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 - Mariam Basim Al-Najjar, Khalil H. Sayidmarie Abstract - This contribution investigates a proposed Frequency Selective Surfaces (FSS) that can be reconfigured using light-dependent resistor LDR. The unit cell of the FSS comprises a split square ring equipped with a single LDR placed at its gap. The FSS is built on the FR4 substrate of 40X40 mm dimensions, and ring size of 29 x29 mm to serve the WLAN application of 2.45 GHz frequency. When the LDR is adequately illuminated it exhibits a small resistance, and the ring behaves as a closed one, while in the dark condition, the resistance is high and the ring acts as a split ring. Therefore, the FSS works as a bandpass filter when illuminated, and as a bandstop filter without illumination. The LDR doesn’t need biasing wires that usually interfere with the structure of the FSS.
Authors - Moubaric Kabore, Abdoulaye Sere, Vini Yves Bernadin Loyara Abstract - This paper deals with Bayesian approach in Data Research in GIS database through artificial Intelligence (AI) modules, reading the best bayesian probability before returning the data requested, denoted AI4DB. The proposed method combines meshing techniques and the map-reduce algorithm with Bayesian approach to obtain a smart GIS database to reduce the execution time. According to the values of the Bayesian probability, the nearest sites of any position resulting of the user requests, are extracted speedily from the database using the map reduce framework. The execution time is less than the time for the case of the classical method, based only on a parallelism search without a probability. Only a map function with the best bayesian probability for the data in entry, executes entirely its instruction.
Authors - Denis Vasiliev, Rodney Stevens, Lennart Bornmalm Abstract - The idea of smart cities is becoming increasingly popular. Technology alone, however, is not sufficient for addressing the challenges that modern cities face. Pressures stemming from pollution, stress, and changing environmental conditions can ruin the lives of city dwellers, putting enormous pressure on public finance to address or mitigate consequences of the issues. Application of Nature-based Solutions could address multiple societal and environmental issues common to modern cities. Furthermore, the solutions can immensely benefit from integration with modern technologies. In fact, modern technologies can enhance the implementation, monitoring, and scalability of Nature-based Solutions. This makes a strong case for the application of Nature-based Solutions in modern urban environments that aspire to promote technology and become smart cities. Integration of the solutions into smart cities, however, is not a trivial task and requires a holistic approach to city planning and deep understanding of the ways to do so. Justification of the associated costs requires thorough understanding of the benefits, including the values that may be easily overlooked. Thus, in this study, we apply a conceptual research approach to explore how Nature-based Solutions can be integrated into Smart Cities, what are key benefits of the approach, and how this integration can address significant challenges in urban environments.
Authors - Victor Sineglazov, Andrew Sheruda Abstract - In this paper, a new hybrid segmentation method based on SSL (semi-supervised learning) was developed for samples with image sequences, not all of which were labeled. Thus, this method can find application in areas where labeling is expensive or requires a certain specialist, such as in medicine. The developed method was evaluated on a sample of echocardiography images of patients with infective endocarditis in the context of a real-world task of segmenting heart valve anomalies. As a result, the accuracy gain compared to supervised learning is 5% in the IOU metric, while with other SSL methods it is on average 3%.
Authors - Ervin Mikhail G. Garcia, Zara Naomi S. Inocencio, Ronnel Christian B. Langit, Paul James L. Perez, Harold Russell P. Visperas, Mary Jane C. Samonte Abstract - SHair is an innovative and very useful web-based tool that is made to make the process of donating hair easier. Its primary objective is to aid cancer patients in regaining self-confidence. SHair empowers hair donation by providing a user-friendly site that is safe for anybody wishing to give their hair. The main goal of the website is to have a substantial impact on the well-being of cancer patients by facilitating the connection between persons who express the intention to contribute their hair and those who need facial hair transplants. Individuals must possess this quality to foster a comprehensive comprehension of one another and collectives must possess it to increase their resilience. People stress how easy hair renewal is because it can bring donors and patients together, which is good for patients' mental health. SHair also makes sure that the processing and distribution of given hair can happen, which helps with efforts that focus on the happiness and well-being of cancer patients.
Authors - Denis Vasiliev, Rodney Stevens, Lennart Bornmalm Abstract - Implementation of Nature-based Solutions is becoming increasingly widespread. The solutions are intended to simultaneously address environmental, social and economic challenges. This approach is intended to foster sustainable development. However, mere use of nature for addressing specific problems does not necessarily result in simultaneous delivery of value in all three sustainability areas. To make sure that Nature-based Solutions serve both nature and society and deliver maximal benefits, a holistic approach to their implementation is essential. Implementing this approach is, however, not a trivial goal. It requires joint consideration of environmental, social and economic factors at a range of spatial and temporal scales. Furthermore, collaboration among multiple diverse stakeholders in the context of rapidly changing systems is essential. This often involves processing large volumes of data and can be very labor intensive. As a result, the costs of such projects may be overly high, hindering their implementation. The emerging technology of Generative Artificial Intelligence can greatly facilitate the process, bringing down the costs and increasing speed and feasibility of the project implementation. However, lack of awareness and understanding of how such tools can be used in Nature-based Solutions projects may result in missing these opportunities. Thus, this paper explores potential applications of Generative Artificial Intelligence tools in pro-jects involving Nature-based Solutions.
