Data driven approach

In ebook "Mind genomics: A guide to data-driven marketing strategy" the authors describe how Mind Genomics works - a revolutionary marketing method that combines the three sciences of Mathematics, Psychology, and Economics - in a masterful way. Mind Genomics helps the seller of products and services to know what people are thinking about them before one ever commits to an approach by knowing what is important to the people one is trying to influence.

129p giangmacvien 22-06-2024 3 1   Download

Ebook "Chief marketing officers at work" will help C-level executives and others who interface and collaborate with marketing departments to understand how marketing drives growth at both startup and enterprise levels, and how marketing has moved from art to science. Trends in digital marketing, analytics, and marketing automation have pushed marketing to adopt data-driven approaches that would make a CFO's head swim.

330p giangdongdinh 30-05-2024 3 2   Download

The main objective of this paper is to use the data-driven approach to predict and study the factors affecting the compressive strength of steel fiber concrete. Therefore, six machine learning (ML) models were evaluated against a database of 166 samples and ten input variables, including Cement content, Water content, Silica fume content, Steel fiber content, Coarse aggregate content, Sand content, Superplasticizer content, Fiber diameter, Fiber length, Fly ash content.

15p viohoyo 25-04-2024 3 2   Download

The purpose of this study is to emphasize the important role of people approach in the revolution of smart manufacturing and industry 4.0. Two hundred years ago, industrial revolution in the West transformed or evolved from water-driven or water-driven mechanical production, and to date, we are in an era characterized by cyber-physical systems. This transformation or industrial revolution was driven by people who used creative minds to solve problems. Rapid development of technology has brought about many disruptive technologies such as big data, artificial intelligence and cloud computing.

6p longtimenosee09 08-04-2024 5 2   Download

C++ Programming: From Problem Analysis to Program Design started as a collection of brief examples, exercises, and lengthy programming examples to supplement the books that were in use at our university. It soon turned into a collection large enough to develop into a text. The approach taken in this book is, in fact, driven by the students’ demand for clarity and readability. The material was written and rewritten until the students felt comfortable with it. Most of the examples in this book resulted from student interaction in the classroom.

1392p longtimenosee08 31-03-2024 2 1   Download

Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease signatures.

14p vibransone 28-03-2024 2 2   Download

Precision oncology, defined as treatment of patients with targeted therapies matched to specific molecular alterations, has entered routine clinical practice. Particularly in patients with advanced cancer or hemato‑ logic malignancies, for whom no further standard therapies are available, this approach is increasingly applied as last resort option outside of the approved indication.

7p visharma 20-10-2023 4 2   Download

Part 2 book "PCR Technology - Current innovations" includes content: Assay design for Real-Time qPCR, primer design for large scale multiplex PCR and arrayed primer extension, hypothesis driven approaches to multivariate analysis of qPCR data, Experiment Design, data management, and univariate statistical analysis of gene expression data obtained by real time quantitative PCR,.... and other contents.

261p oursky06 17-10-2023 3 1   Download

Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

12p viberkshire 09-08-2023 8 4   Download

It is common that cancer patients have different molecular signatures even though they have similar clinical features, such as histology, due to the heterogeneity of tumors. To overcome this variability, we previously developed a new approach incorporating prior biological knowledge that identifies knowledge-driven genomic interactions associated with outcomes of interest.

11p visteverogers 24-06-2023 5 3   Download

Field operation and preparation (FO & P) processes in the outages of nuclear power plants (NPPs) involve tedious team coordination processes. This study proposed a predictive NPP outage control method through computer vision and data-driven simulation. The proposed approach aims at automatically detecting abnormal human/ team behaviors and predicting delays during outages.

11p vironald 15-12-2022 13 5   Download

In this paper, we present a reduced-order modeling approach to study the Molten Salt Fast Reactor (MSFR). Our approach is nonintrusive and based on the proper orthogonal decomposition method. We include adaptivity in selecting the sampling points both in time and parameter space. Steady-state and transient analysis were both performed using the developed models.

14p vironald 15-12-2022 11 4   Download

Three main approaches have been generally proposed to the flood forecasting including: i) physical models, ii) statistical models and iii) data-driven models. The first approaches, also called hydraulic models, aims to reproduce the hydrological processes in a physically realistic manner and is based on mathematical formulas of conservation of mass, momentum and energy.

3p vipriyankagandhi 27-07-2022 4 1   Download

The paper describes and motivates the approach, presenting a methodology for modelling a user’s context, and its collection of optimisation algorithms for exploring the space of solutions, and compares and evaluates the resulting algorithms using multiple real world data sets.

21p guernsey 28-12-2021 16 3   Download

This study aims to explore the approaches of population estimation of Rohingya migrants using remote sensing and machine learning. Two di®erent approaches of population estimation viz., (i) data-driven approach and (ii) satellite image-driven approach have been explored. A total of 11 machine learning models including Arti¯cial Neural Network (ANN) are applied for both approaches.

17p redemption 20-12-2021 9 0   Download

Bioassessment of surface waters is one of the most important approaches to predict the deterioration of ecosystems and achieve environmental sustainability according to the application of the European Water Framework Directive. The present review emphasizes the importance of the bioassessment of freshwater quality especially running waters based on diatom metrics. Nutrient enrichment and hydromorphological alternation driven by human activities are the main factors for the ecological compromise of freshwater ecosystems.

18p tudichquannguyet 29-11-2021 10 1   Download

To maintain the quality and final release cycle of software, Software Testing become a key challenges one can face. Software testing play important role from the beginning till the release of application. Current paper focus on tradition testing phase along with enhanced data driven and pipeline integrated techniques to maintain best quality of software.

4p spiritedaway36 28-11-2021 16 2   Download

This paper proposes a data-driven parameter tuning of the internal model controllers (IMC) in cascade architecture with minimum phase processes. In order to perform the parameter tuning of the IMC, we utilize the fictitious reference iterative tuning (FRIT), which enables us to obtain the desired parameter of the controllers with only one-shot experiment data.

12p vilarrypage 19-11-2021 22 3   Download

A widely applied approach to extract knowledge from high-throughput genomic data is clustering of gene expression profiles followed by functional enrichment analysis. This type of analysis, when done manually, is highly subjective and has limited reproducibility. Moreover, this pipeline can be very time-consuming and resource-demanding as enrichment analysis is done for tens to hundreds of clusters at a time. Thus, the task often needs programming skills to form a pipeline of different software tools or R packages to enable an automated approach.

17p vitzuyu2711 29-09-2021 6 1   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers. Moreover, corresponding confidence intervals of predicted values are also available owing to the probabilistic nature of the method, thus helping engineers design conservative solutions.

11p chauchaungayxua12 09-07-2021 19 2   Download