional intelligence in various fields, from healthcare to education. In recent years,...

This article delves into the application of instruction fine-tuning for enhancing automated writing capabilities. Instruction fine-tuning involves further training a large language model (LLM) on datasets comprising specific instructions and corresponding outputs. This process enhances the model's...

In today’s practice of medicine, imaging has significantly transformed the process of disease diagnosis, especially in neurology with brain tumor identification. Image segmentation, crucial for accuracy and efficiency, has been enhanced by U-net architecture. This neural network effectively segments...

The inheritance and development of traditional Chinese medicine are facing limitations and significant challenges in today's society. This article combines the Large Language Model (LLM) model with the Retrieval Augmented Generation (RAG) model to address this issue, helping medical students to...

Depression, a prevalent mental illness, increasingly manifests in the digital expressions of individuals on social media platforms. This paper explores the use of multimodal aspect-level sentiment analysis for detecting depressive tendencies from social media data, a method that surpasses traditional...

The rapid advancement of Artificial Intelligence (AI) technology has significantly influenced the gaming industry, enhancing both player experiences and developer efficiency. This review explores key issues such as improving game interactivity and challenge through AI, and addressing technical challenges...

This work aimed at predicting Tesla’s stock price with focus on high volatility environments by the aid of machine learning algorithms. The research work covered the period between January 2019 to April 2024, the dataset sourced from Yahoo Finance and contained historical stock prices of the selected...

Stocks play a crucial role in the field of financial investment, and achieving more accurate stock price predictions is a key focus for today's investors and scholars. However, current algorithms predominantly focus on stable periods and are somewhat inadequate in studying stock price trends during...

In recent years, the recognition of facial expressions has become a highly popular area of study, carrying significant importance for the advancement of scientific and technological progress. Face expression recognition has a very wide and practical application in many fields such as medical treatment,...

One of the leading causes of permanent blindness worldwide is glaucoma. It now affects over 81 million individuals and is projected to harm 112 million people by 2040. Because symptoms are often asymptomatic in the early stages, many cases are severe when detected, resulting in vision loss and reduced...

Animal Recognition Technology has an important role to play in identifying and conserving species. As society continues to progress and people's standard of living improves, it intensifies environmental pollution and ecological damage, which inevitably increases the risk of species extinction, thus...

Recently, advancements in remote sensing technology have led to the collection of a large volume of remote sensing images. Nevertheless, these images are always influenced by atmospheric phenomena such as haze, which reduce their clarity and quality. Traditional dehazing methods and convolutional neural...

The pervasive integration of deep learning within the realm of image generation has catalyzed profound advancements and breakthroughs in this technology. The advent of emblematic models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) has positioned image generation...

This research introduces a cutting-edge facial emotion recognition (FER) system that leverages deep learning methods to significantly enhance the precision and resilience of detecting emotions from facial expressions. The proposed approach utilizes a meticulously optimized convolutional neural network...

This paper examines the role of Chat Generative Pre-Trained Transformer (ChatGPT) as a chatbot in the context of teaching English as a second language, particularly for non-native speakers who face learning difficulties. The emergence of ChatGPT provides significant support to English teachers in lesson...

Animal behavior provides crucial insights for advancing ecological and animal husbandry research. With the advent of deep learning technologies, the accuracy and efficiency of animal behavior recognition have significantly improved. Initially reliant on manual feature extraction, the field has evolved...

The Internet has seen significant advancements in recent years, yet elderly individuals have historically struggled to reap its benefits. With the advent of artificial intelligence (AI), this technology promises to bridge the digital divide for the elderly. Despite numerous reports highlighting the rising...

Driver fatigue is a critical safety concern that significantly increases the risk of accidents on roads. By analyzing patterns and behaviors through sophisticated algorithms, deep learning can predict fatigue states and alert drivers, thereby enhancing safety. Its predictive capabilities can also inform...

A common progressive disease called osteoporosis is defined by a steady decline of bone density that weakens bones and raises the risk of fractures. This condition significantly impacts the quality of life of affected individuals, particularly among the elderly. The goal of this study is to identify...

