Log in

Relevant bibliographies by topics / AI-Driven Resilience

Contents

Journal articles
Book chapters
Conference papers
Reports

Academic literature on the topic 'AI-Driven Resilience'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'AI-Driven Resilience.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "AI-Driven Resilience"

1

Venkadesh, Dr P. "Aegis AI - Intelligent Cyber Resilience." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42978.

Full text

Abstract:

As cyber threats continue to evolve in complexity and scale, traditional security measures have become insufficient. Aegis AI (AAI): Intelligent Cyber Resilience presents a cutting-edge approach that integrates artificial intelligence (AI) and machine learning (ML) to strengthen cybersecurity defenses. This study explores the role of AI-driven threat intelligence, automated incident response, and adaptive learning in combating cyberattacks. The proposed AAI framework utilizes deep learning, anomaly detection, and reinforcement learning techniques to predict and mitigate threats in real time. B

APA, Harvard, Vancouver, ISO, and other styles

2

Singh, Deepank Kumar, and Vedhus Hoskere. "Climate Resilience through AI-Driven Hurricane Damage Assessments." Proceedings of the AAAI Symposium Series 2, no. 1 (2024): 140–47. http://dx.doi.org/10.1609/aaaiss.v2i1.27661.

Full text

Abstract:

Evolving hurricane patterns intensified by climate change are expected to exacerbate economic hardships on coastal communities. Climate resilience for these communities requires both the capability to recover rapidly from devastating storms, and the ability to develop an accurate and actionable understanding of vulnerabilities to reduce the impact of future storms. Available data from past storms can provide invaluable insight in addressing both these requirements. Post-disaster preliminary damage assessments (PDAs) are a crucial initial step toward a rapid recovery. They also provide the most

APA, Harvard, Vancouver, ISO, and other styles

3

Dakshaja Prakash Vaidya. "AI-Driven Predictive Resilience in Multi-Cloud Environments." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 1097–108. https://doi.org/10.32996/jcsts.2025.7.4.124.

Full text

Abstract:

This article introduces a novel AI-driven framework designed to enhance resilience in multi-cloud environments by predicting infrastructure failures and resource constraints before they impact service availability. The article leverages advanced machine learning techniques, including anomaly detection and time-series forecasting, to analyze telemetry data across heterogeneous cloud providers and identify emerging failure patterns with sufficient lead time for preventive intervention. Through a graduated remediation approach that automatically triggers appropriate response actions via integrati

APA, Harvard, Vancouver, ISO, and other styles

4

Satya Sai Ram Alla. "Demystifying AI-driven cloud resiliency: How machine learning enhances fault tolerance in hybrid cloud infrastructure." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 1203–15. https://doi.org/10.30574/wjaets.2025.15.2.0591.

Full text

Abstract:

The evolution of cloud infrastructure resilience has transitioned from traditional redundancy-based approaches to sophisticated AI-driven frameworks that enhance fault tolerance in hybrid and multi-cloud environments. This article examines how machine learning models improve cloud-native resiliency through predictive analytics, automated remediation, and intelligent resource allocation. Through systematic literature review and case studies across streaming media, container orchestration, and retail platforms, the effectiveness of various AI techniques is evaluated against traditional methods.

APA, Harvard, Vancouver, ISO, and other styles

5

Al-Hourani, Shireen, and Dua Weraikat. "A Systematic Review of Artificial Intelligence (AI) and Machine Learning (ML) in Pharmaceutical Supply Chain (PSC) Resilience: Current Trends and Future Directions." Sustainability 17, no. 14 (2025): 6591. https://doi.org/10.3390/su17146591.

Full text

Abstract:

The resilience of the pharmaceutical supply chain (PSC) is crucial to ensuring the availability of medical products. However, increasing complexity and logistical bottlenecks have exposed weaknesses within PSC frameworks. These challenges underscore the urgent need for more resilient and intelligent supply chain solutions. Recently, Artificial Intelligence and machine learning (AI/ML) have emerged as transformative technologies to enhance PSC resilience. This study presents a systematic review evaluating the role of AI/ML in advancing PSC resilience and their applications across PSC functions.

