Openness by Tyng-Ruey Chuang, Rebecca C. Fan, Ming-Syuan Ho, Kalpana Tyagi

“…Earlier usage of the term open was in the context of computer systems. For example, in networked systems of computers, ‘openness’ refers to enabling protocols that connect previously closed systems so that they can communicate with each other. …”
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Application of Double Circular Tooth Gear by Using Form Grinding Method by Gao Xinhong

“…Due to the computational complexity of grinding wheel profile and grinding interference in the process of grinding double circular tooth gear,a form grinding method is proposed. …”
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CFD Simulations of Pressure Drop in KATAPAK-S Structured Packing

“…KATAPAK-S is a type of structured catalytic packing, which is used in reactive distillation processes. The dry pressure drop characteristic (the pressure drop in the absence of liquid flow) is of significant importance for the investigation of process hydrodynamics. …”
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On Clustering in Qualitative Spatial and Temporal Reasoning by Abderrahmane Boukontar, Jean-François Condotta, Yakoub Salhi

“…Knowledge-dependent systems employ mechanisms like Qualitative Spatial and Temporal Reasoning (QSTR) to effectively process and interpret this information. This article explores application of QSTR in data clustering, offering several contributions. …”
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Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network by Ahmed Saihood, Wijdan Rashid Abdulhussien, Laith Alzubaid, Mohamed Manoufali, Yuantong Gu

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Multiscale modelling of hepatitis B virus at cell level of organization by Huguette Laure Wamba Makeng, Ivric Valaire Yatat-Djeumen, Bothwell Maregere, Rendani Netshikweta, Jean Jules Tewa, Winston Garira

“…The between-cell scale is linked to the within-cell scale by a once off inflow of initial viral infective inoculum dose from the between-cell scale to the within-cell scale through the process of infection; the within-cell scale is linked to the between-cell scale through the outflow of the virus from the within-cell scale to the between-cell scale through the process of viral shedding or excretion. …”
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Extended Maximum Actor–Critic Framework Based on Policy Gradient Reinforcement for System Optimization by Jung-Hyun Kim, Yong-Hoon Choi, You-Rak Choi, Jae-Hyeok Jeong, Min-Suk Kim

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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

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IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers by Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci

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Optimization and microstructural study of friction riveted carbon-Kevlar and aluminum joints for aerospace applications by Nagarajan Jawahar Vignesh, Rajesh Jesudoss Hynes Navasingh, Shenbaga Velu Pitchumani, Angela Jennifa Sujana Jesudoss, Piotr Nieslony, Venkatachalam Gopalan, Krzysztof Stebel, Radosław Jasiński, Maciej Zdanowski, Jana Petru, Robert Čep

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Entanglement Based Detection, Networking, Sensing, and Radars by Ivan B. Djordjevic, Vijay Nafria

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Potato precision planter metering system based on improved YOLOv5n-ByteTrack by Cisen Xiao, Changlin Song, Junmin Li, Min Liao, Yongfan Pu, Kun Du

“…Accurate assessment of the planting effect is crucial during the potato cultivation process. Currently, manual statistical methods are inefficient and challenging to evaluate in real-time. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

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Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping by Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono

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A Reference Voltage Loop Operation Based ZQ Calibration Technique for Multi-Load High- Capacity NAND Flash Memory Interface by Jun-Ha Lee, Jun-Eun Park, Dong-Ho Shin, Kang-Yoon Lee

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Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle by Kriti Singh, Yanbo Huang, Wyatt Young, Lorin Harvey, Mark Hall, Xin Zhang, Edgar Lobaton, Johnie Jenkins, Mark Shankle

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First-passage approach to optimizing perturbations for improved training of machine learning models by Sagi Meir, Tommer D Keidar, Shlomi Reuveni, Barak Hirshberg

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A hybrid of an automated multi-filter with a spatial bound particle swarm optimization for gene selection and cancer classification by Anas Arram, Masri Ayob, Musatafa Abbas Abbood Albadr, Dheeb Albashish, Alaa Sulaiman

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Study on Molybdenum–Rhenium Alloy Ultrasonic Resonance Temperature Sensor by Haijian Liang, Gao Wang, Xiaomei Yang, Yanlong Wei, Hongxin Xue

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The Impact of the Condenser on Cytogenetic Image Quality in Digital Microscope System by Liqiang Ren, Zheng Li, Yuhua Li, Bin Zheng, Shibo Li, Xiaodong Chen, Hong Liu

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