Harri Renney^1,*, Maxim Nethercott¹, Nathan Renney², Peter Hayes¹

Journal on Artificial Intelligence, Vol.8, pp. 231-257, 2026, DOI:10.32604/jai.2026.078487 - 17 April 2026

Abstract This paper provides systemisation on the emerging design patterns and paradigms for Large Language Model (LLM)-enabled multi-agent systems (MAS), evaluating their practical utility across various domains, bridging academic research and industry practice. We define key architectural components, including agent orchestration, communication mechanisms, and control-flow strategies, and demonstrate how these enable rapid development of modular, domain-adaptive solutions. Three real-world case studies are tested in controlled, containerised pilots in telecommunications security, national heritage asset management, and utilities customer service automation. Initial empirical results show that, for these case studies, prototypes were delivered within two weeks and pilot-ready More >

Hamed Alqahtani¹, Gulshan Kumar^2,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077367 - 09 April 2026

Abstract Large Language Models (LLMs) are becoming integral components of modern cybersecurity ecosystems, simultaneously strengthening defensive capabilities while giving rise to a new class of Artificial Intelligence–Generated Content (AIGC)-driven threats. This PRISMA-guided systematic review synthesises 167 peer-reviewed studies published between 2022 and 2025 and proposes a unified threat–defence–evaluation taxonomy as a central analytical framework to consolidate a previously fragmented body of research. Guided by this taxonomy, the review first examines AIGC-enabled threats, including automated and highly personalised phishing, polymorphic malware and exploit generation, jailbreak and adversarial prompting, prompt-injection attack vectors, multimodal deception, persona-steering attacks, and large-scale… More >

Daiki Nobayashi^1,*, Meiya Tanaka², Naoki Tanaka², Riku Nakamura², Kazuya Tsukamoto³, Takeshi Ikenaga¹, Shu Sekigawa⁴, Myung Lee⁵

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077008 - 09 April 2026

Abstract To realize local production and consumption of Spatio-temporal data (STD), it is essential to address two key challenges: (1) maintaining data locality by retaining and distributing STD close to their generation area, and (2) enabling application execution on heterogeneous and resource-constrained devices through a lightweight and portable execution platform. To address these challenges, we developed a Floating Cyber-Physical System (F-CPS) that retains both STD and the functions required to process and use the STD within a specific area. In the F-CPS, the STD Retention System directly distributes STD from the generation location and maintains the… More >

Oskar Kapuśniak¹, Adam Piórkowski^2,*, Julia Lasek³, Karolina Nurzyńska⁴

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076062 - 09 April 2026

Abstract The efficacy of Active Shape Models (ASM) for automated ventricular segmentation was evaluated to address the computational demands of manual segmentation and the interpretability limitations of deep learning. A statistical shape model was constructed using a limited cohort of 19 Coronary Computed Tomography Angiography (CCTA) scans derived from patients with diverse cardiac abnormalities. Principal Component Analysis (PCA) was employed to encapsulate morphological variability, and strict point correspondence was enforced to maintain topological consistency. Validation was conducted via leave-one-out cross-validation, benchmarking automated segmentations against expert-delineated ground truths using the Dice Similarity Coefficient (DSC) and Hausdorff Distance More >

Zakaria S. M. Abdelhalim^*, Nahla Belal, Mohamed Seifeldin

Journal of Cyber Security, Vol.8, pp. 153-169, 2026, DOI:10.32604/jcs.2026.079097 - 06 April 2026

Abstract The rapid expansion of IoT and cloud services has increased the scale and complexity of modern networks, making intrusion detection challenging. Although deep learning-based Network Intrusion Detection Systems (NIDS) often report high accuracy, such metrics can be misleading on highly imbalanced datasets, where performance is dominated by majority classes and rare attacks remain poorly detected. This issue stems from global optimization strategies that encourage models to rely on dominant feature patterns, limiting their ability to capture the class-specific features required to identify infrequent attack types. To address this limitation, this work proposes a domain knowledge-guided… More >

