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Tytuł:
A novel deep neural network that uses space-time features for tracking and recognizing a moving object
Autorzy:
Chang, O.
Constante, P.
Gordon, A.
Singaña, M.
Powiązania:
https://bibliotekanauki.pl/articles/91702.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
deep architectures
deep learning
artificial vision
Opis:
This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a chosen object captured with a webcam and moving in a 3D space. Autoencoding and substitutional reality are used to train a shallow net until it achieves zero tracking error in a discrete ambient. This trained individual is set to work in a real world closed loop system where images coming from a webcam produce displacement information for a moving region of interest (ROI) inside the own image. This loop gives rise to an emergent tracking behavior which creates a self-maintain flow of compressed space-time data. Next, short term memory elements are set to play a key role by creating new representations in terms of a space-time matrix. The obtained representations are delivery as input to a second shallow network which acts as ”recognizer”. A noise balanced learning method is used to fast train the recognizer with real-world images, giving rise to a simple and yet powerful robotic eye, with a slender neural processor that vigorously tracks and recognizes the chosen object. The system has been tested with real images in real time.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 125-136
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
INTEGRATION OF MOOC PRINCIPLES INTO A LANGUAGE COURSE FRAMEWORK FOR NATO DEEP: A CASE STUDY
Autorzy:
JÓŹWIAK, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/546701.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
NATO,
DEEP
Opis:
The presented framework is fluid in terms of design; it can be applied to both: suit needs of a different target group and subject. However, this paper focuses solely on language learning and should be applied to provide training only in this dimension. The e-learning platform used in this project is LMS ILIAS; however, it would be possible to apply another system of this class (learning management system). Nonetheless, it is advisable to use LMS ILIAS, as it suits this project’s needs and is compliant with the NATO DEEP Portal project. Ideally, the people involved in this project should know the specifics of working with military personnel of various countries. Additionally, all the role-holders are required to have experience with e-learning project design based on the ADDIE model of instructional design. The author recommends launching the project with a pilot phase first, so the initial assumptions would be properly revised.
Źródło:
Civitas et Lex; 2018, 4(20); 7-13
2392-0300
Pojawia się w:
Civitas et Lex
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Laboratory investigations of deep-water wave transformation and stability
Autorzy:
Wilde, P.
Sobierajski, E.
Chybicki, W.
Sobczak, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/240986.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
Tematy:
laboratory investigations
deep-water wave transformation
deep-water wave stability
Opis:
The authors performed laboratory investigations and the analysis of the transformation of deep-water waves in the flume of the Institute of Hydro-Engineering. Special wave trains were generated by our piston-type wavemaker. Due to the transformation the wave profiles changed along the path of propagation. At first, the changes appeared at the ends of the wave train. Far from the generator they intruded into the middle interval of initially regular waves. Finally, the whole wave train consisted of a set of irregular groups. To study the instability problem the wave trains were modulated by superposition of wave groups with very small amplitudes. The number of waves in a group was a very important parameter. When the number was proper, even small amplitudes of modulation resulted in strong development of amplitudes of wave groups. In our theoretical analysis the non-linear Schroedinger equation was used. The comparison of laboratory and theoretical results proved that this equation is useful but it does not describe the phenomenon in the best way. There have been many attempts to construct a numerical procedure that describes the propagation of water waves. Very often the numerical algorithm is not stable and the results of calculation diverge from the expected behaviour. The authors believe that in many cases the instability is due to the physical loss of stability of the wave train and thus it is necessary to have a good understanding of the physics of the studied motion.
