The diagnosis of depression has always been a difficulty in its treatment. At present, the research on automatic depression detection mostly directly uses low-order features such as video, audio and text as input. The lack of guidance of high-order ...

Mindfulness is a condition that entrepreneurs have and is very important because it involves the alignment of mind, soul, and body so as to produce more appropriate intentions, actions, and strategies. The entrepreneurial mindfulness application was ...

SycnMap has been recently proposed as an unsupervised approach to perform chunking. This model, which falls under the paradigm of self-organizing dynamical equations, can achieve learning merely using the principle of self-organization without any ...

Artificial intelligence (AI) and chatbots have been gaining popularity in recent years because of their ability to converse naturally and their wide array of applications. A chatbot is a software tool that can be used to simulate human conversation with ...

In the era of artificial intelligence, vocational education must accelerate its own reform to dynamically adapt to the needs of changing skills. In the face of the era of artificial intelligence, vocational education should first adjust the training ...

Effective sentiment analysis on social media data can help to better understand the public's sentiment and opinion tendencies. Combining multimodal content for sentiment classification uses the correlation information of data between modalities, thereby ...

Patient care is a critical task, which requires a lot of effort. Medical practitioners face many challenges, especially during diagnosing different diseases. Sepsis is one of the riskiest diseases, which proves to be lethal for Intensive Care Unit (ICU) ...

As an endangered language, Tujia language is a non-renewable intangible cultural resource. Automatic speech recognition (ASR) uses artificial intelligence technology to facilitate manually label Tujia language, which is an effective means to protect ...

This research article crafted, evaluated, and revised a theoretically underpinned design concept with the purpose of enhancing customers’ dine-in experiences. The design concept was motivated by the considerable interest in artificial intelligence (AI),...

A lot of effort has been devoted to reading resistor colors using image processing and pattern recognition techniques. It is not so clear which classifier or machine learning is effective for classifying colors in reading a resistance of a resistor. ...

Neurological diseases, such as ALS and Stroke, that affect the brain including the nerves found throughout the body including the spinal cord generally require various forms of testing and clinical diagnosis in order to detect. These current forms of ...

In this paper, the audio-to-image generation problem is investigated, where appropriate images are generated from the audio input. A previous study, Cross-Modal Contrastive Representation Learning (CMCRL), trained using both audios and images to extract ...

A deep learning approach is believed to be one of the most useful for image pattern recognition. Generally, deep learning requires a large number of samples. In particular, it is prone to overlearning when the number of training samples is small. ...

Since time immemorial, violence has been a problem that the world has been facing. The rise of technology has presented an opportunity to help in this matter. Violence detection solutions have been created for this cause. The problem with existing ...

Leukemia is a form of blood cancer that damages the cells in the blood and bone marrow of the human body. It produces cancerous blood cells that disturb the human's immune system and significantly affect bone marrow's production ability to effectively ...

Number recognition can be an important and necessary challenge because handwritten numbers are not similar in size, thickness, position and direction; this method should consider different difficulties to deal with the difficulty of recognizing written ...

Over the past two decades, affective computing has garnered considerable attention. However, affective computing using body modality is still in its initial stages. Body affect detection using 3D skeletal data or motion capture data has seen some ...

Remote sensing imaging is frequently disturbed by clouds which leads to unclear images with low contrast and poor resolution. Cloud obstacles usually arouse the valuable information loss of remote sensing images. Technology of cloud removal from single ...

The wide application of drones not only brings convenience to production and life, but also poses a threat to public safety. Therefore, the detection of s is crucial. However, tiny drones make it difficult to cope with traditional detection methods such ...

Thailand is a tropical country with high average solar power across the country. This makes Thailand a very suitable area for utilizing this kind of clean energy. However, not all areas in Thailand have high solar power all year round. This research is ...