Results 181 to 190 of about 22,093 (250)

Protecting cells at the genetic level and simulating unauthorized access via a biohackathon. [PDF]

Sci Adv
Kim D, Kumar I, Hassan MI, Barraza-Vergara LF, Voigt CA, Wilson CJ.   +5 more
europepmc   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

A hybrid super learner ensemble for phishing detection on mobile devices. [PDF]

Sci Rep
Rao RS, Kondaiah C, Pais AR, Lee B.
europepmc   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

A comprehensive bedside chest radiography dataset with structured, itemized and graded radiologic reports. [PDF]

Sci Data
Truhn D, Geiger D, Siepmann R, von der Stück MS, Bressem KK, Kather JN, Kuhl C, Müller-Franzes G, Nebelung S.   +8 more
europepmc   +1 more source

Demographic buffering in natural populations: A multi‐level perspective

Journal of Animal Ecology, EarlyView.
We introduce a multi‐level framework that unites stochastic elasticities with nonlinear selection to test demographic buffering. Applying it across mammals reveals a key insight: ecological robustness to variability often decouples from evolutionary constraint, reshaping how we understand resilience under environmental stochasticity.
Gabriel Silva Santos, Samuel J. L. Gascoigne, André Tavares Corrêa Dias, Maja Kajin, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Mitigating semantic label divergence in federated learning: Obfuscated encoding and alert filtering for security monitoring. [PDF]

PLoS One
Lee Y, Im J, Kim J, Yoon M.
europepmc   +1 more source

Crisis micro‐learning: A framework for understanding the micro‐flow of policy learning and Australia's COVID‐19 response

Australian Journal of Public Administration, EarlyView.
Abstract COVID‐19 has intensified interest in crisis policy learning, yet the micro‐level interactions among political, bureaucratic, and expert actors remain underexplored. We conceptualise an ideal‐type framework for the micro‐flow of crisis learning, an ordinarily epistemic and context‐specific process of individual‐level interactions, where lessons
Neil Mortimer, Nicholas Bromfield
wiley   +1 more source

Hybrid deep learning framework for accurate classification of high dimensional genomic data. [PDF]

Sci Rep
Swain MK, Kamila NK, Jena L, Chithaluru P, Albeshri MY, Alsekait DM.   +5 more
europepmc   +1 more source

Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]

Sci Rep
Kirubavathi G, Padma Mayuri B, Pranathasree S, Alagappan R, Ajayan A, Ismael WM, Rehman AU.   +6 more
europepmc   +1 more source