An algorithm of blood typing using serological plate images by S.A. Korchagin, E.E. Zaychenkova, D.A. Sharapov, E.I. Ershov, Y.V. Butorin, Y.Y. Vengerov

“…The proposed recognition algorithm allows the alveolus boundaries to be accurately determined and the agglutination degree to be evaluated using a lightweight convolutional neural network. A unique dataset was collected with the independent assessment of agglutination degree conducted by medical experts. …”
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Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis by Sebastiano Battiato, Pasquale Caponnetto, Roberto Leotta, Giovanni Marotta, Alessandro Midolo, Alessandro Ortis, Riccardo Polosa

“… # Results the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process…”
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RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks by Muhammad Tanveer, Saud Alhajaj Aldossari

“…This paper introduces a novel lightweight AM, called RAM-MEN that employs cryptography and physically unclonable functions (PUFs) to secure IoT-enabled MEC environments in the 6G era. …”
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IP Controller Design for Uncertain Two-Mass Torsional System Using Time-Frequency Analysis by Jing Cui, Jiayu Ye, Zhongyi Chu

“…With the development of industrial production, drive systems are demanded for larger inertias of motors and load machines, whereas shafts should be lightweight. In this situation, it will excite mechanical vibrations in load side, which is harmful for industrial production when the motor works. …”
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Research Progress on Interlaminar Failure Behavior of Fiber Metal Laminates by Yizhe Chen, Yichun Wang, Hui Wang

“…Fiber metal laminate (FML) is a kind of lightweight material with excellent mechanical properties combining advantages of metal laminates and fiber reinforced composites. …”
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The structural regulation of H-bonding network in the chemically-bonded polyimide/silica nanocomposite with excellent mechanical stability and improved moisture resistance by Hao Wang, Ziqiao Wang, Naihang Kuang, Yujiu Yang, Chunhua Zhang

“…Polymer-based nanocomposites, being widely concerned for lightweight and high-strength functional materials, still exhibit irreversible failures to resist mechanical damage and water erosion. …”
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Simulation and Optimization of Acoustic Package of Dash Panel Based on SEA by Jintao Su, Ling Zheng, Jianping Lou

“…On this basis, multiobjective genetic algorithm and proxy model method are used to optimize the insertion loss of the front panel acoustic pack and the weight of the dashboard by introducing multiobjective variable and experimental design method, so as to obtain the best solution to meet the requirements of insertion loss and lightweight acoustic pack of the dashboard. It is of great engineering significance for the development of acoustic components for forward design instrument panel.…”
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Insights on the use of genetic algorithm to tessellate voronoi structures in materials science by Luana Souza Almeida, Paulo Rangel Rios

“…The main advantage of these complex designs is their lightweight and enhanced mechanical properties, such as high buckling resistance. …”
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A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks by Yanxia Chen, Zhe Li, Rongxin Zhu

“…Autonomous Underwater Vehicles (AUVs) are deployed as blockchain nodes to aid cluster heads in identity verification, while all underwater acoustic nodes are integrated as lightweight blockchain nodes, thus ensuring uniform management and authentication. …”
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Topology optimization design of wing rib based on bi-directional evolutionary structural optimization method by HUANG Chenglei, FAN Qingming, LIU Hongjun, YU Boya

“…The results show that this method can obtain the optimal configuration of the wing fin, effectively improve the utilization rate of materials, and greatly reduce the weight of the wing structure, which provides a certain reference for the lightweight research of solar UAV.…”
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An NoC Traffic Compiler for Efficient FPGA Implementation of Sparse Graph-Oriented Workloads by Nachiket Kapre, André Dehon

“…Such offline traffic optimization eliminates the need for complex, runtime NoC hardware and enables lightweight, scalable NoCs. We perform load balancing, placement, fanout routing, and fine-grained synchronization to optimize our workloads for large networks up to 2025 parallel elements for BSP model and 25 parallel elements for Token Dataflow. …”
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IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering for Versatile Video Coding by Yu-Han Sun, Chiang Lo-Hsuan Lee, Tian-Sheuan Chang

“…Furthermore, based on this dataset, we propose a lightweight JND prefiltering network, IQNet, which can be applied directly to different quantization cases with the same model and only needs 3K parameters. …”
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Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains by Lewis Chinery, Jeliazko R. Jeliazkov, Charlotte M. Deane

“…Humatch consists of three lightweight Convolutional Neural Networks (CNNs) trained to identify human heavy V-genes, light V-genes, and well-paired antibody sequences with near-perfect accuracy. …”
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Towards evaluating and building versatile large language models for medicine by Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…To demonstrate the dataset’s utility, we conducted a proof-of-concept experiment by performing instruction tuning on a lightweight, open-source medical language model. The resulting model, MMedIns-Llama 3, significantly outperformed existing models on various clinical tasks. …”
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

“…It effectively integrates the semantic and structural information of assembly instructions within and between basic blocks, and across the entire function through four semantic-aware neural networks, achieving deep understanding of binary code semantics. MSSA is a lightweight model with only 0.38M parameters in its backbone network, suitable for deployment in CPU environments. …”
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Decentralized Federated Learning with Prototype Exchange by Lu Qi, Haoze Chen, Hongliang Zou, Shaohua Chen, Xiaoying Zhang, Hongyan Chen

“…PearFL allows each client to share lightweight prototype information with its neighbors, minimizing communication overhead and improving model consistency across distributed devices. …”
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Adaptive Fuzzy Control for Attitude Stabilization of Spacecraft with Deployable Composite Laminated Solar Array by Wei Zhang, Weibing Zhu, Shijie Zhang, Xiangtian Zhao

“…Modern spacecraft are often equipped with large-scale, complex, and lightweight solar arrays whose deployment involves a highly dynamic movement. …”
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Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain by Yi Yin, Jianwei Pan, Fang Wang, Peihang Li, Zhen Cai, Xin Xu

“…Abstract Foam ceramics are widely used in industrial applications due to their unique properties, including high porosity, lightweight, and high-temperature resistance. However, their complex microstructure presents significant challenges for image analysis. …”
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Beyond full‐bit secure authenticated encryption without input‐length limitation by Akiko Inoue

“…However, due to the increased interest in lightweight cryptography, smaller block‐size primitives have been developed, which has led to more active research on AE schemes with beyond birthday‐bound security. …”
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Bimetallic synergy in supported Ni–Pd catalyst for selective hydrogenolysis of C–O bonds in epoxy resins by Yanze Huang, Yukari Yamazaki, Katsutoshi Nomoto, Hiroki Miura, Tetsuya Shishido, Xiongjie Jin, Kyoko Nozaki

“…Abstract Recycling of epoxy composites is of importance for achieving circular economy as demand for lightweight materials in the field of sustainable technologies is soaring. …”
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