Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…The main findings of this study are (1) KAN demonstrated high predictive performance with root mean squared error (RMSE) values ranging from 42.7 to 58.3 m3/s, Nash–Sutcliffe efficiency (NSE) between 0.80 and 0.87, mean absolute error (MAE) between 28.9 to 52.7 and R2 values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model interpretation. (4) The KAN framework results indicate strong temporal alignment and physical realism, confirming KAN’s robustness in capturing seasonal discharge dynamics and extreme flow events under monsoon influence environments. (5) In this study KAN with SHAP (SHapley additive exPlanations) is implemented for hydrological modeling under monsoon-influenced and data-limited regions such as SRB, offering improved accuracy, functional precision and efficiency compared to traditional models. …”
Get full text

Voxelwise distribution of acute ischemic stroke lesions in patients with newly diagnosed atrial fibrillation: Trigger of arrhythmia or only target of embolism? by Timolaos Rizos, Andreas J Bartsch, Timothy D Johnson, Felix Dittgen, Thomas E Nichols, Uwe Malzahn, Roland Veltkamp

“…Lesions were mapped and modeled voxelwise using Bayesian Spatial Generalised Linear Mixed Modeling to determine differences in infarct locations between stroke patients with new AF, without AF and with AF already known before the stroke.…”
Get full text

Lightweight Pepper Disease Detection Based on Improved YOLOv8n by Yuzhu Wu, Junjie Huang, Siji Wang, Yujian Bao, Yizhe Wang, Jia Song, Wenwu Liu

“…However, during its production process, chili peppers are affected by pests and diseases, resulting in significant yield reduction due to the temperature and environment. In this study, a lightweight pepper disease identification method, DD-YOLO, based on the YOLOv8n model, is proposed. …”
Get full text

Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…Six standard databases were utilized, achieving an average accuracy of 90.23% with our proposed model, showcasing a 3–4% average accuracy improvement and a 10% variance reduction. …”
Get full text

Evaluating stream power distribution along river longitudinal profiles using Log S – log A plots by Jui-Tien Tsai, Yen-Yu Chiu, Su-Chin Chen

“…A new two-parameter regression model is proposed, addressing inaccuracies in traditional models and providing a more-precise representation of river profiles. …”
Get full text

Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations by Boya Zhang, Daniel Gann, Shimon Wdowinski, Chaohao Lin, Erin Hestir, Lukas Lamb-Wotton, Khandker S. Ishtiaq, Kaleb Smith, Yuepeng Li

“…We evaluated (1) spatial transfer learning to predict regional CH for both time periods and (2) temporal transfer learning coupled with species-specific error correction models to predict post-Irma CH using models trained by pre-Irma data. …”
Get full text

Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

Get full text

Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude by Andrei Sobo, Awes Mubarak, Almas Baimagambetov, Nikolaos Polatidis

“…This study investigates the effectiveness of Large Language Models (LLMs) in generating code for Human-Robot Interaction (HRI) applications. …”
Get full text

The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

Get full text

Developing a Conceptual Pattern of Creating "Mental Imagination" Relying on Shopping Centers in Tehran (Case Study: Iranmall, 7Center & Saray_e_Delgosha) by Negar Salehi, Zohreh Davoudpour, Maryam Khastou

Get full text

Does regional development explain international youth mobility? by Barbara Staniscia, Federico Benassi

“…We analyze the international migration of Italian citizens aged 15-34 who left the country in the period 2010-2017 using several variables that reflect the varying conditions found in different NUTS 3-level regions in terms of economic dynamism, labor-market efficiency, social fragility, educational underdevelopment and spatial peripherality.Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models show that the international mobility of young Italians is very much dependent on local conditions and affected by spatial differences. …”
Get full text

Effects of habitat configuration on biodiversity along gradients of forest cover on the Swiss Plateau by Yiwen Pan, Anna M. Hersperger, Gang Ge, Michael P. Nobis

Get full text

The Impacts of Micro‐Porosity and Mineralogical Texture on Fractured Rock Alteration by Qian Zhang, Yanhui Dong, Sergi Molins, Hang Deng

“…Considerations of surface roughness with characteristic length on the same order of magnitude as mineral texture did not change the overall development of AL, which further highlights the importance of accounting for rock matrix properties in predicting long‐term evolution of fractured media. The resulting spatial variations of ALs and their impacts on bulk properties, however, are expected to be further complicated by the coupling of chemical and mechanical processes, and may trigger matrix disaggregation, erosion and other mechanisms of fractured media alteration.…”
Get full text

Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

“…This process involves spatial normalization of the images and dimensionality reduction via PCA. …”
Get full text

A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…Although iterative processing can improve the surface accuracy, repeated tool paths tend to deteriorate mid-spatial frequency textures, and for complex surfaces such as aspheres, traditional manual alignment is time-consuming and lacks repeatability, significantly restricting the processing efficiency. …”
Get full text

Synergistic Enhancement of Carbon Sinks and Connectivity: Restoration and Renewal of Ecological Networks in Nanjing, China by Renfei Zhang, Hongye Li, Zhicheng Liu

“…This study used Nanjing, China, as a case to construct an ecological network by applying Morphological Spatial Pattern Analysis (MSPA) and the Linkage Mapper (LM) tool based on circuit theory. …”
Get full text

Land Rental Transactions in Ethiopian Peri-Urban Areas: Sex and Other Factors for Land Rent Transactions by Sayeh Kassaw Agegnehu, Reinfried Mansberger, Moges Wubet Shita, Derjew Fentie Nurie, Ayelech Kidie Mengesha

“…The continuous reduction in peri-urban agricultural land due to spatial urban expansion forces subsistence farmers to seek arable land through different land access strategies. …”
Get full text

Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…This can be captured by machine learning and deep learning methods to stratigraphic segmentation as many people investigated in industry. However, the spatial variability and instability of the peaks and troughs of seismic signals increases the difficulty of applying this technology. …”
Get full text

Neuroprotective effects of MIP-15 peptide from Morchella importuna against ischemic-hypoxic brain damage in rats by Chuan Xiong, Ping Li, Qiang Luo, Chia Wei Phan, Xin Jin, Wenli Huang

“…Subsequently, an oxygen glucose deprivation/reoxygenation (OGD/R) model was established in rat primary hippocampal neurons to explore the mechanism of MIP-15 action. …”
Get full text

Multi‐stage attention network for monaural speech enhancement by Kunpeng Wang, Wenjing Lu, Peng Liu, Juan Yao, Huafeng Li

“…To tackle such a problem, we divide the speech enhancement model into multiple stages, with a special attention mechanism introduced in each stage so that the detailed speech information is retained and the features of high levels are captured. …”
Get full text