Äóäêèí Àëåêñàíäð Àðñåíòüåâè÷
Ïîèñê ïî ñàéòó
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Äëÿ ñîòðóäíèêîâ ÎÈÏÈ
Äëÿ ñîòðóäíèêîâ ÎÈÏÈ ÍÀÍ Áåëàðóñè 
Äëÿ îáðàùåíèé
Äëÿ îáðàùåíèé

ïðîñèì ïðèíÿòü ó÷àñòèå â îïðîñåçàïîëíèòü àíêåòó

Äóäêèí Àëåêñàíäð Àðñåíòüåâè÷

Äóäêèí Àëåêñàíäð Àðñåíòüåâè÷

13.10.1950 - 16.10.2022

Ó÷¸íàÿ ñòåïåíü: Äîêòîð òåõíè÷åñêèõ íàóê

Ó÷åíîå çâàíèå: Ïðîôåññîð 

×ëåíñòâî â íàó÷íûõ îáùåñòâàõ: ×ëåí Áåë. îáùåñòâà ïî èññëåäîâàíèþ îïåðàöèé, Áåë. îòäåëåíèÿ ìåæäóíàðîäíîãî îáùåñòâà íåéðîííûõ ñåòåé è Áåë. àññîöèàöèè ïî àíàëèçó è ðàñïîçíàâàíèþ èçîáðàæåíèé (ÁÀÀÐÈ)

Îáëàñòè íàó÷íûõ èíòåðåñîâ:

  • öèôðîâàÿ îáðàáîòêà ñèãíàëîâ è èçîáðàæåíèé;
  • ðàñïîçíàâàíèå îáðàçîâ;
  • àðõèòåêòóðû è ìîäåëè ñèñòåì êîìïüþòåðíîãî çðåíèÿ è âûñîêîïðîèçâîäèòåëüíîé îáðàáîòêè èíôîðìàöèè.
  • ñèñòåìû àâòîìàòèçèðîâàííîãî ïðîåêòèðîâàíèÿ áîëüøèõ èíòåãðàëüíûõ ñõåì.

Ä-ð òåõí. íàóê (2010, òåìà äèñ. «Ìåòîäû îáðàáîòêè è àíàëèçà öèôðîâûõ èçîáðàæåíèé òîïîëîãè÷åñêèõ ñëîåâ èíòåãðàëüíûõ ìèêðîñõåì»), êàíä. òåõí. í. (1987, òåìà äèñ.: «Ñèíòåç áûñòðîäåéñòâóþùèõ äèñêðåòíûõ óñòðîéñòâ â áàçèñå ÏËÌ íà îñíîâå àëãîðèòìîâ ðåøåíèÿ ìàòðè÷íûõ çàäà÷ ãðóïïèðîâàíèÿ»). Ñòàðøèé íàó÷íûé ñîòðóäíèê (1991, ñïåö. «Ñèñòåìû àâòîìàòèçàöèè ïðîåêòèðîâàíèÿ»), äîöåíò (2010,ñïåö.»Èíôîðìàòèêà è âû÷èñëèòåëüíàÿ òåõíèêà»), ïðîôåññîð (2016, ñïåö. «Èíôîðìàòèêà è âû÷èñëèòåëüíàÿ òåõíèêà»).

