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Optimizing data

Xem 1-20 trên 637 kết quả Optimizing data
  • This research focuses on developing a method to optimize the DCNN (Deep Convolutional Neural Network) classification model for plant diseases. We enriched the data by incorporating data from two public datasets, PlantVillage Dataset (PVD) and CroppedPlant Dataset (CPD), and we trained the model using two-step transfer learning.

    pdf6p vithomson 02-07-2024 0 0   Download

  • This study investigates how selecting different vehicle axle load survey data scenarios impacts the accuracy of pavement design and rehabilitation for roads in Vietnam. Evaluation of various data selection methods and their influence on pavement response using the current flexible pavement calculation procedure in Vietnam.

    pdf12p vithomson 02-07-2024 0 0   Download

  • Part 2 of ebook "Beginning data science in R: Data analysis, visualization, and modelling for the data scientist" provides readers with contents including: Chapter 7 - Unsupervised learning; Chapter 8 - More R programming; Chapter 9 - Advanced R programming; Chapter 10 - Object oriented programming; Chapter 11 - Building an R package; Chapter 12 - Testing and package checking; Chapter 13 - Version control; Chapter 14 - Profiling and optimizing;...

    pdf181p daonhiennhien 03-07-2024 2 1   Download

  • In this current study, damage in three beam-like structures is identified by means of an improved version of the gapped smooth method, namely a curvature-based gapped smooth method. Only unhealthy data of structures are extracted to determine the developed index.

    pdf15p viwalton 02-07-2024 2 1   Download

  • The optimal timing for surgery following neoadjuvant immunochemotherapy for lung squamous cell carcinoma appears to be a topic of limited data. Many clinical studies lack stringent guidelines regarding this timing. The objective of this study is to explore the effect of the interval between neoadjuvant immunochemotherapy and surgery on survival outcomes in patients with lung squamous cell carcinoma.

    pdf9p vishanshan 27-06-2024 2 1   Download

  • Part 2 of ebook "Social media management: Technologies and strategies for creating business value" provides readers with contents including: Chapter 6 - Search engine optimization; Chapter 7 - Sentiment analysis and opinion mining (Business intelligence 1); Chapter 8 - Social network data and predictive mining (Business intelligence 2); Chapter 9 - e-Recruitment; Chapter 10 - Crowdfunding; Chapter 11 - Legal and ethical issues in social media; Chapter 12 - Wrap-up;...

    pdf133p giangmacvien 22-06-2024 1 1   Download

  • Part 2 of ebook "Driving demand: Transforming B2B marketing to meet the needs of the modern buyer" provides readers with contents including: Chapter 7 - Adapting the lead management process; Chapter 8 - Measuring for success; Chapter 9 - Optimizing data and technology; Chapter 10 - Creating an outcome accountable culture; Chapter 11 - Managing people through change; Chapter 12 - The need for change;...

    pdf103p giangmacvien 22-06-2024 2 1   Download

  • Neuroendocrine carcinoma (NEC) originating from the endometrium is rare, and there is limited knowledge regarding its diagnosis and optimal management. In this study, we present our experience with 11 patients with endometrial NEC, aiming to provide guidance for clinical practice.

    pdf10p vikoch 27-06-2024 1 1   Download

  • N-Guanylurea dinitramide (GUDN), also known as FOX-12, is indeed a fascinating organic dinitramide salt with high insensitivity and good thermal stability. It shows great promise for use in next-generation insensitive munitions. In this study, GUDN was synthesized through the nitration reaction of ammonium sulfamate salt with an acid mixture (HNO3/H2SO4) and guanylurea salts in water.

    pdf9p visergeyne 18-06-2024 0 0   Download

  • Ebook Proceedings of the 4th international conference on computer engineering and networks is organized as follows: Part I: Algorithm design, part II: Data processing, part III: Pattern recognition, part IV: Cloud computing, part V: Embedded systems, part VI: Network optimization.