Źródło:
Archives of Hydro-Engineering and Environmental Mechanics; 2003, 50, 3; 287-313
1231-3726
Pojawia się w:
Archives of Hydro-Engineering and Environmental Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards ensuring software interoperability between deep learning frameworks
Autorzy:
Lee, Youn Kyu
Park, Seong Hee
Lim, Min Young
Lee, Soo-Hyun
Jeong, Jongwook
Powiązania:
https://bibliotekanauki.pl/articles/23944833.pdf
Data publikacji:
2023
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
deep learning
interoperability
validation
verification
deep learning framework
model conversion
Opis:
With the widespread of systems incorporating multiple deep learning models, ensuring interoperability between target models has become essential. However, due to the unreliable performance of existing model conversion solutions, it is still challenging to ensure interoperability between the models developed on different deep learning frameworks. In this paper, we propose a systematic method for verifying interoperability between pre- and post-conversion deep learning models based on the validation and verification approach. Our proposed method ensures interoperability by conducting a series of systematic verifications from multiple perspectives. The case study confirmed that our method successfully discovered the interoperability issues that have been reported in deep learning model conversions.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 4; 215--228
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving accuracy of detecting dangerous objects with deep learning
Poprawa skuteczności wykrycia niebezpiecznych obiektów przy użyciu technik deep learning
Autorzy:
Zacniewski, A.
Powiązania:
https://bibliotekanauki.pl/articles/315763.pdf
Data publikacji:
2016
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
detecting dangerous objects
deep learning
detekcja niebezpiecznych obiektów
technika deep learning
Opis:
In this article, the problem of detecting dangerous objects with deep learning is presented. Convolutional Neural Networks are created with Python language ecosystem (Theano and Keras libraries), and then trained with different number of layers and different parameters. Accuracy of detection dangerous objects for artificial Neural Network with smaller number of layers is computed and obtained result is improved with deep learning. CIFAR-10 dataset is used due to useful classes included.
W artykule przedstawiono problem detekcji niebezpiecznych obiektów przy użyciu technik deep learning. Konwolucyjne sieci neuronowe tworzone są przy pomocy bibliotek języka Python takich jak Keras i Theano, a następnie trenowane są przy różnej liczbie warstw i z różnymi parametrami. Skuteczność detekcji niebezpiecznych obiektów dla małej liczby warstw sztucznej sieci neuronowej jest obliczana, a uzyskany wynik jest ulepszany przy użyciu technik deep learning. Zbiór danych CIFAR-10 został wykorzystany w badaniach z powodu dużej użyteczności występujących w nim klas.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2016, 17, 12; 513-516
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep reinforcement learning overview of the state of the art
Autorzy:
Fenjiro, Y.
Benbrahim, H.
Powiązania:
https://bibliotekanauki.pl/articles/384788.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
reinforcement learning
deep learning
convolutional network
recurrent network
deep reinforcement learning
Opis:
Artificial intelligence has made big steps forward with reinforcement learning (RL) in the last century, and with the advent of deep learning (DL) in the 90s, especially, the breakthrough of convolutional networks in computer vision field. The adoption of DL neural networks in RL, in the first decade of the 21 century, led to an end-toend framework allowing a great advance in human-level agents and autonomous systems, called deep reinforcement learning (DRL). In this paper, we will go through the development Timeline of RL and DL technologies, describing the main improvements made in both fields. Then, we will dive into DRL and have an overview of the state-ofthe- art of this new and promising field, by browsing a set of algorithms (Value optimization, Policy optimization and Actor-Critic), then, giving an outline of current challenges and real-world applications, along with the hardware and frameworks used. In the end, we will discuss some potential research directions in the field of deep RL, for which we have great expectations that will lead to a real human level of intelligence.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 3; 20-39
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recipes of cement slurries for sealing casing in deep wellbores
Autorzy:
Rzepka, M.
Stryczek, S.
Kremieniewski, M.
Wiśniowski, R.
Dębińska, E.
Powiązania:
https://bibliotekanauki.pl/articles/298793.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
cement slurries
deep wellbores
Opis:
The authors of this paper discuss issues connected with the sealing of deep casing columns. The results of analyses of cement slurry recipes recently used for sealing wellbores in Poland have been presented. Laboratory experiments were performed on samples at temperature 90–120 degrees of Cesius and pressure 60–70 MPa. Recipes of slurries were worked out at the Oil and Gas Institute Section in Krosno and Cement Services (EXALO group). Slurries were based on 10% NaCl brine with such additives as: – 20–25% of latex (prevents gas migration and lowers filtration); – silica powder (increases thermal resistance of hardened cement slurry at high temperature); – hematite (weighing material: 30–110% of cement mass); – microcement (sealing up the cement matrix). The G type HRS drilling cement, meeting standard ‘PN-EN ISO 10426-1 “Oil and gas industry” – Cements and materials for cementing wellbores’, was used as a binder. The density of the presented slurries ranged between 2050 and 2350 kg/m3, plastic viscosity a hundred or so mPa•s and thickening time from 3.5–6 hrs. The filtration of slurry oscillated between 30 and 40 cm3/30 min, with zero water settlement. The compressive strength of hardened sealing slurries was high (frequently over 30 MPa). The detailed analyses of slurries and hardened cement slurries as well as works on the improvement of recipes, resulted in the systematic improvement of the quality of cementing jobs on production casing in deep wellbores on hydrocarbon deposits.