Îêîí÷èë ÑØ ¹1 ã. Ãîðîäêà (1968); ôèçìàò Âèòåáñêîãî ãîñ. ïåä. èí-òà èì. Ñ.Ì. Êèðîâà (â í. âð. Âèòåáñêèé ãîñóäàðñòâåííûé óíèâåðñèòåò èì. Ï.Ì.Ìàøåðîâà)(1972) ñ îòëè÷èåì, ñïåöèàëüíîñòü «ìàòåìàòèêà»;àñïèðàíòóðó (1981) ÈÒÊ ÀÍÁ. Ñ 1972 ó÷èòåëüñòâîâàë â ×àøíèêñêîì ðàéîíå. Ñ 1976 ñëóæèë â Ñîâåòñêîé Àðìèè. Ñ 1978 â ÈÒÊ â ëàáîðàòîðèè ñèñòåìíîãî ïðîãðàììèðîâàíèÿ è ëîãè÷åñêîãî ïðîåêòèðîâàíèÿ, ñ 1981 ì.í.ñ., ñ 1987 í.ñ., ñ 1988 ñ.í.ñ. Ñ 1989 ñ.í.ñ. ëàáîðàòîðèè ïðîáëåì ïîñòðîåíèÿ ÑÀÏÐ ÑÁÈÑ Áðåñòñêîãî îòäåëåíèÿ Èíñòèòóòà, ñ 1994 â.í.ñ. ëàáîðàòîðèè èäåíòèôèêàöèè ñèñòåì. Îäíîâðåìåííî ñ 1989 â ÁÍÒÓ è ÁÃÓÈÐ, ñ 2008 ïî 2014  çàâ. ôèëèàëîì êàôåäðû ÝÂÌ ÁÃÓÈÐ ïðè ÎÈÏÈ ÍÀÍ Áåëàðóñè, ñ 2010 ãë.í.ñ,, ñ 2015 çàâ. ëàáîðàòîðèåé.
 

Íàó÷. ðàáîòû ïî àâòîìàòèçàöèè ïðîåêòèðîâàíèÿ äèñêðåòíûõ óñòðîéñòâ è öèôðîâûõ ÑÁÈÑ, îáðàáîòêå âèçóàëüíîé èíôîðìàöèè â ñèñòåìàõ êîìïüþòåðíîãî çðåíèÿ. Ðàçðàáîòàë ìåòîäû ïîñòðîåíèÿ áûñòðîäåéñòâóþùèõ ñõåì íà áàçå ìàòðè÷íûõ ÑÁÈÑ, ñ èñïîëüçîâàíèåì êîòîðûõ ñîçäàí ðÿä ÏÏÏ è ñèñòåì ïðîåêòèðîâàíèÿ óñòðîéñòâ óïðàâëåíèÿ ÑÁÈÑ, âíåäðåííûõ íà ïðåäïðèÿòèÿõ ýëåêòðîííîé ïðîìûøëåííîñòè Áåëàðóñè è Ðîññèè (ÖÊÁ «Àëìàç» è ÖÍÈÈ «Àãàò», ÏÊÁ «Àëüôà», Ì×Ç «Ëó÷» è äð.); èíôîðìàöèîííóþ òåõíîëîãèþ îáðàáîòêè, àíàëèçà è èäåíòèôèêàöèè âèäåîèçîáðàæåíèé ýëåìåíòîâ ýëåêòðîííûõ èçäåëèé äëÿ çàäà÷ ïðîåêòèðîâàíèÿ è êîíòðîëÿ èçãîòîâëåíèÿ èíòåãðàëüíûõ ñõåì, êîòîðàÿ ðåàëèçîâàíà â àâòîìàòèçè-ðîâàííîé ñèñòåìå âîññòàíîâëåíèÿ òîïîëîãèè ìåòàëëèçàöèè èç îöèôðîâàííîãî èçîáðàæåíèÿ ñëîåâ ìåòàëëèçàöèè êðèñòàëëà èíòåãðàëüíîé ñõåìû è âíåäðåíà â êîíöåðíå «Ïëàíàð» è ÍÏÎ «Èíòåãðàë». 

