🚀 Great news!

The International Journal of Network Dynamics and Intelligence (IJNDI) is now officially indexed in DOAJ! 🌐

✍️ We welcome global submissions. Join our growing community of researchers!
🔗 www.sciltp.com/journals/ijndi

#DOAJ #OpenAccess #NetworkScience #AI #AcademicChatter #IJNDI

This paper studies least-squares linear estimation for multirate systems with stochastic parameters under DoS attacks, proposing compensation-based filtering and smoothing algorithms validated by simulations.
#IJNDI #DoS #filtering #estimation #TIA2025
www.sciltp.com/journals/ijn...

This paper investigates prompt injections in large language models, outlining impacts and proposing detection via banned terms, similarity search, and BERT-based models to enhance application security.
#IJNDI #security #privacy #LLMs #AI
www.sciltp.com/journals/ijn...

This paper addresses distributed recursive filtering for state-saturated systems in networked environments, incorporating output masking and quantization to ensure bounded error covariance.
#IJNDI #filtering #privacy #quantization #TIA2025
www.sciltp.com/journals/ijn...

This article focuses on examining the sampled-data based containment control (CC) issue for nonlinear multiagent systems (MASs) with dynamic leaders and input saturation.
#IJNDI #multiagent #MASs #ControlSystems #sampling
www.sciltp.com/journals/ijn...

This study develops an unscented Kalman filtering algorithm for nonlinear systems with stochastic nonlinearities under the FlexRay protocol, and demonstrates its effectiveness in accurate state estimation through simulations.
#IJNDI #filtering #Kalman #nonlinearities
www.sciltp.com/journals/ijn...

This paper proposes a multi-task model based on temporal convolutional network (TCN) and progressive layered extraction (PLE) network.
#IJNDI #TCN #PLE #machining #reliability
www.sciltp.com/journals/ijn...

🎉 Exciting news! The International Journal of Network Dynamics and Intelligence (IJNDI) is now indexed in the Web of Science™ (ESCI)!

🔗 www.sciltp.com/journals/ijndi

Thank you to our contributors and supporters!

#IJNDI #WebOfScience #ESCI #Research #AI #NetworkDynamics

This study proposes a monocular vision-based measurement model, theoretically proving the solvability of object distance and height estimation using geometric constraints and multi-view inference.
#IJNDI #MonocularVision #SelfInvariance #SelfChange
www.sciltp.com/journals/ijn...

This study proposes a Hybrid Dilated Grouping Network to enhance real-time semantic segmentation by leveraging factorized convolution, dilated convolution, and a channel attention mechanism.
#IJNDI #RealTimeSemanticSegmentation #HDGNet #FactorizationConvolution
www.sciltp.com/journals/ijn...

The paper proposes a distributed privacy-preserving filter based on the maximum correlation criteria for microgrids.
#IJNDI #DistributedEntropyFiltering #microgrids #privacy
www.sciltp.com/journals/ijn...

This paper is concerned with the linear minimum mean square error estimation (LMMSE) for the multi-rate sampling systems with multi-channel observation delays and unknown Markovian packet losses.
#IJNDI #LinearEstimation #MarkovPacketLosses
www.sciltp.com/journals/ijn...

This study proposes a Hybrid Dilated Grouping Network that enhances both accuracy and speed in real-time semantic segmentation by integrating factorized convolutions, dilated convolutions, and channel attention mechanisms.
#IJNDI #RealTimeSemanticSegmentation
www.sciltp.com/journals/ijn...

This study proposes a monocular vision-based localization method, establishing a geometric model to achieve object tracking and distance measurement without increasing data processing load.
#IJNDI #MonocularVision #SelfInvariance #SelfChange
www.sciltp.com/journals/ijn...

🎉 Congrats to the International Journal of Network Dynamics and Intelligence (IJNDI) on being indexed in Scopus!
👏 Congrats to Prof. Zidong Wang (Brunel University London) for his leadership.

🔗 www.sciltp.com/journals/ijn...

#IJNDI #Scopus #BrunelUniversity #AcademicPublishing #NetworkDynamics

The article developed an adaptive neural event-triggered control scheme for uncertain discrete-time nonlinear systems, optimizing performance and reducing network load.
www.sciltp.com/journals/ijn...
#IJNDI #OptimalControl #ET #NeuralNetworks
#Networkresources

The article introduced an innovative video summarization technique using a U-shaped non-local network structure to capture key video information in videos, generating a concise and representative video summary.
www.sciltp.com/journals/ijn...

#IJNDI #videosummarization #network #U-shaped