Efficient management of financial resources is vital for the sustainable operation of banks, particularly in optimizing policy acquisition to ensure liquidity and enhance financial planning. This paper introduces an intelligent decision support ...

Traditional economic theory revolves around information asymmetry, where some possess more knowledge than others. However, the digital age is upending this paradigm. This research proposes a groundbreaking shift: a transition from an Asymmetric ...

The environment of the epidemic is a life changer for everyone, and specifically for the educational system is progress. In order to overcome the challenges in the educational system, this study proposes a new intelligent approach to teaching and ...

Plant disease detection is one of the main challenges in the agricultural sector, acknowledged as a significant contributor to crop losses, negatively impacting food production and the global economy. In response to this issue, novel agricultural ...

Artificial intelligence-based credit scoring methods are becoming more and more popular because of the big data revolution and recent improvements in computing capacity. Since the accuracy of credit scoring models has a significant impact on the ...

For the efficient monitoring and control of crop health, the timely and precise diagnosis of plant diseases is essential. Traditional techniques of disease diagnosis rely on visual examination by human experts, which can be laborious, arbitrary, and ...

This paper presents a comprehensive approach to predicting the ratings of bakery establishments on diverse online platforms using natural language reviews. The study incorporates Large Language Models (LLMs) and Aspect-Based sentiment analysis to ...

Heart failure (HF) is a cardiovascular disease characterized by the inability of the heart to pump the necessary amount of blood. According to the World Health Organization, cardiovascular pathologies are the leading cause of death worldwide, so ...

Bipolar Disorder (BD) is a chronic and severe psychiatric illness presenting with mood alterations, including manic, hypomanic, and depressive episodes. Due to the high clinical heterogeneity and lack of biological validation, both treatment and ...

In this paper, on the example of finite difference solving the problem of seismic wave propagation in elastic 3D media the features of the development and optimization of parallel codes for various multicore architectures (Intel Broadwell, Knights ...

At present, edge computing is more and more widely used in the development process of various industries. With the stable development of social industrial structure, the development scale of enterprises is gradually expanding, the project production ...

• N-GKLS can generate NMPC problems based on user-defined parameters.
• Optimal-...

Nonlinear Model Predictive Control (NMPC) solves a series of optimization problems online during the entire operational time of the controlled plant, and the performance of NMPC depends on the superiority of the solver embedded in ...

The outward-bound training has been a popular manner to exercise in daily life. However, there lacks an intelligent assistant system to monitor the real-time status of users to avoid accidents during training. In order to fill this gap, this paper ...

In this article, we present a survey of using artificial intelligence tools and measure their impact on the performance of the judicial system. We study its methods, its challenges, and its potential impacts, as well as its famous applications. ...

Noncommunicable Diseases (NCDs) are a leading global health challenge, causing 41 million deaths per year. Risk factors include genetics, environmental factors, and lifestyle choices. Adopting healthy lifestyles can prevent or delay the onset of ...

With the popularization of computers and various mobile intelligent terminals, intelligent multimedia teaching systems with learners as the main body are more and more favored by learners, which affects and changes the methods and modes of Japanese ...

The Large Hadron Collider (LHC) demands a huge amount of computing resources to deal with petabytes of data generated from High Energy Physics (HEP) experiments and user logs, which report user activity within the supporting Worldwide LHC Computing ...

In distributed information retrieval systems, information in web should be ranked based on a combination of multiple features. Linear combination of ranks has been the dominant approach due to its simplicity and efficiency. Such a combination scheme ...

Different drivers’ states and emotions can affect negatively the driving performance. Recent advances in affective computing now give the opportunity to measure the users’ state or emotions using various sources of data such as physiological signals or ...

There is a growing use of intelligent systems to support human decision-making across several domains. Trust in intelligent systems, however, is pivotal in shaping their widespread adoption. Little is currently understood about how trust in an ...