Results 101 to 110 of about 162,726 (268)
A Novel Approach to Detect Malware Variants Based on Classified Behaviors
An application programming interface (API) is an excellent feature since it is a procedure call interface to an operating system resource. Behavior features based on API play an important role in analyzing malware variants.
Donggao Du, Yi Sun, Yan Ma, Fei Xiao
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Developing Interaction 3D Models for E-Learning Applications [PDF]
Some issues concerning the development of interactive 3D models for e-learning applications are considered. Given that 3D data sets are normally large and interactive display demands high performance computation, a natural solution would be placing the ...
Robinson, Alan, Rodrigues, Marcos
core
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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 +5 more
wiley +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence [PDF]
This report shows that with the most recent advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP) using generative-pretrained transformers, we can develop robust AI applications to assist customer service departments with ...
Ty Ebsen +3 more
doaj
Upon a Message-Oriented Trading API [PDF]
In this paper, we introduce the premises for a trading system application-programming interface (API) based on a message-oriented middleware (MOM), and present the results of our research regarding the design and the implementation of a simulation ...
Claudiu VINTE
core