ßâëÿëñÿ íàó÷íûì ðóêîâîäèòåëåì çàäàíèé ðÿäà ãîñóäàðñòâåííûõ íàó÷íûõ è íàó÷íî-òåõíè÷åñêèõ ïðîãðàìì: «Ðàçðàáîòàòü ïðîãðàììíûå ñðåäñòâà êëàññèôèêàöèè äåôåêòîâ òîïîëîãèè, îáíàðóæèâàåìûõ â ðåçóëüòàòå àâòîìàòè÷åñêîãî êîíòðîëÿ òîïîëîãèè ïîëóïðîâîäíèêîâûõ ïëàñòèí», ÃÍÒÏ «Èíôîðìàöèîííûå òåõíîëîãèè», çàäàíèå  2-05; «Ðàçðàáîòàòü ýêñïåðèìåíòàëüíûé îáðàçåö íåéðîñåòåâîé ñèñòåìû ìîíèòîðèíãà ñîñòîÿíèÿ è ïîâåäåíèÿ ïîäñèñòåì êîñìè÷åñêèõ àïïàðàòîâ ïî òåëåìåòðè÷åñêèì äàííûì äëÿ íàçåìíîãî êîìàíäíî-èçìåðèòåëüíîãî êîìïëåêñà»,  ÍÒÏ Ñà «Ìîíèòîðèã-Ñû, çàäàíèå ¹ 6ÌÑÃ/13-222; «Ðàçðàáîòêà òåîðåòè÷åñêèõ îñíîâ è òåõíîëîãèé ïîñòðîåíèÿ êîìïüþòåðíûõ ñèñòåì äëÿ èíòåëëåêòóàëüíîãî àíàëèçà äàííûõ íà îñíîâå ðàñïîçíàâàíèÿ îáðàçîâ è àíàëèçà èçîáðàæåíèé», çàäàíèå 1.7.04 ÃÏÍÈ «Èíôîðìàòèêà, êîñìîñ è áåçîïàñíîñòü», ïîäïðîãðàììà (1); çàäàíèå ÃÏÍÈ «Ôèçè÷åñêîå ìàòåðèàëîâåäåíèå,  íîâûå ìàòåðèàëû è òåõíîëîãèè», à òàêæå ðåñïóáëèêàíñêèõ è ìåæäóíàðîäíûõ ïðîåêòîâ, ôèíàíñèðóåìûõ Áåëîðóññêèì ðåñïóáëèêàíñêèì ôîíäîì ôóíäàìåíòàëüíûõ èññëåäîâàíèé.

Ñåêðåòàðü êîîðäèíàöèîííîãî ñîâåòà ÃÊÖÍÒÏ «Èíôîðìàöèîííûå è êîñìè÷åñêèå òåõíîëîãèè» (2011 -  ìàé 2016). ×ëåí äâóõ ñîâåòîâ ïî çàùèòå äèññåðòàöèé: Ä02.15.01 ïðè ÁÃÓÈÐ è Ä 01.04.01 ïðè ÎÈÏÈ ÍÀÍ Áåëàðóñè, ×ëåí ãîñóäàðñòâåííîãî  ýêñïåðòíîãî ñîâåòà ¹ 12, ÷ëåí  ó÷åíîãî ñîâåòà ÎÈÏÈ ÍÀÍ Áåëàðóñè, ÷ëåí íàó÷íîãî ñîâåòà «Èíôîðìàöèîííûå òåõíîëîãèè è ñèñòåìû» ÎÈÏÈ ÍÀÍ Áåëàðóñè.

×ëåí ðåäêîëëåãèé æóðíàëîâ «Journal of Research and Applications in Agricultural Engineering» (Ïîëüøà)   è  «Æóðíàë Áåëîðóññêîãî ãîñóäàðñòâåííîãî óíèâåðñèòåòà.Ìàòåìàòèêà. Èíôîðìàòèêà».

Ïðåäñåäàòåëü îðãàíèçàöèîííûõ êîìèòåòîâ ìåæäóíàðîäíûõ êîíôåðåíöèé «Pattern recognition and Information Processing» (PRIP’1999, PRIP’2005, PRIP’2011) è «Neural Networks and Artificial Intelligence» (ICNNAI’01, ICNNAI,03, ICNNAI’08, ICNNAI’12), ÷ëåí ìåæäóíàðîäíûõ ïðîãðàììíûõ êîìèòåòîâ êîíôåðåíöèé PRIP ICNNAI, «IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications»   (IDAACS 2013-2019), Íåéðîèíôîðìàòèêà.

