Available Online: 17 Mar 2026
Volume 3
Mircea Ţălu
talu.s.mircea@gmail.com
Available Online: 28 Jan 2026
Volume 3
Mohammad Amaz Uddin
amazuddin722@gmail.com
Iqbal H. Sarker
m.sarker@ecu.edu.au
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) tasks, enabling critical capabilities in fields such as business and finance with their cybersecurity analysis. In particular, LLMs are becoming vital in cybersecurity in providing more accurate solutions to different types of threats, vulnerabilities, and security challenges through pattern recognition, intelligent response generation, and automating threat detection. Although LLMs are pre-trained with a large amount of knowledge, their application in..
Available Online: 23 Dec 2025
Volume 2
Orchidea Maria Lecian
omlecian@gmail.com
The sheaf cohomology of topological shift for the block-rectangular matrixrepresentation of the hierarchical Markov Model is endowed with the analytical codification of white noise and of random effects. New analytical techniques for fragment sequencing are developed. The fragment sequencing is obtained after the topological Markov chain of the adjacency matrix of the corresponding undirected graph; the presence of white noise and that of random effects are comprehended. The paradigm consists..
Available Online: 23 Dec 2025
Volume 2
Arbiona Shukulli
arbionashukulli@precacollege.org
Rahaf M. Ahmad
700039113@uaeu.ac.ae
Available Online: 17 Dec 2025
Volume 2
Andreea V. Cojocaru
candreeavalentina@gmail.com
Stefan Balint
stefan.balint@e-uvt.ro
This paper, present a fuzzy, computational model for the natural languish world ‘human intelligence’. This is a mathematical model, which takes into account on different kind of understanding of the word ‘intelligent’ and make possible the comparison between different kind of understanding of the word ‘intelligent’ in case of a given IQ index. The model is a linguistic variable mathematical model, build especially for the word ‘human intelligence’ and is..
Available Online: 11 Dec 2025
Volume 2
Mohamed Zarboubi
mohamed.zarboubi@edu.uiz.ac.ma
Abdelaaziz Bellout
abdelaaziz.bellout@edu.uiz.ac.ma
Samira Chabaa
s.chabaa@uiz.ac.ma
Azzedine Dliou
a.dliou@uiz.ac.ma
Published: 08 Dec 2025
Volume 2
Yi-Hsueh Tsai
yihsuehtsai@g.ntu.edu.tw
Shiang-Jiun Chen
annette@ntut.edu.tw
Published: 25 Nov 2025
Volume 2
Jehan Kadhim Shareef Al-Safi
jihan.k.shareef@utq.edu.iq
Intelligent Reflecting Surfaces (IRSs) are essential for energy-efficient 6G networks; however, enhancing their performance to attain both elevated data rates and energy efficiency continues to be a formidable challenge. This paper uses artificial intelligence (AI) to solve this problem by creating a new AI-based optimization algorithm called Dynamic and Static Particle Swarm Optimization (DS-PSO). The suggested AI method intelligently learns the best phase-shift settings for IRS elements, balancing exploration and..
Published: 24 Oct 2025
Volume 2
Yih-Chang Chen
cheny@mail.cjcu.edu.tw
Chia-Ching Lin
lincc@mail.cjcu.edu.tw
Published: 19 Sep 2025
Volume 2
Constantine Andoniou
constantine.andoniou@adu.ac.ae
Published: 16 Sep 2025
Volume 2
Reyan Hussain Shaikh
reyan.shaikh@scholar.aku.edu
Afsheen Raza
raza.afsheen@adu.ac.ae
Saqib Raza Khan
saqib.khan@lhsc.on.ca
Cardio-oncology is a specialized field focused on delivering effective cancer therapies while minimizing cardiotoxicity. It also involves strategies for the timely identification and appropriate management of cardiovascular complications arising from cancer treatment. Cancer patients have the highest mortality from cardiovascular disease, underscoring the critical importance of the field of cardio-oncology. Currently, data on the outcomes of specialized cardio-oncology services are limited, highlighting a pressing need to establish a comprehensive and..