Źródło:
AGH Drilling, Oil, Gas; 2016, 33, 2; 455-470
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep features extraction for robust fingerprint spoofing attack detection
Autorzy:
Souza de, Gustavo Botelho
Silva Santos da, Daniel Felipe
Gonçalves Pires, Rafael
Nilceu Marana, Aparecido
Paulo Papa, Joao
Powiązania:
https://bibliotekanauki.pl/articles/91725.pdf
Data publikacji:
2019
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
restricted Boltzmann Machines
Deep Boltzmann Machines
deep learning
fingerprint spoofing detection
biometrics
Opis:
Biometric systems have been widely considered as a synonym of security. However, in recent years, malicious people are violating them by presenting forged traits, such as gelatin fingers, to fool their capture sensors (spoofing attacks). To detect such frauds, methods based on traditional image descriptors have been developed, aiming liveness detection from the input data. However, due to their handcrafted approaches, most of them present low accuracy rates in challenging scenarios. In this work, we propose a novel method for fingerprint spoofing detection using the Deep Boltzmann Machines (DBM) for extraction of high-level features from the images. Such deep features are very discriminative, thus making complicated the task of forgery by attackers. Experiments show that the proposed method outperforms other state-of-the-art techniques, presenting high accuracy regarding attack detection
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 1; 41-49
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Power-Ground Plane Impedance Modeling Using Deep Neural Networks and an Adaptive Sampling Process
Autorzy:
Goay, Chan Hong
Cheong, Zheng Quan
Low, Chen En
Ahmad, Nur Syazreen
Goh, Patrick
Powiązania:
https://bibliotekanauki.pl/articles/2200709.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
adaptive sampling
deep neural networks
deep learning
power-ground plane
Z-parameters
Opis:
This paper proposes a deep neural network (DNN) based method for the purpose of power-ground plane impedance modeling. A composite DNN model, which is a combination of two DNNs is used to predict the Z-parameters of power ground planes from their design parameters. The first DNN predicts the normalized Z-parameters whereas the second DNN predicts the original maximum and minimum values of the nonnormalized Z-parameters. This allows the method to retain a high accuracy when predicting responses that have large variations across designs, as is the case with the Z-parameters of the power-ground planes. We use the adaptive sampling algorithm to generate the training and validation samples for the DNNs. The adaptive sampling algorithm starts with only a few samples, then slowly generates more samples in the non-linear regions within the design parameters space. The level of non-linearity of the regions is determined by a surrogate model which is also trained using the generated samples as well. If the surrogate model has poor prediction accuracy in a region, then the adaptive sampling algorithm will generate more samples in that region. A shallow neural network is used as the surrogate model for non-linearity determination of the regions since it is faster to train and update. Once all the samples have been generated, they will be used to train and validate the composite DNN models. Finally, we present two examples, a square-shaped power ground plane and a squareshaped power ground plane with a hollow square at the center to demonstrate the robustness of the DNN composite models.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 793--798
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Transnational corporations as entities of informal influence. Some reflections based on the example of their engagement in activities directed at LGBT groups in Poland
Autorzy:
Bielska, Beata
Tamborska, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/653153.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
deep capture (deep interception)
regulatory capture
LGBT
pink money (pink dollar)
corporation
Opis:
The paper explores the assertion about multi-faceted tools of impact used by large corporations that aim to limit the subjectivity of consumers. It is based on the concept of “deep capture” (Hanson & Yosifon, 2003). Deep capture suggests that the consumers have only the idea of their own subjectivity, and that human behaviour is largely dependent on external situational factors rather than the individuals’ dispositions. In this context, the present authors analyse the role of large corporations in shaping the image of LGBT people in Poland. Noteworthy is the consideration to build and strengthen the belief that LGBT people are a group which suffers discrimination, to which anyone should make gestures of support throughout consumer decisions. An overview of the actions of business entities for LGBT groups in Poland allows us state that these actions cannot be called large-scale. The actions of Polish companies can be recognised as not very intense or committed. Western transnational corporations have vast experience in actions for LGBT people, but this is not necessarily the case in Poland.
