Fast SVM-based Multiclass Classification in Large Training Sets by M. Yu. Kurbakov, V. V. Sulimova

“…Classical Support Vector Machines (SVM) is a popular, convenient and well-interpreted classification method, but it has a high computational complexity of a training stage in a nonlinear case and a low data parallelism. The aim of this paper is to improve the scalability of nonlinear multiclass SVM.…”
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Valsci: an open-source, self-hostable literature review utility for automated large-batch scientific claim verification using large language models by Brice Edelman, Jeffrey Skolnick

“…Results Preliminary evaluations across claims from the SciFact benchmark dataset reveal that Valsci significantly outperforms base GPT-4o outputs in citation hallucination rate while maintaining a low misclassification rate. The system is highly scalable, processing hundreds of claims per hour through asynchronous parallelization. …”
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Discrete Spectral Local Measurement Method for Testing Solar Concentrators by Huifu Zhao, Hua Liu, Lei Jing, Ying Liu, Chun Li, Zhenwu Lu, Qiang Sun

“…In order to compensate for the inconvenience and instability of outdoor photovoltaic concentration test system which are caused by the weather changes, we design an indoor concentration test system with a large caliber and a high parallelism, and then verify its feasibility and scientificity. …”
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MapReduce based big data framework using associative Kruskal poly Kernel classifier for diabetic disease prediction by R. Ramani, S. Edwin Raja, D. Dhinakaran, S. Jagan, G. Prabaharan

“…The proposed AKW-MRPK framework achieves up to 92 % accuracy, reduces computational time to as low as 0.875 ms for 25 patients, and demonstrates superior speedup efficiency with a value of 1.9 ms using two computational nodes, consistently outperforming supervised machine learning algorithms and Hadoop-based clusters across these critical metrics. • The AKW-MRPK method selects attributes and accelerates computations for predictions. • Parallelizing polynomial kernels improves accuracy and speed in healthcare data analysis.…”
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Wide-field fluorescence lifetime imaging of single molecules with a gated single-photon camera by Nathan Ronceray, Salim Bennani, Marianna Fanouria Mitsioni, Nicole Siegel, Maria J. Marcaida, Claudio Bruschini, Edoardo Charbon, Rahul Roy, Matteo Dal Peraro, Guillermo P. Acuna, Aleksandra Radenovic

“…Traditionally, FLIM uses time-correlated single-photon counting (TCSPC), which is precise but intrinsically low-throughput due to its dependence on point detectors. …”
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High-resolution fecal pharmacokinetic modeling in mice with orally administered antibiotics by Rie Maskawa, Lena Takayasu, Hideki Takayasu, Keiji Watanabe, Shusuke Takemine, Takashi Kakimoto, Kozue Takeshita, Seiko Narushima, Wataru Suda, Misako Takayasu

“…This study aims to characterize fecal pharmacokinetics through high-frequency sampling and parallelized fecal concentration quantification, establishing a simple pharmacokinetics model with physiologically interpretable parameters. …”
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Hardware implementation of FPGA-based spiking attention neural network accelerator by Shiyong Geng, Zhida Wang, Zhipeng Liu, Mengzhao Zhang, Xuelong Zhu, Yongping Dan

“…For higher recognition speed, we optimized circuit parallelism by applying techniques such as loop unrolling, loop pipelining, and array partitioning. …”
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Effect of suction on time-dependent behavior of intact loess under oedometric conditions: Strain rate dependency and stress relaxation by Tian-Gang Lan, Ling Xu, Shi-Feng Lu

“…The more rapid strain rate, leading to larger yield stress at relatively low suctions (0 and 50 kPa) and roughly paralleled one-dimensional normal compression lines (1D-NCL) conformed to the isotache approach. …”
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Real-Time and Post-Mission Heading Alignment for Drone Navigation Based on Single-Antenna GNSS and MEMs-IMU Sensors by João F. Contreras, Jitesh A. M. Vassaram, Marcos R. Fernandes, João B. R. do Val