Published: 05 Oct 2025
Volume 2
Zhihang Zhang
23125148@bjtu.edu.cn
Feng Wang
feng.wang@bjtu.edu.cn
Peng Li
lipeng@bjtu.edu.cn
Published: 08 Aug 2025
Volume 2
Yemi Taiwo
yemstrad@gmail.com
Oladimeji Ismaila
woismaila@lautech.edu.ng
Adebisi Baale
aabaale@lautech.edu.ng
Olufemi Awodoye
ooawodoye50@lautech.edu.ng
Isiak Adeyemo
iaadyemo22@lautech.edu.ng
Temitope Taiwo
themmy.t@outlook.com
Oluwatosin Taiwo
ta.oluwatosin@gmail.com
Adeoluwa Taiwo
kingtaiwo98@gmail.com
Muibat Ismaila
folaismaila@gmail.com
Published: 21 Jul 2025
Volume 2
James Thomas Black
james.black@uws.ac.uk
Muhammad Zeeshan Shakir
Muhammad.shakir@uws.ac.uk
While expensive hardware has historically dominated emotion recognition, our research explores the viability of cost-effective alternatives by utilising IoT-based low-resolution cameras with Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs). In this work, we introduce a novel dataset specifically for thermal facial expression recognition and conduct a comprehensive performance analysis using ResNet, a standard ViT model developed by Google, and a modified ViT model tailored to be trained on smaller..
Published: 21 Jul 2025
Volume 2
Sonda Fourati
sonda.fourati@medtech.tn
Wael Jaafar
wael.jaafar@etsmtl.ca
Noura Baccar
noura.baccar@medtech.tn
Published: 14 Jul 2025
Volume 2
Khandaker Tayef Shahriar
tayef@iiuc.ac.bd
Iqbal H. Sarker
m.sarker@ecu.edu.au
COVID-19 has created a major public health problem worldwide and other issues such as economic crisis, unemployment, mental distress, etc. The pandemic has affected people not only through infection but also by causing stress, worry, fear, resentment, and even hatred. Twitter is a highly influential social media platform and a major source of health-related information, news, opinions, and public sentiment, with content shared by both individuals and official government sources...
Published: 20 Jun 2025
Volume 2
Shiang-Jiun Chen
annette@ntut.edu.tw
Yi-Hsueh Tsai
yihsuehtsai@g.ntu.edu.tw
Quantum computing poses significant challenges to the current cryptographic landscape, particularly with the upcoming deployment of 6G networks. Traditional cryptographic algorithms, such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC), are vulnerable to quantum-based attacks. This vulnerability has led to the development of Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), and Satellite-based QKD solutions. This paper provides a comprehensive review of these quantum-safe technologies, discussing their integration within the context..
Published: 12 May 2025
Volume 2
Federica Palazzo
fedepalazzo03@gmail.com
Giovanni Zambetta
vannizambetta@alice.it
Stefano Palazzo
stefanopalazzo971418@gmail.com
The field of Artificial Intelligence (AI) is progressively transforming various advanced engineering disciplines, including mechanical, civil, electrical, aerospace, environmental, and biomedical engineering, through improved design, manufacturing, maintenance, and optimization methodologies. Yet, the disjointed and specialized state of the art too frequently prevents the cross-disciplinary application of AI solutions due to disparate performance measures, which result in reduced knowledge transfer and exaggerated performance in segregated domains. This study overcomes these issues..
Published: 06 May 2025
Volume 2
Theofanis Tasoulas
tasoulastheofanis@outlook.com
Alexandros Gazis
agazis@ee.duth.gr
Aggeliki Tsohou
atsohou@ionio.gr
Web tracking (WT) systems are advanced technologies that are used to monitor and analyze online user behavior. Initially focused on HTML and static webpages, these systems have evolved with the proliferation of IoT, edge computing, and Big Data, encompassing a broad array of interconnected devices with APIs, interfaces, and computing nodes for interaction. WT systems are pivotal in technological innovation and business development, although trends like GDPR complicate data extraction..
Published: 07 May 2025
Volume 2
Abdoulaye Ndiaye
wizlaye7@gmail.com
Mouhamad Dieye
dieye.mouhamad@gmail.com
Wael Jaafar
wael.jaafar@etsmtl.ca
Fatoumata Balde
fatoumata.balde@uadb.edu.sn
Roch Glitho
glitho@ece.concordia.ca
The advent of 5G networks has facilitated various Industry 4.0 applications requiring stringent Quality-of-Service (QoS) demands, notably Ultra-Reliable Low-Latency Communication (URLLC). Multi-Access Edge Computing (MEC) has emerged as a key technology to support these URLLC applications by bringing computational resources closer to the user, thus reducing latency. Meanwhile, Network Function Virtualization (NFV) supports 5G networks by offering flexibility and scalability in service provisioning across various applications. Despite their benefits, MEC..