: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis by László Lengyel, Péter Ekler, Tamás Ujj, Tamás Balogh, Hassan Charaf

“…Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. …”
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Task-Level Data Model for Hardware Synthesis Based on Concurrent Collections by Jason Cong, Karthik Gururaj, Peng Zhang, Yi Zou

“…Based on the concurrent collection (CnC) model, which provides the maximum freedom of task rescheduling, we propose task-level data model (TLDM), targeted at the task-level optimization in hardware synthesis for data processing applications. Polyhedral models are embedded in TLDM for concise expression of task instances, array accesses, and dependencies. …”
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Experimental Investigation of Angular Stackgram Filtering for Noise Reduction of SPECT Projection Data: Study with Linear and Nonlinear Filters by Antti P. Happonen, Matti O. Koskinen

“…Recently, we have introduced an alternative approach to sinogram data processing, exploiting the angular information in a novel way. …”
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Influence Factors Analysis of Provincial Divorce Rate Spatial Distribution in China by Liyun Su, Changhai Liang, Xiaohe Yang, Yang Liu

“…It is reflected in the high divorce rate of the majority of ethnic minority population, while, in the spatial data processing, the factor spatial lag model (FSLM) is better than the ordinary least square (OLS) regression model.…”
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Dampak Nilai Personal dan Pertimbangan Konsekuensi Masa Depan Terhadap Intensi Sustainable Entrepreneurship dalam Komunitas Muslim by Fajar Andrian Sutisna, Febrina Putri Salma, Amalia Zhalzabilla

“…The data analysis model in this study uses Structural Equation Modeling (SEM) with Smart-PLS data processing software. The results showed that the egoistic values and CFC-I variables had a significant and positive influence on the attitude of sustainable entrepreneurship. …”
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Time Series Symbolization Method for the Data Mining K-Means Algorithm by Guisheng Wang

“…Based on this, this article proposes an improved sans algorithm based on the K-means algorithm and discusses the representation method and the data processing of time series symbolization. Experimental results show that this method can effectively reduce the dimensionality of high-dimensional time series. …”
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Digital technologies in the system of teaching students at the university by E. Z. Imaeva, N. A. Sukhareva, Yu. V. Kostikova

“…The following methods were used in the study: testing, questioning, analysis of performance results, mathematical methods of data processing, etc. Methods for diagnosing learning motivation and emotional attitude to learning, studying the levels of formation of students’ cognitive interests (author’s method), a questionnaire for assessing students’ knowledge in the field of research activities were applied as well. …”
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Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection by Yixian Liu, Yupeng Dai

“…Leveraging the advanced contextual encoding capabilities of BERT and the sequential data processing ability of LSTM networks, the proposed model dynamically extracts word and sentence-level features, subsequently generating embedding vectors that effectively identify malicious SQL query patterns. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

“…These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine.…”
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The Effect of Self-Leadership Effectiveness on Academic Achievement Through Time Management of Working Students by Kumala Vera Dewi

“…The data collection technique is to use a questionnaire distributed to research respondents. The data processing technique used is PLS (Partial Least Square) with the help of SmartPLS software. …”
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How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities by Koraly Pérez-Edgar, Mary Dozier, Rebecca Saxe, Katherine E. MacDuffie

“…Successful developmental neuroimaging efforts require interdisciplinary expertise to ground scientific questions in knowledge of human development, modify and create technologies and data processing pipelines suited to the young brain, and ensure research procedures meet the needs and protect the interests of young children and their caregivers. …”
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The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction by Jiazhen Zhang, Wei Chen, Xiulai Wang

“…This lightweight architecture design not only improves the computational efficiency but also enhances the stability in high-dimensional data processing and reduces feature redundancy by combining the normalization process with statistics. …”
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Multirotor UAV-Based Photogrammetric Mapping for Road Design by Muhammad Akmal Zulkipli, Khairul Nizam Tahar

“…This study involves four phases which consist of preliminary study, data collection, data processing, and analysis. This study focuses on the UAV as a tool to capture data of the ground from a certain altitude. …”
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

“…This is because in performing data processing, MLlib runs on memory. This research uses MLlib Apache Spark to classify fake news in Indonesian language with 1786 data that were obtained from fake news and fact provider sites, TurnBackHoax.id. …”
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Analisis Kinerja Jaringan Sensor Nirkabel untuk Edge Computing Menggunakan LORA SX1278 by Mochammad Hannats Hanafi Ichsan

“…Because in the implementation of the distance based on the large data processing results from Edge Computing is quite varied. …”
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Pavement Potholes Quantification: A Study Based on 3D Point Cloud Analysis by Qingzhen Sun, Lei Qiao, Yibo Shen

“…Voxel filtering and voxelization downsampling are used for denoising, filtering, and enhancing data processing efficiency. Surface segmentation is achieved through RANSAC (Random Sample Consensus) and Euclidean clustering, while the Alpha Shapes algorithm is utilized for three-dimensional volume reconstruction, facilitating the volumetric quantification of potholes. …”
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The effect of service quality and customer value on customer satisfaction and customer loyalty in Bank Sultra by Abdul Razak, Abdul hakim, Asraf Yunus

“…The purpose of this study was to determine and analyze the effect of service quality and customer value on satisfaction and loyalty, the effect of satisfaction on loyalty, the role of satisfaction in mediating the relationship between service quality and customer value on customer loyalty in Bank Sultra. Analysis of data processing using the Structural Equation Model (SEM) with Lisrel software The results of the study found that service quality, customer value had a positive but insignificant effect on customer satisfaction but a positive and significant effect on customer loyalty. …”
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Faktor Risiko Terjadinya Osteoporosis pada Wanita Menopause by Renidayati Renidayati, Clara Clara, Sunardi Sunardi

“…The sample in this study consists of 51 postmenopausal women. Data processing is done using univariate and bivariate data analysis. …”
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Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management by Álvaro Bueno-Ferrer, Jaime De Pablo Valenciano, Jerónimo De Burgos Jiménez

“…Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. …”
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Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing by He Jiang, Yan Zhao, Hang Zhou

“…To improve the efficiency of data processing and the flexibility of each unit dispatching, first, the areas are divided according to the load characteristics. …”
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