APA, Harvard, Vancouver, ISO, and other styles

6

Calengor, Sally, Sai Prathyush Katragadda, and Joshua Steier. "Adversarial Threats in Climate AI: Navigating Challenges and Crafting Resilience." Proceedings of the AAAI Symposium Series 2, no. 1 (2024): 46–53. http://dx.doi.org/10.1609/aaaiss.v2i1.27648.

Full text

Abstract:

The convergence of Artificial Intelligence (AI) with climate science is a double-edged sword. AI-enhanced modeling has transformative potential for the field, but it comes with new vulnerabilities, especially from adversarial machine learning. Such adversarial tactics can distort AI-driven climate models, producing misleading projections on phenomena like sea-level changes and temperature predictions. Beyond just mod-eling, AI-enhanced systems in resource management, conserva-tion, and agriculture are at risk. Tampering with climate da-tasets can undermine decades of global research and erode

APA, Harvard, Vancouver, ISO, and other styles

7

Uzozie, Ogechi Thelma, Osazee Onaghinor, Oluwafunmilayo Janet Esan, Grace Omotunde Osho, and Julius Olatunde Omisola. "AI-Driven Supply Chain Resilience: A Framework for Predictive Analytics and Risk Mitigation in Emerging Markets." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 1 (2023): 1141–50. https://doi.org/10.54660/.ijmrge.2023.4.1.1141-1150.

Full text

Abstract:

The increasing complexity and volatility of global supply chains, particularly in emerging markets, necessitate the adoption of advanced technologies to enhance resilience and mitigate risks. This paper presents a robust AI-driven supply chain resilience framework, leveraging predictive analytics and risk mitigation strategies to address disruptions. It explores the role of AI-powered models, including machine learning and deep learning, in forecasting potential risks and improving adaptive decision-making. Additionally, the study examines AI applications in proactive risk mitigation, such as

APA, Harvard, Vancouver, ISO, and other styles

8

Sunil Jorepalli. "AI-Driven Incident Response in Enterprise Networks: Enhancing Security and Resilience." Journal of Information Systems Engineering and Management 10, no. 42s (2025): 692–97. https://doi.org/10.52783/jisem.v10i42s.8109.

Full text

Abstract:

This study explores the role of AI-driven incident response mechanisms in enhancing the security and resilience of enterprise networks. By employing a quantitative and descriptive research design, the study analyzes the frequency and effectiveness of AI responses across various types of security incidents. Data was collected through a simulated enterprise network environment, where a total of 150 security incidents and corresponding AI response actions were recorded. The results indicate that AI significantly accelerates threat detection and mitigation, with automated threat containment and ma

APA, Harvard, Vancouver, ISO, and other styles

9

Zhang, Daren. "AI integration in supply chain and operations management: Enhancing efficiency and resilience." Applied and Computational Engineering 90, no. 1 (2024): 8–13. http://dx.doi.org/10.54254/2755-2721/90/2024melb0060.

Full text

Abstract:

Artificial intelligence (AI) has become a transformative force in supply chain and operations management, offering significant enhancements in efficiency and resilience. This paper examines the integration of AI technologies such as machine learning, predictive analytics, and real-time data processing in demand forecasting, inventory management, logistics, and risk mitigation. By analyzing diverse data sources, AI improves demand forecasting accuracy, reduces inventory costs, optimizes logistics routes, and enhances supply chain visibility. Case studies and data-driven insights demonstrate how

APA, Harvard, Vancouver, ISO, and other styles

10

Bhanu, Raju Nida. "AI-Powered Procurement: Transforming Efficiency, Agility, and Resilience in Supply Chains." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 11, no. 1 (2025): 1–8. https://doi.org/10.5281/zenodo.14945011.

