Results 121 to 130 of about 10,571 (279)

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

On the security of the CLSV PAEKS scheme

Journal of Mathematical Cryptology
Calderini, Longo, Sala and Villa (Journal of Mathematical Cryptology 2024) proposed a public key encryption with keyword search (PKES) scheme which we call the CLSV scheme. They claim that the scheme provides Ciphertext-Indistinguishability (CI) security
Emura Keita, Ohigashi Toshihiro, Sugio Nobuyuki   +2 more
doaj   +1 more source

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance

Veterinary Record, EarlyView.
Abstract Background Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. Methods Electronic health records (EHRs) were collected from four farm animal veterinary practices in Wales (February 2024‒January 2025) as part of a pilot study.
Beverley Hopkins, Peers Davies, Peter‐John Noble, Anna Bunford‐Davies, April Lawson, Gina Pinchbeck, Ifan Lloyd, Robert Smith, Alan D. Radford   +8 more
wiley   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source

Cryptanalysis of Keyword Confidentiality in a Searchable Public-Key Encryption Scheme Against Malicious Server

IET Information Security
Public-key authenticated encryption with keyword search (PAEKS) is a novel cryptographic primitive to resist against keyword-guessing attacks (KGAs) and preserve the privacy of keywords in both ciphertexts and trapdoors.
Nan Zhang, Baodong Qin, Dong Zheng
doaj   +1 more source

Multi-keyword public key searchable encryption scheme with pattern hiding

Tongxin xuebao
To address the limitations of existing multi-user searchable encryption (SE) schemes that fail to hide access patterns, search patterns, and resist keyword guessing attacks, a novel public-key searchable encryption scheme was proposed supporting multi ...
NIE Xuyun, CHENG Chi, GENG Cong, LIAO Zeyu, JIAO Lihua, CHEN Ruidong, CHEN Dajiang   +6 more
doaj  

Leveraging AI to Capture Textual and Visual Elements: Insights for HRM Research and Practice

Human Resource Management Journal, EarlyView.
ABSTRACT This paper advances Human Resource Management (HRM) scholarship by introducing an accessible method to analyse of both visual and textual social media content in combination. Although HRM studies increasingly mobilise social media data, most approaches remain text‐centric, overlooking the HR‐relevant cues, embedded in images, that can inform ...
Yin Liang, Jeremy Aroles, Yulei Li
wiley   +1 more source

Natural Language Processing of Large Numbers of Radiology Reports in a Public Health System to Extract Structured Data, With a Test Case of CT KUB

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Background Natural language processing (NLP) was used to extract structured information from large numbers of radiology reports with the aim of showing the feasibility of this approach for system monitoring, conducting clinical research and improving practice.
Michael Birry, Craig Roach, Daniel A. Hunter‐Philpott, Anthony J. Doyle   +3 more
wiley   +1 more source