    pdf1252p zizaybay1103 29-05-2024 2 2   Download

  • Ebook Business statistics with Exceland Tableau: A hands-on guide with screencasts and data includes content: Chapter 2: visualization and tableau: telling (true) stories with data, chapter 3: writing up your findings, chapter 4: data and how to get it, chapter 5: testing whether quantities are the same, chapter 6: regression: predicting with continuous variables, chapter 7: checking your regression model, chapter 8: time series introduction and smoothing methods, chapter 9: time series regression methods, chapter 10: optimization, chapter 11: morecomplex optimization, chapter 12: predictin...

    pdf247p zizaybay1103 29-05-2024 4 1   Download

  • Part 2 of ebook "Numerical methods using MATLAB® (Third edition)" provides readers with contents including: Chapter 6 - Boundary value problems; Chapter 7 - Fitting functions to data; Chapter 8 - Optimization methods; Chapter 9 - Applications of the symbolic toolbox;...

    pdf248p dongmelo 20-05-2024 3 2   Download

  • Lecture Artificial intelligence: Support vector machine. This lecture provides students with content including: distance from a point to a line/plane/hyperplane; equal margins; largest margins; optimization problem;... Please refer to the detailed content of the lecture!

    pdf7p codabach1016 03-05-2024 0 0   Download

  • This study proposes a hybrid multi-filter wrapper method for feature selection of relevant and irredundant features in software defect prediction. The proposed hybrid feature selection will be developed to take advantage of filter-filter and filter-wrapper relationships to give optimal feature subsets, reduce its evaluation cycle and subsequently improve SDP models overall predictive performance in terms of Accuracy, Precision and Recall values.

    pdf7p longtimenosee10 26-04-2024 3 1   Download

  • The study was conducted a year (July 2017-July 2018) in Gorontalo Province. Data were obtained from direct interviews with farmers, collectors, wholesalers, retailers. Data analysis utilized DEA (Data Envelopment Analysis). The results showed that the performance of the cayenne supply chain doer in Gorontalo was mostly efficient, only 16.7% farmers, 10% collecting trader, 8.3% large trader and 16.7% retailers whose performance was not efficient.

    pdf7p longtimenosee10 26-04-2024 3 2   Download

  • The study is descriptive but quantitative data collected through the administered structured questionnaire interpreted and presented exploratory with explanations for the primary understanding. The need for finding the relationship and to get the understanding of effect of producer’s variable with vertically coordinated agricultural supply chain variables that can measure the efficiency of agricultural supply chain and can develop the optimized equation is the main idea behind the study.

    pdf11p longtimenosee10 26-04-2024 4 1   Download

  • The purpose of our research is to study new opportunities in agile supply chain management, identify barriers to agile supply chain management, develop a methodology to overcome these barriers and make proposals for agile supply chain management in multinational corporations.The study and analysis of supply chain management of multinational corporations allowed us to define the specifics of the industry using the following research methods: the choice of logistics intermediaries, forecasting (indicators, flows, etc.), nomenclature groups, risk optimization, statistical data analysis.

    pdf10p longtimenosee10 26-04-2024 1 1   Download

  • The study was carried out in the universities in South-South geopolitical zone of Nigeria. From a sample of 2165 non-academic staff of the public universities, data were obtained and analyzed.

    pdf7p viohoyo 25-04-2024 1 1   Download

  • In this research, the problems were divided into three small, medium and large groups, and for each of the solving methods the evaluation criteria was calculated. The results of this comparison indicated that non-dominated optimization algorithm outperforms the exact solving method. Therefore, it was concluded that this algorithm should be used to solve the model of real data.

    pdf22p longtimenosee10 26-04-2024 3 1   Download

  • The purpose of our research is to study the existing problems in the food supply chain management and to propose a decision-making algorithm for efficient and competitive business development. The study and generalization of theoretical studies in the field of food supply chain management allowed us to identify and formulate the specifics of this industry with the help of the following research methods: selection of logistics intermediaries, forecasting (indicators, flows, etc.), arrangement of nomenclature groups, optimization under risk conditions, statistical methods in data processing.

    pdf10p longtimenosee10 26-04-2024 4 1   Download

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