Bone diagenesis and stratigraphic implications from Pleistocene karst systems by Héctor Del Valle, Alejandro B. Rodríguez-Navarro, Abel Moclán, Paula García-Medrano, Isabel Cáceres

“…These differences enabled the development of classification models to understand deposit formation dynamics and also recontextualize dissociated fossil bones.…”
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Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review by Rongjie He, Wengang Zhang, Jie Dou, Nan Jiang, Huaixian Xiao, Jiawen Zhou

“…The challenges and opportunities of AI applications are also fully discussed to provide suggestions for future research in landslide risk assessment.…”
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The anthropomorphic pursuit of AI-generated journalistic texts: limits to expressing subjectivity by Cristian González-Arias, Cristian González-Arias, Eirini Chatzikoumi, Xosé López-García

“…Many newsrooms around the world are increasingly turning to artificial intelligence (AI) algorithms to generate journalistic content. Often, these machine-generated texts are distributed without being clearly identified as synthetic or hybrid. …”
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RODA-OOD: Robust Domain Adaptation from Out-of-Distribution Data by Jaekyun Jeong, Mangyu Lee, Sunguk Yun, Keejun Han, Jungeun Kim

“…In practice, Out-Of-Distribution (OOD) data which do not share labels with the existing data may also be collected during the target data collection process. …”
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Explainable AI Methods for Underwater Mine Warfare by Guy Junior Richard, Jerome Habonneau, Didier Gueriot, Jean-Marc Le Caillec

“…Artificial intelligence (AI) has brought new algorithms providing high performance compared to the usual methods. …”
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Low-Cost LiDAR Mapping on Bicycles for Urban Road and Sidewalk Detection by T. Bhatia, S. Goel, A. Medury

“…This bicycle-mounted setup is also cost-effective, providing high-resolution data without expensive equipment. …”
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A robust-weighted AMMI modeling approach with generalized weighting schemes by Marcelo B. Fonsêca, Vanda M. Lourenço, Paulo C. Rodrigues

“…We also introduce a comprehensive set of nine weighting schemes for the weighted (W-AMMI), robust (R-AMMI), and RW-AMMI models. …”
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Anchor Dragging Risk Estimation Strategy from Supervised Cost-Sensitive Learning by Sang-Lok Yoo, Shem Otoi Onyango, Joo-Sung Kim, Kwang-Il Kim

“…A combination of data-undersampling methods and cost-sensitive algorithms was used to select the model with the best recall, area under the receiver operating characteristic curve (AUC), and geometric mean (GM) scores. …”
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Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data by Pierfranco Costabile, Carmelina Costanzo, John Kalogiros, Vasilis Bellos

“…Abstract In our era, the rapid increase of parallel programming coupled with high‐performance computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D‐SWE) algorithms for simulating floods at the “hydrological” catchment scale, rather than just at the “hydraulic” fluvial scale. …”
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The artificial intelligence revolution in gastric cancer management: clinical applications by Runze Li, Jingfan Li, Yuman Wang, Xiaoyu Liu, Weichao Xu, Runxue Sun, Binqing Xue, Xinqian Zhang, Yikun Ai, Yanru Du, Jianming Jiang

“…This article comprehensively reviews the latest research status and application of artificial intelligence algorithms in gastric cancer, covering multiple dimensions such as image recognition, pathological analysis, personalized treatment, and prognosis risk assessment. …”
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Physics-Based Data Augmentation Enables Accurate Machine Learning Prediction of Melt Pool Geometry by Siqi Liu, Ruina Li, Jiayi Zhou, Chaoyuan Dai, Jingui Yu, Qiaoxin Zhang

“…This study proposes a hybrid framework that integrates an explicit thermal model with ML algorithms to improve prediction under sparse data conditions. …”
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Comprehensive Review of Robotized Freight Packing by German Pantoja-Benavides, Daniel Giraldo, Ana Montes, Andrea García, Carlos Rodríguez, César Marín, David Álvarez-Martínez

“…<i>Results</i>: Our review reveals a significant trend towards addressing online packing problems, which reflects the dynamic nature of logistics operations where item information is often incomplete. We also identify several research gaps, such as the need for standardized terminologies, comprehensive methodologies, and the consideration of real-world constraints in robotic algorithms. …”
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Discovery, Biological Evaluation and Binding Mode Investigation of Novel Butyrylcholinesterase Inhibitors Through Hybrid Virtual Screening by Lizi Li, Puchen Zhao, Can Yang, Qin Yin, Na Wang, Yan Liu, Yanfang Li

“…This study employed a quantitative structure–activity relationship (QSAR) model based on ECFP4 molecular fingerprints with several machine learning algorithms (XGBoost, RF, SVM, KNN), among which the XGBoost model showed the best performance (AUC = 0.9740). …”
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Separable reversible data hiding by vacating room after encryption using encrypted pixel difference by Veeramuthu Venkatesh, R. Anushiadevi, Padmapriya Velupillai Meikandan, Hemalatha Mahalingam, Rengarajan Amirtharajan

“…As a result, the requirement for information security also grows. In the early stages of data security, cryptography is used. …”
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Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications by Paraskevas Tsangaratos, Ioanna Ilia, Nikolaos Spanoudakis, Georgios Karageorgiou, Maria Perraki

“…Among these, MobileNet V2 demonstrated exceptional performance, achieving the highest accuracy (98.98%) and the lowest loss (0.0202), while Xception and VGG-16 also performed competitively, excelling in feature extraction and detailed analyses, respectively. …”
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Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare by J Omana, P. N Jeipratha, K Devi, S Benila, K Revathi

“…This study intends to improvise the precision and efficiency of drug recommendation systems while also improving patient safety by combining WAEs and early ADR detection strategies. …”
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Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis by Hafiz Farooq Ahmad, Areeba Azhar, Abdulelah Algosaibi, Jamil Hussain

“…This study aims to use content analysis of tweets about COVID-19 vaccines while also examining the user accounts generating them to provide evidence of fluctuations in public views toward COVID-19 vaccines. …”
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The role of hematological parameters as predictors of mortality in elderly patients in the hospital period by L. V. Borisova, S. A. Rukavishnikova, A. S. Pushkin, T. A. Ahmedov, V. V. Yakovlev

“…The development of algorithms for predicting adverse outcomes, including death in elderly and senile patients, is an urgent issue. …”
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Power and efficiency enhancement of solar photovoltaic power plants through grouped string voltage balancing approach by Priya Ranjan Satpathy, Vigna K. Ramachandaramurthy, Thurga R. Radha Krishnan, Saranya Pulenthirarasa, Sanjeevikumar Padmanaban

“…Solar photovoltaic (PV) power plants’ performance is severely impacted by multi-level irradiances or partial shading, leading to power losses and voltage instability. Also, partial shading adds further complexity to the maximum power point tracking algorithms by introducing numerous peaks in the power curves, resulting in additional losses. …”
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General Extensions and Improvements of Algebraic Persistent Fault Analysis by Hanbing Li, Kexin Qiao, Ye Xu, Changhai Ou, An Wang

“…Traditionally, APFA has assumed that fault injection occurs solely within the S-box during the encryption process. Yet, algorithms like PRESENT and AES also utilize S-boxes in the key scheduling phase, sharing the same S-box implementation as encryption. …”
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