Computational & Data Sciences

Background: Automated lesion classification and interpretation of pediatric abdominal X-rays is clinically important but constrained by data scarcity and strict privacy regulations. Synthetic image-caption pair datasets …

Background: Museum artwork recognition presents distinct challenges: extreme data scarcity (typically one training image per title), museum-specific imaging conditions, and high intra-class visual variability that requir…

Intelligence quotient IQ is a number claiming to measure the intelligence of a human been. This number is established based on psychometric testing. In use in the English-speaking world, there is a variety of individuall…

Background: Wearable technology and multidimensional data analysis present significant opportunities for the continuous, real-time monitoring of cognitive overload, potentially identifying early warning signals before pe…

This paper proposes a set of non-parametric statistical functions designed to analyse non-linear systems within the context of refined educational management. Recognizing the limitations of traditional parametric methods…

The outbreak of COVID-19 pandemic in early 2020 led to decisions by both the federal and state governments in the United States of America (hereafter, governments) to implement policies about staying at home to reduce th…

We propose a distributed representation approach for domain names based on DNS queries. This distributed representation enables domains to be embedded into vector spaces with reflecting data exchange in networks. Since t…

The rapidly advancing field of AI has brought numerous benefits to humanity. However, there are already considerable risks, and it is predicted that AI may become life-threatening once [and if] it attains the status of s…

Objective: The primary objective of this study is to develop a QoS-aware task scheduling algorithm for LoRaWAN IoT applications using a Reinforcement Learning (RL) approach.Introduction: LoRaWAN is a widely adopted Low P…

A multi-spurline bandstop filter designed based on Teflon substrate to have a high-performance bandstop filter for fixed wireless system operation. The multi-spurlines are arranged symmetrically and simulated by using So…

Long-distance optical fiber communication is a crucial technology enabling high-speed data transmission over vast distances. Utilizing light waves to transmit information, this technology offers significant advantages, i…

Background: In oncology, Patterns of Care (PoC) provide a detailed overview of all cancer-treatment interventions and recapitulate the entire patient’s journey. While manual-chart PoC reviewing is time-consuming, the u…

Falls are a pervasive problem facing elderly populations, associated with significant morbidity and mortality. Prompt recognition of falls, especially in elderly people with cognitive or physical impairments who cannot r…

The major challenges in terms of development lead us to focus in this work on the identification and evaluation of the impacts due to Artificial Intelligence (AI) and robotization. It emerges that the results of scientif…

In digital healthcare systems, with digitalization, data can be easily accessed. Considering the sensitivity of confidential information, the need for security is accelerated during this time. One of the most important s…

Early detection of breast cancer and effective identification of its correct stage remain major challenges for healthcare professionals. Testing the tumour for Oestrogen Receptor and Progesterone Receptor is a standard p…

The word biometry or its derivative, biometrics, depicts the need for close interdisciplinary research among big data systems, mathematics, and statistical sciences. Reports headed with the word biometrics are constantly…

The present paper proposes a new regularised Trefftz method to recover the boundary value on a non-accessible boundary of an annulus from overdetermined data on the accessible boundary of that annulus. Considering that t…

Background: The joint interest of clinicians and the laboratory test industry during the recent pandemic of the Coronavirus Disease 2019 (COVID-19) resulted in an explosion of accessible assays for COVID-19 serological t…

The purpose of grain storage management is to dynamically analyze the quality change of the reserved grains, adopt scientific and effective management methods to delay the speed of the quality deterioration, and reduce t…

Finding new antimicrobial agents from natural compounds with less side effects has been considered by number of researchers in the world. It is important to achieve efficient and up-to-date results in order to identify a…

Since 1940, mass production of polyolefin plastics produced annually has increased rapidly [1]. The most common plastics, which account for approximately 80% of the European plastic demand, are: Polyethylene (PE), Polypr…