Analysis of integration of IoMT with blockchain: issues, challenges and solutions DOI Creative Commons
Tehseen Mazhar,

Syed Faisal Abbas Shah,

A. K. M. Sarwar Inam

et al.

Discover Internet of Things, Journal Year: 2024, Volume and Issue: 4(1)

Published: Oct. 23, 2024

The incorporation of Artificial Intelligence (AI) into the fields Neurosurgery and Neurology has transformed landscape healthcare industry. present study describes seven dimensions AI that have way providing care, diagnosing, treating patients. It exhibited unparalleled accuracy in analyzing complex medical imaging data expediting precise diagnoses neurological conditions. also enabled personalized treatment plans by harnessing patient-specific genetic information, promising more effective therapies. For instance, AI-powered surgical robots brought precision remote capabilities to neurosurgical procedures, reducing human error. In AI, machine learning models predict disease progression, optimizing resource allocation patient whereas wearable devices with provide continuous monitoring, enable early intervention for chronic accelerated drug discovery vast datasets, potentially leading breakthrough Chatbots virtual assistants powered enhance engagement adherence plans. holds promise further personalization augmented decision-making, earlier intervention, development groundbreaking treatments. mainly focuses on blockchain technology provides a reasonable understanding associated issues challenges along its solutions. will allow professionals advance field contribute towards improvement an individual's well-being when facing challenges.

Language: Английский

Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey DOI Creative Commons
Hanane Allioui, Youssef Mourdi

Sensors, Journal Year: 2023, Volume and Issue: 23(19), P. 8015 - 8015

Published: Sept. 22, 2023

Cutting-edge technologies, with a special emphasis on the Internet of Things (IoT), tend to operate as game changers, generating enormous alterations in both traditional and modern enterprises. Understanding multiple uses IoT has become vital for effective financial management, given ever-changing nature organizations technological disruptions that come this paradigm change. proven be powerful tool improving operational efficiency, decision-making processes, overall productivity, data management. As result continuously expanding volume, there is an increasing demand robust IT system capable adeptly handling all enterprise processes. Consequently, businesses must develop suitable architectures can efficiently address these continually evolving requirements. This research adopts incremental explanatory approach, guided by principles Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA). A rigorous examination 84 papers allowed us delve deeply into current landscape research. aims provide complete cohesive overview existing body knowledge IoT. accomplished combining empirical approach categorization ideas from specialized literature sector. study actively contributes ongoing conversation around recognizing critically examining difficulties. This, consequently, opens new possibilities promotes future developments

Language: Английский

Citations

280
Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods DOI Creative Commons
Tehseen Mazhar, Hafiz Muhammad Irfan,

Sunawar Khan

et al.

Future Internet, Journal Year: 2023, Volume and Issue: 15(2), P. 83 - 83

Published: Feb. 19, 2023

Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. cyberattack is one of the most challenging things to stop. The biggest problem caused by millions sensors constantly sending and receiving data packets over network. Cyberattacks can compromise grid’s dependability, availability, privacy. Users, communication network devices sensors, administrators three layers an innovative vulnerable cyberattacks. In this study, we look at many risks flaws that affect safety critical, components. Then, protect against these dangers, offer security solutions using different methods. We also provide recommendations for reducing chance categories cyberattacks may occur.

Language: Английский

Citations

92
Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence DOI Creative Commons
Tehseen Mazhar, Dhani Bux Talpur, Tamara Al Shloul

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 683 - 683

Published: April 19, 2023

The Internet of Things (IoT) is a well-known technology that has significant impact on many areas, including connections, work, healthcare, and the economy. IoT potential to improve life in variety contexts, from smart cities classrooms, by automating tasks, increasing output, decreasing anxiety. Cyberattacks threats, other hand, have intelligent applications. Many traditional techniques for protecting are now ineffective due new dangers vulnerabilities. To keep their security procedures, systems future will need AI-efficient machine learning deep learning. capabilities artificial intelligence, particularly solutions, must be used if next-generation system continuously changing up-to-date system. intelligence examined this paper every angle available. An innovative method devices against cyberattacks use gain information raw data. Finally, we discuss relevant research issues next steps considering our findings. This article examines how can detect attack patterns unstructured data safeguard devices. We challenges researchers face, as well directions area, these Anyone with an interest or cybersecurity website’s content technical resource reference.

