Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites by Yu Li, Hongliang Fang, Yao Wang, Sijia Li, Tian Ma, Yunjia Wu, Hao Tang

“…CC is a crucial canopy structural variable and is commonly used in many ecological and climatic models. …”
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Visual analysis of LLM-based entity resolution from scientific papers by Siyu Wu, Yi Yang, Weize Wu, Ruiming Li, Yuyang Zhang, Ge Wang, Huobin Tan, Zipeng Liu, Lei Shi

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A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…In this study, we introduce a two-stream deep learning framework designed to robustly classify coral health, emphasizing interpretability as integral to its applicability. The framework uniquely incorporates two parallel processing streams: one dedicated to analyzing the structural aspects of coral imagery and another focused on capturing color variations, both critical for accurate health assessment. …”
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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

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Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches by Honglei Yao, Andrew Topper

“…It enhances these models with two cutting-edge optimization methods: Crystal Structure Algorithm and Reptile Search Algorithm. …”
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Arab Spring in Linguistic Consciousness of Russian- and English-Speaking Internet Users: Network Frames as Interpreting Tool by Devyatiyarov Dmitriy

“…The research objective was to model and interpret the network frames, their content, and structure in Russian- and English-speaking non-professional political discourses about the Arab Spring. …”
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Explainable AI and Fuzzy Linguistic Interpretation for Enhanced Transparency in Public Procurement: Analyzing EU Tender Awards by Cosmin Cernăzanu-Glăvan, Andrei-Ștefan Bulzan

“…This study introduces an interpretable AI framework to investigate these dynamics, pairing a LightGBM model with SHapley Additive exPlanations (SHAP) to examine the vast Tenders Electronic Daily (TED) database (2018–2023). …”
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General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory by H. Hanafy, S.-Y. Shin, A. M. Eissa, Y. Hany, S. Park, S. Fei, A. Habib

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Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data by Sijian Wu, Yue Liu

“…The model adopts a parallel dual-channel structure to extract spectral and spatial features simultaneously, thus implementing lithology identification in remote sensing images. …”
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Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis by Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro

“…TimeLLM, despite tailored prompting for time-series forecasting, failed to outperform task-specific models, with a test MAE of 2.193, RMSE of 3.473, and sMAPE of 22.89%, highlighting the challenges of adapting foundation models trained on different modalities to structured time-series forecasting. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

“…This analysis effectively explains the decision-making mechanism of the “black box” model and significantly improves the problem of insufficient interpretability that is common in traditional machine learning methods. …”
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An Ontology-Based Framework for Complex Urban Object Recognition through Integrating Visual Features and Interpretable Semantics by Xiao Xie, Xiran Zhou, Jingzhong Li, Weijiang Dai

“…Moreover, interpretability of feature extraction becomes a major disadvantage of the state-of-the-art CNN. …”
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A New Identity: Enhancing Life Skills and Work-Readiness for Those With a Sexual Offending History by Rachel Ogden, Emma Tarpey

“…With a view to understand the impact of such programmes on their rehabilitation and to inform a growing body of research around the approaches needed for promoting rehabilitation within this group. Semi-structured interviews were conducted with four participants about their experiences of accessing a community-based charity and three themes were identified using Interpretive Phenomenological Analysis: “a place to belong without fear or judgement;” “creating an identity away from offending;” and “space and time to realise own potential.” …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

“…The study reviews the advancements in pile integrity testing, from early methodologies to modern approaches, while proposing a unique classification of techniques based on their focus: whether they involve the procedure of pile integrity testing or the interpretation of test findings. The analysis declares substantial advancements in testing methodologies, signal processing, and data interpretation techniques for evaluating the structural integrity of deep foundations. …”
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Digital Property and New Economic Relations by O. N. Grabova, A. E. Suglobov

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Simulation-based analysis of noise reduction and tribological enhancements in slip-modified journal bearings by Budi Setiyana, Mohammad Tauviqirrahman, M. Muchammad, Niko Wijaya

“…The integration of contact mechanics into the modeling framework allows for a more realistic interpretation of how FSI and its mechanical deformation at the fluid-solid interface. …”
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SCS-Net: Stratified Compressive Sensing Network for Large-Scale Crowd Flow Prediction by Xiaoyong Tan, Kaiqi Chen, Min Deng, Baoju Liu, Zhiyuan Zhao, Youjun Tu, Sheng Wu

“…First, we develop a spatially stratified module that posterior adaptively extracts the underlying spatially stratified structure, effectively modeling spatial heterogeneity. …”
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Headdress from Burial 70 of the Mayachny Bugor II Burial Ground without Mounds: analysis, reconstruction, interpretation by Lyudmila E. Maklasova, Dmitry V. Vasiliev

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Utilizing Molecular Descriptor Importance to Enhance Endpoint Predictions by Benjamin Bajželj, Marjana Novič, Viktor Drgan

“…Developing interpretable models for endpoint prediction is valuable as interpretable models may provide valuable insights into the relationship between molecular structure and observed biological or toxicological properties of compounds. …”
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Artificial intelligence in anesthesia and perioperative medicine by Qin Fei, Yufeng Zhang, Chao Liu, Jigen Zheng, Qiang Fu

“…Abstract The rapid development of artificial intelligence (AI) technology, in particular AlphaFold, has greatly improved protein structure prediction and design, reshaped protein biology and expanded research directions in anesthesiology and perioperative medicine. …”
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