Źródło:
Annales. Etyka w Życiu Gospodarczym; 2018, 21, 7; 59-73
1899-2226
2353-4869
Pojawia się w:
Annales. Etyka w Życiu Gospodarczym
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification of Parkinsons disease in brain MRI images using Deep Residual Convolutional Neural Network (DRCNN)
Autorzy:
Praneeth, Puppala
Sathvika, Majety
Kommareddy, Vivek
Sarath, Madala
Mallela, Saran
Vani, K. Suvarna
Chkrabarti, Prasun
Powiązania:
https://bibliotekanauki.pl/articles/30148251.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
Parkinson’s disease
Deep Residual Convolutional Neural Network
deep learning
health control
Opis:
In our aging culture, neurodegenerative disorders like Parkinson's disease (PD) are among the most serious health issues. It is a neurological condition that has social and economic effects on individuals. It happens because the brain's dopamine-producing cells are unable to produce enough of the chemical to support the body's motor functions. The main symptoms of this illness are eyesight, excretion activity, speech, and mobility issues, followed by depression, anxiety, sleep issues, and panic attacks. The main aim of this research is to develop a workable clinical decision-making framework that aids the physician in diagnosing patients with PD influence. In this research, the authors propose a technique to classify Parkinson’s disease by MRI brain images. Initially, the input data is normalized using the min-max normalization method, and then noise is removed from the input images using a median filter. The Binary Dragonfly algorithm is then used to select features. In addition, the Dense-UNet technique is used to segment the diseased part from brain MRI images. The disease is then classified as Parkinson's disease or health control using the Deep Residual Convolutional Neural Network (DRCNN) technique along with the Enhanced Whale Optimization Algorithm (EWOA) to achieve better classification accuracy. In this work, the Parkinson's Progression Marker Initiative (PPMI) public dataset for Parkinson's MRI images is used. Indicators of accuracy, sensitivity, specificity and precision are used with manually collected data to evaluate the effectiveness of the proposed methodology.
Źródło:
Applied Computer Science; 2023, 19, 2; 125-146
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ponadnarodowe korporacje jako podmioty nieformalnego wpływu na przykładzie zaangażowania w działania skierowane do osób LGBT w Polsce
Transnational Corporations as Entities of Informal Inflence. Some Reflctions Based on the Example of Their Engagement in Activities Directed to LGBT Groups in Poland
Autorzy:
Bielska, Beata
Tamborska, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/965099.pdf
Data publikacji:
2015-02
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
deep capture
deep interception
regulatory capture
LGBT
pink money
pink dollar
corporation
Opis:
The paper explores the assertion about multi-faceted tools of impact used by large corporations that they aim to limit the subjectivity of consumers. It is based on the concept of ‘deep capture’ developed by Jon Hanson and David Yosifon. According to this concept consumers have only the idea of their own subjectivity. The authors’ basic assumption is that human behaviour is largely (but not completely) dependent on external situational factors rather than the individual dispositions of individuals. In this context we analyse the role of large corporations in shaping the image of LGBT people in Poland. Noteworthy seems to be the consideration to build and strengthen the belief that LGBT people are a group which suffers discrimination, to which anyone should make gestures of support throughout consumer decisions. An overview of the activities of business entities for LGBT groups in Poland lets us say that they cannot be called large scale actions. The actions of Polish companies can be recognised as not very intensive. Western transnational corporations have huge experience in actions for LGBT people, but this is not necessarily the case in Poland.