Language: Английский

Citations

65
Role of activity-based learning and ChatGPT on students' performance in education DOI Creative Commons
Tamara Al Shloul, Tehseen Mazhar, Qamar Abbas

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6, P. 100219 - 100219

Published: April 3, 2024

This study investigates the impact of activity-based learning and utilization ChatGPT on students' academic performance within educational framework. The aims to assess effectiveness in comparison traditional methods, while also evaluating potential benefits drawbacks integrating as an tool. employs a comparative approach, analyzing outcomes students exposed versus those using conventional methods. Additionally, examines usage education through surveys trials determine its contribution personalized feedback, interactive learning, innovative teaching findings reveal that enhances engagement, motivation, critical thinking skills. Students participating demonstrate improved achievement, which is attributed their active involvement practical application knowledge. Similarly, integration offers novel avenues for individualized assistance, fostering understanding exploration complex concepts. In conclusion, proves be student-centered approach by participation engagement. showcases enhance experiences conversations methodologies, despite considerations regarding limitations ethical implications.

Language: Английский

Citations

50
Current trends in AI and ML for cybersecurity: A state-of-the-art survey DOI Creative Commons
Nachaat Mohamed

Cogent Engineering, Journal Year: 2023, Volume and Issue: 10(2)

Published: Oct. 25, 2023

Language: Английский

Citations

49
Unleashing the potential of sixth generation (6G) wireless networks in smart energy grid management: A comprehensive review DOI Creative Commons
Mohammed H. Alsharif, Abu Jahid, Raju Kannadasan

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 1376 - 1398

Published: Jan. 13, 2024

As the world continues to seek sustainable and efficient energy solutions, integration of advanced technologies into smart grid management (SEGM) becomes a paramount focus. The advent Sixth Generation (6G) wireless networks promises revolutionize way grids are monitored, controlled, optimized. This review paper explores potential 6G in context SEGM. It discusses vision techniques that can be harnessed unlock full capabilities networks. delves challenges opportunities presented by technology, addressing issues such as scalability, security, real-time monitoring, dynamic spectrum access. Moreover, it how enable seamless with other technologies, blockchain cybertwin, enhance resilience reliability grids. comprehensive aims shed light on transformative role networks, paving for intelligent future management.

Language: Английский

Citations

29
Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data DOI Open Access
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(4), P. 696 - 696

Published: Feb. 11, 2025

The integration of artificial intelligence (AI) agents with the Internet Things (IoT) has marked a transformative shift in environmental monitoring and management, enabling advanced data gathering, in-depth analysis, more effective decision making. This comprehensive literature review explores AI IoT technologies within sciences, particular focus on applications related to water quality climate data. methodology involves systematic search selection relevant studies, followed by thematic, meta-, comparative analyses synthesize current research trends, benefits, challenges, gaps. highlights how enhances IoT’s collection capabilities through predictive modeling, real-time analytics, automated making, thereby improving accuracy, timeliness, efficiency systems. Key benefits identified include enhanced precision, cost efficiency, scalability, facilitation proactive management. Nevertheless, this encounters substantial obstacles, including issues quality, interoperability, security, technical constraints, ethical concerns. Future developments point toward enhancements technologies, incorporation innovations like blockchain edge computing, potential formation global systems, greater public involvement citizen science initiatives. Overcoming these challenges embracing new technological trends could enable play pivotal role strengthening sustainability resilience.

Language: Английский

Citations

3
Deep learning for intrusion detection in IoT networks DOI

Mehdi Selem,

Farah Jemili, Ouajdi Korbaa

et al.

Peer-to-Peer Networking and Applications, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 9, 2025

Language: Английский

Citations

2
Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency DOI Creative Commons

Rashin Mousavi,

Arash Kheyraddini Mousavi, Yashar Mousavi

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 382, P. 125296 - 125296

Published: Jan. 13, 2025

Language: Английский

Citations

2
Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications DOI Creative Commons
Irmina Durlik, Tymoteusz Miller, Danuta Cembrowska-Lech

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(17), P. 9742 - 9742

Published: Aug. 28, 2023

The Internet of Things (IoT) is significantly transforming the maritime industry, enabling generation vast amounts data that can drive operational efficiency, safety, and sustainability. This review explores role potential analysis in IoT applications. Through a series case studies, it demonstrates real-world impact analysis, from predictive maintenance to efficient port operations, improved navigation environmental compliance. also discusses benefits limitations highlights emerging trends future directions field, including growing application AI Machine Learning techniques. Despite promising opportunities, several challenges, quality, complexity, security, cost, interoperability, need be addressed fully harness IoT. As industry continues embrace becomes critical focus on overcoming these challenges capitalizing opportunities improve operations.

Language: Английский

Citations

33