Full text

Abstract:

Effective procurement methods are crucial, for boosting business efficiency; however traditional approaches often fall short due to their reliance on processes and disconnected systems that require intervention for decision making purposes. This research delves into the impact of Artificial Intelligence (AI) in revolutionizing procurement practices. Modern AI driven tools such as machine learning algorithms and natural language processing (NLP) along, with predictive analytics capabilities are evaluated for their ability to streamline tasks promote decision making and offer instantaneous valua

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "AI-Driven Resilience"

1

Sarker, Iqbal H. "AI for Critical Infrastructure Protection and Resilience." In AI-Driven Cybersecurity and Threat Intelligence. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54497-2_9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Ismaila, S. Y., Birahime Diouf, Abdou Khadre Diop, Cyril Drocourt, and David Durand. "AI-driven Threat Management in Healthcare Systems." In Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications. River Publishers, 2025. https://doi.org/10.1201/9788770047746-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Wehlmann, Christian Zinke. "Resilient and Sustainable AI. Positioning paper on the relation of AI, resilience and sustainability." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-43705-3_2.

Full text

Abstract:

AbstractIn the contemporary debate, surrounding the future of work and life, Artificial Intelligence (AI), resilience, and sustainability have emerged as pivotal concepts. Within the industrial realm, their collective convergence is driving unprecedented transformative shifts, challenging traditional paradigms. This positioning paper delves into the intricate interlinkages binding these three paradigms. Examples such as AI-driven automation, enhancing efficiency, and predictive maintenance, reducing machinery downtime, underscore the transformative role of AI in the industry. Meanwhile, an inc

APA, Harvard, Vancouver, ISO, and other styles

4

Tharayil, Sarafudheen M., Fuad Sha’lan, Saleh Alotaibi, Murad Almarhoun, Abdulrahman Hajjar, and Mohammed Aadil. "Enhancing Cyber Resilience Through AI-Driven Phishing Tests and Gamified Learning." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88304-0_20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Thakur, Jatin, Pooja Kansra, and Preeti Mehra. "AI-Driven Innovation." In Advances in Computational Intelligence and Robotics. IGI Global Scientific Publishing, 2025. https://doi.org/10.4018/979-8-3693-9611-7.ch008.

Full text

Abstract:

Through a focus on the growth and sustainability benefits for SMEs Leveraging AI powered innovation are discussed in this chapter. AI can help improve operational efficiency, provide data-based insights, and enable tailored consumer experiences—factors that SMEs are looking for to tackle resource constraints and high competition. AI's ability to enhance automation, marketing, supply chain management and financial operations open the floodgates to new opportunities for scalability and innovation. Moreover, AI helps make operations more sustainable by optimizing energy consumption, minimizing wa

APA, Harvard, Vancouver, ISO, and other styles

6

Omar, Khalil, Jamal Zraqou, Wesam Alkhadour, and Jorge Marx Gómez. "AI-Driven Transformation of Cybersecurity Insurance." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1977-3.ch008.

Full text

Abstract:

This chapter explores how artificial intelligence can change cybersecurity insurance by dealing with the main issues in risk assessment, pricing, and claims processing. It presents the Cyber Risk Intelligence Platform, an AI-driven system that joins machine learning, natural language processing, federated learning, and blockchain technologies. CRIP allows real-time threat discovery, ongoing security posture checking, privacy-preserving working together, and clear claims handling. By moving from reactive to proactive plans, the platform improves underwriting accuracy and operational efficiency

APA, Harvard, Vancouver, ISO, and other styles

7

Bhimavarapu, Usharani. "Innovating With AI for Climate Resilience." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8714-6.ch003.

