Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 165 - 175
Published: Jan. 1, 2024
Language: Английский
Published: March 14, 2024
As natural and manmade disasters grew in number, as a result the problem of how to quickly effectively respond disaster has become fresh. This is precisely purpose this research: Using IoT technologies powerful data analysis techniques, integrate them into existing management systems. The beginning article contains broadcasted statement effect that traditional methods are insufficient, real-time preemptive response systems needed. With application Internet Things, an integrated system proposed which countless types information such weather conditions seismic activity gathered by sensors actuators. Advanced machine learning algorithms predictive modeling used analyze data. allows us make decisions. design construction IoT-based methodology behind research. In particular, we will evaluate effective it at reducing times increasing overall resilience disasters. results show high efficiency response, reflects feasibility method. Finally, paper discusses problems encountered implementing advanced risk suggests future research avenues. There no doubt they change present practice forever.
Language: Английский
Citations
17
Published: March 15, 2024
This paper provides an extensive discussion of the machine learning algorithms applied to sentiment analysis on social media, involving use Naive Bayes, Support Vector Machines (SVM), and Deep models evaluation comparison. The growth network content at rates exponential, computerized assessment interpretation valuer client have become extremely important serve areas market researches from opinion monitoring. We conducted a systematic study viability various methodologies that aim deal with complicated characteristics as well peculiar nature Language Processing Natural (LPN), which are most-likely caused by enormous amount data media platforms. According our results, Learning based incorporate more complex neural structure thus, CNNs RNNs likely outperform other explanations. critical point their success lies in power capture semantic contextual language. Nevertheless, exploration also outlines computational needs methods, imply some requirements for contemporary applications. cover issues processing speed trade-offs terms classification accuracy versus efficiency, thus out implementation problems scaled adoption brings.
Language: Английский
Citations
7
Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 83 - 114
Published: Jan. 17, 2025
The synergistic use of the IoMT and generative AI presents healthcare with practically brand-new approaches to long-standing problems. In this chapter, author demonstrates ideas how integrating real-time data gathering solution impact can increase effectiveness personal treatment, capacity identifying diseases avoiding them, organization services. By analyzing key applications introduced by such as surgical robot, remote health monitoring, virtual assistants it is possible evaluate technologies on positive patients' outcomes, decreased rate readmissions, increased engagement. addition, chapter explores technical issues ethical arising from application in privacy issues, integration call for proper regulations technologies.
Language: Английский
Citations
0
Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 217 - 242
Published: Jan. 17, 2025
The incorporation of the Internet Medical Things and Generative AI to this process shall transform patient care by offering continuous tracking, analysis individualized progression control. This chapter is dedicated synergistic fusion IoT in Technology (IoMT) Artificial Intelligence provides a brief summary what it is, how functions, can be expected future field health care. When combined with data acquiring capacity IoMT analytical potential AI, hospitals other medical facilities have bring diagnosis treatment higher level. Some real-life usage examples uses SDN are shown through different use cases, including chronic disease management, elderly care, virtual assistance, prognostic management maintenance healthcare facilities' equipment tools.
Language: Английский
Citations
0
Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 29, P. 100619 - 100619
Published: Feb. 14, 2025
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 125 - 146
Published: March 7, 2025
Exploring the future of AI in biomedical and biotechnology is crucial for transforming various applications. Precision medicine, using diagnostic therapeutic approaches based on genetic molecular data, stands to greatly benefit from AI's analytical power. In drug discovery, solves many challenges, enhancing candidate generation optimizing structures, leading shorter more cost-effective development processes. medical imaging advancing early disease detection, improving outcomes. It's also revolutionizing bioprocessing manufacturing biotechnology. areas like robotic surgery NLP health record processing, fosters innovation. However, ethical concerns legislation must be prioritized. Collaboration between technologists, researchers, healthcare, policymakers key maximizing potential while addressing integration challenges biotech fields.
Language: Английский
Citations
0
Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 123, P. 112 - 123
Published: March 23, 2025
Language: Английский
Citations
0
Published: Oct. 11, 2023
Technological advancements have brought about substantial changes to the accessibility alternatives that cater those with diverse abilities. The integration of artificial intelligence (AI) into assistive technology has presented unprecedented opportunities for enhancing autonomy and quality life disabilities. focus rigorous investigation is on "Smart Blind Sticks," which are novel equipment designed enhance mobility safety visual impairments. This article presents a comprehensive account conceptualization, design, implementation technologically advanced blind stick. primary objective this innovative device detect promptly respond impediments in immediate environment, hence facilitating navigation vision proposed system utilizes sensor technologies data processing techniques provide precise obstacle detection. Moreover, it employs state-of-the-art systems instantaneous guidance, guaranteeing seamless secure transportation at all instances. distinguishing characteristics smart stick set apart from conventional white canes, affording its users more mobility. Experimental evidence showcases practical use approach, therefore emphasizing capacity significantly promote among individuals
Language: Английский
Citations
10
Published: Oct. 6, 2023
The purpose of this research is to offer users individualized and varied book recommendations. collaborative filtering component examines users' prior interactions with books identify who have previously displayed similar tastes. system suggests based on resemblance that the current user hasn't yet read but comparable appreciated. popularity-based filtering, other hand, takes into account system's general appeal reading preferences. In order suggest popular are currently trending among users, it variables like average ratings, total amount recent trends. goal our solve some drawbacks conventional recommendation systems by merging these two techniques. "cold start" issue in could lead inaccurate recommendations for new or scant historical data. On result a lack customization because might simply well-known well-liked books. suggested approach made adjust shifting trends preferences over time, resulting consistently better Users can quickly receive personalized recommendations, find read, enjoy an improved experience incorporating hybrid model website, especially times when physical access bookstores libraries constrained. Our seeks assist navigating large sea possibilities discovering ideal resonate their interests light expanding availability online.
Language: Английский
Citations
10
Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 42 - 65
Published: Jan. 26, 2024
Artificial intelligence in things (AIoT) has revolutionized the capabilities and features of smart gadgets. Technology advancements sensing have allowed for seamless integration AI IoT, increasing general efficacy devices. This chapter looks at technology's progress challenges context AIoT integration. The study begins with a brief introduction its significance device industry. It then delves into numerous technologies that aid bringing IoT together, such as environmental sensors, motion biometric more. Miniaturization, improved accuracy, lower power consumption are just few ways these sensor progressed. also highlights integrating technology. need efficient management, interoperability, complexity fusion data integration, concerns over security privacy some obstacles way.
Language: Английский
Citations
2