Źródło:
Annales. Etyka w Życiu Gospodarczym; 2015, 18, 1
1899-2226
2353-4869
Pojawia się w:
Annales. Etyka w Życiu Gospodarczym
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An automated driving strategy generating method based on WGAIL–DDPG
Autorzy:
Zhang, Mingheng
Wan, Xing
Gang, Longhui
Lv, Xinfei
Wu, Zengwen
Liu, Zhaoyang
Powiązania:
https://bibliotekanauki.pl/articles/2055167.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
automated driving system
deep learning
deep reinforcement learning
imitation learning
deep deterministic policy gradient
system jezdny
uczenie głębokie
uczenie przez naśladowanie
Opis:
Reliability, efficiency and generalization are basic evaluation criteria for a vehicle automated driving system. This paper proposes an automated driving decision-making method based on the Wasserstein generative adversarial imitation learning–deep deterministic policy gradient (WGAIL–DDPG(λ)). Here the exact reward function is designed based on the requirements of a vehicle’s driving performance, i.e., safety, dynamic and ride comfort performance. The model’s training efficiency is improved through the proposed imitation learning strategy, and a gain regulator is designed to smooth the transition from imitation to reinforcement phases. Test results show that the proposed decision-making model can generate actions quickly and accurately according to the surrounding environment. Meanwhile, the imitation learning strategy based on expert experience and the gain regulator can effectively improve the training efficiency for the reinforcement learning model. Additionally, an extended test also proves its good adaptability for different driving conditions.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 3; 461--470
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developmental changes in barley microRNA expression profiles coupled with miRNA target analysis
Autorzy:
Pacak, Andrzej
Kruszka, Katarzyna
Swida-Barteczka, Aleksandra
Nuc, Przemyslaw
Karlowski, Wojciech
Jarmolowski, Artur
Szweykowska-Kulinska, Zofia
Powiązania:
https://bibliotekanauki.pl/articles/1038742.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
barley
microRNA
deep sequencing
development
Opis:
MicroRNAs are 19- to 24-nt-long single-stranded RNAs that are crucial regulators of gene expression which control plant development and response to environmental cues. We have analyzed microtranscriptomes of five barley developmental stages. Generally, during the barley development, miR168-3p and miR1432-5p levels increase while the 5'U-miR156-5p level decreases (with exception for the 2-week-old barley). We have identified two miR156-5p izomiRs (called 5'U-miR156-5p [20 nt] and 5'UU-miR156-5p [21 nt]), which were expressed differently during barley development. The 5' U-miR156-5p level decreased in 3-week-, 6-week-, and 68-day-old barley, when compared to the 1-week-old plants. Meanwhile, the 5' UU-miR156-5p level increased significantly in the 68-day-old barley plants. Moreover, only the 5' U-miR156 isomiR recognizes and guides unique transcription factor mRNAs from the Squamosa Promoter Binding Protein-Like (SPL) family. We identified many non-canonical microRNAs with changed expression levels during the barley development. Here, we present the profiles of microRNA expression characteristics for particular barley developmental stages. These analyses are accompanied by the experimental degradome analysis of miRNA targets.
Źródło:
Acta Biochimica Polonica; 2016, 63, 4; 799-809
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Local resistance of heating molybdenum sheet in a test device
Autorzy:
Mitka, M.
Bastovansky, R.
Brumercik, F.
Ignaciuk, P.
Powiązania:
https://bibliotekanauki.pl/articles/102733.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
molybdenum
resistance heating
deep drawing
Opis:
Large demand for bulk of sapphire optical products, which are widely used as illuminators, optical windows in aviation and aeronautics etc., generates the inquiry of effective production of high quality industrial crystals. The technology of crystal growth with the horizontal single crystal sapphire crystallization method is based on putting the crystal seed into the front of the crucible resistant to temperatures up to 2150°C. Without encompassment of the production technology of this special container made from thin molybdenum sheet is not realistic to consider the productive exploitation of horizontal crystallization systems in engineering practice. This paper presents the analysis of the possibility of the local resistance of molybdenum sheet heating by its deep drawing to obtain better drawing properties by increased blank temperature.
Źródło:
Advances in Science and Technology. Research Journal; 2017, 11, 3; 87-93
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
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