10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Ping Luo, Kyle Gauthier, Bo Huang, Wenjun Lin Abstract - Data visualization is a critical tool for interpreting complex information, yet it often remains inaccessible to those without extensive technical and analytical skills. This study introduces a novel multi-agent system leveraging a large language model (LLM) to democratize the process of creating high-quality visualizations. By automating the stages of planning, coding, and interpretation, the system empowers users with diverse backgrounds to generate accurate and meaningful visual representations of data. Our approach employs multiple specialized agents, each focusing on different aspects of the visualization workflow, thereby enhancing the overall quality through collaborative problem-solving and contextual communication. The iterative refinement phase ensures that the visualizations meet the initial objectives and data characteristics, thus improving accuracy and relevance. This study’s modular design allows for scalability and adaptability to various data types and visualization needs, ensuring the system remains current with emerging tools and frameworks. By lowering the barriers to effective data visualization, our system supports broader data-driven decision-making across various domains, fostering more inclusive and impactful data analysis practices. Validation on two public datasets demonstrates that our multi-agent framework generates visualizations that achieve comparable or superior quality metrics when benchmarked against human expert analysis.
Authors - Nelly Galora-Moya, Paola Ramos-Medina, Elsa Hernandez-Cherrez, Javier Sánchez-Guerrero Abstract - This study analyzes the necessity and impact of English for Specific Purposes (ESP) courses on B1+ level students, integrating gamification as an innovative approach through the use of the Duolingo platform. Surveys were ad-ministered to students and faculty members from various departments to gather their perceptions on the relevance and feasibility of gamified ESP courses. Additionally, a preliminary diagnostic test was conducted to assess technical vocabulary knowledge in a gamified environment. The results show a general consensus on the importance of ESP courses, highlighting Duolingo as an effective tool for personalizing learning and enhancing linguistic competencies in specific contexts. Significant gaps in students' linguistic skills were also identified, justifying the incorporation of this methodology. The paper proposes a collaborative program between the faculties of the Technical University of Ambato (UTA) and the Language Center, with Duolingo playing a central role in designing a gamified curriculum to bridge the gap between academic English and the specialized skills required in professional settings. This approach not only improves academic performance but also equips graduates with the linguistic skills necessary to compete in the global job market. Gamification, by combining motivation and interactivity, fosters autonomous and collaborative learning. This work contributes to the current debate on the use of technology in ESP teaching, emphasizing gamification as a key strategy for personalizing learning. Future research should assess the longitudinal impact of gamified platforms like Duo-lingo on academic performance and graduates’ career trajectories.
Authors - Reem M. Zemam, Nahla A. Belal, Aliaa Youssif Abstract - According to the World Health Organization’s statistical data for 2024, breast cancer is the most often diagnosed cancer among women.Between 2020 and 2024, approximately 37,030 new instances of invasive breast cancer were documented in women.Recent advancements in deep learning have shown considerable potential to improve the accuracy of breast cancer diagnosis, ultimately aiding radiologists and clinicians in making more precise decisions.This study presents a strategy that creates a highly dependable ultrasound analysis reading system by comparing the powerful processing capabilties of CNNs with 4 pretrained models (Transfer Leraners). The models employed were the DenseNet 169, ResNet 152, MobileNet V2, and Xception. To assess the effectiveness of the proposed framework, experiments were conducted using established bench- mark datasets (BUSI datasets). The suggested framework has demonstrated superior performance compared to previous deep learning architectures in precisely identifying and categorizing breast cancers in ultrasound images. Upon comparison of the specified deep learning models, DenseNet 169 had the maximum performance with an accuracy of 99.7%. This surpasses the research undertaken in the literature. This research employs advanced deep learning algorithms to enhance breast cancer diagnostic outcomes, decreasing diagnosis time and facilitating early treatment.
Authors - Eduardo Pinos-Velez, Adriana Martinez-Munoz, Dennys Baez-Sanchez Abstract - Prolonged sitting is a significant contributor to various health issues, including pressure ulcers, lower back pain, and circulatory disorders. This paper provides an analysis of these pathologies, examining their underlying causes, physiological impacts, and the compounding role of risk factors such as physical inactivity and poor posture. Furthermore, the study evaluates technological solutions designed to mitigate these risks. These include advanced sensor-integrated cushions and alternating pressure systems that facilitate weight redistribution to prevent tissue damage.
Authors - Desmond Kwadjo Kumi, Sheena Lovia Boateng Abstract - This study uses the utility theory framework to investigate cryptocurrency awareness and usage behavior among Gen Z in Ghana. Data were collected from 700 individuals in the educational sector of Ghana, aged 18-25 years, through purposive and snowball sampling, using structured questionnaires, with 657 usable responses. Data was analyzed using SPSS, AMOS, and Hayes Process Macro. The results revealed that perceived benefits significantly indirectly affect cryptocurrency usage behaviour via cryptocurrency’s perceived value. Perceived risks lessen the influence of perceived benefits on perceived value, whereas personal innovativeness improves this link. The survey further revealed a very high awareness of Bitcoin and other cryptocurrencies, but comparatively lower awareness of the entire blockchain technology. Whereas, awareness, attitudes toward and ownership of cryptocurrencies were higher among males than females, thus showing a gender gap in the awareness and ownership of digital assets. This study is arguably one of the few sources with insights into applying the utility theory to understand cryptocurrency usage behaviour among Gen Z in a developing economy like Ghana. Practitioners and policymakers could therefore, tailor strategies that address awareness and ownership gaps and optimize utility dimensions.