Non-Player Character (NPC) logic, is crucial for game realism and playfulness as it determines the behavior and interactions of all non-player entities within a game. Intelligent NPC logic allows characters to respond to player actions and in-game events in a believable manner, creating a more immersive...

This review investigates the impact of carbon dioxide (CO2) concentration changes on climate prediction in the context of global warming. By analyzing historical climate data, CO2 monitoring records, and recent scientific advancements, the paper underscores the strong correlation between rising CO2 levels...

Keywords can provide general and significant information about documents; they allow readers to overview the text before deciding whether to read through or not. However manually selecting keywords from texts faces problems such as time consumption so efficient automatic keyword extraction methods are...

With the deterioration of the marine environment, it is crucial to protect marine biodiversity. This paper implements and compares the performance of various models for their accuracy in species identification. ResNet50V2 obtained an accuracy of 79.62% on its validation set, according to the study's...

This article provides a literature review on the application of machine learning in athlete pain detection. This review can help future researchers and learners gain a general understanding of the current research status and future expectations of machine learning in the field of athlete pain detection....

In today's social environment, the risk of breast cancer for women is increasing, and breast cancer has exceeded lung cancer as the most common cancer nowadays. However, if detect breast cancer at an early stage and measures are taken, it can be very effective in improving the chances of survival...

Insurance is a crucial component of modern society and insurance fraud inflicts significant financial losses on candid customers, insurance companies, and the entire economy. The insurance industry constantly searches for measures to confront the challenge of fraudulent claims. Traditional ways to identify...

In a classroom setting, manual roll call consumes a significant portion of the limited available time. To address this issue, automatic attendance systems offer a solution. This paper presents an improved automatic attendance system based on facial recognition through a thorough analysis of previous...

In the digital age, recommender systems have become instrumental in managing information overload by delivering personalized content recommendations. This paper conducts a thorough review of the evolution of deep learning techniques in recommender systems, tracing their development from the initial collaborative...

Cirrhosis is the terminal manifestation of chronic liver disease, and serious complications often accompany patients. The correlation analysis of clinical characteristics and stages is very important for disease management. Clarifying the correlation between clinical characteristics and stages of liver...

It is necessary to optimize Heating, Ventilating and Air Conditioning (HVAC) system efficiency, significantly reduce energy consumption and costs, and minimize carbon emissions by accurately predicting occupancy patterns using advanced Machine Learning (ML) and Deep Learning (DL) techniques. This research...

Since the 21st century, cardiovascular disease (CVD), which has a high rate of morbidity and mortality, has become one of the most prevalent and fatal diseases. Therefore, machine-learning and deep-learning-based heart disease prediction models hold substantial research value in the medical field with...

With the continuous improvement of computing power and the explosive growth of data scale, the application of large models in the field of artificial intelligence (AI) has become more extensive and deeper. In particular, large-scale machine learning models, such as deep neural networks ((Generative Pre-trained...

Stock forecasting has always been a popular research topic in the economic market. In current years, machine learning methods have been generally used in stock forecasting, which has unique advantages over traditional stock forecasting methods. This paper collects the relevant literature in recent years,...

With advancements in artificial intelligence and finance, numerous academics have delved into credit risk assessment using machine learning techniques. Credit scores are vital for the stability of financial institutions both in China and abroad. Traditional methods of identifying user defaults can no...

To ensure sustainable use of water resources and protect a robust ecological environment, developing effective and precise models for assessing water quality is essential. This research focuses on training detection models using water sample data collected in India. After preprocessing the data and constructing...

Currently, machine learning is widely used to predict the winning rate of various games. As one of the most popular games among young people, predicting League of Legends is significant for both the players and the game. In order to identify the factors that affect game results, and predict the wining...

In the fields of computer science, artificial intelligence, and medical science, brain tumor detection is quite important. This paper proposes a strategy utilizing Convolutional Neural Networks (CNNs) to build a detection model. CNNs, by simulating the human brain's processing of visual information,...

The Prisoner's Dilemma is a classic example of a game in game theory where two players must decide independently whether to cooperate or betray the other, with the outcome of their choices affecting both their rewards or punishments. This study utilizes the Q-Learning algorithm to solve the problem...