Ïðîôåññîð ÁÃÓÈÐ ïî ñîâìåñòèòåëüñòâó, ïðåäñåäàòåëü ÃÝÊ ÁÃÓ, ÁðÃÒÓ è ÁÍÒÓ, Ïðåäñåäàòåëü ÃÀÊ äëÿ ïðîâåäåíèÿ èòîãîâîé àòòåñòàöèè àñïèðàíòîâ (äîêòîðàíòîâ, ñîèñêàòåëåé) (ñì. Ïîäãîòîâêà êàäðîâ).

Îïóáëèêîâàë ñâûøå 240 ïå÷àòíûõ ðàáîò, â òîì ÷èñëå äâå ìîíîãðàôèè, òðè  ñáîðíèêà ìàòåðèàëîâ ïî ìàòåìàòè÷åñêîìó îáåñïå÷åíèþ ÝÂÌ, áîëåå 80 ñòàòåé â íàó÷íûõ æóðíàëàõ è ñáîðíèêàõ íàó÷íûõ òðóäîâ. 

Ñïèñîê ïóáëèêàöèé çà 1980-2015

Ñïèñîê ïóáëèêàöèé çà 2016-2019

Ïðåäñåäàòåëü îðãàíèçàöèîííûõ êîìèòåòîâ ìåæäóíàðîäíûõ êîíôåðåíöèé «Ðàñïîçíàâàíèå îáðàçîâ è îáðàáîòêà èíôîðìàöèè» (1999, 2005, 2011) è «Íåéðîííûå ñåòè è èñêóññòâåííûé èíòåëëåêò» (2001, 2003, 2008).

Ïîñëåäíèå ïðîåêòû
Çàâåðø¸ííûå ïðîåêòû

Èçáðàííûå ïóáëèêàöèè:

Ìîíîãðàôèÿ

1. Äóäêèí, À.À. Îáðàáîòêà èçîáðàæåíèé â ïðîåêòèðîâàíèè è ïðîèçâîäñòâå èíòåãðàëüíûõ ñõåì / À.À. Äóäêèí, Ð.Õ. Ñàäûõîâ. – Ìèíñê: ÎÈÏÈ ÍÀÍ Áåëàðóñè, 2008.- 270 ñ.

2. Special Areas Detection and Recognition on Agricultural Fields Images / V. Ganchenko, R. Sadykhov, A. Doudkin, Al. Petrovsky, T. Pawlowski // Digital Image and Signal Processing for Measurement Systems; Ed. by Richard Duro, Fernando Pena; River Publishers. – 2012. – Ch. 8. – P. 201-233.


Ñòàòüè â æóðíàëàõ

Agricultural Vegetation Monitoring Based on Aerial Data Using Convolutional Neural Networks / V Ganchenko, A Doudkin // Optical Memory and Neural Networks 28 (2), 129-134.

Spacecraft Telemetry Time Series Forecasting With Ensembles of Neural Networks / A Doudkin, Y Marushko, J Owsiński, T Pawlowski // 2019 10th IEEE International Conference on Intelligent Data Acquisition and... .

The parametrically adjusted hyperspectral data compression algorithm based on wavelet decomposition /DY Pertsau, AA Doudkin// Doklady BGUIR, 26-31.

Fuzzy Morphological Filters for Processing of Printed Circuit Board Images / A Inyutin, A Doudkin // International Conference on Pattern Recognition and Information Processing … .

Image Semantic Segmentation Based on Convolutional Neural Networks for Monitoring Agricultural Vegetation / V Ganchenko, A Doudkin // International Conference on Pattern Recognition and Information Processing …

Ensembles of Neural Networks for Forecasting of Time Series of Spacecraft Telemetry /  E. E. Marushko, A. A. Doudkin // Optical Memory and Neural Networks, 2017, Vol. 26, No. 1, pp. 47–54. © Allerton Press, Inc., 2017.

