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1

Adamczewski, Martine. Vectorisation, analyse et optimisation d'un code bidimensionnel eulérien. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 1986.

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2

Jaana, Laiho, Wacker Achim, and Novosad Tomáš, eds. Radio network planning and optimisation for UMTS. Hoboken, N.J: Wiley, 2005.

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3

J, Nawrocki Maciej, Dohler Mischa, and Aghvami A. Hamid, eds. Understanding UMTS radio network modelling, planning and automated optimisation: Theory and practice / edited by Maciej J. Nawrocki, Mischa Dohler, A. Hamid Aghvami. Chichester: John Wiley & Sons, 2006.

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4

Wille, Volker, and Phil Pickering. WCDMA Performance Optimisation. Wiley-Interscience, 2007.

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5

Bonaventura, Luca, René Redler, and Reinhard Budich. Earth System Modelling - Volume 2: Algorithms, Code Infrastructure and Optimisation. Springer, 2011.

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6

Petoumenos, Pavlos. International Workshop on Code Optimisation for Multi and Many Cores. Association for Computing Machinery, 2017.

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7

Radio network planning and optimisation for UMTS. 2nd ed. Chichester, UK: John Wiley & Sons, 2004.

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8

AWAKEN THE SLUMBERING GODDESS: THE LATENT CODE OF THE HINDU GODDESS ARCHETYPES. BookSurge Publishing, 2007.

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9

Aghvami, Hamid, Mischa Dohler, and Maciej Nawrocki. Understanding Umts Radio Network Modelling, Planning and Automated Optimisation. Wiley & Sons, Incorporated, John, 2006.

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10

Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores. Association for Computing Machinery, 2015.

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11

Proceedings of the First International Workshop on Code OptimiSation for MultI and Many Cores. Association for Computing Machinery, 2013.

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12

Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice. Wiley, 2006.

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13

Aghvami, Hamid, Mischa Dohler, and Maciej Nawrocki. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice. Wiley & Sons, Limited, John, 2006.

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Aghvami, Hamid, Mischa Dohler, and Maciej Nawrocki. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice. Wiley & Sons, Incorporated, John, 2006.

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15

Repole, Donato. Research of Parallel Computing Neuro-fuzzy Networks for Unmanned Vehicles. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226922.

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The Doctoral Thesis illustrates the author’s research in the field of VHDL based ‘neuro-fuzzy controllers’. The Thesis examines a novel software tool for the high-level ‘neuro-fuzzy controller’ description capable of executing controller simulations, optimisation tasks, performing learning / training tasks, and exporting the controller in VHDL code. The author introduces a design strategy that is looking for developing solutions for complex controller architecture of mobile robotic vehicles (of any nature) or even for multiple industrial application. This work enables further investigative research into autonomous robotics, particularly into the physical implementation of an autonomous aerial unmanned vehicle from an inexpensive RC plane.
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