“…This paper presents a heading alignment procedure for drone navigation employing a single hover GNSS antenna combined with low-grade MEMs-IMU sensors. The design was motivated by the need for a drone-mounted differential interferometric SAR (DinSAR) application. …”
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Ghost Module-Enhanced MTCNN: A Lightweight Cascade Framework for High-Accuracy Face Detection in Edge-Deployable Scenarios by Chen Wang, Fen Liu

“…Hardware deployment on FPGA further validates its practical efficacy, achieving a <inline-formula> <tex-math notation="LaTeX">$400\times $ </tex-math></inline-formula> acceleration in convolution operations through optimized parallelization and memory caching. This study enhances the MODEL&#x2019;s ability to detect small-size, multi-angle faces in low light, partially occluded, and noisy environments in complex scenarios, while effectively balancing parameter count and detection accuracy, making it a superior choice for deployment on edge devices.…”
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Understanding Chilling Injury and Sugar Metabolism-Related Genes and Metabolites in ‘Red Haven’ Peaches by Macarena Farcuh

“…Although cold storage is commonly used to extend peach fruit shelf-life, chilling injury (CI) can develop during low-temperature storage conditions and be expressed during exposure to ambient temperature. …”
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Long-distance target localization optimization algorithm based on single robot moving path planning by Yourong Chen, Ke Wu, Yidan Guo, Kehua Zhao, Liyuan Liu

“…Abstract To address the problem of low positioning accuracy for long-distance static targets, we propose an optimized algorithm for long-distance target localization (LTLO) based on single-robot moving path planning. …”
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Highly-Efficient Hardware Architecture for ML-KEM PQC Standard by Haesung Jung, Quang Dang Truong, Hanho Lee

“…The proposed design achieves a balance between high performance and low hardware resource consumption, making it suitable for deployment across various FPGA platforms. …”
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Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data by Srinivasan Rajamani, Arulmozhiyal Ramasamy

“…IPWS with JO-LSTM controller, super-capacitor suits for residence loads and provides 29% improved power factor, reduces harmonics 14%, DR of 6%, and low TS.…”
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On selection of foxes for enhanced aggressiveness and its correlated implications by L. N. Trut, A. V. Kharlamova, A. V. Vladimirova, Yu. E. Herbeck

“…The intragroup variability was constantly low. Most likely, the trait is stabilized by maternal prenatal and early neonatal factors. …”
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Practical Quantum Advantage on Partially Fault-Tolerant Quantum Computer by Riki Toshio, Yutaro Akahoshi, Jun Fujisaki, Hirotaka Oshima, Shintaro Sato, Keisuke Fujii

“…To this end, we develop a space-time efficient state preparation protocol to generate an ancillary non-Clifford state consumed for implementing an analog rotation gate with an arbitrary small angle θ and a remarkably low worst-case error rate below O(|θ|p_{ph}), where p_{ph} is the physical error rate. …”
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Expanded taxonomies of human memory by Jason R. Finley

“…Fruitful insights are possible from considering these expanded taxonomies using traditional ideas from cognitive psychology (e.g., encoding, storage, retrieval, forgetting). I explore numerous parallels, distinctions, and interplays.…”
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Dkk1 stabilizes Wnt co-receptor LRP6: implication for Wnt ligand-induced LRP6 down-regulation. by Yonghe Li, Wenyan Lu, Taj D King, Chia-Chen Liu, Gautam N Bijur, Guojun Bu

“…<h4>Background</h4>The low density lipoprotein receptor-related protein-6 (LRP6) is an essential co-receptor for canonical Wnt signaling. …”
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Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit by V. V. Kliuchenia

“…At the same time, such characteristics as structural regularity, modularity, high computational parallelism,  low  latency  and  power  consumption  are  taken  into  account.  …”
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Whole-genome sequencing and assembly with high-throughput, short-read technologies. by Andreas Sundquist, Mostafa Ronaghi, Haixu Tang, Pavel Pevzner, Serafim Batzoglou

“…Tested on D. melanogaster and the entire human genome, our clone-ordering method produces accurate maps, thereby localizing fragment assembly and enabling the parallelization of the subsequent steps of our pipeline. …”
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