HCAFNet: Hierarchical Cross-Modal Attention Fusion Network for HSI and LiDAR Joint Classification by Jiajia Bai, Na Chen, Jiangtao Peng, Lanxin Wu, Weiwei Sun, Zhijing Ye

“…To further enhance the network's feature representation capability, a triplet rotational multihead attention module is designed to capture cross-dimensional dependencies, enabling more effective representation of both channel and spatial information. Experimental results conducted on three public datasets demonstrate that the proposed HCAFNet outperforms other advanced methods.…”
Get full text

Mythe et réalités du quartier-village des travailleurs créatifs à Berriat (Grenoble) by Basile Michel

“…These investigations show that the creative workers of Berriat give shape to the village figure through their practices and representations while articulating it with larger spatial scales. These workers anchor part of their daily practices in the quarter. …”
Get full text

A compact finite difference scheme for solving fractional Black-Scholes option pricing model by Yuelong Feng, Xindong Zhang, Yan Chen, Leilei Wei

“…In the numerical scheme, we have developed a convergence rate of O ( τ 2 + h 4 ) $O(\tau ^{2} + h^{4})$ , where τ denotes the temporal step and h represents the spatial step. To verify the effectiveness of the proposed method, we have conducted stability analysis and error estimation using the Fourier method. …”
Get full text

An Analytical Study on Dynamic Response of Multiple Simply Supported Beam System Subjected to Moving Loads by Zhipeng Lai, Lizhong Jiang, Wangbao Zhou

“…Next, by conducting the corresponding inverse transforms on the displacement frequency-domain responses of multiple simply supported beams, the spatial displacement time-domain responses were obtained. …”
Get full text

The Role of Solid Fuel Production in the Concentration of Brick Manufacturing Industries in Ouled Settout, Nador Province (NE Morocco) by El Monhim Bilal, Hlal Mohammed, Arabi Mourad, Mechkirrou Latifa, Elouassidi Abdelhafid, Sbai Abdelkader, Makkaoui Mohamed, Benrbia Khadija

“…This expansion has contributed to a spatial concentration of 19 red brick manufacturing units and two cement plants within the surrounding area. …”
Get full text

Evidence of Fine‐Scale Genetic Structure in Tiger Sharks (Galeocerdo cuvier) Highlights the Importance of Stratified Sampling Regimes by Jessica J. Fish, Christine Dudgeon, Adam Barnett, Paul A. Butcher, Bonnie J. Holmes, Charlie Huveneers, Lauren Meyer, Laurent Vigliola, Craig D. H. Sherman, Adam D. Miller

“…Yet, this can be challenging in some study systems, particularly in large marine species such as sharks, where genetic studies often rely on opportunistic and/or sampling conducted over large spatial scales. We demonstrate the importance of stratified sampling to identify previously undetected genetic structure in tiger sharks (Galeocerdo cuvier) off eastern Australia, where panmixia has been previously reported. …”
Get full text

STFNet: A Spatiotemporal Fusion Network for Forest Change Detection Using Multi-Source Satellite Images by Yingjiao Tan, Kaimin Sun, Jinjiang Wei, Song Gao, Wei Cui, Yu Duan, Junyi Liu, Wanghui Zhou

“…To validate our method, we conduct experiments using Gaofen and Sentinel-2 satellite images. …”
Get full text

Empowering China’s sustainable development through social-ecological networks by Wuyang Hong, Yelin Li, Renzhong Guo, Bin Chen, Wenjia Zhang, Feixue Li, Shuwen Yang, Yuke Liu, Yingmei Zhao, Yurui Li, Shengbiao Wu, Biao He

“…However, the current planning evaluation research usually focuses on the interior of the city, and lacks the evaluation of the planning convergence between different cities the integrity of this coupling deployment across different cities remains unclear. We conducted a systematic evaluation of China’s territorial spatial planning documents (encompassing 2715 county-level administrative units), constructing inter-urban socio-ecological networks by employing cities and districts as nodal units, with development-oriented partnerships and conservation-focused alliances explicitly stipulated in planning policies serving as social and ecological edges respectively. …”
Get full text

