AICCONF

This study presents an application of Aspect-Based Sentiment Analysis (ABSA) on a dataset of car reviews collected from the CarDekho website. The dataset comprises reviews for four distinct car models of four popular brands. Our objective was to extract ...

The aim of this study is to employ deep learning models for microstructural image classification. The microstructures provide valuable insights into material's history and properties, but manual classification is time consuming, labor-intensive and ...

The contemporary era has witnessed substantial growth in the Internet of Things (IoT), accompanied by an escalation in data volume due to the proliferation of Internet-connected devices. Unfortunately, this surge has attracted the attention of ...

This work studies the urban area location privacy preserving location updates and nearby friends (NF) querying for the centralized proximity based services (PBSs). The urban area constraint forces the user mobility to be on the city road network, ...

This article is devoted to the development of mathematical support (software) for the study of three-layer rods under spatial loads. Variations in kinetic and potential energy and the work of external volumetric and surface forces of a three-layer rod ...

With the growing global interest in autonomous driving from big car companies and the research community, road lane detection has become a hot topic. In this paper, You Only Look Once for Panoptic Driving (YOLOPv2), which is a deep learning network that ...

ABSTRACT

This paper explores the automated integration of ChatGPT into the feedback process for a large-scale and complex university programming assignment. It aims to explore the feasibility of using ChatGPT to facilitate prompt, efficient, and valued ...

Childhood obesity is a significant health concern impacting children and adolescents. The excess weight often initiates health issues such as diabetes, high blood pressure, and elevated cholesterol levels. Moreover, childhood obesity can contribute to ...

Virtual Reality has revolutionized user experience in various domains. The integration of Virtual Reality into e-commerce platforms is rapidly advancing, offering an immersive experience beyond traditional interactions. This study examines several ...

This article is devoted to the determination of the fractal size of the damaged part of the human brain on the basis of images obtained from MRI (magnetic resonance imaging). There are various mathematical methods for determining the size of fractal ...

Orthogonal Frequency Division Multiplexing (OFDM) has emerged as a fundamental modulation technique in modern broadband wireless communication systems, effectively addressing challenges arising from dispersive channels and random fading phenomena. By ...

DC brushless motors have exceptional characteristics in terms of their speed and torque capabilities. But this outstanding performance comes at the price of potential disturbances that arise during loading. These disturbances can be attributed to the ...

In recent years, due to the natural resources contained in the vast underwater world and the diversity of organisms present in it, including microscopic organisms, coral reefs, seaweed, many types of fish and marine animals, and the presence of ...

This paper explores the evolving landscape of electronic word-of-mouth (eWOM) and its impact on consumer behavior. With the transition from traditional word-of-mouth to online platforms (users’ reviews), businesses now have access to vast amounts of user-...

In this study, velocity analysis of the inverted slider-crank mechanism using a supervised learning algorithm is introduced. Although velocity analysis of a slider-crank mechanism is simple and very well-established, there has been not been an ...

Wireless Sensor Networks (WSNs) play a crucial role in various domains, from commercial to military, enabling precise monitoring of environmental and other conditions. However, the transmission of sensitive data in WSNs poses security challenges, ...

Explainable Artificial Intelligence (XAI) plays a pivotal role in enhancing adaptive learning systems by fostering an environment where transparency is key to developing students' critical thinking skills. In such systems, each learner's experience is ...

The integration of advanced Natural Language Processing (NLP) methodologies and Large Language Models (LLMs) has significantly enhanced the extraction and analysis of geospatial data from multilingual texts, impacting sectors such as national and ...

In the domain of Cyber Threat Intelligence (CTI) the enigmatic depths of the Dark Web are pivotal for the early identification of nascent cyber threats. Yet, the voluminous and sprawling data across hacker forums and illicit marketplaces pose a ...

Swarm intelligence is a a branch of artificial intelligence grounded in the observation that swarms of simple individuals or agents with very limited intelligence can achieve remarkably intricate collective behaviors through decentralized low-level ...

This research introduces an Intelligent Food Recommendation Framework leveraging social media Behavioral Data, explicitly focusing on Instagram. It posits that users' engagements with food-related content on Instagram offer insights into their food ...

Breast cancer is a significant health issue for women, being one of the most common types of cancer and the second leading cause of death among them. Detecting breast cancer early is crucial for effective treatment. While ultrasound is often used for ...

Abstract In the field of Information Retrieval and Natural Language Processing, text embeddings play a significant role in tasks such as classification, clustering, and topic modeling. However, extending these embeddings to abstract concepts such as ...

Android devices are central to our daily lives, which leads to an increase in mobile security threats. Attackers try to exploit vulnerabilities and steal personal information from the installed applications on these devices. Because of their widespread ...

Autism spectrum disorder (ASD) is a complex neurological developmental disease that appears in a variety of ways[8]. Most autistic children are not diagnosed until they are at least three years old [6] [13]. Abnormal facial traits caused by development ...

The role of artificial intelligence (AI) in idea management systems (IMS) and innovation processes has recently been a topic of significant research interest. AI has been acknowledged for its potential to enhance innovation activities by providing ...

In this article, we introduce the T-X exponential (ETX) group of distributions. An updated expansion of the Frechet model is presented using the proposed methodology. The suggested technique for modeling heavy-tailed data is highly flexible. Several ...

The article offers suggestions about mathematical modeling of architectural objects based on the functional image using the constructive operations of the theory of R-functions. Given in 2D format 3D surface from the data equations work exit according to ...

Currently, studies of double nonlinear equations and systems of double nonlinear equations representing many processes found in nature are considered relevant and necessary. These equations and systems, as a rule, are nonlinear, degenerate, and have ...

This study underscores the critical importance of computer energy efficiency within institutions, using advanced tools to passively gather information for a rigorous analysis of computing devices' energy consumption. By examining a diverse array of over ...