Full text

Abstract:

This study examines the role of artificial intelligence (AI) in promoting sovereignty and carbon neutrality, with a focus on digital inclusion and climate-resilient AI strategies for emerging markets. By integrating insights from previous studies on AI's contribution to carbon neutrality and digital inclusion within the context of climate change, the chapter highlights the importance of technology policy frameworks in shaping effective AI strategies. Additionally, the chapter explores the use of confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) in evaluating and validati

APA, Harvard, Vancouver, ISO, and other styles

8

Ashok, P., Kirti Kaushik Biswas, K. S. Shreenidhi, Harishchander Anandaram, G. Karthikeyan, and F. Ravindaran. "Harnessing AI for Climate Resilience." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7230-2.ch008.

Full text

Abstract:

Reducing time taken to respond to climate events, AI also helps manage resource usage for higher climate resilience besides helping with superior analytical abilities. The effects of the extreme weather can be prevented and the impact of such a calamity reduced by using models that are AI driven to analyze a large amount of data regarding the environment, in order to forecast catastrophic weather conditions. In agriculture, food security is avengers by AI managing irrigation and crop grades based on the changes in climate. Thus, integrating AI into climate strategies, it is possible to create

APA, Harvard, Vancouver, ISO, and other styles

9

Agarwal, Pinky, and Neeraj Gupta. "AI-Driven Digital Transformation in Small and Medium-Sized Enterprises (SMEs)." In Advances in Computational Intelligence and Robotics. IGI Global Scientific Publishing, 2025. https://doi.org/10.4018/979-8-3693-9611-7.ch007.

Full text

Abstract:

Industry 5.0 represents a significant progression from Industry 4.0, highlighting a paradigm change in manufacturing and business practices with a shift towards more resilient, sustainable, and human-centric practices. The chapter delves into the role of Artificial Intelligence role in driving this transformation, offering benefits such as streamlined operations, improved customer experiences, optimized supply chains, and enhanced resilience. Small businesses can benefit from adopting AI-driven digital platforms, investing in employee training, implementing predictive analytics, strengthening

APA, Harvard, Vancouver, ISO, and other styles

10

Singh, Col Ravinder, and Geetha Manoharan. "Strengthening Resilience." In Internet of Things and AI for Natural Disaster Management and Prediction. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4284-8.ch012.

Full text

Abstract:

With climate change and natural catastrophe risk rising, India faces several risks. Administrators, disaster responders, and medical teams face difficult terrain. Emergency decision-making is being pursued to increase natural catastrophe resilience. Artificial intelligence and machine learning can revolutionize emergency decision-making by providing data-driven insights, improving predictive capabilities, optimizing resource allocation, and strengthening communities facing India's rising disaster risk. Artificial intelligence and machine learning can quickly and efficiently analyze large datas

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "AI-Driven Resilience"

1

Maness, Talya, Anat Brunstein-klomek, and Doron Friedman. "Enhancing Resilience through AI-Driven Virtual Reality." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00372.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Chokkanathan, K., S. M. Karpagavalli, G. Priyanka, K. Vanitha, K. Anitha, and P. Shenbagavalli. "AI-Driven Zero Trust Architecture: Enhancing Cyber-Security Resilience." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10816746.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Ndlovu, Mnqobi Prince, and Pitso Tsibolane. "Exploring Organizational Resilience Towards AI-Driven Cyber Threats: A Systematic Literature Review." In 2025 IST-Africa Conference (IST-Africa). IEEE, 2025. https://doi.org/10.23919/ist-africa67297.2025.11060472.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Andronikidis, Georgios, Charis Eleftheriadis, Zisis Batzos, et al. "AI-Driven Anomaly and Intrusion Detection in Energy Systems: Current Trends and Future Direction." In 2024 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, 2024. http://dx.doi.org/10.1109/csr61664.2024.10679380.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Fagerland, Benja, and Annita Fjuk. "THE DYNAMIC LEADERSHIP MODEL (DLM): LEADING AI-DRIVEN EDUCATIONAL TRANSFORMATION AND INSTITUTIONAL RESILIENCE." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.0872.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Raza, Waseem, Fahd Ahmed Khan, Haneya Naeem Qureshi, Usama Masood, and Ali Imran. "An AI-Driven Framework for Enhancing Resilience in Propagation Models to Enable Digital Twin." In 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2024. https://doi.org/10.1109/pimrc59610.2024.10817403.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Stefanakis, A. S., D. Kolokotsa, E. Kapartzianis, J. Bonis, and J. K. Kaldellis. "Novel PSE applications and knowledge transfer in joint industry - university energy-related postgraduate education." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.164061.

