Data Analysis and Optimization Strategies for Delivery Operations in a Shenyang-Based Convenience Store Network by Yuan Feier

“…This study focuses on optimizing delivery operations in a Shenyang-based convenience store network by analyzing delivery time, cost, order distribution, and external factors such as weather and traffic. Using Python-based data analysis, inefficiencies in delivery times, rising costs due to fuel and labor, and uneven order distribution across routes were identified Visualizations are plotted to highlight the impact of longer routes on time and cost and evaluated external influences like traffic and weather. …”
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Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model by Rashad A. R. Bantan, Shakaiba Shafiq, M. H. Tahir, Ahmed Elhassanein, Farrukh Jamal, Waleed Almutiry, Mohammed Elgarhy

“…To elucidate the bivariate extension, simulation analysis and application using COVID-19-associated fatality rate data from Italy and Belgium to conform a BIUPW distribution with visual depictions are also presented.…”
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Estimation of travel time reduction for ice-breaking ships when considering ice information data by Bernhard Schmitz, Christine Eis, H. Jakob Bünger, Christof Büskens

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Discovering action insights from large-scale assessment log data using machine learning by Minyoung Yun, Minjeong Jeon, Heyoung Yang

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An Intelligent Thermal Management Strategy for a Data Center Prototype Based on Digital Twin Technology by Hang Yuan, Zeyu Zhang, Duobing Yang, Tianyou Xue, Dongsheng Wen, Guice Yao

“…The entire process of thermal management for IDC can be real-time visualized in Unity, forming the virtual entity of data center prototype, which provides an intelligent solution for sustainable data center operation.…”
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The impact of happiness in political ads on party evaluation: A data donation study with emotion recognition by Xiaotong Chu, Annelien Van Remoortere, Susan Vermeer, Rens Vliegenthart, Sanne Kruikemeier

“…This study investigates the impact of projected images of happiness in election campaigns on ad-evoked emotions and party evaluation. An elaborate data collection was conducted during the final weeks of the 2021 Dutch General Election campaign. …”
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Adaptive convolutional neural network-based principal component analysis algorithm for the detection of manufacturing data by Tsun-Kuo Lin

“…Herein, an adaptive convolutional neural network (CNN)-based principal component analysis (PCA) algorithm for the detection of manufacturing data is proposed. The mentioned algorithm adaptively selects a suitable classification scheme (a CNN-based scheme or PCA-based support vector machine scheme) on the basis of various types of inputs to detect manufacturing data. …”
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scHiCTools: A computational toolbox for analyzing single-cell Hi-C data. by Xinjun Li, Fan Feng, Hongxi Pu, Wai Yan Leung, Jie Liu

“…We present an open-source computational toolbox, scHiCTools, for analyzing single-cell Hi-C data comprehensively and efficiently. The toolbox provides two methods for screening single cells, three common methods for smoothing scHi-C data, three efficient methods for calculating the pairwise similarity of cells, three methods for embedding single cells, three methods for clustering cells, and a build-in function to visualize the cells embedding in a two-dimensional or three-dimensional plot. scHiCTools, written in Python3, is compatible with different platforms, including Linux, macOS, and Windows.…”
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Integrated Explainable Diagnosis of Gear Wear Faults Based on Dynamic Modeling and Data-Driven Representation by Zemin Zhao, Tianci Zhang, Kang Xu, Jinyuan Tang, Yudian Yang

“…Then, a deep network incorporating Gradient-weighted Class Activation Mapping (Grad-CAM) enables visualized extraction of frequency-domain sensitive features. …”
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Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review by Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk

“…The purpose of this review is to explore the possibilities of radiomics in interpreting ultrasound and multislice spiral computed tomography data in patients with chronic kidney disease (CKD). …”
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Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

“…The diversity of weaving equipment has led to inconsistencies in communication protocols, impeding data collection and interoperability between devices, and ultimately reducing production efficiency. …”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

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Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection. by Elnaz Nemati, David B Grayden, Anthony N Burkitt, Parvin Zarei Eskikand

“…The model is designed to reflect key principles observed in the visual system, particularly MT neurons and their surround suppression mechanisms, which play a critical role in detecting global motion. …”
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Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applicationsMendeley Data and Zenodo by Anita Bhatt, Maulin Joshi

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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Spatial data not only enables smart cities to visualize, analyze, and interpret data related to location and space, but also helps departments make more informed decisions. …”
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Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases by K. A. Urazova, G. E. Gorlachev, A. P. Chernyaev, A. V. Golanov

“…Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts.…”
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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

“…The rapid advancement of computing power, combined with the ability to collect vast amounts of data, has unlocked new possibilities for industrial applications. …”
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Superpixel based robust reversible data hiding scheme exploiting Arnold transform with DCT and CA by Prabhash Kumar Singh, Biswapati Jana, Kakali Datta

“…The emergence of data hiding schemes was to provide multimedia security besides the sharing of information in a confidential manner. …”
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Research on somatic interactive exhibition design of lacquer artwork based on multi-source data analysis by Ke Ni

“…First, it explores the theoretical foundation of multi-source data and related algorithms, with a focus on ACS and ACO algorithms within neural networks, providing strong theoretical support for the model design. …”
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Lieutaud’s triangle lesion and urodynamic disorders in bladder cancer according to magnetic resonance imaging data by E. G. Grigor'ev, I. G. Frolova, S. A. Velichko

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