Doudkin,, Alexander. Hyperspectral Data Compression Framework for Earth Remote Sensing Objectives /  Alexander Doudkin, Leonid Podenok, Dmitry Pertsau // Pattern Recognition and Image processing / Communications in Computer and Information Science // V.V. Krasnoproshin and S.V. Ablameyko (Eds): PRIP 2016, CCIS.-Springer International Publishing, AG 2017, pp.1-10. DOI: 10.1007/978-3-319-54220-1_6. (https://www.springerprofessional.de/hyperspectral-data-compression-framework-for-earth-remote-sensin...)

Doudkin,, Alexander. Ensembles of Neural Network for Telemetry Multivariate Time Series Forecasting /Alexander Doudkin, Yauheni Marushko // Pattern Recognition and Image processing / Communications in Computer and Information Science // V.V. Krasnoproshin and S.V. Ablameyko (Eds): PRIP 2016, CCIS.-Springer International Publishing, AG 2017, pp.1-10. DOI: 10.1007/978-3-319-54220-1_6.  (https://www.springerprofessional.de/ensembles-of-neural-network-for-telemetry-multivariate-time-seri...)

Doudkin, A. Algorithm of input data preparation for single-beam pattern generator in industry-oriented applications / A. Doudkin // Journal of Research and Applications in Agricultural Engineering. – 2015. – Vol. 60(2). – P. 26-30.

Development of the hardware and software complex for fertilizer application on agricultural fields / V.Ganchenko, A. Doudkin,  A.  Petrovsky, T. Pawlowski // Journal of Research and Applications in Agricultural Engineering. -  2014, Vol. 59(1). - P. 34-39.

Artificial Intelligence Technologies In Precision Agriculture /  A.Doudkin, T.Pawłowski, V.Ganchenko, Al.Petrovsky // Journal of Research and Applications in Agricultural Engineering. – 2013. – Vol. 58 (2). – P. 119-126.

New Covering Algorithms Implemented in Software Systems for Input Data Preparation for Single-Beam IC Layout Generator / A.Doudkin, S.Avakaw, A.Voronov, V.Rusetsky // Computational Techniques in Modeling and Simulation / Editors: Victor Krasnoproshin, Anna M. Gil Lafuente, and Constantin Zopounidis - Hauppauge NY : Nova Science Publishers, 2013. − P. 159-174.

MULTI-AGENT PARALLEL IMPLEMENTATION OF VLSI CAD PROCEDURES / A.Doudkin, A.I.Petrovsky, A.V.Otwagin, R.Kh.Sadyhov, T.Pawlowsky // Journal of Research and Applications in Agricultural Engineering. – 2013. – Vol. 58 (1). – P. 35-38.

New covering algorithms implemented in software system for input data preparation for single-beam IC layout generator / A.Doudkin S.Avakaw, A.Voronov, V.Rusetsky // Journal of Computational Optimization in Economics and Finance - Technical University of Crete, Greece. − 2012. − Vol. 4, Issue 2. − P. 161-176.

The prototype of software system of telemetry data analysis / A.Doudkin, Ya.Marushko, V.Ganchenko, À.Inyutin, L.Podenok, R.Sadykhov // Lectures on Modelling and Simulation. A selection from A.M.S.E., Leon, France. − Volume 14, Issue 1, 2012. − P. 75-86.

Doudkin, A. Disease areas detection on agricultural plants using fractal and textural features of high resolution color aerial photographs / A. Doudkin, V. Ganehenko, A. Petrovsky, B. Sobkowiak // Journal of Research and Applications in Agricultural Engineering. – Poznan, 2009. – Vol. 54 (3). – P. 55-59.

