The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students DOI Creative Commons

Zulfikri Akbar,

Encep Sopandi,

Badruzzaman Badruzzaman

et al.

Journal of Social Science Utilizing Technology, Journal Year: 2023, Volume and Issue: 1(4), P. 249 - 260

Published: Dec. 23, 2023

Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems an attractive alternative. This system can help students selecting courses, providing suggestions their interests needs. Purpose. research aims to understand experiences views on courses education, a focus effectiveness, level of student trust, ease use. The main objective is identify the impact academic decisions. Method. used quantitative survey method 20 at universities by collecting data through online questionnaires. results analysis show majority respondents experienced system, rely it tend follow recommendations, as well showing user satisfaction influence Results. study play important role guiding decision-making. However, there need for deeper understanding factors effectiveness. interim conclusion emphasizes further development adjustment course order increase its responsiveness Conclusion. basis reflection more effectively meet expectations ever-developing era education. In way, has potential make significant contribution adaptive responsive decision support systems.

Language: Английский

Organic Electronics in Biosensing: A Promising Frontier for Medical and Environmental Applications DOI Creative Commons
Jyoti Kaushal,

Pratima Raut,

Sanjay Kumar

et al.

Biosensors, Journal Year: 2023, Volume and Issue: 13(11), P. 976 - 976

Published: Nov. 7, 2023

The promising field of organic electronics has ushered in a new era biosensing technology, thus offering frontier for applications both medical diagnostics and environmental monitoring. This review paper provides comprehensive overview electronics’ remarkable progress potential applications. It explores the multifaceted aspects materials devices, thereby highlighting their unique advantages, such as flexibility, biocompatibility, low-cost fabrication. delves into diverse range biosensors enabled by electronics, including electrochemical, optical, piezoelectric, thermal sensors, showcasing versatility detecting biomolecules, pathogens, pollutants. Furthermore, integrating wearable devices Internet Things (IoT) ecosystem is discussed, wherein they offer real-time, remote, personalized monitoring solutions. also addresses current challenges future prospects biosensing, emphasizing breakthroughs medicine, sustainability, advancement human health well-being.

Language: Английский

Citations

42

Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review DOI Creative Commons
Radosław Wolniak, Kinga Stecuła

Smart Cities, Journal Year: 2024, Volume and Issue: 7(3), P. 1346 - 1389

Published: June 10, 2024

As urbanization continues to pose new challenges for cities around the world, concept of smart is a promising solution, with artificial intelligence (AI) playing central role in this transformation. This paper presents literature review AI solutions applied cities, focusing on its six main areas: mobility, environment, governance, living, economy, and people. The analysis covers publications from 2021 2024 available Scopus. examines application each area identifies barriers, advances, future directions. authors set following goals analysis: (1) identify applications using cities; (2) barriers implementation (3) explore directions usage cities.

Language: Английский

Citations

42

Redefining urban spaces in stormwater assessment through ecosystem management: A narrative review DOI
Wiktor Halecki, Tomasz Stachura, Wioletta Fudała

et al.

AMBIO, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

0

Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index DOI Creative Commons

P. Subramaniam,

Ali Najah Ahmed, Chow Ming Fai

et al.

Cogent Engineering, Journal Year: 2023, Volume and Issue: 10(1)

Published: March 20, 2023

It is critical to monitor water quality keep bodies ecologically healthy and facilitate the sustainable development of Kenyir Lake. Water differs temporally spatially affected by several factors. Typically, inspection systems are cost- labour-intensive depending on indicator count sampling frequency. Optimising frequency location crucial. This study focused collecting samples from 22 locations in Lake during different seasons (normal, dry, wet). The aimed assess spatial temporal variations based multivariate statistical methods. In this study, following parameters were selected for analysis: temperature, dissolved oxygen (DO), pH, biochemical demand (BOD), chemical (COD), total suspended solids (TSS), ammoniacal nitrogen (NH3-N). addition, a index was also calculated. GIS software used data, various methods like cluster analysis (CA), discriminant (DA), principal component (PCA) employed. outcome shows minor differences concerning Lake; however, noteworthy duration. Cluster divided into 3 clusters with TSS being key parameter affecting quality. Stepwise three parameters, TSS, produced associated classification matrix that correctly estimated 69.7% input. NH3-N found be two aspects affect wet, or normal climatic conditions.

