Cognitive Decline in Patients With Trigeminal Neuralgia: A Resting‐State fMRI Study by Xueyun Deng, Lihua Liu, Jiafei Chen, Zhi Liu, Hua Feng

“…Increased mean ALFF (mALFF) levels were detected in the right temporal pole, superior temporal gyrus, and right insula in individuals with TN. …”
Get full text

PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
Get full text

An assessment of The Capacity Drops at The Bottleneck Segments: A review on the existing methodologies by Sugiarto Sugiarto, . Lulusi, Sofyan M. Saleh

“…Therefore, this paper carefully summarize on the existing methodologies considering required data, handled data processing and expected output of each proposed of analysis. We further notice that dynamic approach could be more appropriated for analyzing temporal congestion segments (median opening, on street parking, etc.). …”
Get full text

Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 by Ping Liu, Yili Zhao, Wu Zhou, Shishuai Wang

“…The direct comparison assesses bias and root mean square error (RMSE), while ETC analysis estimates the random error of the SST measurement systems and evaluates their ability to detect SST variations. …”
Get full text

Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review by Md Nazmul Kabir Sikder, Yingjie Wang, Feras A. Batarseh

“…The core contribution of this work lies in its comprehensive technical review of the GANs, comparing and evaluating their ability to replicate temporal dynamics and maintain spatio-temporal dependencies within WDSs. …”
Get full text

XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…Following this, EEGNet employs deep convolutional layers to extract spatial features, while separable convolutions are subsequently used to derive high-dimensional spatial-temporal features. Meanwhile, the LSTMSAT Module, with its capability to learn long-term dependencies in time-series signals, is deployed to capture temporal continuity information. …”
Get full text

A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

“…Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while also processing stimulus information through precisely timed spike trains. …”
Get full text

Low-Voltage Biological Electric Shock Fault Diagnosis Based on the Attention Mechanism Fusion Parallel Convolutional Neural Network/Bidirectional Long Short-Term Memory Model by Meijin Lin, Yuliang Luo, Senjie Chen, Zhirong Qiu, Zibin Dai

“…The method first utilizes CNN to extract local spatial features of the electric shock signal and BiLSTM to capture temporal features. An attention mechanism is then introduced to fuse the local spatial and temporal features with weighted emphasis. …”
Get full text

A Comparative Study of Machine Learning Models for Short-Term Load Forecasting by Etna Vianita, Henri Tantyoko

“…Two modeling approaches were explored: one using only time-based features (hour, day of the week, month), and another incorporating historical lag features (lag_1, lag_2, lag_3) to capture temporal patterns. The results showed that MLP with lag features achieved the best performance (RMSE: 57.63, MAE: 34.54, MAPE: 0.22), highlighting its ability to model nonlinear and sequential dependencies. …”
Get full text

Group feature calibration for sound event detection by Yanzhen Ren, Wuyang Liu, Chenyu Liu, Tingting Zhu

“…Abstract Sound Event Detection (SED) is a pivotal task in audio signal processing with widespread applications, requiring the classification and temporal localization of sound events. However, there proves to be a challenge in balancing global features for event classification with local features for temporal localization. …”
Get full text

Smart insole-based abnormal gait identification: Deep sequential networks and feature ablation study by Beomjoon Park, Minhye Kim, Dawoon Jung, Jinwook Kim, Kyung-Ryoul Mun

“…Objective Gait analysis plays a pivotal role in evaluating walking abilities, with recent advancements in digital health stressing the importance of efficient data collection methods. …”
Get full text

Experience sampling method studies in physical activity research: the relevance of causal reasoning by Louise Poppe, Annick L. De Paepe, Benedicte Deforche, Delfien Van Dyck, Tom Loeys, Jelle Van Cauwenberg

“…One key advantage of ESM is its ability to temporally separate the dependent and independent variable of interest, reducing the risk of reverse causality. …”
Get full text

CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Ultimately, high-quality difference images are generated from the extracted bi-temporal features, then use thresholding analysis to obtain a final change map. …”
Get full text

Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions by Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan

“…These results highlight the superiority of iTransformer in track prediction and the efficacy of TVFormer in intensity prediction, thanks to their ability to exploit temporal and variate dependencies, offering potential for TC disaster preparedness systems.…”
Get full text

Evaluating the Dynamic Comprehensive Resilience of Urban Road Network: A Case Study of Rainstorm in Xi’an, China by Yilin Hong, Zhan Zhang, Xinyi Fang, Linjun Lu

“…This reality highlights the importance of understanding resilience—the ability of a system to resist disruptions and quickly recover to operational status after damage. …”
Get full text

Encoding time in neural dynamic regimes with distinct computational tradeoffs. by Shanglin Zhou, Sotiris C Masmanidis, Dean V Buonomano

“…Converging evidence suggests the brain encodes time in dynamic patterns of neural activity, including neural sequences, ramping activity, and complex dynamics. Most temporal tasks, however, require more than just encoding time, and can have distinct computational requirements including the need to exhibit temporal scaling, generalize to novel contexts, or robustness to noise. …”
Get full text

A Cross-Spatial Differential Localization Network for Remote Sensing Change Captioning by Ruijie Wu, Hao Ye, Xiangying Liu, Zhenzhen Li, Chenhao Sun, Jiajia Wu

“…This study provides a promising solution for enhancing interpretability in remote sensing change analysis.…”
Get full text

The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning by Yibin Ma, Pengfei Chen, Mengjie Gong, Yixian Cai, Izzy Yi JIAN

“…However, most existing GVI estimation methods rely heavily on SVI, limiting their ability to support cross-city and seasonal analysis. …”
Get full text

An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection by Sarah Tipper, Hany F. Atlam, Harjinder Singh Lallie

“…This hybrid model enhances the ability to detect deepfakes by combining spatial and temporal analysis. …”
Get full text

Pedestrian Trajectory Prediction via Window Attention and Spatial Graph Interaction Network by Xiang Gu, Chao Li, Jie Yang, Jing Wang, Qiwei Huang

“…Moreover, qualitative analysis reveals the model’s excellent generalization ability in handling different scenarios.…”
Get full text