Detection and classification of lung diseases in distributed environment by Thuong-Cang Phan, Anh-Cang Phan

“…In this work, we train neural networks based on Faster R-CNN and RetinaNet with different backbones (ResNet, CheXNet, and Inception ResNet V2) for lung disease classification in a distributed and parallel processing environment. Moreover, we also experimented with three new network architectures on the medical image dataset: CTXNet, Big Transfer (BiT), and Swin Transformer, to evaluate their accuracy and training time in a distributed environment. …”
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Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms by Yiheng Qian, Zhiyong Xiao, Zhaohong Deng

“…The proposed model is designed to balance fine-grained feature extraction with deep semantic understanding, utilizing a parallel structure composed of two main components: the Feature Fusion Module (FFM) and the Mixed Attention Module (MAM). …”
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Selected physical and mechanical properties of twelve-year old garden teak in Ghana by Peter Kessels Dadzie, Paul Benedict Inkum, Isaac Sampson, Obed Persie Appiah-Kubi, Osei Asibey

“…This study therefore evaluated the physical and mechanical properties of 12-year-old teak using ASTM and BS standards to determine whether 12-year-old, garden-grown teak has density and mechanical properties comparable to those of mature plantation-grown teak, and whether it is suitable for light structural applications. …”
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Symmetric single-input eccentric tube robot (ETR) for manual use by Mayer Juliane, Dumancic Marcel, Pott Peter P.

“…To address this, a symmetric eccentric tube robot (ETR) is presented, where three identical pre-curved wires are arranged in parallel and constrained by an outer sheath. Instrument curvature is controlled by a single input angle. …”
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Effects of Long-Term Treatment with Atorvastatin and Rosuaastatin on Active Avoidance Test in Intact Rats by Maria Georgieva-Kotetarova, Ivanka Kostadinova, Delian Delev

“…Wistar rats were treated orally for 90 days with atorvastatin and rosuvastatin at a dose of 10 mg/kg b. w. in parallel with the vehicle-treated group. After that period, learning ability and memory retention was evaluated using an active avoidance test - automatic reflex conditioner (shuttle box). …”
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Optical Coherence Tomography Position Analysis of Retropupillary Iris-Fixated Intraocular Lens in Iris Tissue by Jana C. Riedl, Michael R. Bopp, Charlotte F. Gross, Urs Vossmerbaeumer

“…The aim of this study was to evaluate a micrometer-accurate analysis of the retropupillary Verisyse® intraocular lens (IOL) (Ophtec, Groningen NL; Santa Ana, USA) enclavation in the iris tissue. …”
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Feasibility of on-Street Parking Based on Degree of Saturation by Cut Mutiawati, Lulusi Lulusi, Fitrika Mita Suryani, Sugiarto Sugiarto

“…The results indicate that on-street parking facilities on segment 2 of Khairil Anwar Street should be evaluated, as the DS value is greater than 0.75 (unstable road condition), by changing parking patterns into a parallel configuration or eliminating parking facilities. …”
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Using Simulation Modeling to Estimate Time Characteristics of a Distributed Computing System by G. A. Zvonareva, D. S. Buzunov

“…In present time, distributed computing systems with parallel data processing are widely used. During development of such distributed systems problem of analyzing workload and structure parameters impact on system performance is presented. …”
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All-Digital Timing Recovery for Free Space Optical Communication Signals With a Large Dynamic Range and Low OSNR by Yunfeng Gu, Sheng Cui, Changjian Ke, Keji Zhou, Deming Liu

“…Based on the proposed TED, we design a feedback parallel TRA suitable for the FSOC signals and implement it in a FPGA to evaluate its real-time performance. …”
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Collaboration Between Human–Robot Interaction Based on CDPR in a Virtual Reality Game Environment by Dang Tri Dung, Nguyen Minh Trieu, Nguyen Truong Thinh

“…This paper describes several thrilling motion games on virtual reality (VR) platforms to evaluate human–robot interaction (HRI) with the support of cable-driven parallel robot (CDPR). …”
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Student perceptions of STEM camp experience and STEM career pathways: a mixed methods study by Tilisa Thibodeaux, Shannon Jordan, Samuel Kemerly

