Application of Six Sigma Methodology for Enhancement of Soft Plastic Extrusion Process by Muhammad Mansoor Uz Zaman Siddiqui, Adeel Tabassum

“… The gasket manufacturing process in “Company A” faced significant challenges and inefficiencies because of high rejection rates and variation in extrusion machine, magnetic insertion machine and welding machine’s performance. …”
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Extraction of phenotypic parameters of litchi based on image processing and three-dimensional point cloud by Haibo CHEN, Xinglan XIANG, Kangye GONG, Zhengxin LI, Shunhao HUANG, Chunxi LI, Xiaofeng CAI, Shan ZENG

“…The RGB color image of litchi was converted in color space, and the red coloration rate of litchi surface was extracted by judging the threshold of red pixels. …”
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Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles by Ruifan Yang, Min Huang, Wenhao Zhao, Zixuan Zhang, Yan Sun, Lulu Qian, Zhanchao Wang

“…This study proposes and implements a dual-processor FPGA-ARM architecture to resolve the critical contradiction between massive data volumes and real-time processing demands in UAV-borne hyperspectral imaging. …”
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Implementation of IoT-based SCADA in MPS Processing Station Integrated with CtrlX Automation by Gun Gun Maulana, Ridwan Mada, Ismail Rokhim, Hendy Rudiansyah, Muhammad Giri Suhada

“…Based on these results, the data transfer process using ctrlX Automation integrated with the Omron CP1L PLC can be categorized as very good.…”
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The prospect of developing a data driven approach in the Russian economy by P. D. Krotov

“…The analysis of population and business digitalization has shown that, despite the high rate of use of digital services among them, the level of data driven technologies implementation in organizations remains low. …”
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Improved CNN Prediction Based Reversible Data Hiding for Images by Yingqiang Qiu, Wanli Peng, Xiaodan Lin

“…This paper proposes a reversible data hiding (RDH) scheme for images with an improved convolutional neural network (CNN) predictor (ICNNP) that consists of three modules for feature extraction, pixel prediction, and complexity prediction, respectively. …”
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Autonomous agents: Augmenting visual information with raw audio data. by Enoch Solomon

“…This study advocates for the integration of raw audio samples as complementary information to visual data in state representation. By using raw audio with visual cues, our objective is to enrich the decision-making process of the agent at each stage. …”
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Text to Speech Using Finite State Automata on Health Data by Indrianto Indrianto, Abdurrasyid Abdurrasyid, Meilia Nur Indah Susanti, Givari Fairus Ferdiansyah Deu, Arief Ramadhan

“…Text to Speech is a technology that converts text into sound using a phonetization system, phonemes that are arranged to form a speech to make computers able to communicate and interact with everyday spoken language. Data that need to be interpret is the health data such as body temperature, heart rate per minute, and oxygen levels. …”
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Analysis of Temperature Characteristics of Electrolytic-Plasma Discharge in Jet Processing of a Metal Anode by A. I. Popov, V. I. Novikov, D. N. Ivanov, I. A. Kozyrskiy

“…Electrolytic plasma technologies used for dimensional and finishing processing of metal surfaces attract attention due to their high efficiency and precision. …”
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Signal-piloted processing and machine learning based efficient power quality disturbances recognition. by Saeed Mian Qaisar

“…The signal-piloted acquisition and processing brings real-time compression. Therefore, a remarkable reduction can be secured in the data storage, processing and transmission requirement towards the post classifier. …”
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Disparities in delivery of ophthalmic care; An exploration of public Medicare data. by Cecilia S Lee, Grace L Su, Douglas M Baughman, Yue Wu, Aaron Y Lee

“…<h4>Methods</h4>Cataract extraction current procedural terminology codes were used to sum the total observed number of cataract extractions per cataract surgeon. Epidemiology data on expected number of cataract surgeries in one year by decade of life were extrapolated via a Gaussian Process model. …”
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Key features of observational research data preparation for evidence synthesis by A. A. Lazarev, K. V. Sapozhnikov, D. G. Tolkacheva, N. A. Sableva

“…This article examined and described the process of preparing OS data for evidence synthesis.Results. …”
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Influence of Processing Conditions on the Thermal Stability and Mechanical Properties of PP/Silica-Lignin Composites by Łukasz Klapiszewski, Karol Bula, Marta Sobczak, Teofil Jesionowski

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The Zwicker tone as a model to investigate auditory processing and tinnitus: a scoping review by Jude L. R. Barker, Derek J. Hoare, Derek J. Hoare, Derek J. Hoare, Magdalena Sereda, Magdalena Sereda, Joseph Sollini

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The clarifying role of time series data in the population genetics of HIV. by Alison F Feder, Pleuni S Pennings, Dmitri A Petrov

“…In this paper, we demonstrate how time series data can bound evolutionary parameters in a way that complements and informs traditional population genetic approaches. …”
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Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

“…In order to obtain statistical descriptions of the probability distributions of reflectivity and the eddy dissipation rate (EDR), an analysis of radar signals, reflected from such MP as a rain shower, thunderstorm, hail was carried out. …”
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Intelligent Storage Data Classification System Based on the BP Neural Network by Minghui Li

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Research on Fault Diagnosis Method for Rotating Machinery Based on Edge Computing by Mo Chen, Chao Ge, Qirui Yang, Zhe Wei

“…To address the issues of low fault diagnosis recognition rate and data redundancy associated with single sensors under complex working conditions, this research proposes a fault diagnosis method based on dual-channel CNN decision-level fusion. …”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Following preprocessing and outlier removal, six features, namely, the flow rate (Q), weight on bit (WOB), standpipe pressure (SPP), depth, torque (T), and drill string rotation (DSR), were utilized as inputs for estimating the ROP. …”
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Characterizing the Temporally Dynamic Nature of Relative Growth Rates: A Kinetic Analysis on Nitrogen-, Phosphorus-, and Potassium-Limited Growth by Andrew Sharkey, Asher Altman, Yuming Sun, Thomas K. S. Igou, Yongsheng Chen

“…The resulting Dynamic μ model is the first to integrate plant maturity’s impact on growth rate, significantly improving model accuracy across limiting nutrients, treatments, and developmental stages. …”
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