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Classification of projects
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Stern weather states and changes in government regulations and laws categorized among the least important causes. To illustrate the implementation of the classification impact index model and to evaluate and quantify change orders impact on contractor’s cash flow, a case study is presented in this paper using data of real case study obtained from reputable construction company in Jordan involved in the construction of basic education school building. The project commenced from November 2012 till December 2013.
14p
longtimenosee10
26-04-2024
2
1
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In study "Colorization of black-and-white aerial photographs using deep learning for object-based image analysis land use classification" deep learning techniques to simulate the color channels of a grayscale image are adopted. Then, object-based image analysis is used to classify land use, both colorized images from deep learning and the original black-and-white image, to evaluate the capabilities of colorized images for land use classification. This study uses aerial photographs from the WWS project in 1954, Maha Sarakham province.
10p
tukhauquantuong1011
22-04-2024
3
2
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Part 1 book "Information security policies procedures - A practitioners reference" includes content: Introduction, why manage this process as a project; planning and preparation, developing policies; asset classification policy; developing standards; developing procedures; creating a table of contents; understanding how to sell policies, standards, and procedures.
191p
haojiubujain09
21-11-2023
9
3
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Part 1 of ebook "Practical data analysis: Transform, model, and visualize your data through hands-on projects, developed in open source tools" provides readers with contents including: getting started; working with data; data visualization; text classification; similarity-based image retrieval; simulation of stock prices; predicting gold prices; working with support vector machines;...
173p
tieulangtran
28-09-2023
3
1
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Ebook Data mining and statistics for decision making: Part 2 presents the following contents: Chapter 10 association analysis, chapter 11 classification and prediction methods, chapter 12 an application of data mining: scoring, chapter 13 factors for success in a data mining project, chapter 14 text mining, chapter 15 web mining, appendix A elements of statistics, appendix B further reading.
398p
haojiubujain01
06-06-2023
5
1
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This project will investigate of the effects of applying scientific modes of analysis to the process of artistic production. Methodologies derived from the disciplines of classification and taxonomy will be used to examine the formal relationships between sculptural objects in respect to their conceptual and actual development. Evolutionary theory will be used as a model in this analysis. The project will investigate the complexity of the system and explore the effect of the intervention of scientific methods on artistic production.
296p
runthenight07
01-03-2023
4
2
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This project examines how the moving image can be used as a vehicle of memory, to express what is lost, what is gained and what changes occur in relation to personal family migratory history—a messy and ambiguous process. This practice-led research project investigates video work, using filmed materials and objects, to focus attention on the non-linear aspect of time as it is subjected to individual and collective memories. The outcomes highlight the sometimes disconnecting and unpredictable experiences of migration, storytelling, and memory.
62p
runthenight04
02-02-2023
4
1
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INSIDER is an EU Horizon 2020 research project, within the topic NFRP-7 of the EURATOM programme, that aims to develop and validate a new and improved integrated characterization methodology and strategy for the nuclear decommissioning and dismantling operations (D&D) of nuclear power plants, and post-accidental land remediation of nuclear facilities under constrained environments.
15p
vironald
15-12-2022
16
5
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The rapidly growing world population puts considerable pressure on the scarce natural resources, and there is an urgent need to develop more efficient and sustainable agricultural production systems to feed the growing population. This should be based on an initial assessment of the physical and biological potential of natural resources, which can vary greatly. The agroecological zonation (AEZ) approach presents a useful preliminary evaluation of this potential, and ensures that representation is maintained at an appropriate biogeographic scale for regional sustainable development planning.
10p
runordie3
27-06-2022
10
2
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The ability to predict the interaction of drugs with target proteins is essential to research and development of drug. However, the traditional experimental paradigm is costly, and previous in silico prediction paradigms have been impeded by the wide range of data platforms and data scarcity.
10p
vitzuyu2711
29-09-2021
11
1
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Computer vision models have been proven to be productive as well as effective for concrete crack detection. This study develops an alternative model based on image edge detection, projection integral, and logistic regression approaches for recognizing and categorizing cracks on concrete surface. The integrated model has been developed using Visual C#.NET and tested with 200 real-world image samples. Experimental results point out that the new model has attained a good predictive performance with a classification accuracy of 92.5%.
7p
nguaconbaynhay12
01-06-2021
24
1
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This study examines the association of both pain severity and within-person pain variability with physical activity (PA) in older adults with osteoarthritis (OA). Methods: Data from the European Project on OSteoArthritis were used. At baseline, clinical classification criteria of the American College of Rheumatology were used to diagnose OA in older adults (65–85 years).
9p
vivermont2711
28-01-2021
10
2
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Data-driven cell classification is becoming common and is now being implemented on a massive scale by projects such as the Human Cell Atlas. The scale of these efforts poses a challenge.
8p
viconnecticut2711
29-10-2020
12
1
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It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome sequencing projects, such as the exponentially-growing NCBI RefSeq bacterial genome database.
23p
vicolorado2711
22-10-2020
10
0
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Ebook "Project project management - A systems approach to planning, scheduling, and control" present the content: understanding project management; the project manager–line manager interface; defining the functional manager’s role; defining the executive’s role; the downside of project management; project-driven versus non–project-driven organizations; classification of projects....
1122p
hoangvietq2000
03-09-2020
35
6
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Ebook Aerodynamic data of space vehicles: Part 1 present content introduction; the discipline aerodynamics; classification and project data of space vehicles; aerodynamic data of non-winged re-entry vehicles (RV-NW) - capsules and probes.
131p
kethamoi6
01-07-2020
10
2
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This paper is an application of multistage statistical process control for managing the software development process. The suggested methodology is a combination of process performance models and control charts.
12p
kelseynguyen
27-05-2020
31
2
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The resource-constrained project scheduling problem (RCPSP) is a well-known and widely studied topic. The underlying problem assumes that non-preemptions and that constant resources are restrictions imposed on project activities, which are to be scheduled, subject to precedence relation and limited resource constraints.
18p
kelseynguyen
27-05-2020
7
2
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This paper surveys studies of RCPSPs and RCMPSPs under consideration of four categories of project activities, simply recorded as categories A, B, C, and D. Category A refers to activities can be performed using fixed resources along The Y-axis over fixed durations along The X-axis, and cannot be interrupted
22p
kelseynguyen
27-05-2020
9
2
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The object-oriented image analysis delineates segments of homogeneous image areas. The delineated segments are classified to real world objects based on spectral, textural, neighbourhood an object specific shape parameter. Object-oriented classification of highresolution imagery is a challenging job for the remote sensing community. Identification of the object-oriented classes based on objects leads to better classification. In this project, the object-oriented classification for tomato in Shoolagiri and surrounding villages of Krishnagiri district in Tamil Nadu, India.
8p
caygaocaolon3
27-02-2020
12
0
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