Results 131 to 140 of about 154,459 (280)
Advanced Intelligent Systems, EarlyView.This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, EarlyView.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model. [PDF]
Sci RepTian X, Ding J, Liu H, Xing X, Liu J.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning. [PDF]
Sci RepRen C, Fu F, Yin C, Lu L, Cheng L.
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Angewandte Chemie, EarlyView.Current interest in artificial cell research underscores its potential to deepen our understanding of life's fundamental processes. This review highlights advances in bottom‐up coacervate‐based artificial cell engineering via combined integration of cellular hallmarks.
Arjan Hazegh Nikroo +3 more
wiley +2 more sources
A Short-Term Traffic Flow Prediction Method Based on Personalized Lightweight Federated Learning. [PDF]
Sensors (Basel)Dai G, Tang J.
europepmc +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source