Results 41 to 50 of about 1,169 (288)

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Fast and Parallel Keyword Search Over Public-Key Ciphertexts for Cloud-Assisted IoT

IEEE Access, 2017
Cloud-assisted Internet of Things (IoT) is a popular system model to merge the advantages of both the cloud and IoT. In this model, IoT collects the real-world data, and the cloud maximizes the value of these data by sharing and analyzing them.
Peng Xu, Xiaolan Tang, Wei Wang, Hai Jin, Laurence T. Yang   +4 more
doaj   +1 more source

A new trapdoorindistinguishable public key encryption with keyword search [PDF]

, 2012
The public key encryption with keyword search (PEKS) provides a way for users to search data which are encrypted under the users' public key on a storage system.
Xiaofeng Chen, Yuanjie Zhao, Hua Ma, Hui Zhu, Qiang Tang   +4 more
core  

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Certificate-Based Encryption with Keyword Search: Enabling Secure Authorization in Electronic Health Record [PDF]

Journal of Internet Services and Information Security, 2016
In an e-Health scenario, we study how the practitioners are authorized when they are requesting access to medical documents containing sensitive information. Consider the following scenario. A clinician wants to access and retrieve a patient’s Electronic
Clémentine Gritti, Willy Susilo, Thomas Plantard   +2 more
doaj  

How Can We Achieve Query Keyword Frequency Analysis in Privacy-Preserving Situations?

Future Internet, 2023
Recently, significant progress has been made in the field of public key encryption with keyword search (PEKS), with a focus on optimizing search methods and improving the security and efficiency of schemes.
Yiming Zhu, Dehua Zhou, Yuan Li, Beibei Song, Chuansheng Wang   +4 more
doaj   +1 more source

Expressive Public-Key Encryption With Keyword Search: Generic Construction From KP-ABE and an Efficient Scheme Over Prime-Order Groups

IEEE Access, 2020
Public key encryption with keyword search (PEKS) allows a cloud server to retrieve particular ciphertexts without leaking the contents of the searched ciphertexts.
Chen Shen, Yang Lu, Jiguo Li
doaj   +1 more source

Exposure Resilient Public-key Encryption with Keyword Search against Keyword Guessing Attack

, 2022
Public-key Encryption with Keyword Search (PEKS), proposed by Boneh et al. in 2004, is a cryptographic primitive that enables keyword search over encrypted data.
上村 海斗
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source