Research Article
Published: 19 Sep 2025
Volume 2
Constantine Andoniou
constantine.andoniou@adu.ac.ae
Editorial
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..
Review Article
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
Research Article
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
Research Article
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..
Research Article
Published: 21 Jul 2025
Volume 2
Sonda Fourati
sonda.fourati@medtech.tn
Wael Jaafar
wael.jaafar@etsmtl.ca
Noura Baccar
noura.baccar@medtech.tn
Research Article
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...
Review Article
Published: 23 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..
Review Article
Published: 12 May 2025
Volume 2
Federica Palazzo
Giovanni Zambetta
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..
Research Article
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..
Research Article
Published: 07 May 2025
Volume 2
Abdoulaye Ndiaye
Mouhamad Dieye
Wael Jaafar
wael.jaafar@etsmtl.ca
Fatoumata Balde
Roch Glitho
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..
Review Article
Published: 17 Mar 2025
Volume 2
Mircea Ţălu
talu.s.mircea@gmail.com
Research Article
Published: 20 Mar 2025
Volume 2
Tianming Zhu
tianming.zhu@nie.edu.sg
Carol Anne Hargreaves
carol.hargreaves@nus.edu.sg
Yi Xin Cheng
Christopher Chen Li-Hsian
phccclh@nus.edu.sg
Siama Hilal
saimahilal@nus.edu.sg
Dementia is a decline in cognitive function, typically diagnosed when the acquired impairment becomes severe enough to impact social or occupational functioning. Between no cognitive impairment (NCI) and dementia, there are many intermediate states. Predictive cognitive impairment can be useful for initiating treatment to prevent further brain damage. Several deep learning-based approaches have been proposed for the classification of Magnetic Resonance Imaging (MRI) to diagnose Alzheimer’s disease (AD) or dementia...
Editorial
Published: 31 Dec 2024
Volume 1
Moussa Ayyash
msma@ieee.org
Welcome to the inaugural volume of the Computing & AI Connect (CAIC) Journal, a peer-reviewed, open-access journal committed to fostering advancements and innovation in computing sciences and technologies, and artificial intelligence. CAIC is a platform that is dedicated to exploring the profound and transformative impacts of computing and artificial intelligence on the different aspects of life. In recent years, AI has become the focus of researchers from different fields, working to..
Review Article
Published: 31 Dec 2024
Volume 1
Senthil Kumar Jagatheesaperumal
senthilkumarj@mepcoeng.ac.in
Mohamed Rahouti
mrahouti@fordham.edu
Mohammed Aledhari
mohammed.aledhari@unt.edu
Abdelatif Hafid
a.hafid@esisa.ac.ma
Diogo Oliveira
diogo.oliveira@pointpark.edu
Hamza Drid
h.drid@univ-batna2.dz
Ruhul Amin
mamin17@fordham.edu
Systematic Review
Published: 07 Feb 2025
Volume 2
Nijat Taghizad
tagizadenijat@gmail.com
Pietro Lio
pl219@cam.ac.uk
Modern electrical systems rely on sensors and relays for fault detection in three-phase transmission lines and distribution transformers, but these devices often face time complexity issues and false alarms. In this study, the fault detection accuracy is compared in models studied in 2023 and 2024 following PRISMA guidelines. The objectives were to identify fault types, utilize machine learning models to assess their predictive efficacy, and establish accuracy levels. To explore..
Research Article
Published: 12 Dec 2024
Volume 1
Muhammad Asif Ayub
asifayub836@gmail.com
Muhammad Tayyab Zamir
mzamir2023@cic.ipn.mx
Imran Khan
imran.cse@uetpeshawar.edu.pk
Hannia Naseem
hanninaseem836@gmail.com
Nasir Ahmad
nasir.ahmad@mtu.ie
Kashif Ahmad
kashif.ahmad@mtu.ie
Crowd-sourcing has been widely explored for monitoring and feedback on infrastructure and services, such as air and water quality analysis. However, the traditional methods of crowd-sourcing for feedback and analysis of water quality, namely offline and online surveys, have several limitations, such as the limited number of participants and low frequency due to the labor involved in conducting such surveys. Social media analytics could overcome these challenges by providing a..
Research Article
Published: 13 Dec 2024
Volume 1
Denis S. Pashchenko
denpas@rambler.ru
This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software..
Review Article
Published: 28 Aug 2024
Volume 1
Vishnu Vardhan Baligodugula
baligodugula.2@wright.edu
Ashutosh Ghimire
ghimire.18@wright.edu
Fathi Amsaad
fathi.amsaad@wright.edu
Research Article
Published: 23 Aug 2024
Volume 1
Amjad Yousef Majid
amjad.y.majid@gmail.com
Tomas van Rietbergen
t.l.vanrietbergen@student.tudelft.nl
R Venkatesha Prasad
r.r.venkateshaprasad@tudelft.nl
Effective indoor navigation in the presence of dynamic obstacles is crucial for mobile robots. Previous research on deep reinforcement learning (DRL) for robot navigation has primarily focused on expanding neural network (NN) architectures and optimizing hardware setups. However, the impact of other critical factors, such as backward motion enablement, frame stacking buffer size, and the design of the behavioral reward function, on DRL-based navigation remains relatively unexplored. To address this..