Procedia Computer Science

Hyperbolic spaces have recently achieved acceleration in the context of machine learning of their high capacity and tree-likeliness structures, taxonomies, text, and graphs. With the same dimension, a hyperbolic vector can represent richer ...

This paper presents an ongoing study of a novel attack surface generator tool for smart contracts developed in Solidity. The tool leverages a rule-based engine and ChatGPT API for security analysis. The rule-based engine provides numerical values ...

In recent years, vehicle traffic has become a major issue with a significant increase in the number of vehicles, leading to congestion on urban roads and motorways. This has resulted in an increase in accidents, causing more injuries and ...

Bundle AI is a marketing tool project motivated to provide solutions for manual product bundling, a popular marketing strategy that boosts sales of low-selling products and encourages mass purchases with promising customer satisfaction. It is a ...

The Fifth Generation (5G) New Radio (NR) wireless system is the most promising next-generation solution to meet the needs of the increasing demands of mobile market. Orthogonal Frequency Division Multiplexing (OFDM) is the fundamental transmission ...

Deep learning techniques have shown significant impact in enhancing security across various domains by leveraging artificial neural networks models. When applied to cloud computing security, deep learning offers cost-effective solutions by ...

This work presents a study to evaluate the usability of handheld and wearable Augmented Reality (AR) devices for object manipulation in an individual and collaborative AR environment. We propose a scenario that incorporates physical props to ...

Our article aims to resolve the scheduling instances in a job shop, hereinafter referred to as JSSP. The objective is to minimize the makespan, or the maximum amount of time needed to complete all tasks. In this contribution, we study an improved ...

The Aquasense project is a multi-site Innovative Training Network (ITN) in water and food quality monitoring using autonomous sensors and intelligent data gathering and analysis. This paper aims to study the most suitable communication system ...

This paper provides a method for predicting the energy efficiency of buildings using artificial intelligence tools. The scopes is twofold: prediction of the levels of the heating load and cooling load of buildings. A feature of this research is ...

This research applies design thinking to craft a prototype for a digital participation strategy that boosts the ability of Colombian communities to protect natural ecosystems. It delves into modern digital involvement trends related to ...

The Smartphone VANET (Vehicle Ad-Hoc NETwork) is a novel concept for VANET using smartphones as On Board Units. VANET technology has great potential to reduce injuries and fatalities on our roadways. The smartphone presents many disadvantages ...

The rapid global expansion of the taxi industry has brought significant safety concerns regarding taxi trips, particularly related to the frequency of taxi crashes and their potential impact on road safety. To address this issue, the present study ...

The characteristics of drivers vary from one individual to another and one culture to another, leading to distinct driving behaviors exhibited by different drivers. This study aims to explore drivers’ car-following behaviors during tailgating ...

One of the most relevant problems today is to increase security and safety of computation and data without incurring in relevant performance loss. This is especially important in compute intensive areas such as cloud computing and mobile devices. ...

This research focuses on developing a Convolutional Neural Network (CNN)-based machine learning algorithm for detecting anomalies in Fused Deposition Modelling (FDM) 3D printers. To develop the CNN algorithm, the training data was obtained from ...

The following research article constitutes a comprehensive review of state-of-the-art methodologies and problems addressed by current academic literature in the field of deploying autonomous Unmanned Aerial Vehicles (UAVs) for disaster management. ...

Overlay attacks have long been a significant security concern affecting Android devices. Despite Android touch prevention mechanisms for external apps, internal apps and those sharing the same userID remain susceptible. Contrary to Android's ...

This study introduces an innovative information system leveraging machine learning and deep learning techniques, aiming to forecast and facilitate decision-making in the remediation of soils laden with toxic elements. Our investigation utilizes an ...

This study presents the development of a novel automated system, Rapid Analysis and Detection of At-risk students with Artificial intelligence-based Response (RADAR), that utilizes explainable artificial intelligence (XAI) to identify students who ...

This paper presents the design, implementation, and practical use of a specialized online data repository and an interactive visualization of a transportation dashboard. Specifically tailored to handle and interpret large-scale transportation data ...

With the latest developments in transportation technologies and services, the concept of MaaS has spawned its way, where consumers can purchase access to different modes and services owned and operated by several mobility service providers through ...

This research article aims to forecast international migration in Kazakhstan until 2060. International migration is a critical determinant in shaping the demographic composition of a country and may have significant socio-economic and political ...

This study explores the integration of Augmented Reality in civic education within Maker Space Museums. We devised a methodology using feedback from students at the University of la Costa, Villavicencio, Colombia, and applied legal design ...

Nowadays, authentication remains a crucial and primordial process in securing Information Technology (IT) systems and infrastructures, while keeping users’ data more secure and privacy-preserving. Indeed, finding a distinctive characteristic(s) ...

Stock market forecasting is a classic but challenging problem that has attracted the attention of economists and computer scientists. The activity of trading involves high risks, the investors may lose a part of the totality of the amount they ...

The rapid evolution of mobile technologies has ushered in a new era of connectivity, particularly with the advent of the Fifth Generation (5G) technology, which promises low latency and high throughput. However, with the exponential growth of ...