Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images by Junyang Xie, Yan Li, Hao Wu, Ziwei Wu, Ruina Zhao, Anqi Lin, Marcos Adami, Guoqiang Li, Jian Zhang

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Spatiotemporal Mapping of Soil Profile Moisture in Oases in Arid Areas by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Li Li, Liya Shi, Yue Liu

“…Traditional monitoring methods are limited in achieving large-scale, real-time observations, while deep learning offers new avenues to model the complex nonlinear relationships between spectral features and soil moisture content. …”
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Exploration of key genes associated with oxidative stress in polycystic ovary syndrome and experimental validation by Qinhua Li, Qinhua Li, Qinhua Li, Lei Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Tingting Zheng, Tingting Zheng, Tingting Zheng, Ningjing Chen, Ningjing Chen, Ningjing Chen, Peiyao Du, Peiyao Du, Peiyao Du, Hong Ye, Hong Ye, Hong Ye

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A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources by N. Sivakumar, Ahmad Raza Khan, Syed Umar, R. N. Ravikumar, I. Bremnavas, Munindra Lunagaria, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma

“…Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. …”
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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

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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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Adaptive Token Mixer for Hyperspectral Image Classification by Shuhan Lei, Meng Zhang, Yuhang Wang, Nan Tang, Ni Jia, Lihua Fu

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Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON by Ming-Yi Chen, Hwa Chien, Hwa Chien, Wen-Hao Yeh, Li-Ching Lin, Yu-Fu Liou

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A Two-Stage Bayesian Receiver for Massive Grant-Free OFDM-NOMA With Interfering Pilot Symbols by Fakher Sagheer, Frederic Lehmann, Antoine O. Berthet

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GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images by Ke Chen, Yang Wang, Cunrui Huang, Jing Wang, Sabrina L. Li, Haiyan Guan, Lingfei Ma

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Tree species classification using intensity patterns from individual tree point clouds by Andreas Tockner, Ralf Kraßnitzer, Christoph Gollob, Sarah Witzmann, Tim Ritter, Arne Nothdurft

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Understanding dual process cognition via the minimum description length principle. by Ted Moskovitz, Kevin J Miller, Maneesh Sahani, Matthew M Botvinick

“…We apply a single model based on this observation to findings from research on executive control, reward-based learning, and judgment and decision making, showing that seemingly diverse dual-process phenomena can be understood as domain-specific consequences of a single underlying set of computational principles.…”
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Stimulus uncertainty and relative reward rates determine adaptive responding in perceptual decision-making. by Luis de la Cuesta-Ferrer, Christina Koß, Sarah Starosta, Nils Kasties, Daniel Lengersdorf, Frank Jäkel, Maik C Stüttgen

“…To that end, we first specified three SDT-based models that learn either from reward, reward omission, or both. …”
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Policy agendas of the American state legislatures by Ethan Dee, Alex Garlick

“…We use a machine learning model based on the “transformer” architecture and contextual word-piece embeddings to code the universe of bills introduced in the states since 2009 (about 1.36 million bills) into 28 policy areas. …”
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Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect Estimation by Roger Pros, Jordi Vitria

“…In this paper, we explore and categorize several of these models based on the biases they address, and we introduce the prevention of spurious variable interactions as a new inductive bias that serves as a central focus of our study. …”
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Dispatch of decentralized energy systems using artificial neural networks: A comparative analysis with emphasis on training methods by Lukas Koenemann, Astrid Bensmann, Johannes Gerster, Richard Hanke-Rauschenbach

“…In method II, the energy system model is simulated during the training to compute the observation state and operating costs resulting from the ANN-based dispatch. …”
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Statistical signature of subtle behavioral changes in large-scale assays. by Alexandre Blanc, François Laurent, Alex Barbier-Chebbah, Hugues Van Assel, Benjamin T Cocanougher, Benjamin M W Jones, Peter Hague, Marta Zlatic, Rayan Chikhi, Christian L Vestergaard, Tihana Jovanic, Jean-Baptiste Masson, Chloé Barré

“…We here introduce several statistically robust methods for analyzing behavioral data in response to these challenges: 1) A generative physical model that regularizes the inference of larval shapes across the entire dataset. 2) An unsupervised kernel-based method for statistical testing in learned behavioral spaces aimed at detecting subtle deviations in behavior. 3) A generative model for larval behavioral sequences, providing a benchmark for identifying higher-order behavioral changes. 4) A comprehensive analysis technique using suffix trees to categorize genetic lines into clusters based on common action sequences. …”
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A novel nomogram for survival prediction in renal cell carcinoma patients with brain metastases: an analysis of the SEER database by Fei Wang, Xihao Wang, Zhigang Feng, Jun Li, Hailiang Xu, Hengming Lu, Lianqu Wang, Zhihui Li

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Reverberation Mapping of Lamppost and Wind Structures in Accretion Thin Disks by James Hung-Hsu Chan, Joshua Fagin, Henry Best, Matthew J. O’Dowd

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Simulation and video feedback as catalysts linguistic skill development in psychology education by Roberta Diamanti, María Laura Angelini

“…Quantitative data were collected through a validated Likert-scale questionnaire and analyzed using Gaussian Graphical Models (GGM) to examine evolving relationships among professional experience, language proficiency, teamwork, motivation, and perceived utility of video-based feedback. …”
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