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Neural Processing Letters

OriginalPaper
Attention-Guided Multi-Clue Mining Network for Person Re-identification
OriginalPaper
Multi-scale Learning for Multimodal Neurophysiological Signals: Gait Pattern Classification as an Example
OriginalPaper
A Robust Zeroing Neural Network Model Activated by the Special Nonlinear Function for Solving Time-Variant Linear System in Predefined-Time
OriginalPaper
TFM: A Triple Fusion Module for Integrating Lexicon Information in Chinese Named Entity Recognition

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Neural Processing Letters OnlineFirst articles

15.08.2022

Dynamic Feedback Tracking Control for Interval Type-2 T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy

This paper explores the tracking control problem for a category of discrete-time nonlinear networked control systems (NCSs) with unknown state, parameter uncertainty, data packet dropout and time delay. Our aim is to construct a dynamic tracking …

15.08.2022

Synchronization of Stochastic Multi-Weights Complex Networks with Lévy Noise and Markovian Switching

This paper focuses on the synchronization issues of stochastic multi-weights complex networks associated with Lévy noise and Markov chains (SMWCNLM). Firstly, a synchronization criterion is obtained for the complex networks without the noisy time …

14.08.2022

Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks

Pest attacks pose a substantial threat to jute production and other significant crop plants. Jute farmers in Bangladesh generally distinguish between different pests that appear to be the same using their eyes and expertise, which isn't always …

13.08.2022

LGADet: Light-weight Anchor-free Multispectral Pedestrian Detection with Mixed Local and Global Attention

Balancing accuracy and efficiency is of significant importance for multispectral pedestrian detection in practical applications. To address these problems, a light-weight anchor-free multispectral pedestrian detection method with mixed Local and …

13.08.2022

A Lightweight Neural Learning Algorithm for Real-Time Facial Feature Tracking System via Split-Attention and Heterogeneous Convolution

Object tracking has made remarkable progress in the past few years. But most advanced trackers are becoming more expensive, which limits their deployment in mobile devices with limited resources. In addition, the current popular tracker realizes …

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Über diese Zeitschrift

The Asia Pacific Journal of Management publishes original manuscripts on management and organizational research in the Asia Pacific region, encompassing Pacific Rim countries and mainland Asia. APJM focuses on the extent to which each manuscript addresses matters that pertain to the most fundamental question: "What determines firm success?" We seek to publish empirical or conceptual research which improves a broad understanding of this issue. APJMendeavors to be the major vehicle for exchange of ideas and research among management scholars within or interested in the broadly defined Asia Pacific region.

Titel: Neural Processing Letters
Abdeckung: Jahrgang 5/1997 - Jahrgang 54/2022
Verlag: Springer US
Elektronische ISSN: 1573-773X
Print ISSN: 1370-4621
Zeitschriften-ID: 11063
DOI: https://doi.org/10.1007/11063.1573-773X