谷歌浏览器插件
订阅小程序
在清言上使用
VIPCreated with Sketch.
研究兴趣

论文共 121 篇作者统计合作学者相似作者

按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Rise of Federated Learning to Real-World Applications
Shaligram Prajapat, Shubhi Gehlot,Dishita Naik,Nitin Naik
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.699-719, (2024)
引用0浏览0引用
0
0
Cyberattack Analysis Based on Attack Tree with Weighted Average Probability and Risk of Attack
Nitin Naik,Paul Jenkins,Paul Grace
ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2022 (2024): 324-333
引用0浏览0EI引用
0
0
A Comparative Analysis of Threat Modelling Methods: STRIDE, DREAD, VAST, PASTA, OCTAVE, and LINDDUN
Nitin Naik,Paul Jenkins,Paul Grace,Dishita Naik,Shaligram Prajapat,Jingping Song
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.271-280, (2024)
引用0浏览0引用
0
0
Sorry, I Am an AI Language Model: Understanding the Limitations of ChatGPT
Dishita Naik,Ishita Naik,Nitin Naik
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.26-42, (2024)
引用0浏览0引用
0
0
Imperfectly Perfect AI Chatbots: Limitations of Generative AI, Large Language Models and Large Multimodal Models
Dishita Naik,Ishita Naik,Nitin Naik
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.43-66, (2024)
引用0浏览0引用
0
0
An Introduction to Threat Modelling: Modelling Steps, Model Types, Benefits and Challenges
Nitin Naik,Paul Jenkins,Paul Grace,Dishita Naik,Shaligram Prajapat,Jingping Song
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.260-270, (2024)
引用0浏览0引用
0
0
Artificial Intelligence (AI) Applications in Chemistry
Ishita Naik,Dishita Naik,Nitin Naik
ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2023 (2024): 545-557
引用0浏览0EI引用
0
0
Large Data Begets Large Data: Studying Large Language Models (llms) and Its History, Types, Working, Benefits and Limitations
Dishita Naik,Ishita Naik,Nitin Naik
Lecture Notes in Networks and Systems Contributions Presented at The International Conference on Computing, Communication, Cybersecurity and AI, July 3–4, 2024, London, UKpp.293-314, (2024)
引用0浏览0引用
0
0
加载更多
作者统计

#Papers: 121

#Citation: 1964

H-Index: 24

G-Index: 39

Sociability: 4

Diversity: 3

Activity: 8

  • 合作者
  • 学生
  • 导师
暂无相似学者，你可以通过学者研究领域进行搜索筛选
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cn