15 years of Big Data: a systematic literature review DOI Creative Commons
Davide Tosi,

Redon Kokaj,

Marco Roccetti

et al.

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: May 14, 2024

Abstract Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Therefore, lot effort has been pushed into research in last 15 years. The objective this Systematic Literature Review to summarize current state art previous years about by providing answers set questions related main application domains for analytics; significant challenges limitations researchers have encountered analysis, emerging trends future directions Data. review follows predefined procedure that automatically searches five well-known digital libraries. After applying selection criteria results, 189 primary studies were identified relevant, which 32 Reviews. Required information was extracted from summarized. Our sketched picture Data, identifying domains, challenges, field. We believe substantial amount work remains be done align seamlessly integrate data-driven advanced software solutions future.

Language: Английский

Enhancing Cybersecurity through AI and ML: Strategies, Challenges, and Future Directions DOI Open Access
Maryam Roshanaei,

Mahir R. Khan,

Natalie N. Sylvester

et al.

Journal of Information Security, Journal Year: 2024, Volume and Issue: 15(03), P. 320 - 339

Published: Jan. 1, 2024

The landscape of cybersecurity is rapidly evolving due to the advancement and integration Artificial Intelligence (AI) Machine Learning (ML). This paper explores crucial role AI ML in enhancing defenses against increasingly sophisticated cyber threats, while also highlighting new vulnerabilities introduced by these technologies. Through a comprehensive analysis that includes historical trends, technological evaluations, predictive modeling, dual-edged nature examined. Significant challenges such as data privacy, continuous training models, manipulation risks, ethical concerns are addressed. emphasizes balanced approach leverages innovation alongside rigorous standards robust practices. facilitates collaboration among various stakeholders develop guidelines ensure responsible effective use cybersecurity, aiming enhance system integrity privacy without compromising security.

Language: Английский

Citations

12

Utilizing the Kolmogorov-Arnold Networks for Chiller Energy Consumption Prediction in Commercial Building DOI
Mohd Herwan Sulaiman, Zuriani Mustaffa, Muhammad Salihin Saealal

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110475 - 110475

Published: Aug. 15, 2024

Language: Английский

Citations

12

Artificial intelligence in civil engineering DOI
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 74

Published: Jan. 1, 2024

Citations

11

Energy Efficiency and Human Comfort DOI
Shalom Akhai, Alex Khang

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 93 - 108

Published: March 4, 2024

Hospitals face the challenge of achieving an energy economy while maintaining a healthy atmosphere for patient comfort and recovery. This chapter reviews integration artificial intelligence (AI) internet things (IoT) in hospital HVAC systems how they help achieve optimal conditions temperature, ventilation, usage. AI algorithms can automatically adjust air conditioning settings, reducing usage required conditions. leads to efficient cost reduction. These technologies when integrated into improve indoor environment. In order maintain ideal effective outcomes rehabilitation, are used, but consume high operate. By combining IoT, hospitals optimize their use human comfort, quality.

Language: Английский

Citations

11

15 years of Big Data: a systematic literature review DOI Creative Commons
Davide Tosi,

Redon Kokaj,

Marco Roccetti

et al.

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: May 14, 2024

Abstract Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Therefore, lot effort has been pushed into research in last 15 years. The objective this Systematic Literature Review to summarize current state art previous years about by providing answers set questions related main application domains for analytics; significant challenges limitations researchers have encountered analysis, emerging trends future directions Data. review follows predefined procedure that automatically searches five well-known digital libraries. After applying selection criteria results, 189 primary studies were identified relevant, which 32 Reviews. Required information was extracted from summarized. Our sketched picture Data, identifying domains, challenges, field. We believe substantial amount work remains be done align seamlessly integrate data-driven advanced software solutions future.

Language: Английский

Citations

11