AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery by H. Hendrickx, H. Hendrickx, M. Elias, X. Blanch, X. Blanch, R. Delaloye, A. Eltner

“…Specifically, we employed the Persistent Independent Particle tracker (PIPs<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mo>+</mo><mo>)</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="21pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="0fb12ca3541580bd383f89224af1f329"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="esurf-13-705-2025-ie00001.svg" width="21pt" height="12pt" src="esurf-13-705-2025-ie00001.png"/></svg:svg></span></span> model for 2D image point tracking and the image-to-geometry registration to transfer the measured 2D image points into 3D object space and further into velocity data. For the latter, we use an in-house tool called GIRAFFE, which employs the AI-based LightGlue matching algorithm. …”
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A New Comprehensive Model to Simulate and Optimize Fluid Flow in Complex Well‐Formation System for In Situ Leaching Uranium by Zhaokun Li, Xuebin Su, Yangquan Jiao, Yu Zhang, Yang Qiu, Xiaodong Hu

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KT-Deblur: Kolmogorov–Arnold and Transformer Networks for Remote Sensing Image Deblurring by Baoyu Zhu, Zekun Li, Qunbo Lv, Zheng Tan, Kai Zhang

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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study compares the applicability, advantages, and limitations of different reinforcement learning algorithms in practical scenarios, and reveals core challenges such as state space complexity, learning stability, and computational efficiency. …”
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A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

“…Metaheuristic optimization algorithms combine fundamental heuristic concepts with approximation approaches to effectively explore and utilize research space. …”
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Discursive Strategies of Indirect Apology in English-Language Personal Communication by E. Yu. Ilyinova, O. S. Volkova, V. A. Litvinova

“…The research is carried out on the material of modern British writers’ original texts (R. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

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Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes by A. C. Talucci, M. M. Loranty, J. E. Holloway, B. M. Rogers, H. D. Alexander, N. Baillargeon, J. L. Baltzer, L. T. Berner, A. Breen, L. Brodt, B. Buma, B. Buma, J. Dean, C. J. F. Delcourt, L. R. Diaz, C. M. Dieleman, T. A. Douglas, G. V. Frost, B. V. Gaglioti, R. E. Hewitt, T. Hollingsworth, T. Hollingsworth, M. T. Jorgenson, M. J. Lara, R. A. Loehman, M. C. Mack, K. L. Manies, C. Minions, S. M. Natali, J. A. O'Donnell, D. Olefeldt, A. K. Paulson, A. V. Rocha, L. B. Saperstein, T. A. Shestakova, T. A. Shestakova, T. A. Shestakova, S. Sistla, O. Sizov, A. Soromotin, M. R. Turetsky, S. Veraverbeke, M. A. Walvoord

“…This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. …”
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Advances in impact force identification: A comprehensive review of techniques and mathematical innovations by Hamed Kalhori, Shabnam Tashakori, Ben Halkon, Mehrisadat Makki Alamdari, Bing Li, Morteza Saberi

“…A systematic taxonomy is established to evaluate impact force reconstruction techniques, including deconvolution, subspace state-space formulations, and data-driven models, as well as localization strategies, such as triangulation, similarity-based matching, and optimization-based algorithms. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…It captures global context information and long range dependencies between feature vectors through forward and backward processing with the State Space Model (SSM). This helps in extracting the contextual information around occluded pedestrians and inferring the complete pedestrian features based on visible ones. …”
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Eliminating geometric distortion with dual-orbit Sentinel-1 SAR fusion for accurate glacial lake extraction in Southeast Tibet Plateau by Renzhe Wu, Guoxiang Liu, Xin Bao, Jichao Lv, Age Shama, Bo Zhang, Wenfei Mao, Jie Chen, Zhihan Yang, Rui Zhang

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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…This review is useful for establishing a common practice in TB analysis using human lung tissue as well as identifying opportunities for further research in this space. The review brings attention to the state-of-art techniques for detecting TB, with emphasis on the challenges and limitations of the current techniques. …”
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Linking online activity to offline behavior: A meta-review of three decades of online-to-offline scholarship with future implications for AI by Scott Leo Renshaw, Kathleen M. Carley

“…This review article provides the first comprehensive examination of the current state of knowledge, across disciplinary divides, on how online influences impact offline behaviors, laying the necessary groundwork for investigating and researching the potential impact that these new technologies will have on our “offline” lives. …”
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A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem by Samet Memiş, Serdar Enginoğlu

“…Besides, we compare the proposed two methods’ performance ranking with that of eight state-of-art soft decision-making methods. Finally, we provide the conclusive remarks and some suggestions for further research.…”
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A systematic review of ulcer detection methods in wireless capsule endoscopy by Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Md Sohag Hossain, Md Jakir Hossen, Tonmoy Ghosh

“…The contributions of this paper are two-fold: I) it reports and summarizes the current state-of-the-art ulcer detection algorithms; and II) it finds the most appropriate and preferable method in terms of color space, region of interest selection, feature extraction, and classifier. …”
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Multi-Fingerprints Indoor Localization for Variable Spatial Environments: A Naive Bayesian Approach by Chengjie Hou, Zhizhong Zhang

“…This method is based on the online stage fingerprints. The corresponding state space is selected using the naive Bayes classifier, enabling the selection of an appropriate fingerprint database for matching. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Traditional mathematical optimization algorithms tend to encounter issues like slow computational speed and difficulties in solving large-scale models, while heuristic algorithms are prone to fall into local optima. …”
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Intelligent Robot in Unknown Environments: Walk Path Using Q-Learning and Deep Q-Learning by Mouna El Wafi, My Abdelkader Youssefi, Rachid Dakir, Mohamed Bakir

“…Additionally, Deep Q-learning exhibits superior performance in complex environments, showcasing enhanced decision-making capabilities in high-dimensional state spaces. These findings highlight the advantages of reinforcement learning-based navigation and emphasize how adaptive exploration strategies and dynamic parameter adjustments enhance performance across diverse scenarios.…”
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Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning by Hassan Moin, Umer Hameed Shah, Muhammad Jawad Khan, Hasan Sajid

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Optimization of Adaptive Observation Strategies for Multi-AUVs in Complex Marine Environments Using Deep Reinforcement Learning by Jingjing Zhang, Weidong Zhou, Xiong Deng, Shuo Yang, Chunwang Yang, Hongliang Yin

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