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Wyniki wyszukiwania dla: training within industry
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Digitalization of Building Site Management in the Construction Industry
PublikacjaWith Industry 4.0, a digital transformation has started in the construction industry. However, 4.0 technologies have difficulties in the integration of digital systems due to the diversity and complexity of the processes in the construction industry. Multidisciplinary work in architectural projects and the need for high productivity require digital renovation planning in the construction industry. The application of the technologies...
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Nanofiltration in the food industry
PublikacjaNanofiltration (NF), as a pressure-driven membrane process, has been widely demonstrated to have great potential for food processing applications. There are several advantages of this membrane process over traditional methods that makes NF suitable for food processing, such as the low thermal damage to the product, higher aroma retention, lower energy consumption, and low maintenance costs. In this chapter, according to the recent...
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eNauczanie PG - introductory training for students
Kursy OnlineThe eNauczanie platform, an introductory training for foreign students.
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Management in space industry WiMiO
Kursy Online -
CIP Security Awareness and Training: Standards and Practice
PublikacjaThese are critical infrastructure employees who have access to the critical cyber assets in the first place. This situation is well recognized by international and national standardization bodies which recommend security education, training and awareness as one of the key elements of critical infrastructure protection. In this chapter the standards are identified and their relevant areas are described. A practical implementation...
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CIP Security Awareness and Training: Standards and Practice
PublikacjaThese are critical infrastructure employees who have access to the critical cyber assets in the first place. This situation is well recognised by international and national standardisation bodies which recommend security education, training and awareness as one of the key elements of critical infrastructure protection. In this chapter the standards are identified and their relevant areas are described. A practical implementation...
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Baltic Phytoremediation - Training Module
Kursy OnlineThis is an on-line training course developed in BAPR - Baltic Phytoremediation project, co-financed by Interreg South Baltic Programme 2014 - 2020. Here, You can learn about the basics and potential of phytoremediation to clean soil and see the real-life applications of this technology. In order to be enrolled to this course, you’ll need to create a local account with the user ID provided. When your account is generated, you...
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eNauczanie - introductory training for students - 2020/2021
Kursy OnlineeNauczanie - introductory training for students - 2020/2021
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Exploration of Creativity Techniques in Software Engineering in Training-Application-Feedback Cycle
PublikacjaCreativity research has proposed about a hundred and fifty creativity techniques. The question is whether they can be applied in software engineering for creativity training or directing creativity in software projects. This paper aims at answering this question via a quasi-experiment conducted in Training-Application-Feedback cycle in which participants express their opinions about selected creativity techniques after training...
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Training of Deep Learning Models Using Synthetic Datasets
PublikacjaIn order to solve increasingly complex problems, the complexity of Deep Neural Networks also needs to be constantly increased, and therefore training such networks requires more and more data. Unfortunately, obtaining such massive real world training data to optimize neural networks parameters is a challenging and time-consuming task. To solve this problem, we propose an easy-touse and general approach to training deep learning...
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A sector-an industry? Definitional challenges in economic sciences
Publikacjathe aim of our paper is to present definitional challenges that we as scholars and teachers face while attempting to relate to a sector and an industry terms in economic analyses and from strategic management perspective. we employ secondary research and analyse the state of the academic discourse and common usages of the above terms. we argue that for an economic statistician classifications should be consistent and highlight...
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Factors Affecting the Effectiveness of Military Training in Virtual Reality Environment
PublikacjaIn this paper, we explored the factors influencing the effectiveness of military trainings performed in a virtual reality environment. The rationale for taking up the topic is the fact that such trainings are often conducted under specific operational procedures. These procedures may create rigorous frameworks for all elements of the learning environment, including the teacher’s performance. Therefore, to ensure the most conducive...
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Training Services in Small and Medium-sized Enterprises: Evidence from Poland
PublikacjaIn the knowledge-based economy knowledge and skills are becoming more and more significant for the success of companies. This applies also to firms from small and medium-sized enterprises (SMEs) sector. As large companies in many cases posses special divisions devoted to trainings, they normally have no problems with updating the knowledge and skills of their employees. The situation is different with regard to SMEs, which often...
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Assessing Industry 4.0 Features Using SWOT Analysis
PublikacjaThis paper assesses some features of industry 4.0 by using SWOT analysis that affects the adoption and implementation of industry 4.0. The paper identifies the strengths, weaknesses, opportunities, and threats related to industry 4.0. By the consideration of these four groups of factors, the industrial practitioners can understand how to implement industry 4.0. Moreover, industrial practitioners can use the strengths/opportunities...
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Resource constrained neural network training
PublikacjaModern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...
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Accounting in Power Industry [23/24]
Kursy OnlineThe course is for Energy Technologies students
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Energy Consumption Analysis Methods in Industry
PublikacjaThis paper overviews applied methods to evaluate energy consumption in Industry. The most important law regulations are presented, which decide on the necessity to conduct an effec - tive energetic economy. Basic assumptions are defined to calculate direct and cumulative energy consumption. The pros and cons of using each method are presented.
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Real and Virtual Instruments in Machine Learning – Training and Comparison of Classification Results
PublikacjaThe continuous growth of the computing power of processors, as well as the fact that computational clusters can be created from combined machines, allows for increasing the complexity of algorithms that can be trained. The process, however, requires expanding the basis of the training sets. One of the main obstacles in music classification is the lack of high-quality, real-life recording database for every instrument with a variety...
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Relacje międzyorganizacyjne w dobie Industry 4.0
PublikacjaStrukturę opracowania zbudowano w odniesieniu do zagadnienia relacji międzyorganizacyjnych. Omawianą kwestię osadzono w obecnych realiach Industry 4.0. Celem monografii jest omówienie roli Industry 4.0 w budowaniu i rozwoju relacji międzyorganizacyjnych oraz w kształtowaniu ich specyfiki. W pięciu rozdziałach przedstawiono aspekty „sieciowego” powiązania różnych podmiotów i jednostek na gruncie teorii zarządzania. Opracowanie otwiera...
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Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters
PublikacjaThis paper focuses on convolution neural network quantization problem. The quantization has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process of quantization is associated with the reduction of the matrix dimension via limited precision of the numbers. However, the training and inference stages of deep learning neural network are limited by the space of the memory and a...