The widespread of machine learning and deep learning in commercial and industrial settings has seen a dramatic up-rise. While the traditional software engineering techniques have overlap between machine learning model development, fundamental differences exist which affect both scientific disciplines. The current state-of-the-art argues that most challenges in software engineering of deep learning applications stem from poorly defined software requirements, tightly coupled architecturesand hardware-induced development issues. However the majority of the current work on this topic stems from literature reviews and requires validation in an industrial context. The work aims to validate the findings of the academia through the development of the autoencoder model for gearbox fault detection. The model has been developed as a part of the ongoing campaign from Volvo Construction Equipment towards introducing AI-based solution in quality control and production. Findings of the work are mostly aligned with the current state-of-the-art, where poorly defined software requirements and hardware-induced issues have been experienced, but the tightly-coupled architecture did not characterize the final product. Along with the confirmation of the previous findings, the work presents a recommendation for practitioners of software engineering for deep learning models in the form of technological rule which addresses the hardware-induced issues of development through the contribution of a method for calculating the memory requirements of the model and batch during the training phase. / <p>Collaboration with Volvo Construction Equipment</p>

The object of diploma thesis is a construction technology project capacity extension of nursery school Zvidalek in Slavkov u Brna. Work includes facilities of building site, technological rule of waterproofing, schedule, item budget, plan of checks and tests, design of machinery, safety and health at work and economic, time and transport evaluation of two versions of ceiling construction.

The aim of a master's thesis is to work out a constructional technology project of Moravian regional archive in Brno. The building consists of two parts. First one, the administrative part, is formed by steel main structure and the second one, the depot, which will be used for storage of archivals is formed by reinforced concrete monolithic skeleton. The whole construction is based on bored reinforced concrete piles and located in the undeveloped area at sloping terrain. This thesis will include a progress of realization this object, design machine group, technological rule of the selected phase, financial and timetable plan of realization.

This thesis addresses the construction and technological renovation project ESF MU in Brno. The building will be solved in three main stages. The first phase is the demolition work, the second is the renovation of interier and the third is the inovation of skylight. Reconstruction will take place in the 1st floor and 2nd floor especially in the hall and library. The building is a reinforced concrete skeleton with monolithic reinforced concrete ceiling.

The subject of this diploma thesis is the architectural and technological modernization project object T8 the Technical University in Brno. Reconstruction of the partial operation affects investor during reconstruction and access to various floors of the building which is secured by a connecting bridge passing over five floors of the building and articulated halls adjacent buildings. The aim is to design technology solutions, spatio-temporal, financial and legislative aspects, taken on the basis of project documentation.

The object of the diploma thesis is a preparing and organization scheme of residence company MEgA. The thesis deals with facilities of a bulding site, safety devices and safety measures at work, control and pilot plans, a design of the machinery, budget and schedule, risk at the work and specialization through earthwork main road.

This master's thesis deals with the reconstruction of the railway station in Šumperk. On this subject is processed the schedule, site equipment, inspection and test plan, budget, design of mechanical assemblies, ensuring the health of workers at work with hazardous waste