Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…To address the above challenge, a variance reduction optimization algorithm, DM-SRG (double mini-batch stochastic recursive gradient), based on mini-batch random sampling is proposed and applied to solving convex and non-convex optimization problems. …”
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An edge streaming data processing framework for autonomous driving by Hang Zhao, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, Jie Tang

“…The proposed framework is implemented on top of Spark Streaming, which builds up a gray model based traffic flow monitor, a traffic prediction orientated prediction layer and a fuzzy control based Batch Interval dynamic adjustment layer for Spark Streaming. …”
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Pulse-driven MEMS gas sensor combined with machine learning for selective gas identification by Wenxin Luo, Fa Dai, Yijun Liu, Xin Wang, Mingjie Li

“…Microfabricated through wafer-level batch processing, our innovative electronic nose system holds significant potential for battery-powered mobile devices and IoT-based monitoring applications.…”
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Modified Silica Particles Coated with Cu-Al Layered Double Hydroxide for Phosphate and Arsenate Removal in Water Treatment by Andrija Savić, Marija M. Vuksanović, Marjetka Savić, Nataša Knežević, Aleksandra Šaponjić, Svetlana Ilić, Adela Egelja

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Multi-Scale Feature Pyramid Network With Camera Artifact Augmentation for Pedestrian Detection by Ankit Shrivastava, Shanmugam Poonkuntran

“…From the result analysis it was observed that batch size 16 is optimal batch size and variant YOLOV10n is the most accurate and YOLOV10s is the fastest version. …”
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Automated high-throughput quantification of mitotic spindle positioning from DIC movies of Caenorhabditis embryos. by David Cluet, Pierre-Nicolas Stébé, Soizic Riche, Martin Spichty, Marie Delattre

“…It is user-friendly and freely available under an open-source licence. ACT allows batch-wise analysis of large sets of mitosis events. …”
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Unlocking higher methane yields and digestate nitrogen availability in soil through thermal treatment of feedstocks in a two-step anaerobic digestion by Jared Onyango Nyang’au, Jihane El Mahdi, Henrik Bjarne Møller, Peter Sørensen

“…Pre-digested feedstock (PDF) was treated at three different temperatures (70 °C, 120 °C and 180 °C) for 60 min, followed by parallel secondary AD steps using lab-scale continuous stirred-tank reactors (CSTR) and a batch test. Thermally treated feedstocks with and without a secondary AD step were applied to soil to study C and N dynamics and turnover for 2 months. …”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…The study was conducted on the basis of Bitcoin price dynamics data (Coinbase exchange) for the period of May 4, 2021 - April 9, 2024. …”
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Altering ROY polymorph crystallization in conventional and microfluidic crystallizers with acoustic cavitation by Mohammed Noorul Hussain, Arthur Demuynck, Tom Van Gerven

“…Experiments were conducted in batch and microfluidic flow crystallization setups at different anti-solvent volume fractions under silent and sonicated conditions. …”
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Assisted heterogeneous multinucleation and bubble growth in semicrystalline ethylene-vinyl acetate copolymer/expanded graphite nanocomposite foams: Control of morphology and viscoe... by O. Yousefzade, F. Hemmati, H. Garmabi, M. Mahdavi

“…Nanocomposite foams of ethylene-vinyl acetate copolymer (EVA) reinforced by expanded graphite (EG) were prepared using supercritical nitrogen in batch foaming process. Effects of EG particle size, crosslinking of EVA chains and foaming temperature on the cell morphology and foam viscoelastic properties were investigated. …”
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Deciphering the linkage between dissolved biochar and nitrate reduction in the saturated zone and the associated shifts in microbial communities by Ma Haoran, Liu Lecheng

“…This study delves into the impact of Dissolved Biochar (DBC) on nitrate reduction in the saturated zone, a key process for mitigating groundwater nitrate contamination from agricultural runoff. Through batch experiments, we evaluated the influence of DBC, derived from pyrolyzed corn stalks and pine sawdust, on nitrate reduction rates and microbial community dynamics. …”
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A deep neural network with attention mechanism for flow prediction of compressor blade by Guanyu Gao, Gang Wang

“…Abstract For flow-related design optimization problems, computational fluid dynamics (CFD) simulations are commonly used to predict the flow fields. …”
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Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

“…The results indicate that (1) the batch size significantly affects model optimization. …”
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Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing by Bin Dong, Di Yang, Zheng Wang, Wenhong Zhou

“…Big data platform based on the Hadoop structures using offline batch processing mode，unable to meet the service requirements for data timeliness.In order to solve the real-time signal processing requirements in operator OIDD（open information of dynamic data）big data platform，the big-data system components of stream computing were discussed，real-time data collecting，distribution and processing components which formed the end-to-end real-time signal processing big data technology solutions were recommended，and the solutions of the OIDD big data platform which integrated batch computing and stream computing were proposed.It will improve the timeliness of the network signaling data and provide more space for business innovation and bring more benefits.…”
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Spawning in the deep: reproductive life history of four mesopelagic fishes of the northwestern Atlantic Ocean by Lyndsey S. Lefebvre, Heidi M. Sosik, Joel K. Llopiz

“…Reproductive biology data are critical for understanding population dynamics and estimating production of a species, particularly when age and growth data are lacking. …”
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A phenomenological model of non-genomic variability of luminescent bacterial cells by S. I. Bartsev

“…All experiments were carried out with bacterial clones (genetically homogeneous populations). A typical dynamics of luminous bacterial cells distributions with respect to intensity of light emission at various stages of batch culture growth in a liquid medium was obtained. …”
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Substitute Yeast Extract While Maintaining Performance: Showcase Amorpha‐4,11‐Diene Production by Carlos Castillo‐Saldarriaga, Christine N. S. Santos, Stephen Sarria, Parayil K. Ajikumar, Ralf Takors

“…While prior efforts have focused on growth‐associated products, the dynamics of growth‐uncoupled production, which leads to higher production rates and conversion yields, still need to be explored. …”
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Cluster-independent multiscale marker identification in single-cell RNA-seq data using localized marker detector (LMD) by Ruiqi Li, Rihao Qu, Fabio Parisi, Francesco Strino, Hainan Lam, Jay S. Stanley, Xiuyuan Cheng, Peggy Myung, Yuval Kluger

“…LMD constructs a cell-cell affinity graph, diffuses the gene expression value across the cell graph, and assigns a score to each gene based on its diffusion dynamics. LMD’s candidate markers can be grouped into functional gene modules, which accurately reflect cell types, subtypes, and other sources of variation such as cell cycle status. …”
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Feedback driven autonomous cycles of assembly and disassembly from minimal building blocks by Antara Reja, Sangam Jha, Ashley Sreejan, Sumit Pal, Subhajit Bal, Chetan Gadgil, Dibyendu Das

“…Abstract The construction of complex systems by simple chemicals that can display emergent network dynamics might contribute to our understanding of complex behavior from simple organic reactions. …”
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Unified regularity measures for sample-wise learning and generalization by Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu

“…., the misclassification of previously learned or generalized samples, are utilized to represent the uncertainty of sample regularity with respect to optimization dynamics. The effectiveness and robustness of the proposed approaches for mini-batch stochastic gradient descent (SGD) optimization are validated through sample-wise analyses. …”
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