SPOCK1 promotes the progression of breast cancer by modulating cancer-associated fibroblasts and exerts a synergistic effect with ANXA2 by Yuan Jie, Xin Fei, Meng Fan

“…Multiplex immunohistochemistry (mIHC) was performed to validate the spatial distribution of SPOCK1+ cancer-associated fibroblasts (CAFs) within the tumor microenvironment. …”
Get full text

DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…Remote sensing image spatiotemporal fusion (STF) aims to generate composite images with high-temporal and spatial resolutions by combining remote sensing images captured at different times and with different spatial resolutions (DTDS). …”
Get full text

GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images by Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Ahmed A. Moustafa

“…In order to make the model anatomy-aware, the square-shaped input patches of the transformer are transformed into horizontal and vertical strips to obtain distinctive spatial relationships within gallbladder tissues. …”
Get full text

Prediction Method of Tangerine Peel Drying Moisture Ratio Based on KAN-BiLSTM and Multimodal Feature Fusion by Qi Ren, Jiandong Fang, Yudong Zhao

“…A pre-trained visual geometry group U-shaped network (VGG-UNet) is employed to segment tangerine peel images and extract color, contour, and texture features, while airflow distribution is simulated using finite element analysis (FEA) to obtain spatial location information. These multimodal features are fused and input into a KAN-BiLSTM model, where the KAN layer enhances nonlinear feature representation and a multi-head attention (MHA) mechanism highlights critical temporal and spatial features to improve prediction accuracy. …”
Get full text

THE PRINCIPLE OF CONCEPTUALITY IN PROJECTS OF ADAPTATION AND ADJUSTMENT TO CONTEMPORARY NEEDS OF REVITALIZED HISTORICAL HERITAGE SITES by Romana Vasylivna Kiuntsli, Andriy Volodymyrovych Stepanyuk, Iryna Vasylivna Besaha

“…Second, a comparative analysis was conducted on the typological features of historical buildings, structures, and complexes. …”
Get full text

The Sero-epidemiology of Coxiella burnetii in Humans and Cattle, Western Kenya: Evidence from a Cross-Sectional Study. by Nicola A Wardrop, Lian F Thomas, Elizabeth A J Cook, William A de Glanville, Peter M Atkinson, Claire N Wamae, Eric M Fèvre

“…A cross-sectional survey was conducted: serum samples from 2049 humans and 955 cattle in 416 homesteads were analysed for C. burnetii antibodies. …”
Get full text

Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Recent advancements in this field have largely focused on spatial feature extraction, which alone proves inadequate for thorough group activity analysis. …”
Get full text

Toward Hand Gesture Recognition Using a Channel-Wise Cumulative Spike Train Image-Driven Model by Yang Yu, Zeyu Zhou, Yang Xu, Chen Chen, Weichao Guo, Xinjun Sheng

“…Specifically, the cw-CSTs of motor units were decomposed from high-density surface electromyography using a spatial spike detection algorithm and were further reconstructed into images according to their spatial recording positions. …”
Get full text

The GAN Spatiotemporal Fusion Model Based on Multiscale Convolution and Attention Mechanism for Remote Sensing Images by Youping Xie, Jun Hu, Kang He, Li Cao, Kaijun Yang, Luo Chen

“…High spatial and temporal resolution remote sensing images are essential for monitoring vegetation, natural disasters, and changes in the ground surface. …”
Get full text

Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

“…Multi-source data fusion is employed to link spatial coordinates and create a dataset for further analysis. …”
Get full text

MMRAD-Net: A Multi-Scale Model for Precise Building Extraction from High-Resolution Remote Sensing Imagery with DSM Integration by Yu Gao, Huiming Chai, Xiaolei Lv

Get full text

Epidemiological trends and patterns of gastric cancer in the Kashmir Valley, India by Shaista Mushtaq, Nisar Ahmad Syed, G.M. Rather, Shahid Saleem, Athar Yousuf Rather, Shaheena Parveen

“…Hotspot analysis was conducted to identify high-risk areas, while clustering techniques were applied to detect spatial patterns in disease distribution. …”
Get full text