Artificial Intelligence in Personalized Medicine

Srija, K; Prithvi, P. P. R.; Saxena, Ankur; Grover, Alka; Chandra, Shivani; Jain, Shalini Jauhari

doi:10.1007/978-981-16-0811-7_3

Cited by 3 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the last few years, machine learning and Artificial Intelligence have also played a vital role in this endeavour. These tools enable investigators to evaluate massive databases and identify anomalies and patterns that cannot be detected through human analysis (Saxena et al, 2023). ML algorithms have been used in cybersecurity to detect real-time threats by continually monitoring network traffic and system activity to detect malicious actions or intrusions (Kumar, 2023).…”

Section: Forensic Approaches and Security Framework For Critical Infr...mentioning

confidence: 99%

Investigating the Secrets, New Challenges, and Best Forensic Methods for Securing Critical Infrastructure Networks

Fakiha

2024

JOWUA

View full text Add to dashboard Cite

As critical infrastructure networks become more interconnected and digitalized, they confront increased cyber threats fueled by the growing adoption of digitalized working and general operation methods around the world. This research delves into the complex topic of critical infrastructure network security by examining the hidden challenges and best forensic techniques used to safeguard these crucial systems. The study utilizes a comprehensive data collection approach that integrates an experiment and a case study to provide an in-depth understanding of this essential subject. It assesses the efficacy of various digital forensic procedures customized for critical infrastructure network protection by using meticulously designed experiments within controlled simulated environments. The findings highlight the wide range of challenges and threats that organizations tasked with maintaining and securing these networks encounter. The case study illuminates how forensic practices can be used in incident response and recovery situations. The results highlight the significance of a diversified approach to safeguarding critical infrastructure networks. They emphasize the need for modern methods and practices, such as blockchain technology and Artificial intelligence, by analyzing findings from the experiment and the case study.

show abstract

Section: Forensic Approaches and Security Framework For Critical Infr...mentioning

confidence: 99%

Investigating the Secrets, New Challenges, and Best Forensic Methods for Securing Critical Infrastructure Networks

Fakiha

2024

JOWUA

View full text Add to dashboard Cite

show abstract

“…This can assist pilots and defence personnel in detecting and responding to threats effectively. 15 Moreover, the integration of these technologies enables other additional capabilities.…”

Section: Review Of Literaturementioning

confidence: 99%

“…-Political stability, government regulations, and policies can impact HAL's automated manufacturing initiatives (Interviewee 4, 6, 8, 11). 33 4. , (15), General Manager, IT Department , Government Aviation Supplier Company -Staying abreast of technological advancements and industry trends is crucial for HAL's long-term success in automated manufacturing.…”

Section: Table 1 Thematic Analysis Of the Interviews With The Expertsmentioning

confidence: 99%

“…(Interviewee 3, 5, 7, 9, 16). 36 7. , (15), Vice President Operations, Aircraft Manufacturer, France -Alignment between the product design and the manufacturing process, ensuring that the design is compatible with the automated manufacturing systems -Automation and robotics are vital for streamlining manufacturing processes.…”

Section: Table 1 Thematic Analysis Of the Interviews With The Expertsmentioning

confidence: 99%

“…, HOD Aircraft Design and Structural Development, France -Hindustan Aeronautics should have strong leadership and management support to drive the implementation process effectively.-Management involvement ensures proper resource allocation, decision-making, and coordination among different departments, resulting in successful outcomes in automated manufacturing. (Interviewee 4,8,11,15) 45. …”

mentioning

confidence: 99%

See 2 more Smart Citations

Key factors driving the potential future developments in automated manufacturing at Hindustan aeronautics ltd (HAL)

Subramanian Iyer,

Marwah,

Pal Kaur

et al. 2024

AAOAJ

View full text Add to dashboard Cite

This research aims to explore the key factors driving the application of Big Data and IoT/AI in potential future developments of automated manufacturing at Hindustan Aeronautics Ltd (HAL). By investigating the current state of automated manufacturing, the study will identify the benefits and challenges associated with integrating Big Data, IoT, and AI technologies. The research questions will focus on understanding the factors influencing the adoption of these technologies, their impact on manufacturing processes, and the potential benefits they offer to HAL. The research objectives include analysing the current landscape of automated manufacturing, identifying key factors driving the application of Big Data and IoT/AI, assessing the benefits and challenges of implementing these technologies, and providing recommendations for HAL's future developments in automated manufacturing.

show abstract

Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future

Theijeswini,

Basu,

Swetha

et al. 2024

Health Technol.

View full text Add to dashboard Cite

Artificial Intelligence in Personalized Medicine

Cited by 3 publications

References 28 publications

Investigating the Secrets, New Challenges, and Best Forensic Methods for Securing Critical Infrastructure Networks

Investigating the Secrets, New Challenges, and Best Forensic Methods for Securing Critical Infrastructure Networks

Key factors driving the potential future developments in automated manufacturing at Hindustan aeronautics ltd (HAL)

Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future

Contact Info

Product

Resources

About