Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment by Ali Taheri, Nima Azimi, Daniel V. Oliveira, Joaquim Tinoco, Paulo B. Lourenço

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Stable developmental patterns of gene expression without morphogen gradients. by Maciej Majka, Nils B Becker, Pieter Rein Ten Wolde, Marcin Zagorski, Thomas R Sokolowski

“…Here we combine spatial-stochastic simulations with an enhanced sampling method (Non-Stationary Forward Flux Sampling) and a recently developed stability theory to address how spatiotemporal integrity of a gene expression pattern is maintained in developing tissue lacking morphogen gradients. …”
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Spatial Gradient Effects of Landscape Pattern on Ecological Quality Along the Grand Canal by Yonggeng Xiong, Aibo Jin

“…The framework integrates the Remote Sensing Ecological Index (RSEI) with landscape pattern indices to assess ecological responses across spatial gradients. …”
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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

“…The proposed solution thus offers a robust interpretability platform for concrete strength prediction and further shows great promise for optimization in material design and structural integrity assurances. This work serves as a landmark in bridging the gap between hybrid modeling with automated optimization and explainability for concrete strength predictions.…”
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Fusing Gradient, Intensity Accumulation, and Region Contrast for Robust Infrared Dim-Small Target Detection by Liqi Liu, Rongguo Zhang, Xinyue Ni, Liyuan Li, Xiaofeng Su, Fansheng Chen

“…To address these limitations, we propose a novel framework called Spatial–Temporal Fusion Detection (STFD), which synergistically integrates three original components: gradient-enhanced spatial contrast, adaptive temporal intensity accumulation, and temporal regional contrast. …”
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Size Variation in Flower Petals of Chinese Animal‐Pollinated Plants in Response to Climatic and Altitudinal Gradients by Siyu Chen, Jiayi Lu, Yuran Dong, Yao Li, Lingfeng Mao

“…While previous studies have emphasized pollinator‐driven selection on petal traits, significant gaps remain in understanding how abiotic factors, biotic interactions, and life‐history trade‐offs jointly shape petal size across broad environmental gradients. …”
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Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi

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Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost by Thanapong Champahom, Chinnakrit Banyong, Thananya Janhuaton, Chamroeun Se, Fareeda Watcharamaisakul, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

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Advanced grad-CAM extensions for interpretable aphasia speech keyword classification: Bridging the gap in impaired speech with XAI by Gowri Prasood Usha, John Sahaya Rani Alex

“…To address this gap, we introduce a set of extension studies of enhanced Grad-CAM techniques, namely Enhanced Directional Grad-CAM (ED-GCAM), Multi-Scale Channel-wise Grad-CAM (MSCW-GCAM), Stochastic Gradient-Dropout Integrated Grad-CAM (SGD-GCAM), and Enhanced Hierarchical Filtered Grad-CAM (EH-FCAM) to improve interpretability and performance in aphasia speech keyword classification. …”
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Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province by Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang

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The Impact of Environmental Risk on Business Failure: A Fuzzy-Set Qualitative Comparative Analysis Approach with Extreme Gradient Boosting Feature Selection by Mariano Romero Martínez, Pedro Carmona Ibáñez, José Pozuelo Campillo

“…By investigating the relationship between environmental financial exposure and business failure, this study addresses this gap, integrating financial ratios and environmental variables to understand how environmental performance affects financial viability. …”
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Analysis of Fire Resistance Performance of Double Swing Fire Doors Using Thermo-Mechanical Model Depending on Gap Size by Bohyuk Lim, Bongki Bae, Mingyu Jang, Heedu Lee, Changjun Lee, Minkoo Kim, Changyong Yi

“…Excessive deformation may further compromise the structural integrity of the door. This study presents a thermo-mechanical model that idealizes the bending behavior of double swing fire doors based on the deflection equation of a simply supported beam subjected to a thermal gradient between the tensile and compressive sides. …”
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Spatial heterogeneity of cultural ecosystem services in grand canal rural heritage sites: A community gradient framework using participatory mapping by Xin Jiang, Xi Chen, Qinghai Zhang, Yutao Li, Mingrui Wang, Yongjun Li, Xing Xiong, Xiaoning Wu, Xin Li, Yujia Zhong, Yong Lu

“…To address this gap, this study proposes a multidimensional framework that integrates participatory mapping, semi-structured interviews, and mixed spatial analytical techniques for analyzing rural CES distribution patterns and their associations with landscape features across community gradients. …”
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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…Our research utilized an enhanced combination of machine learning models, including random forest, gradient boosting, XGBoost, extra trees, and advanced ensemble methods like stacking regressors. …”
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Analysis of the Distribution Pattern and Trait Determinants of Avian Diversity at Mid-Altitude in the Gyirong Valley by Huaiming Jin, Shuqing Zhao, Yongbing Yang, Gang Song, Shengling Zhou, Shuaishuai Huang, Le Yang, Yonghong Zhou

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Estimating PM_2.5 Exposures and Cardiovascular Disease Risks in the Yangtze River Delta Region Using a Spatiotemporal Convolutional Approach to Fill Gaps in Satellite Dat... by Muhammad Jawad Hussain, Myeongsu Seong, Behjat Shahid, Heming Bai

“…Four machine-learning models (random forest, extreme gradient boosting, gradient boosting, and support vector regression) were used to estimate hourly PM_2.5 concentrations by integrating gap-filled and original TOAR and AOD data with meteorological variables. …”
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Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning by Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad

“…This research contributes to bridging the gap between experimental optimization and intelligent process automation in advanced laser-based manufacturing.…”
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Trans-scale interphase engineering for enhanced interfacial reinforcement between ‘rigid’ HMX crystals and ‘soft’ binders by Jie Li, Chunbo Shi, Shiliang Huang, Shichun Li, Jinjiang Xu, Shaohua Jin, Yu Liu

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Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China by Wang Kai, Liu Meilun, Tan Jiaxin, Gan Chang

“…Spatially, it showed a decreasing gradient from east to west, but the gap between the interprovincial urban-rural integration level gradually narrowed, with obvious spatial non-equilibrium. 2) China's urban-rural integration spatial association network became increasingly dense, complex, and close, and the main linkage flows of urban-rural integration occurred between geographically neighboring provinces and cities, such as Shanghai-Jiangsu, Shanghai-Zhejiang, and Beijing-Tianjin. …”
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Evaluating ensemble models for fair and interpretable prediction in higher education using multimodal data by Felipe Emiliano Arévalo-Cordovilla, Marta Peña

“…This study, which involved 2,225 engineering students at a public university in Ecuador, addressed these gaps. The objective was to develop a robust predictive framework by integrating Moodle interactions, academic history, and demographic data using SMOTE for class balancing. …”
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