Results 31 to 40 of about 8,734,078 (281)

Human behavior recognition algorithm based on deep learning

Dianzi Jishu Yingyong, 2018
In order to improve the problem of low accuracy in human behavior recognition task, a neural network based on batch normalization convolution neural network(CNN) and long short-term memory(LSTM) neural network is proposed.
Huang Youwen, Wan Chaolun
doaj   +1 more source

A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long‐Term Short‐Term Memory

International Journal of Intelligent Systems, 2023
In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air quality monitoring network provides multisource pollutant concentration monitoring data for ozone prediction, but ozone prediction ...
Hao Tang 0004, Uzair Aslam Bhatti, Jingbing Li, Shah Marjan, Mehmood Baryalai, Muhammad Assam, Yazeed Yasin Ghadi, Heba G. Mohamed   +7 more
openaire   +2 more sources

Financial Uncertainty from a Dual Shock at Global Level–Insights from Kuwait

International Journal of Financial Studies, 2022
Global stock markets experienced a dual shock in 2020 due to the impact of the global health crisis, parallel to a simultaneous shock derived from the Saudi Arabia and Russia oil price war. The dual shock fueled oil market volatility with lasting effects
Talal A. N. M. S. Alotaibi, Lucía Morales   +1 more
doaj   +1 more source

Boosting Long-term Memory via Wakeful Rest: Intentional Rehearsal is not Necessary, Automatic Consolidation is Sufficient. [PDF]

, 2014
People perform better on tests of delayed free recall if learning is followed immediately by a short wakeful rest than by a short period of sensory stimulation.
Jessica Alber, Michaela Dewar (552107), Michaela Dewar, Sergio Della Sala (483451), Della Sala Sergio, Sergio Della Sala, Nelson Cowan (644841), Dewar Michaela, Jessica Alber (644840), Dewar, Michaela, Della Sala, Sergio, Alber, Jessica, Nelson Cowan, Dewar, Michaela T; id_orcid, Cowan, Nelson, Cowan Nelson, Alber Jessica   +16 more
core   +1 more source

Estimation and Prediction of Commodity Returns Using Long Memory Volatility Models

Risks
Modelling the volatility of commodity prices and creating more reliable models for estimating and forecasting commodity price returns are crucial.
Kisswell Basira, Lawrence Dhliwayo, Knowledge Chinhamu, Retius Chifurira, Florence Matarise   +4 more
doaj   +1 more source

Cognitive-motor entrainment enhances long-term episodic memory retention

Acta Psychologica
Unlike dual-task outcomes, cognitive-motor entrainment has been shown to enhance attentional functionality and auditory long-term memory retention. The present experiments extend this work by evaluating the effects of cognitive-motor entrainment on ...
Daphne G. Schmid
doaj   +1 more source

Discerning protein pools by selective staining with self‐labeling tags

FEBS Letters, EarlyView.
Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley   +1 more source

M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions

CoRR
This work addresses the challenge of personalized question answering in long-term human-machine interactions: when conversational history spans weeks or months and exceeds the context window, existing personalization mechanisms struggle to continuously absorb and leverage users' incremental concepts, aliases, and preferences.
Junyu Feng, Binxiao Xu, Jiayi Chen, Mengyu Dai, Cenyang Wu, Haodong Li, Bohan Zeng, Yunliu Xie, Hao Liang 0017, Ming Lu 0002, Wentao Zhang 0001   +10 more
openaire   +3 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

A novel framework for cryptocurrency price forecasting: integrating dual attention mechanisms, genetic algorithm feature selection, and Hybrid Adam-PSO optimization

Cogent Engineering
This paper proposes a robust framework for cryptocurrency price forecasting by integrating technical indicators, genetic algorithm based feature selection, and hybrid deep learning models. Technical indicators capture historical patterns, while a genetic
Susrita Mahapatro, Prabhat Kumar Sahu, Asit Kumar Subudhi   +2 more
doaj   +1 more source