ICAAI

This paper discusses the possibilities of using machine learning models to analyze the keys in public key encryption algorithms that are based on various mathematical hard problems. Given their distinct domains within computer science, machine learning ...

Multi-Person Speech Curator for Minutes of Meetings refers to a system where we can generate the summary of a meeting from the audio recording of the meeting using automatic speech recognition (ASR) and NLP algorithms. The system can identify and ...

This work introduces a novel deep learning architecture called Primed UNet-LSTM. It has been tested in the weather forecasting task using satellite data. Its hidden state is primed with atmospheric data before the first time step, which gave better ...

Face recognition is a type of pattern recognition problem which allows humans to be identified thanks to their face images. One of the most important steps in recognition is the extraction of features which is usually carried out using algorithms and ...

This study investigates the realm of machine learning for the classification of different fire types using NASA's FIRMS MODIS satellite data for the Mediterranean basin. Concentrating on the Mediterranean basin and utilizing data spanning from 2019 to ...

Over the years, machine learning and deep learning have shown tremendous potential and good accuracy in the detection of Chronic Kidney Disease (CKD). Yet, these models are being criticised for their opaque decision-making process. To date, few studies ...

Cyberspace has inflated over the past decade, primarily driven by pervasive development and widespread usage of the internet. Prolonged cyber-attacks and security vulnerabilities have become more common as a consequence. A recent study conducted by ...

Air pollution is the presence of any air pollutant that can affect human health, environment, plants, and animal life. Urban areas are increasingly facing the detrimental consequences of air pollution. Therefore, pollution prediction for urban areas ...

Digitalization is crucial for achieving product quality, cost reduction, and timely delivery in manufacturing. With the rise of Industry 4.0, Digital Twin technology has gained popularity, enabling real-time monitoring, predictive maintenance, process ...

With the rapid evolution of the internet, widespread interactions occur across diverse media platforms, including Twitter. Tweets shared on Twitter often need to be categorized into different sentiment polarities, often referred to as multi-class ...

The work describes various manifestations of ageism, including stereotypes, prejudice, discrimination and marginalization. As a social phenomenon, ageism can have serious negative consequences for both individuals and society as a whole, including low ...

The growing demand for Internet of Medical Things (IoMT) sensors within the healthcare sector has emphasized the necessity for robust security measures. However, these devices, often constrained by limited resources, frequently require external ...

Hearing, speech, and sight are the three key factors that aid in communication. Hearing and speech impaired people often find it hard to communicate their emotions because they lack two of the three essential communication requirements. The communication ...

In the field of fake news, the topic of food safety has gradually emerged as a focal point of concern. We have exhaustively scoured the relevant scholarly literature pertaining to the detection of fake news in the domain of food safety. Unfortunately, ...

The development of large language models (LLMs) has led to the consideration of new approaches, particularly in education. Word problems, especially in subjects like mathematics, and the need to solve these problems by collectively addressing specific ...

The professional activity of a person depends on his knowledge, skills and abilities, and secondly, on the knowledge he has acquired through the professional environment and information-educational resources. Therefore, the improvement of knowledge is ...

Aiming at the problem of difficult detection of maritime ship targets, which is prone to false detection, missed detection, and low recognition accuracy. In this paper, an improved ship target detection algorithm, YOLOv5, is proposed. firstly, the ...

In the context of identifying colorectal lesions in colonoscopy images, previous AI models have predominantly focused on identifying abnormalities without providing comprehensible explanations for their predictions. To address this limitation, this ...

The number of traffic accidents has increased steadily in recent years all over the world. According to the US National Highway Traffic Safety Administration, 45 percent of traffic accidents are caused by a distracted driver. This work deals with the ...

Convolutional Neural Networks (CNNs) have been the state-of-the-art techniques applied in the field of medical imaging for numerous image processing tasks. Recently, vision transformer networks are emerging as another technique, complementing current ...

Object recognition could be successfully applied to problems such as object counting [3]. This transition makes this kind of technology interesting for numerous industries where automation and quality assurance based on visual information are possible. ...

This study investigates the application of neural network algorithms in the domain of gait recognition, with a specific emphasis on their effectiveness. Using data acquired from wearable Inertial Measurement Units (IMUs) during controlled walking trials, ...