Results 291 to 300 of about 1,087,010 (389)

A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features. [PDF]

BMC Public Health
Luo J, Wang X, Fan X, He Y, Du X, Chen YQ, Zhao Y.   +6 more
europepmc   +1 more source

Deepfake detection: Enhancing performance with spatiotemporal texture and deep learning feature fusion

Abdelwahab Almestekawy, Hala H. Zayed, Ahmed Taha   +2 more
openalex   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time-Frequency Data Fusion. [PDF]

Sensors (Basel)
Duan H, Chen G, Yu Y, Du C, Bao Z, Ma D.
europepmc   +1 more source

Effectiveness of Spatiotemporal Data Fusion in Fine-Scale Land Surface Phenology Monitoring: A Simulation Study

Jiaqi Tian, Xiaolin Zhu, Miaogen Shen, Jin Chen, Ruyin Cao, Yuean Qiu, Yi Nam Xu   +6 more
openalex   +1 more source

Text‐to‐Haptics: Enhancing Multisensory Storytelling through Emotionally Congruent Midair Haptics

Advanced Intelligent Systems, Volume 7, Issue 4, April 2025.
Imagine feeling the pulse of a story in the palm of your hand. This research combines AI‐driven sentiment analysis with mid‐air haptics and immersive audio‐visuals, transforming narrative engagement through touch. A user study involving 40 participants supports the method's effectiveness, showing how mapped haptic cues deepen sensory and emotional ...
Maciej Stroinski, Kamil Kwarciak, Mateusz Kowalewski, Daria Hemmerling, William Frier, Orestis Georgiou   +5 more
wiley   +1 more source

CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold network. [PDF]

Bioinformatics
Pratyush P, Carrier C, Pokharel S, Ismail HD, Chaudhari M, Kc DB.   +5 more
europepmc   +1 more source

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

Advanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion. [PDF]

Biomimetics (Basel)
Ma Y, Huang Z, Yang Y, Chen Z, Dong Q, Zhang S, Li Y.   +6 more
europepmc   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source