Otwagin A.W., Doudkin A.A., An MPI-Based Framework for Parallel Processing of Integrated Circuits Layout Images,  Computing, Vol. 5, iss. 2. – P. 55-61. 2(2006)

Doudkin, A. The Defect and Project Rules Inspection on PCB Layout Image / A. Doudkin, A. Inyutin // Computing. – 2006. – Vol. 5, iss. 3. – P. 107-111.

An optimization algorithm for the clearing of inter bank payments / A.Doudkin, Y.Shafransky // European Journal of Operational Research : Elsevier B.V., 2006. − Vol. 171. − P. 743-749.

Application of Neural Network Techniques to Chaotic Signal Processing / V.Golovko, N.Manyakov, A.Doudkin // Optical Memory and Neural Networks (Information Optics): Allerton Press, Inc., 2005. − Vol. 13, ¹ 4. − P. 195-215.

Sadykhov R., Reznik I., Doudkin A. Technique for the hidden transfer of the color images// Special Issue of International Association AMSE, Leon, France. 2005. - P. 89-99..


 Äîêëàäû íà êîíôåðåíöèÿõ 

Decision support for precision farming complex / A.Doudkin, V.Ganchenko, A.A.Petrovsky // Pattern Recognition and Information Processing (PRIP’2014): Proc. of the 12th International Conf. (28-30 May 2014, Minsk, Republic of Belarus). − Minsk : UIIP of NASB, 2014. − P.65-69.

Neural Network Software Diagnosis System of Telemetry Data / A.Doudkin, Ya.Marushko, V.Ganchenko, À.Inyutin, L.Podenok, R.Sadykhov //Proc. of the 7th IEEE International Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS-2013), 12-14 September 2013. − Berlin : Technical University, 2013. − P. 376-380.

Based on Analysis of Color and Textural Features Technology of Vegetation State Recognition / V.Ganchenko, A.Doudkin, A.Petrovsky // Proc. of the 7th International Conf. on Neural Networks and Artificial Intelligence, Oct. 10-12, Minsk, 2012. − Misnk : BSUIR, 2012. – P. 245-250.

Sadykhov, R. Special areas detection on agricultural fields images using evaluations of local brightness variability / R. Sadykhov, A. Doudkin. V. Ganchenko, A. Petrovsky. T. Pawlowski // Proceedings of the 6th IEEE Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2011). – Prague: Technical University. 2011. – P. 421-425.

Doudkin  A.  at al. Special Areas Detection Using Fractal and Textural Characteristics of High Resolution Images,  Pattern Recognition and Information Processing (PRIP)’2009: proc. of the 10th Int. Conf. (22-24 May, Minsk, Belarus). – Minsk: Publ. center of BSU, 2009. – P. 137-139.

Doudkin A., Vatkin M.  Neocognitron-Like Multilayer Neural Network for Halftone Images Recognition,   Proc. of the 5th Int Conf on Neural Networks and Artificial Intelligence (ICNNAI 2008), May 27-30, 2008, Minsk, Belarus. - Minsk: BSUIR, 2008. - P. 315-319.

Maxnist L., Doudkin A., Golovko V.  Convergence analysis of neural networks training based on steepest descent method,  Proc. of the 9th Int. Conf. on Pattern Recognition and Information Processing (PRIP’2007), May, 22-24, Minsk, Belarus. – Minsk: UIIP of NASB, 2007. – Vol. 1. – P. 285-289. 85-À75


Ñòàòüè â æóðíàëàõ (íà ðóññêîì ÿçûêå)

 Äóäêèí, À.À. Íå÷åòêàÿ íåéðîííàÿ ñåòü äëÿ àíàëèçà òîïîëîãèè èíòåãðàëüíûõ ìèêðîñõåì / À.A.  Äóäêèí // Èñêóññòâåííûé èíòåëëåêò. – 2015. – ¹ 1-2.