“…Results Sixty-eight students (ages 14–18 years) participated in the convergent, parallel mixed methods study. Of these 68 students, 32 were male and 36 were female. …”
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Biodegradable 3D-Porous Collagen Matrix (Ologen) Compared with Mitomycin C for Treatment of Primary Open-Angle Glaucoma: Results at 5 Years by Fei Yuan, Lei Li, Xiuping Chen, Xiang Yan, Liyang Wang

“…Purpose. To evaluate the effectiveness and safety of the Ologen as an aid for trabeculectomy performed for primary open-angle glaucoma compared with mitomycin C. …”
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“From the football pitch to the boardroom”: a comparative analysis of talent coaching through neuroscience and its application in business leadership by Nikos Lambridis

“…By drawing parallels between the latent coaching dynamics in the high-stakes global segment of football and the difficult segment of business leadership, the research is focused on a comparative evaluation to examine the transferability of coaching principles “from pitch to boardroom”. …”
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Microfluidic reactors for paired electrosynthesis: Fundamentals, applications and future prospects by Hao Xue, Zhi-Hao Zhao, Menglei Yuan, Guangjin Zhang

“…The established fundamentals and evaluated metrics further inspired the applications of microfluidic reactors in paired electrosynthesis. …”
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Comparative Analysis of Pure and Scrap Metal Electrodes of Aluminum (Al), Zinc (Zn) and Copper (Cu) for the Development of Saline Batteries as an Alternative Power Source during Ca... by Molina Anna Shekinah, Bejarin Aaron Carlo, Evale Yelena, Fontanilla Angelica May, Requiroso Carsten Althensor, Escobal Charisse Angelique

“…Among the different configurations tested, the most effective were the parallel circuits of two 5-cell and two 6-cell batteries, which demonstrated superior longevity and efficiency. …”
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Metaheuristics in automated machine learning: Strategies for optimization by Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone

“…This work aims to fill this gap by systematically evaluating the performance of metaheuristic algorithms in optimizing hyperparameters and discussing advanced techniques such as parallel computing to adapt metaheuristic algorithms for use in hyperparameter optimization with high-dimensional hyperparameter search space.…”
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Screening tool for the identification of relative energy deficiency in Sport risk: validation of the low energy availability in female questionnaire - Italian version (LEAFQ-ITA) by Cinzia Ferraris, Lenycia de Cassya Lopes Neri, Anna Paola Amoroso, Francesca Bosio, Simona Fiorini, Monica Guglielmetti, Rossella Elena Nappi, Anna Tagliabue

“…Although initially hypothesizing the presence of 3 factors, the parallel analysis suggested 2 factors as being the most representative of the data. …”
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Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation by Jianxia Wang, Shaozu Qiu, Jia Cai, Xiaoming Zhang

“…To solve this problem, a weighted feature fusion network based on large kernel convolution and Transformer (LTFCNet) was proposed. The model uses two parallel encoders to extract the features of different modalities, an improved cross-fusion module to enhance the encoder’s feature extraction capability, and a gate module based on large kernel and Transformer to achieve multi-modal fusion. …”
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Information Exchange Pairs Simulation Method Based on Discrete Event Simulation for Autonomous Transportation System by Ji Zhang, Zhenwu Chen, Liang Yang, Zihan Guo, Xianglong Feng, Xiang Liu, Zhijun Huang, Puyang Deng, Xiaochun Zhang, Chen Liang

“…Meanwhile, this method also supports further research on the system evolution and architecture analysis, including the functions, logic, and physical architectures of each generation, as well as their mapping relationships and parallel evolution mechanisms.…”
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Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU by Yajing Xing, Jinbiao Tan, Rui Zhang, Jiafu Wan

“…Hence, this paper proposes a robust multivariate temporal data anomaly detection method based on graph attention for training convolutional neural networks (PGAT-BiGRU-NRA). Firstly, the parallel graph attention (PGAT) mechanism extracts the time-dependent and spatially related features of MTSD to realize the MTSD fusion. …”
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