Full text

Abstract:

The field of Process Systems Engineering (PSE) is undergoing a renaissance through the integration of artificial intelligence (AI) and machine learning (ML). This transformation is driven by the vast availability of industrial data and advanced computing power, enabling the practical application of sophisticated ML models. These models enhance PSE capabilities in design, control, optimization, and safety. The progress of ML and ever-present data collection address previously intractable problems, particularly in system integration and life-cycle modeling. ML-powered predictive algorithms are a

APA, Harvard, Vancouver, ISO, and other styles

8

Zhou, Larry. "Generative AI Applications in Telecom." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.m3a.1.

Full text

Abstract:

This presentation explores GenAI's transformation role in telecom, enhancing predictive maintenance, automated troubleshooting, network modeling, and AI-driven service assurance. By leveraging multimodal AI and edge computing, we enable smarter, more efficient, and resilient network operations. Full-text article not available; see video presentation

APA, Harvard, Vancouver, ISO, and other styles

9

Melhem, Abdullah, Ahmed Aleroud, Abdullah Al-mamun, George Karabatis, and Mohamed I. Ibrahem. "Adversary-Resilient Clustered Federated Learning for Secure AI-Driven Healthcare Data Analytics." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059533.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Peters, Sebastian, Fikret Sivrikaya, Satyatma Winarga Rochadi, and Amina Ayadi-Miessen. "Cobra-5G – an AI-Driven Solution for Resilient Industrial Applications in Private 5G Environments." In 2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE, 2024. https://doi.org/10.1109/iccns62192.2024.10776531.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "AI-Driven Resilience"

1

Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

Full text

Abstract:

Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,

APA, Harvard, Vancouver, ISO, and other styles

2

Pasupuleti, Murali Krishna. Sustainable and Affordable Global Housing via AI and Advanced Materials. National Education Services, 2025. https://doi.org/10.62311/nesx/rr425.

Full text

Abstract:

Abstract: The global housing crisis demands innovative solutions that balance affordability, sustainability, and technological advancement. This research report explores the transformative role of Artificial Intelligence (AI) and advanced materials in addressing housing shortages, reducing environmental impact, and improving construction efficiency. AI-driven generative design, smart automation, and predictive analytics optimize resource allocation and enhance structural safety, while advanced materials such as 3D-printed composites, self-healing concrete, aerogels, and bio-based materials rev

APA, Harvard, Vancouver, ISO, and other styles

3

Boehm, Mirko, Hilary Carter, and Cailean Osborne. Pathways to Cybersecurity Best Practices in Open Source: How the Civil Infrastructure Platform, Yocto Project, and Zephyr Project are Closing the Gap to Meeting the Requirements of the Cyber Resilience Act. The Linux Foundation, 2025. https://doi.org/10.70828/updc4713.

Full text

Abstract:

This case study report from the Linux Foundation investigates the impacts of the Cyber Resilience Act on open source software, including new cybersecurity obligations and the role of manufacturers and stewards. The analysis highlights the security practices of Linux Foundation projects and notes challenges like long-term support, regulatory uncertainty, and standardization gaps. The report recommends investing in security tools, fostering collaboration, and addressing emerging threats such as AI-driven risks. By featuring the cybersecurity practices of three LF projects—Yocto Project, Zephyr,

APA, Harvard, Vancouver, ISO, and other styles

4

Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

Full text

Abstract:

Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!