A Lightweight and Rapid Dragon Fruit Detection Method for Harvesting Robots by Fei Yuan, Jinpeng Wang, Wenqin Ding, Song Mei, Chenzhe Fang, Sunan Chen, Hongping Zhou

“…The method builds upon YOLOv10 and integrates Gated Convolution (gConv) into the C2f module, forming a novel C2f-gConv structure that effectively reduces model parameters and computational complexity. In addition, a Global Attention Mechanism (GAM) is inserted between the backbone and the feature fusion layers to enrich semantic representations and improve the detection of occluded fruits. …”
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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

“…Importantly, we use adaptive pooling, a dynamic operation that optimizes spatial feature reduction while preserving critical information, which sets it apart from traditional fixed pooling layers. This adaptive pooling mechanism reduces computational complexity and results in a 22% reduction in training time, as demonstrated by the experimental results in section 4. …”
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On the Energy Efficiency of Indoor Air Conditioning by S. N. Osipov, A. V. Zakharenko, E. M. Shirokova

“…One of these methods is the use of laminar (or close to them) moving layers of conditioned air in a limited area of work or rest of people. …”
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Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors by Muhammad Bilal, Muhammad Shehzad Hanif

“…Instead of combining features across layers, we treat the local features extracted from each layer as independent stages within a cascade. …”
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SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching by Keliang Liu, Yantao Xi, Donglin Jing, Xue Zhang, Mingfei Xu

“…Experiments show that our network achieves a mAP of 80.10% on the DOTA-v1.0 dataset, while reducing computational complexity compared to the baseline model.…”
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5G New Radio for Non-Terrestrial Networks: Analysis and Comparison of HARQ and RLC ARQ Performance Over Satellite Links by Riccardo Tuninato, Gabriel Maiolini Capez, Nicolo Mazzali, Roberto Garello

“…In the second part, we consider the 5G NR alternative retransmission solution, RLC ARQ, which is available at the Radio Link Control (RLC) layer. This method might be interesting for satellite links, because it adds minimal complexity to the receiver side, but it provides less enhancement to signal reception capabilities and more latency. …”
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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

“…Future work will focus on scaling up data, pre-training cross-attention layers, and exploring hybrid architectures to further boost segmentation performance.…”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…Abstract Groundwater is one of the world’s most essential and valuable natural resources, important to a country’s growth development; regions like Azad Kashmir, Pakistan, face unique challenges from rapid urbanization and climate variability, highlighting the need for detailed assessments of groundwater potential and recharge dynamics. The complexity of groundwater systems complicates the identification of potential and recharge zones. …”
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Ways to increase the inter-maitenance period of roads by A. A. Lytkin, G. V. Dolgikh, A. S. Prolygin

“…When repairing and overhauling roads to restore the bearing capacity of layers of crushed stone (gravel) bases and strengthening flexible road pavements, preference should be given to the cold regeneration method. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…The Mamba module first flattens the feature maps into one dimensional image patch vectors and then uses linear layers for feature extraction and transformation. …”
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Multi-Metric Fusion Hypergraph Neural Network for Rotating Machinery Fault Diagnosis by Jiaxing Zhu, Junlan Hu, Buyun Sheng

“…Effective fault diagnosis in rotating machinery means extracting fault features from complex samples. However, traditional data-driven methods often overly rely on labeled samples and struggle with extracting high-order complex features. …”
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The Kratos Framework for Heterogeneous Astrophysical Simulations: Fundamental Infrastructures and Hydrodynamics by Lile Wang

“…The field of astrophysics has long sought computational tools capable of harnessing the power of modern GPUs to simulate the complex dynamics of astrophysical phenomena. The Kratos Framework, a novel GPU-based simulation system designed to leverage heterogeneous computing architectures, is introduced to address these challenges. …”
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The formation problem of the Tatar class in the Kazan Khanate (specific historical and theoretical aspects) by Iskhakov D.M.

“…In this study, we focused on the analysis of the entire complex of issues related to the formation of the Tatar layer of the state that controlled it, and also on how both in the Kazan Khanate and in its political predecessor in the person of the Bulgar Vilayet, the ruling class was built on a clan basis. …”
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Results of Reconstructive Plastic Surgery of Extensive Through Eyelid Defects by P. A. Banshchikov, G. P. Smoliakova, V. V. Egorov

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Failure Modes and Fault Morphology by Adam J. Cawood, David A. Ferrill, Kevin J. Smart

“…Analyses demonstrate complex fault surface geometries, a broad spectrum of slip tendency (Ts) and dilation tendency (Td), and variable failure behavior. …”
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Context-Defined Model of Open Systems Interaction for IoT Cybersecurity Issues Study by Victor Tikhonov, Eduard Siemens, Yevhen Vasiliu, Valery Sitnikov, Abdullah Taher, Olena Tykhonova, Kateryna Shulakova, Serhii Tikhonov

“…Mesarowic system theory for presenting the complex cybersecurity object of study as a set of its parts. …”
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On q-double modified Laplace transform by Srikumar Panda, Praveen Agarwal, Arvind Kumar Sinha

“…The Laplace transform is widely used in science and technology to deal with complex problemsin stability and control systems. …”
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Anti-Easter Story by Ivan Bunin “Mowers” (structure, system of Images, “Russian Idea”) by O. V. Bogdanova, Minjie Liu

“…It is shown that while recreating in the story what seems to be an uncomplicated memory of the meeting with the mowers and expressing delight over their heart-wrenching song, in fact Bunin is building a complex multi-tiered narrative system. It is noted that in this system, the outer layer of the narrative (a long-standing meeting with the mowers) is crowded by today’s reflection of exiled emigrants (Paris, 1921) and is symbolized by folklore ideas about fairy-tale Russia and its primitive mythology. …”
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Artificial intelligence in breast oncology by Alexander Mundinger

“…Abstract Artificial intelligence (AI) is based on complex artificial neural networks, characterized by layered network architecture, parallel processing of large data sets and iterative algorithms for processing large data sets. …”
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A conceptual framework for integrating deltaic food systems and spatial design: the case of the Mekong River Delta by Sophia Arbara, Fransje Hooimeijer

“…Food and deltaic systems are complex, interlinked systems that are crucial for future sustainable development. …”
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