Language: Английский

Citations

8

Deriving analytical expressions of the spatial information entropy index on riverine water quality dynamics DOI

Tianrui Pang,

Jiping Jiang, Leonardo Alfonso

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 623, P. 129806 - 129806

Published: June 15, 2023

Language: Английский

Citations

6

Centers for optimizing water management in agroecosystems & global food security DOI Creative Commons
Gabrijel Ondrašek, Zed Rengel

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: June 6, 2024

Global food security (GFS) is challenged by increasing demand due to population growth and climate change. International trade globalization have underpinned GFS until the most recent public health, geopolitical economic crises, when virtually overnight, focus of governments has shifted towards domestically locally produced foods. However, agri-food sector limited flexibility, relatively long periods are needed for fundamental/sustainable changes. One crucial factors enabling efficient water management, but required knowledge capabilities often lacking regionally/locally. We propose Centers Optimizing Water Management in Agroecosystems as a long-term solution. The would be specialized hubs promotion research, innovation technology transfer, raising stakeholders (farmers, extension government officials, scholars, students, policymakers other professionals) their capacities management. These operate research/education/technology demonstration entities tailored specifics particular country/region, aiming address important pertinent goals outcomes with high-spatial-resolution outreach. Finally, will improve farmers’ livelihoods, contribute sustainable use agro-environmental resources, increase productivity quality, ultimately supporting GFS.

Language: Английский

Citations

2

End-to-end system for monitoring the state of rivers using a drone DOI Creative Commons
Katarzyna Prokop, Karolina Połap, Marta Włodarczyk-Sielicka

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 13, 2023

Automatic data analysis systems in the Internet of Things are a key element. One such case is use drones to monitor rivers, which quite often located around built-up areas. This an important element for urban areas that exposed various environmental challenges as pollution and animal habitats. Data allows detection anomalies state reducing risk ecological disasters or even floods. Additionally, constant control enables impact urbanization on given area well protection. In this paper, we propose end-to-end system, where user performs measurements with drone result segmentation mask from U-Net network, but improved by image processing algorithms. The system based performing neural imposing obtained was previously subjected edge detection. All pixels under analyzed clustering method terms belonging river bank. addition, when there other same area, they used compare analyze changes. proposed architecture automation activities due combination graphics methods. Moreover, obtaining more accurate results than classic proposition tested gathered near southern Poland show possibilities effectiveness system. Proposed methodology reached 0.8524 Dice coefficient using VGG16 encoder.

Language: Английский

Citations

3

River Dissolved Oxygen Prediction Using Machine Learning Models with Wireless Sensor Measurements DOI
Mengjie He, Qin Qian, Xinyu Liu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Organic Electronics in Biosensing: A Promising Frontier for Medical and Environmental Applications DOI Creative Commons
Jyoti Kaushal,

Pratima Raut,

Sanjay Kumar

et al.

arXiv (Cornell University), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The promising field of organic electronics has ushered in a new era biosensing technology, offering frontier for applications both medical diagnostics and environmental monitoring. This review paper provides comprehensive overview the remarkable progress potential applications. It explores multifaceted aspects materials devices, highlighting their unique advantages, such as flexibility, biocompatibility, low-cost fabrication. delves into diverse range biosensors enabled by electronics, including electrochemical, optical, piezoelectric, thermo sensors, showcasing versatility detecting biomolecules, pathogens, pollutants. Furthermore, integrating wearable devices Internet Things (IoT) ecosystem is discussed, real-time, remote, personalized monitoring solutions. also addresses current challenges prospects biosensing, emphasizing breakthroughs medicine, sustainability, advancement human health well-being.

Language: Английский

Citations

1

Intelligent, low-cost, high-performance system for environmental air quality monitoring through integrated gas, temperature, and humidity analysis DOI
Paulo Fenelon Marinho, Gregório Mateus Santana,

M. L. Felix

et al.

International Journal of Environmental Science and Technology, Journal Year: 2023, Volume and Issue: 21(5), P. 4881 - 4898

Published: Dec. 6, 2023

Language: Английский

Citations

1