Results 141 to 150 of about 28,593 (259)

A hybrid machine learning approach for detecting DDoS attacks in software-defined networks. [PDF]

Sci Rep
Mahar IA, Aziz K, Chakrabarti P, Ahmed N, Ladan M, Javed Y.   +5 more
europepmc   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation. [PDF]

Sci Rep
Kumar LKS, Nethi SR, Uyyala R, Vurubindi P, Narahari SC, Das AK, K VB, Alenazi MJF.   +7 more
europepmc   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

Advanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka, Kei Okada, Masayuki Inaba   +2 more
wiley   +1 more source

A federated deep learning approach for SDN security with quantum optimized feature selection and hybrid MSDC net architecture. [PDF]

Sci Rep
Rohith S, Logeswari G, Tamilarasi K, Sudhakaran G.   +3 more
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Identification and detection of DDoS attack on smart home infrastructure using machine learning models. [PDF]

Sci Rep
Raja TV, Ezziane Z, He J, Ma X, Wali-Zubair Kazaure A.   +4 more
europepmc   +1 more source

Network traffic classification using Apache Spark

, 2017
Apache Spark’s capabilites offer new possibilities to make software systems more scalable and reliable. The framework can be used to improve old network visibility platforms. Previously, these systems used to be run in a single node, and used Deep Packet Inspection (DPI) techniques to classify the network flows.
openaire   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Smart IoT applications of multi attack detection using cluster F1MI approach. [PDF]

Sci Rep
Nagavel V, Bhuvaneswari PTV, Ramesh P.
europepmc   +1 more source