Äóäêèí, À.À. Ïîäñèñòåìà ïàðàëëåëüíîé îáðàáîòêè èçîáðàæåíèé äëÿ ìîíèòîðèíãà ñîñòîÿíèÿ ëåñíûõ óãîäèé / À.À. Äóäêèí // Èçâåñòèÿ ÞÔÓ. Òåõíè÷åñêèå íàóêè. – 2014. – ¹12 (161). – Ñ. 129-137.

Äóäêèí, À.À. Àëãîðèòì îáúåäèíåíèÿ ìàòðè÷íûõ èíòåãðàëüíûõ ñõåì â ñèñòåìó íà êðåìíèåâîé ïëàñòèíå / À.À. Äóäêèí // Âåñòíèê ÁðÃÒÓ. –2014. – ¹ 5 (89) : Ôèçèêà, Ìàòåìàòèêà, èíôîðìàòèêà. – Ñ. 17-21.

Ìîäåëèðîâàíèå ïðîöåññîâ ôîòîëèòîãðàôèè íà áàçå ìíîãîàãåíòíîé àðõèòåêòóðû / Ñ.Ì.Àâàêîâ [è äð.] - "Èíôîðìàöèîííûå òåõíîëîãèè ïðîãðàììû Ñîþçíîãî ãîñóäàðñòâà "Òðèàäà". Îñíîâíûå ðåçóëòàòû è ïåðñïåêòèâû: ñá. íàó÷. òðóäîâ - Ìèíñê, ÎÈÏÈ ÍÀÍ Áåëàðóñè, 2010. - Ñ.126-142.

Ïðîãðàììíûå ñðåäñòâà èìèòàöèîííîãî ìîäåëèðîâàíèÿ ðàáîòû îïòèêî-ýëåêòðîííîé ñèñòåìû íàâèãàöèè / À.À. Äóäêèí [è äð.] // Ðàêåòíî-êîñìè÷åñêàÿ òåõíèêà. Èíôîðìàöèîííûå ñèñòåìû è òåõíîëîãèè / Íàó÷íûå òðóäû.  2-õ òîìàõ // ïîä îáù. ðåä. Ì.È. Ìàêàðîâà. Ò.2. Ãëàâû VI, VII. – Ì.: ÍÈÈ ÊÑ èì. À.À. Ìàêñèìîâà, 2012.- Ñ.344-358.

Äóäêèí, À.À. Êîíòðîëü òîïîëîãèè èíòåãðàëüíûõ ñõåì íà áàçå ñèñòåì êîìïüþòåðíîãî çðåíèÿ // Âåñòíèê Áðåñòñêîãî ãîñóäàðñòâåííîãî òåõíè÷åñêîãî óíèâåðñèòåòà. Ôèçèêà, ìàòåìàòèêà, èíôîðìàòèêà. - 2008. - ¹ 5. - Ñ. 8-12.

Äóäêèí, À.À. Àëãîðèòìû äëÿ âîññòàíîâëåíèÿ òîïîëîãèè â çàäà÷å îáðàòíîãî ïðîåêòèðîâàíèÿ èíòåãðàëüíûõ ñõåì / Äóäêèí À.À. // Âåñòíèê ÁðÃÒÓ. Ôèçèêà, ìàòåìàòèêà, èíôîðìàòèêà., 2008. - ¹ 5. - C. 47-52.

Äóäêèí, À.À. Ìîäåëèðîâàíèå ïðîöåññîâ ôîòîëèòîãðàôèè íà ñóïåðêîìïüþòåðå ÑÊÈÔ Ê-1000 / À.À. Äóäêèí, À.Â. Èíþòèí, À. Îòâàãèí // Èñêóññòâåííûé èíòåëëåêò. - Äîíåöê, 2008. - ¹ 4. - Ñ. 348-352.

