Results 281 to 290 of about 850,549 (316)

D-Bot: Database Diagnosis System using Large Language Models

Proceedings of the VLDB Endowment, 2023
Database administrators (DBAs) play an important role in managing database systems. However, it is hard and tedious for DBAs to manage vast database instances and give timely response (waiting for hours is intolerable in many online cases). In addition,
Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng   +8 more
semanticscholar   +1 more source

SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs

IEEE International Conference on Robotics and Automation, 2023
Object rearrangement is pivotal in robotic-environment interactions, representing a significant capability in embodied AI. In this paper, we present SG-Bot, a novel rearrangement framework that utilizes a coarse-to-fine scheme with a scene graph as the ...
Guangyao Zhai, Xiao Cai, Dianye Huang, Yan Di, Fabian Manhardt, Federico Tombari, N. Navab, Benjamin Busam   +7 more
semanticscholar   +1 more source

BOTS

ACM SIGPLAN Notices, 2006
Embedded application developers create applications for a wide range of devices with different resource constraints. Developers want to maximize the use of the limited resources available on the device while still not exceeding the capabilities of the device. To do this, the developer must be able to scale his software for different platforms.
Raju Pandey, Jeffrey Wu
openaire   +1 more source

Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city

Future generations computer systems, 2020
Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in smart city. Recently, the research community in the field of IoT Security endeavor hard to build anomaly, intrusion and cyber attacks traffic identification ...
M. Shafiq, Zhihong Tian, Yanbin Sun, Xiaojiang Du, M. Guizani   +4 more
semanticscholar   +1 more source

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

European Conference on Computer Vision
The revolutionary capabilities of large language models (LLMs) have paved the way for multimodal large language models (MLLMs) and fostered diverse applications across various specialized domains.
Dilxat Muhtar, Zhenshi Li, Feng Gu, Xue-liang Zhang, P. Xiao   +4 more
semanticscholar   +1 more source

Deep Learning Based Social Bot Detection on Twitter

IEEE Transactions on Information Forensics and Security, 2023
While social bots can be used for various good causes, they can also be utilized to manipulate people and spread malware. Therefore, it is crucial to detect bots running on social media platforms.
Efe Arin, Mucahid Kutlu
semanticscholar   +1 more source

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Annual Meeting of the Association for Computational Linguistics
Social media bot detection has always been an arms race between advancements in machine learning bot detectors and adversarial bot strategies to evade detection.
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov   +5 more
semanticscholar   +1 more source

SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection

Knowledge Discovery and Data Mining
Recent advancements in social bot detection have been driven by the adoption of Graph Neural Networks. The social graph, constructed from social network interactions, contains benign and bot accounts that influence each other.
Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao   +6 more
semanticscholar   +1 more source

A Review and Analysis of the Bot-IoT Dataset

International Symposium on Service Oriented Software Engineering, 2021
Machine learning is rapidly changing the cybersecu-rity landscape. The use of predictive models to detect malicious activity and identify inscrutable attack patterns is providing levels of automation that are desperately needed to level the playing field
Jared M. Peterson, Joffrey L. Leevy, T. Khoshgoftaar   +2 more
semanticscholar   +1 more source

Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot

Advances in Materials, 2020
The optimal synthesis of advanced nanomaterials with numerous reaction parameters, stages, and routes, poses one of the most complex challenges of modern colloidal science, and current strategies often fail to meet the demands of these combinatorially ...
Robert W. Epps, M. Bowen, Amanda A. Volk, Kameel Abdel-latif, Suyong Han, Kristofer G. Reyes, A. Amassian, M. Abolhasani   +7 more
semanticscholar   +1 more source