Domain general noise reduction for time series signals with Noisereduce by Tim Sainburg, Asaf Zorea

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Reduction of artifacts associated with missing data in coherent diffractive imaging by Erik Malm, Yuriy Chushkin

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Research on the Implementation Path and Effectiveness of Cost Reduction and Efficiency Improvement by Liu Boran

“…Under the background of dramatic fluctuations in raw material prices, corn deep-processing enterprises face systematic profitability challenges. …”
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Migraine improvement correlates with posterior cingulate cortical thickness reduction by Vanise C. G. Amaral, Gustavo Tukamoto, Tadeu Kubo, Ronir Raggio Luiz, Emerson Gasparetto, Maurice B. Vincent

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Edge Server Placement and Task Allocation for Maximum Delay Reduction by Koki Shibata, Sumiko Miyata

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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…For this purpose, an Artificial Intelligence (AI)-based mechanism is developed to predict analytical metrics for different sensor data configurations, notably reduction and distortion ratios, across a range of pre-selected data reduction algorithms. …”
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Carbon footprint assessment and reduction strategies for aquaculture: A review by Haocheng Li, Xiaoqing Zhou, Li Gao, Jian Liang, Huiru Liu, Yongren Li, Limei Chen, Yongjun Guo, Shuang Liang

“…The aquaculture carbon emissions come from various production stages, including feed production, farm operations, processing, transportation, and so forth. This review illustrates the theories, calculation methods, and practical applications of the carbon footprint in fisheries and aquaculture, as well as the challenges and strategies for emission reduction. …”
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Analysis of the Noise Reduction Characteristics of a Diffuser with Fizeau Interferometry by Hongjun Wang, Xueliang Zhu, Bingcai Liu, Ailing Tian

“…By analyzing the coherent noise reduction characteristics of the rotated diffuser with different surface roughnesses, the relationship between the surface roughness and the noise contrast for different rotation speeds was simulated, and the effective roughness range with the noise reduction effect was selected. …”
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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

Subjects: “…real-time traffic flow prediction…”
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Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model by Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi

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Optimizing Heart-Kidney Interaction for Cancer Detection Through Physiological Process Simulation as a Decision Support System by Najmeh Sadat Jaddi, Salwani Abdullah, Zalinda Othman, Yazrina Yahya, Mohd Zakree Ahmad Nazri, Say Leng Goh, Fatemeh Alvankarian, Jafar Alvankarian

“…The heart-kidney (HK) model proposed in this paper, as a DSS, simulates the physiological processes of the heart and kidneys in the human body to support cancer detection. …”
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Reduction of sphingomyelinase activity associated with progranulin deficiency and frontotemporal dementia by Nicholas R. Boyle, Stephanie N. Fox, Aniketh S. Tadepalli, Nicholas T. Seyfried, Thomas Kukar, Eliana M. Ramos, Alissa L. Nana, Salvatore Spina, Lea T. Grinberg, Bruce L. Miller, William W. Seeley, Andrew E. Arrant, Erik D. Roberson

“…Progranulin mutations cause abnormalities in lysosomal lipid processing, particularly of sphingolipids, major components of neural cell membranes that play important signaling roles in the brain. …”
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Prediction Method of Irregularity of High-speed Maglev Track Based on Normal Distribution Superposition Principle by Xin LIANG, Sansan DING, Chao HUANG, Dalian YU

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Prediction model for nonlinear variation of bolt preload with tightening torque based on mechanism and data fusion by Yueqi Qiao, Bing Zhao, Dingshan Deng, Weijin Ouyang

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Structural Online Damage Identification and Dynamic Reliability Prediction Method Based on Unscented Kalman Filter by Yan Zhang, Yongbo Zhang, Jinhui Yu, Fei Zhao, Shihao Zhu

Subjects: “…dynamic reliability prediction…”
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Application of convolutional neural networks trained on optical images for object detection in radar images by V.A. Pavlov, A.A. Belov, S.V. Volvenko, A.V. Rashich

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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

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Historical reconstruction dataset of hourly expected wind generation based on dynamically downscaled atmospheric reanalysis for assessing spatio-temporal impact of on-shore wind in... by Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama

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Review guidelines by Yu. P. Murzin

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Reduction of monoclonal antibody viscosity using interpretable machine learning by Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O’Day, Erick Maglalang, Dwight Winters, Peter M. Tessier

“…Here, we report an interpretable machine learning model for predicting antibody (IgG1) variants with low viscosity using only the sequences of their variable (Fv) regions. …”
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