 Äóäêèí, À.À. Îñíîâíûå ïîäõîäû ê ðåàëèçàöèè îáðàáîòêè èçîáðàæåíèé òîïîëîãè÷åñêèõ ñëîåâ èíòåãðàëüíûõ ñõåì â ñèñòåìàõ êîìïüþòåðíîãî çðåíèÿ ïðîåêòèðîâàíèÿ è ïðîèçâîäñòâà ýëåêòðîííûõ èçäåëèé // Âåñòíèê Áðåñòñêîãî ãîñóäàðñòâåííîãî òåõíè÷åñêîãî óíèâåðñèòåòà. Ôèçèêà, ìàòåìàòèêà, èíôîðìàòèêà. - 2008 . - ¹ 5. - Ñ. 23-29.

Ïðîòîòèï ïðîãðàììíîé íåéðîñåòåâîé ñèñòåìû êîíòðîëÿ òåëåìåòðè÷åñêîé èíôîðìàöèè / À.À. Äóäêèí [è äð.] // Ðàêåòíî-êîñìè÷åñêàÿ òåõíèêà. Èíôîðìàöèîííûå ñèñòåìû è òåõíîëîãèè / Íàó÷íûå òðóäû.  2-õ òîìàõ // ïîä îáù. ðåä. Ì.È. Ìàêàðîâà. Ò.1. Ãëàâû 1-V. – Ì.: ÍÈÈ ÊÑ èì. À.À. Ìàêñèìîâà, 2012.- Ñ.303-317.


 Ìàòåðèàëû ïî ìàòåìàòè÷åñêîìó îáåñïå÷åíèþ ÝÂÌ

 Äóäêèí, À.À. Àëãîðèòìû è ïîäñèñòåìû àâòîìàòèçèðîâàííîãî ëîãè÷åñêîãî ïðîåêòèðîâàíèÿ öèôðîâûõ ÑÁÈÑ / Àâò.-ñîñò.: À.À. Äóäêèí, Â.À. Ãîëîâêî, Ã.Ë. Ìóðàâüåâ, È.Â. Êà÷êîâ, À.Ã. Ìà÷íåâ, Â.Ï. Ìàõíèñò, À.Â. Ãëàäûùóê; ïîä íàó÷. ðåä. Ð.Õ. Ñàäûõîâà. – Ìèíñê: Èí-ò òåõí. êèáåðíåòèêè ÀÍ Áåëàðóñè, 1994. – 126 ñ. 

Êîìïëåêñ ïðîãðàìì ñèíòåçà êîìáèíàöèîííûõ ñõåì â áàçèñå ÏËÌ è ÌËÂ / À.À. Äóäêèí [è äð.] - Ìèíñê: ÈÒÊ ÀÍ ÁÑÑÐ, 1988. - 67 ñ.

 Ñòàòüè â ýíöèêëîïåäèÿõ

Äóäêèí, À.À. Íåéðîíàÿ ñåòêà / À.À. Äóäêèí, Â.À. Ãîëîâêî // Áåëàðóñêàÿ ýíöûêëàïåäûÿ: Ó 18 ò. Ò. 13. – Ìí.: ÁåëÝí, 2003. – Ñ.

Äóäêèí, À.À. Íåéðîííàÿ ñåòü / À.À. Äóäêèí, Â.À. Ãîëîâêî // Ðåñïóáëèêà Áåëàðóñü: Ýíöèêëîïåäèÿ:  6 ò. Ò. 5. – Ìí.: ÁåëÝí, 2007. – Ñ. 407.


 Ó÷åáíîå ïîñîáèå

Ãîëîâêî, Â.À. Îñíîâû êîìïüþòåðíûõ òåõíîëîãèé: ó÷åáíî-ìåòîäè÷åñêîå ïîñîáèå – 2-å èçä., èñïð. è äîï. / Â.À. Ãîëîâêî, À.À. Äóäêèí, Ë.Ï. Ìàòþøêîâ. – Áðåñò: Èçäàòåëüñòâî ÓÎ «ÁðÃÒÓ», 2015. – 196 ñ.