Mojgan Mohammadi¹, Naser Khaji^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078945 - 30 March 2026

Abstract The failure of liquid storage tanks, one of the most critical infrastructure systems widely used, during severe earthquakes can have direct or indirect impacts on public safety. The significance of their safe performance even after destructive earthquakes and their potential for operational use underscores the necessity of appropriate seismic design. Hence, seismic isolation, specifically base isolation, has gained attention as a seismic control method to reduce damage to these infrastructures by increasing their vibration period. One prevalent type of seismic isolator used for tanks and other structures is the friction pendulum system (FPS) isolator. However,… More >

Shahab Ali Khan¹, Tehseen Mazhar^2,3,*, Syed Faisal Abbas Shah⁴, Wasim Ahmad¹, Sunawar Khan², Afsha BiBi⁵, Usama Shah¹, Habib Hamam^6,7,8,9

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.075882 - 30 March 2026

Abstract The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has enabled Artificial Intelligence of Things (AIoT) systems that support intelligent and responsive smart societies, but it also introduces major security and privacy concerns across domains such as healthcare, transportation, and smart cities. This Systemic Literature Review (SLR) addresses three research questions: identifying major threats and challenges in AIoT ecosystems, reviewing state-of-the-art security and privacy techniques, and evaluating their effectiveness. An SLR covering the period from 2020 to 2025 was conducted using major academic digital libraries, including IEEE Xplore, ACM Digital Library, ScienceDirect, More >

Flavia Angélica Pérez-Flores¹, José Orlando Jiménez-Zurita^2,*, Pedro Ulises Bautista-Rosales^3,*, Rosendo Balois-Morales², Graciela Guadalupe López-Guzmán², Andrés Eloy León-Fernández⁴, Juan Esteban Bello-Lara⁴, Carlos Azhael Rodríguez-Guzmán⁴, Guillermo Berumen-Varela³

Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077078 - 31 March 2026

Abstract The custard apple fruit (Annona reticulata L.) is distinguished not only by its pleasant flavor and high nutritional value, but also by the presence of bioactive compounds in its pulp, particularly antioxidants, which may provide health benefits when consumed. However, in Nayarit this plant material is found in the wild, without agronomic management or conservation programs. Therefore, the purpose of this research was to evaluate several antioxidants in the pulp of custard apple fruits. Fruits were collected from four localities in Tepic, Nayarit (Jicote, Trapichillo, 14 de Marzo, and Tepic). Total phenolics, flavonoids, vitamin C, carotenoids,… More >

Baijun Chen^1,#, Song Gui^1,2,#, Yujing Xie³, Lijun Ma^3,*, Can Jiao^1,4,*

International Journal of Mental Health Promotion, Vol.28, No.3, 2026, DOI:10.32604/ijmhp.2026.077048 - 31 March 2026

Abstract Objectives: Flourishing, a central concept in positive psychology, encompasses multifaceted dimensions such as meaning, positive relationships, and engagement. Despite growing research interest, empirical studies focusing specifically on the flourishing of middle school students remain scarce. Given the critical need to promote flourishing among Chinese middle school students, the study aimed to adapt Diener’s Flourishing Scale for Chinese middle school students, examine its psychometric properties, and establish its measurement invariance across gender and time within this population. Methods: Participants were recruited from secondary schools in two Chinese provinces. The Chinese versions of the Flourishing Scale (CFS), along… More >

Anthony Dyson, Tamer Kamel^*, Marcel Ambroze

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.078417 - 27 March 2026

Abstract This study provides a new experimental framework to measure the static and dynamic electrical parameters for a solar panel of multiple cells. The study evaluates its static parameters, including its resultant diodes’ saturation currents, diodes’ ideality factors, series, and shunt resistances. Such parameters are essential to characterise the steady-state performance of a solar panel. Additionally, the dynamic parameters as the equivalent junction and diffusion capacitances are also experimentally measured. These parameters impact the performance of the panel at variable solar irradiance, temperature, and load conditions. A solar panel of 36 series-connected cells has been utilised… More >