Results 231 to 240 of about 84,629 (319)

Deep spectrotemporal network based depression severity estimation from speech. [PDF]

Sci Rep
Jabbar I, Uddin MA, Joolee JB, Nasridinov A.   +3 more
europepmc   +1 more source

Spatiotemporal Manifold Learning: A New Paradigm Beyond Deep Learning

Shuai Ren
openalex   +1 more source

Engineering Tertiary Lymphoid Structures: Nanomedicine, Bioengineering, and Biomaterials for Precision Immunotherapy

Advanced NanoBiomed Research, EarlyView.
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley   +1 more source

Ocean environment prediction methods based on deep learning and spatiotemporal feature fusion. [PDF]

Sci Rep
Zeng B, Wang R, Li H.
europepmc   +1 more source

MEMCAIN: a memory-enhanced hybrid CNN-attention model for network anomaly detection. [PDF]

Sci Rep
Liu L, Cai T, Zhou C, Guo F, Yao K, Zhou J.   +5 more
europepmc   +1 more source

K-M LLM-pro: Physics-guided cross-modal adaptation for fine-grained spatiotemporal trajectory classification. [PDF]

PLoS One
Ge C, Zhang J, Du J, Yao J, Yang T, Wang X, Wang L.   +6 more
europepmc   +1 more source

Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales [PDF]

Ariadna Albors Zumel, Michele Tizzoni, Gian Maria Campedelli   +2 more
openalex   +1 more source

Phase Separation of Nucleic Acids: Mechanisms, Properties, and Applications

Angewandte Chemie International Edition, EarlyView.
Recent discoveries have shown that single‐stranded long‐chain nucleic acids can undergo temperature‐induced phase separation, enabling formation of micrometer‐sized condensates. This Minireview discusses the current mechanistic understanding of this phenomenon, highlights strategies for controlling the physical and chemical properties of these ...
Weixiang Chen, Johann Fritzen, Andreas Walther   +2 more
wiley   +1 more source

Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems. [PDF]

PLoS One
He J, Chen W, Sun J, Zhu L.
europepmc   +1 more source

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley   +1 more source