MVCG-SPS: A Multi-View Contrastive Graph Neural Network for Smart Ponzi Scheme Detection by Xiaofang Jiang, Wei-Tek Tsai

“…Our approach incorporates three key innovations: (1) Meta-Path-Based View Construction, which constructs multiple views of the data using meta-paths to capture different semantic relationships; (2) Reinforcement-Learning-Driven Multi-View Aggregation, which adaptively combines features from multiple views by optimizing aggregation weights through reinforcement learning; and (3) Multi-Scale Contrastive Learning, which aligns embeddings both within and across views to enhance representation robustness and improve anomaly detection performance. …”
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The Effect of Using Eco-Enzymes As Starters on The Physical and Nutritional Quality of Corn Cob Fermentation by Rohmiyatul Islamiyati, Budiman Nohong

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Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

“…Key results demonstrate that optimizing the fiber path can enhance the fundamental frequency of VSCL sandwich plates by up to 32.7% (CFFF boundary), providing an efficient design tool for vibration control of aerospace lightweight structures.…”
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Nigeria Bets on Natural Gas by GUBANOV Vitaly Alexandrovich

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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…Additionally, on the basis of the measurement data, the study explored the impact of train length on ground vibration and demonstrated that track ballast can absorb vibration energy along the wave propagation path. A frequency propagation contour plot was also created to analyse vibration energy across different frequencies. …”
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Leanness Computation: Small Values and Special Graph Classes by David Coudert, Samuel Coulomb, Guillaume Ducoffe

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Technical Concept of Depot Location Selection and Over Station Development Property Matchability by JIANG Zhihua, ZHU Ying

“…It is necessary to analyze the formation causes and propose optimization and improvement suggestions for urban rail transit planning and design. …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…Improved adaptation techniques, possibly through machine learning models that can learn and adjust to different environmental conditions, are suggested as a way forward. …”
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Analisis Penerimaan Pengguna Learning Management System (LMS) BRONE di Universitas Brawijaya berdasarkan Model Unified Theory of Acceptance and Use of Technology (UTAUT) by Lintang Trisnadi, Intan Sartika Eris Maghfiroh, Mochamad Chandra Saputra

“…Upaya sosialisasi dan pelatihan penggunaan LMS BRONE juga diperlukan agar adopsi sistem ini lebih optimal di kalangan pengguna.   Abstract In the era of information technology development, new learning methods have emerged, offering different perspectives on educational concepts. …”
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Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection by Yue Wang, Xinhong Wang, Shi Qiu, Xianghui Chen, Zhaoyan Liu, Chuncheng Zhou, Weiyuan Yao, Hongjia Cheng, Yu Zhang, Feihong Wang, Zhan Shu

“…The inclusion of a boundary difference loss further optimizes the edge details of targets. …”
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Revised methodology for CO₂ and CH₄ measurements at remote sites using a working standard-gas-saving system by M. Sasakawa, N. Tsuda, T. Machida, M. Arshinov, D. Davydov, A. Fofonov, B. Belan

“…The Japan–Russia Siberian Tall Tower Inland Observation Network (JR-STATION) is made up of this system, which was installed across nine different sites in Siberia. The system acquires semi-continuous data by alternating between sampling air from multiple altitudes through switched flow paths and recording several minutes of averaged data for each altitude. …”
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Impact of Bobath Based Rehabilitation Program and Conventional Physiotherapy: Children with Hydrocephalus by Tanpreet Kaur Bakshi, Jaspreet Singh Vij, Ashish Chhabra

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Active ramp-down control and trajectory design for tokamaks with neural differential equations and reinforcement learning by Allen M. Wang, Cristina Rea, Oswin So, Charles Dawson, Darren T. Garnier, Chuchu Fan

“…Abstract The tokamak offers a promising path to fusion energy, but disruptions pose a major economic risk, motivating solutions to manage their consequence. …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Abstract Leukocytes or white blood cells plays an important role in protecting the body from various contagious diseases and infectious agents. Different conventional leukocyte analysis approaches often face several problems like inaccuracies, demanding the need for sophisticated approaches to improve diagnostic precision. …”
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Risk Assessment and Dynamic Monitoring of China’s Agricultural Investment in Countries Along the Belt and Road Under the Guidance of Cultivated Land Resources by Yameng Wang, Guanglu Zhu, Mingyue Zhang, Songxiang Wang, Yuxin Han, Linyan Ma

“…Establishing a sound agricultural investment risk measurement and dynamic monitoring mechanism is a key path to optimize the efficiency of agricultural capital allocation and ensure the stability of the global food supply chain. …”
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Coupling relationship between land use transition and rural transformation development: A case study of county-level regions in Jiangsu Province by GE Dazhuan, WANG Rumin, LU Xiaoxue

“…[Conclusion] The coupling relationship between land use transition and rural transformation development determines the internal dynamics of regional rural transformation, and regulating this relationship provides an effective path for optimizing the rural spatial governance system and promoting sustainable rural development.…”
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Marine fish species recognition based on improved YOLOv5s by ZHANG Haifeng, LU Xinchun, FENG Bo, YANG Jin

“…Improved some C3 modules of the backbone network, and integrated CA coordination attention mechanism into the C3 module, which improved the recognition accuracy and detection speed of the model while reducing the number of model parameters. Finally, optimized the path aggregation network of the model to enhance the feature fusion ability of the network.ResultsThe experimental results showed that the improved Our⁃YOLOv5s model had a mAP of 98.4% and a detection speed of 64 s-1 in the dataset, which was 2.4% and 6 s-1 higher than the original model, respectively.ConclusionThe model can meet the real⁃time detection requirements of marine fish.…”
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Offshore Optical-wireless Integrated Access Network Deployment Algorithm based on MHA-MAD by LI Xuehua, XI Tong, WANG Xin, HUANG Xiang

“…These challenges include high deployment costs, substantial path losses, and harsh underwater conditions. There is an urgent need to optimize network deployment strategies to reduce costs, risks, and transmission losses in order to build a network that is suitable for the offshore environment.…”
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A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

“…\rightarrow n_T$$ as end-to-end DL predictors. Each directed path in the graph functions as a DL predictor, supporting both forward propagation for transforming data representations, as well as backpropagation for model finetuning, saliency map computation, and input data optimization. …”
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Graph-based multi-attribute decision-making method with new fuzzy information measures by Lili Zhang, Shu Sun, Ruping Wang, Chunfeng Suo

“…Moreover, this study affords a compendium of precise mathematical formulations to support the interconvertibility relationships delineated, this conversion can enable the selection of appropriate measures for optimization according to different needs. Subsequently, we consider constructing a fuzzy graph by graph theory and information measures for the decision model. …”
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