Classification of mountain-based rail transit stations and analysis of passenger flow influencing mechanisms. by Qingru Zou, Yue Xia, Xinchen Ran, Xueli Guo, Jiaxiao Feng

“…To investigate how these features affect passenger flow variations at rail stations, we analyze geographic-environmental data surrounding the stations and integrate road network topology, automatic fare collection data, and point-of-interest (POI) data. …”
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Reimagining heritage villages’ sustainability: machine learning-driven human settlement suitability in Hunan by Qikang Zhong, Liang Xie, Jiade Wu

“…However, rapid urbanization poses significant threats to their population stability and cultural integrity, creating challenges for both preservation and development. …”
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Structure Optimization of Mixed-Speed Train Traffic for Cyclic Timetable: Model and Algorithm Development by Jiamin Zhang, Jiarui Zhang

“…Trains can be optimally spread over the period of the cyclic timetable. By integrating sequencing issue with headway time together, this paper studies the structure optimization of mixed-speed train traffic for a cyclic timetable. …”
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Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network by Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen

“…The core strategy of our method involves a late fusion architecture that seamlessly integrates multi-source remote sensing (RS) data, including optical imagery, synthetic aperture radar (SAR), airborne laser scanning (ALS), and multi-source national forest inventory (MS-NFI) datasets. …”
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Comparative genetic mapping and a consensus interspecific genetic map reveal strong synteny and collinearity within the Citrus genus by Patrick Ollitrault, Patrick Ollitrault, Barbara Hufnagel, Barbara Hufnagel, Franck Curk, Aude Perdereau, Pierre Mournet, Pierre Mournet, Maëva Miranda, Maëva Miranda, Gilles Costantino, Yann Froelicher, Yann Froelicher, Mônica Alves, Maria Angeles Forner Giner, Malcolm W. Smith, Pablo Aleza, François Luro, Nelson A. Wulff, Leandro Peña, Raphaël Morillon, Raphaël Morillon, Arnaud Lemainque

“…The consensus genetic map is a useful tool to check the accuracy of genome assemblies, identify large structural variation and focus on analyzing potential relationships with phenotypic variations. …”
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Quantified mass loss of the Laohugou ice core and its precipitation signal during 1961–2005 at high elevation in the northeastern Tibetan Plateau by Wentao Du, Shichang Kang, Jizu Chen, Weijun Sun, Xiang Qin, Zhenming Ji, Wenxuan Sun, Yanan Qiu

“…This work established a method for quantitative assessment of the temporal variation in ice core mass loss, and advanced the reconstruction of long-term precipitation at high elevations. …”
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Analysis of the Impact of Speed Trajectory Optimization on Energy Consumption During Highway Merging by Liyue Yang, Dohyun Park, Shaowen Lyu, Tacksu Kim, Namwook Kim

“…In this study, we address the problem of integrating the vehicle powertrain characteristics and speed optimization of merging control. …”
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A Machine Learning-Based Real-Time Remaining Useful Life Estimation and Fair Pricing Strategy for Electric Vehicle Battery Swapping Stations by Seyit Alperen Celtek, Seda Kul, A. Ozgur Polat, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…However, ensuring fairness in battery pricing remains a significant challenge since variations in battery health and performance among swapped batteries can result in user dissatisfaction and operational inefficiencies. …”
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High-performance ratiometric optical oxygen sensor fabricated via 3Dprinted silicone for biomedical applications by Rispandi, Cheng-Shane Chu, Abdulfatah Abdu Yusuf, Muhammad Imam Ammarullah

“…This research introduces an innovative fabrication method using silicone-based 3D printing technology to develop such sensors. …”
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Vehicle–Bridge Coupling of Road–Rail Dual-Use Network Arch Bridge Based on a Noniterative Approach: Parametric Analysis and Case Study by Haocheng Chang, Rujin Ma, Baixue Ge, Qiuying Zhu

“…Poorer road conditions amplify these dynamic effects, leading to increased stress variations. These insights underscore the necessity of integrating considerations for both road and rail traffic in the structural analysis and design of network arch bridges to ensure their reliability and serviceability.…”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…This method conceptualizes controllers as autonomous entities capable of making independent decisions. …”
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Enhanced Cloud Detection Using a Unified Multimodal Data Fusion Approach in Remote Images by Yan Mo, Puhui Chen, Wanting Zhou, Wei Chen

“…The core innovation of M2Cloud lies in its novel multimodal data fusion method. This method avoids architectural changes for new modalities, thereby significantly reducing incremental computing costs and enhancing overall efficiency. …”
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GeoAT: Geometry-Aware Attention Feature Matching Network by Yan Li, Yingdan Wu, Yang Ming, Yong Zhang, Zhesheng Cheng

“…To address this, we propose a geometry-aware attention-based matching method called GeoAT. This method leverages low-resolution image features to obtain global geometric constraint information between images and uses an affine transformation matrix to guide the subsequent attention computation on high-resolution features, achieving efficient and accurate matching in a coarse-to-fine manner. …”
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LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction by Ritu Gothwal, Shailendra Tiwari, Shivendra Shivani

“…., simultaneous algebraic reconstruction technique (SART), and integrates the image prior i.e., weighted total variation (WTV) regularization within the Deep CNN model. …”
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From Topology Optimization to Complex Digital Architecture: A New Methodology for Architectural Morphology Generation by Kangqiang Lin, Yongpeng He, Yang Yang, Lei Xiong

“…Although numerous architects have tried to apply topology optimization tools to assist architectural morphology design in practical projects, topology optimization, like other quantitative analysis techniques, has not been systematically incorporated into the architectural morphology design. In this study, by integrating topology optimization toolsets and parametric design theory, combined with multiattribute decision-making analysis, a design method is proposed that could efficiently obtain several architectural structural architectural morphologies with both structural rationality and aesthetic rules and complete the evaluation and performance ranking of alternatives. …”
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The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation by Yusuf Babatunde Lawal, Pius Adewale Owolawi, Chunling Tu, Etienne Van Wyk, Joseph Sunday Ojo

“…The kernel density estimation (KDE) method was applied to estimate the temporal variation of rain height. …”
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Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

“…Through this approach, the sample set was classified into three categories, each corresponding to distinct conductivity variation patterns.…”
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Modeling Skin Thermal Behavior with a Cutaneous Calorimeter: Local Parameters of Medical Interest by Pedro Jesús Rodríguez de Rivera, Miriam Rodríguez de Rivera, Fabiola Socorro, Manuel Rodríguez de Rivera

“…During exercise, it allows the determination of heat flux and internal temperature variations using simplified expressions. The system demonstrates high sensitivity (195.5 mV/W) and provides a robust, non-invasive method for extracting medically relevant thermal parameters from a 2 × 2 cm² skin area.…”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
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Sustainability reporting and transitory environmental sustainability risks in manufacturing by Daniel Schneider, Alexander Schüler, Markus Woerle, Dominik Schneider, Niklas Eisold, Gunther Reinhart

“…This study critically examines sustainability reporting within Germany’s mechanical and plant engineering sector, focusing on the alignment with European Sustainability Reporting Standards (ESRS) and the disclosure of essential environmental metrics. Through a methodical assessment of 329 companies statistically representative for the sector, the research uncovers significant variations in reporting practices and a general shortfall in meeting ESRS requirements, especially in key environmental aspects. …”
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