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 - J R Harshavardhan, Anjan Kumar K N, Prasanna Kumar M Abstract - Chronic Kidney Disease (CKD) is a pressing global health concern, where early diagnosis and effective management are vital to prevent progression to end-stage renal failure. This review paper analyzes advancements in the prediction and classification of CKD and related kidney disorders through machine learning (ML) techniques. It explores a spectrum of methodologies, ranging from traditional statistical models to advanced deep learning approaches, assessing their effectiveness in enhancing diagnostic accuracy. A key contribution of this work is the proposal of a novel methodology and block diagram for integrating diverse data sources, including patient demographics, clinical measurements, and medical images, to improve predictive outcomes. The proposed system leverages Convolutional Neural Networks (CNNs) for image analysis and employs ensemble methods for feature integration, aiming to optimize predictive performance. The review also addresses significant limitations, such as data quality and feature selection challenges, while emphasizing the advantages of early detection and personalized treatment through advanced ML models. By identifying research gaps and suggesting future directions, this paper aims to foster the development of more effective algorithms and real-time monitoring systems for CKD and kidney disorder management, ultimately contributing to improved patient outcomes.
Authors - Philane Tshabalala, Rangith B. Kuriakose Abstract - The Fourth Industrial Revolution has had a significant and far-reaching impact on the manufacturing industry. A substantial transformation has taken place within the manufacturing industry, with a notable shift from the conventional approach of mass production to a more bespoke model driven by the global market's demand for enhanced product diversity. This requires the redesign of assembly lines to enable the production of multiple product variants, thereby increasing their complexity. In order to effectively manage the increased complexity and avoid potential bottlenecks caused by longer cycle times, it is essential to implement a virtual system capable of real-time monitoring and fault detection. The current methods for reducing cycle time are deficient in their lack of utilization of real-time data inputs. This article presents a case study of a water bottling plant that employs a mixed-model stochastic assembly line. Two virtual systems, a digital shadow and a digital twin, were developed using MATLAB and SIMULINK as potential solutions. The two systems processed the identical input data in order to calculate cycle times. The results of the study indicate that the application of real-time data and digital twins can lead to a significant reduction in cycle times in a mixed-model assembly line, with an average improvement of 19% in comparison to the digital shadow.
Authors - Hiep. L. Thi Abstract - This paper explores the critical issue of stability in Unmanned Aerial Vehicle (UAV) control systems, particularly under varying environmental conditions and mission requirements. We discuss current challenges, including adaptive control, autonomous missions, urban navigation, and sensor integration. The paper also highlights recent advances in ensuring robust stability and outlines future research directions for improving UAV performance in complex and dynamic environments.
Authors - Abdul Wahab Samad, Noerlina AnggIvanraeni, Khairul Ismed, Ivan Lilin Suryono, Zahera Mega Utama Abstract - Cooperatives are a vital part of Indonesia's economy, and their growth and development have changed several times over the country's history. One of the cornerstones of any functional economy is the cooperative. Much headway was made towards assisting farmers during the New Order through the formation of Village Unit Cooperatives, often called Koperasi Unit Desa (KUD). Conversely, these cooperatives are encountering roadblocks and challenges in their development at the moment. In order to weigh the pros and cons of cooperatives, it is necessary to set up a cooperative framework that considers the cooperative movement and backs regulatory standards. Building this structure is a prerequisite to achieving this goal. That cooperative goods will be available for purchase and supported adequately in the future is ensured by embracing this paradigm. One of the quantitative research methodologies used for this examination was the Smart Partial Least Square (Smart PLS) analysis. An investigation was conducted to assess the scope of the opportunities and constraints that the cooperative market faces in its pursuit of integration into the Indonesian economy. The data found by the academic community at the Institute of Business and Informatics in 1957 shows that the p-value is less than 0.05, which means that there is a substantial association with a number higher than 0.7. This opens up a lot of possibilities for the development and expansion of cooperatives in Indonesia. It is possible that these cooperatives may form the bedrock of the country's future economic success
Authors - Paula Cristina De Almeida Marques, Paulo Alexandre Teixeira Faria de Oliveira Abstract - This further underscore the need to have crisis resilience capabilities in a continuously evolving healthcare environment; especially in the wake of global crises such as COVID-19. This paper explores the impact of intelligent systems in the healthcare system. How to make resilient in crisis, and limits that analysis by comparing with Balanced Scorecard (BSC). When a hospital implements AI and ML technologies, it can dramatically enhance crisis surveillance, reduce the time needed for escalation predictions, and facilitate timely interventions accompanied by quick reactions to unexpected events. Based on multiple case studies, the literature review suggests that intelligent systems can greatly assist in resource optimization, operational efficiency improvement, and crisis decision making. Similarly, to how these perspectives are used to evaluate intelligent systems, BSC analyses them through four financial perspectives: customer; internal processes and growth and learning. We uncovered more than a billion euros respective and on average in value that could be gained fleet of 5G-enabled smart bicycles, specifically contribute to operational efficiency and clinical effectiveness in times of crisis by integrating smart systems. In addition to highlighting the importance of support from upper management an ongoing tailoring of smart systems to assist in the accomplishment of economic alignment to the strategic goals of healthcare organizations The Balanced — So, this study sets out that intelligent systems in health care with the Balanced Scorecard would provide a rapid response health system able to respond appropriately towards forthcoming crises. But there could be for policymakers and health care managers, provide incentives for the strategic integration of these technologies to support crisis management abilities, as well as more general benefits for human health.
Authors - Asmae CHAKIR, Mohamed TABAA Abstract - Throughout the world, the transportation and residential sectors are the most energy intensive. This continues to increase especially with the steady urban development. Consequently, the electricity consumption will increase especially in the above-mentioned sectors. To satisfy this demand, an increase of the electrical production is necessary in an environmentally friendly way. For this purpose, non-conventional or renewable generation is needed. But to overcome the intermittency, the concept of complementary sources hybridization has been launched. In this context, we considered the PV-Wind-Battery hybrid system in small scale that will supply a house already connected to the grid. This will remedy to the issue of increasing consumption in the residential sector. Regarding the transportation sector, a strategy to switch to electric transportation means has been initiated as well. To achieve this, we have hybridized our system with the existence of an electric vehicle used by the building's inhabitants as a means of transportation. On this paper, we proposed to manage the energy of this system according to three management sides, namely: source side, storage side and load management side. This combination allowed an optimization of the energy produced by the renewable system and a management of energy storage preference depending on the home's energetic states. Besides, the management system on the load side which helps in the minimization of the energy consumed trough the electricity utility during the periods of energy deficit to a consumption to satisfy just critical loads, especially with the presence of the mobile battery supplying the electric vehicle via the vehicle to home and home to vehicle strategy.
