IAIT

Carry Look Ahead Adders (CLA) minimize duration opposed with various adders through transmitting carry preceding the total output, which leads to better results. They increase efficiency by lowering the duration it takes to figure out carry bits. In ...

This paper presents a new prompting approach for increasing the novelty in ChatGPT responses. ChatGPT has proven to be effective in generating natural language responses; however, ensuring response novelty remains challenging. Our proposed method, ...

The emergence of advanced AI language models has opened up new possibilities for the integration of artificial intelligence in various domains, including tabletop role-playing games. This research explores the potential of ChatGPT, a widely-used large ...

Driver workload assessment is difficult. In spite of decades of effort, there is still no generally accepted method of assessing driver mental workload. Prominent methods include physiological, subjective, and dual-task assessments. While driving ...

In the digital age, the widespread use of online social media corresponds with a rise in spam. These messages often appear as forceful ads, sales offer, gambling promotions, or repetitive chain messages, and they compromise users' experiences and the ...

Child dehydration is a significant health concern, especially among children under 5 years of age, as they are more susceptible to conditions such as diarrhea and vomiting. In Afghanistan, the impact of severe diarrhea on child mortality is exacerbated ...

This study underscores the importance of standard data analytics governance within organizations to leverage the potential of increasing volumes of big data. Even though Thailand has operative frameworks for data governance and AI governance, there lacks ...

The aviation industry has seen considerable changes in recent years, with multiple underlying factors influencing passenger demand. This research delves into these external factors impacting air travel demand in Thailand. By merging historical arrival ...

Traders in financial markets utilize many different technical indicators. One of the most widely used technical indicators in trading is the candlestick pattern, which is the graphical representation of the price movement of a pre-determined time period. ...

Voice assistants (VA) like Siri, Alexa, Cortana, and Google Assistant are on the rise, and are currently integrated into smartphones, and dedicated home speakers. They handle various tasks through voice commands, from home automation, emails to ...

In recent years, social media applications have exhibited significant growth in the number of users. Enhancing content alignment with user preferences is essential in developing a sophisticated recommendation system. Neural networks have become pivotal ...

Although effective technical countermeasures play a pivotal role in safeguarding organizations’ digital assets, the persistent challenge of human factors in cybersecurity cannot be underestimated. This study aims to identify the human factors employed ...

This paper presents a new approach for leveraging ChatGPT in fighting game commentary generation task. Commentary generation often relies on deep learning techniques, which typically demand extensive data to achieve effectiveness. Large language models (...

The emergence of ChatGPT as a generative AI tool has revolutionized the educational scenario by bringing in unprecedented changes. In this respect exploring the factors that affect the adoption and acceptance of ChatGPT services for educational purpose ...

Vulnerabilities are a serious threat to operational systems, networks, and applications. Identifying them in web services is crucial for organizations aiming to safeguard their intellectual property and data. This process involves automated scans to ...

With the gaining popularity of generative AI tools like ChatGPT and their usage across several domains and disciplines, the question that naturally arises is how it can help the Information Systems (IS) researchers? Measuring hidden or latent constructs ...

The core objective of this research is to develop a methodology for selecting a supervised machine learning classification technique based on the specific categories of objects that need to be classified. The study focuses on product categories extracted ...

Font style transfer is a challenging task in computer vision, aimed at extracting the visual characteristics such as stroke contrast and apply them to the content image. In this article, we focus on utilizing SkelGAN, a modified version of the U-Net ...

Economic development is fueled by technological innovation. The digital space economic transformation is expected to be the new economic strategy for Thailand, involving integrating the value chain of the digital and space technology domains. This ...

An accurate pulmonary embolism segmentation from computed tomography pulmonary angiography (CTPA) images is very important in pulmonary embolism diagnosis. However, the segmentation process nowadays is done manually by physicians, making the process time-...

Blood Pattern Analysis is a technique in forensic science that focuses on leftover bloodstains from the crime to recreate the event. However, the fluctuation in air resistance and drop deformity causes the calculations to deviate from the exact values. ...

In most implementations of digital circuitry, multiplication requires the highest latency and computational complexity. Vedic calculations are an ancient system of mathematics that involves mathematical computations to ascertain the multiplication in ...

In the context of digital transformation, effective decision-making is paramount for corporate adaptability and growth. Spreadsheet software provides a familiar platform for accessing, analyzing, and visualizing data. In many instances, decision-making ...

Code-mixing, the practice of seamlessly blending multiple languages or language varieties in communication, is a common linguistic phenomenon among bilingual and multilingual individuals. However, applying code-mixing when communicating with monolingual ...

Image segmentation is an important step in image analysis that aims to segment regions of interest in an image by assigning a label to individual pixels sharing certain characteristics. Otsu-based method is a well-known thresholding technique that ...

The vast majority of healthcare systems are operating at or near their full capacity. Providing an inaccurate diagnosis is a further prevalent issue. Although it is common knowledge that physicians get significant training, it is nevertheless possible ...

Complex problems are frequently tackled using techniques from the realm of computational intelligence and metaheuristic algorithms. Selection of a metaheuristic from the wide range of algorithms possessing various properties to address specific problem ...

Complex problems are often addressed by methods from the domain of computational intelligence, including metaheuristic algorithms. Different metaheuristics have different abilities to solve specific types of problems and the selection of suitable ...

Freezing of gait is a Parkinson's Disease symptom that episodically inflicts a patient with the inability to step or turn while walking. While medical experts have discovered various triggers and alleviating actions for freezing of gait, the underlying ...