Results 71 to 80 of about 2,130 (190)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
MedComm, Volume 7, Issue 8, August 2026.This study provides comprehensive insights into the epigenetic impacts of dietary interventions, specifically contrasting the effects of a vegan diet (VD) with a meat‐rich diet (MR) on DNAm profiles and their potential health implications. Dietary habits can significantly reshape the epigenomic landscape within 1 month, with the VD exerting a more ...
L. Karbacher +6 more
wiley +1 more source
Karimah TauhidPenelitian ini bertujuan untuk mengetahui pengelolaan perjalanan dinas di Pusat Pengembangan Sumber Daya Manusia BNN. Dalam metode penelitian ini tinjauan literatur dikombinasikan dengan penelitian kualitatif. Selain itu, temuan penelitian dari tinjauan literatur dan penelitian lapangan disajikan dalam slide ringkasan, dengan informasi diterjemahkan ...
Sri Damayanti +2 more
openaire +1 more source
Biodegradable, Biologically Safe Nanogenerators for Self‐Powered Bio‐Integrated Systems
Small Structures, Volume 7, Issue 8, August 2026.Biodegradable TENGs, PENGs, and hybrid systems convert biomechanical motions into electrical signals while safely degrading after use. This review highlights their working mechanisms, biodegradable material platforms, and wearable and implantable bio‐integrated applications, including motion and respiration monitoring, biosignal detection, electrical ...
Sungkeun Han +5 more
wiley +1 more source
Journal of Food Safety, Volume 46, Issue 4, August 2026.The formation of mono‐, dual‐, and triple‐species biofilms by L. monocytogenes, S. aureus, and E. coli was characterized by cell growth, metabolic activity, staining, and microscopy. Their resistance to a commercial disinfectant (NaOCl) and natural agents such as vinegar and lactic acid was evaluated.
Viviana Švarcová +6 more
wiley +1 more source
Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
Physics Letters B, 2018 Bayesian neural network (BNN) approach is employed to improve the nuclear mass predictions of various models. It is found that the noise error in the likelihood function plays an important role in the predictive performance of the BNN approach.
Z.M. Niu, H.Z. Liang
doaj +1 more source
Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection
IEEE AccessThe probabilistic Bayesian neural network(BNN) is good at providing trustworthy outcomes that is important, e.g. in intrusion detection. Due to the complex of probabilistic BNN, it is looks like a “black box”.
Tengfei Yang, Yuansong Qiao, Brian Lee
doaj +1 more source
Jurnal IUS, 2013 Therefore, there should be an effort to prevent and to fight against the drug abuse and illicit trafficking in Penitentiary. But, in handling narcotic in Penitentiary there is conflict of authority between National Narcotic Agency (BNN) which is in ...
Muhammad Amin Imran
doaj +1 more source
BDD, BNN, and FPGA on Fuzzy Techniques for Rapid System Analysis
Advances in Fuzzy Systems, 2012 This paper looks at techniques to simplify data analysis of large multivariate military sensor systems. The approach is illustrated using representative raw data from a video-scene analyzer. First, develop fuzzy neural net relations using Matlab. This represents the best fidelity fit to the data and will be used as reference for comparison. The data is
Rahul Dixit, Harpreet Singh
openaire +2 more sources
Un método gráfico para la regionalización agroecológica de recursos naturales
Investigaciones Geográficas, 1999 In order to acquire a practical methodology ot great use for the BNN computation and its involved dynamics, that contains a large potentiality in the use of decisions for the continuity and optimization of natural resources as well as for the acquisition
Walter Ritter Ortiz +2 more
doaj +1 more source