Dissertations / Theses on the topic 'Soft classification'
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Phillips, Rhonda D. "A Probabilistic Classification Algorithm With Soft Classification Output." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26701.
Full textPh. D.
Stolpmann, Alexander. "An intelligent soft-computing texture classification system." Thesis, University of South Wales, 2005. https://pure.southwales.ac.uk/en/studentthesis/an-intelligent-softcomputing-texture-classification-system(a43eb831-a799-438b-9112-3ce1df432fe9).html.
Full textDoan, Huong Thi Xuan. "Soft classification and land cover mapping from remotely sensed imagery." Thesis, University of Southampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439513.
Full textXia, Baiqiang. "Learning 3D geometric features for soft-biometrics recognition." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10132/document.
Full textSoft-Biometric (gender, age, etc.) recognition has shown growingapplications in different domains. Previous 2D face based studies aresensitive to illumination and pose changes, and insufficient to representthe facial morphology. To overcome these problems, this thesis employsthe 3D face in Soft-Biometric recognition. Based on a Riemannian shapeanalysis of facial radial curves, four types of Dense Scalar Field (DSF) featuresare proposed, which represent the Averageness, the Symmetry, theglobal Spatiality and the local Gradient of 3D face. Experiments with RandomForest on the 3D FRGCv2 dataset demonstrate the effectiveness ofthe proposed features in Soft-Biometric recognition. Furtherly, we demonstratethe correlations of Soft-Biometrics are useful in the recognition. Tothe best of our knowledge, this is the first work which studies age estimation,and the correlations of Soft-Biometrics, using 3D face
Siddiqui, Mujahuddin M., Shaikh M. Mobin, Irena Senkovska, Stefan Kaskel, and Maravanji S. Balakrishna. "Novel zeotype frameworks with soft cyclodiphosphazane linkers and soft Cu₄X₄ clusters as nodes." Royal Society of Chemistry, 2014. https://tud.qucosa.de/id/qucosa%3A36036.
Full textFröhner, Michael, and Manfred P. Wirth. "Etiologic Factors in Soft Tissue Sarcomas." Karger, 2001. https://tud.qucosa.de/id/qucosa%3A27622.
Full textWeichteilsarkome stellen etwa 1% aller bösartigen Neubildungen. Der in den vergangenen Jahrzehnten beobachtete Inzidenzanstieg geht fast ausschließlich auf die rasante Zunahme an AIDS-assoziierten Kaposi-Sarkomen zurück. Bei Außerachtlassung dieses Tumors gibt es bisher keinen schlüssigen Beweis für eine wirkliche alterskorrigierte Häufigkeitszunahme der Weichteilsarkome. Neben der gut untersuchten Rolle des HIV-1-Virus und des humanen Herpes-Virus 8 bei der Entstehung des AIDS-assoziierten Kaposi-Sarkoms und einigen prädisponierenden genetischen Erkrankungen existieren starke Hinweise für einen Zusammenhang zwischen Industriegiften wie Vinylchlorid, Phenoxyessigsäure-Herbiziden, Chlorphenolen, Dioxinen, medizinischen Maßnahmen wie therapeutischer Bestrahlung oder dem Einsatz von Thorotrast, und der Entwicklung von Weichteilsarkomen. Hormone und chronische Reparaturprozesse sind weitere wahrscheinlich fördernde Einflüsse auf die Entstehung von Weichteilsarkomen. Die Tatsache, daß trotz des großen Anteils, den die Binde- und Stützgewebe an der Körpermasse stellen, nur selten maligne Tumoren von diesen Strukturen ausgehen, läßt hoffen, daß ein besseres Verständnis der an der Kanzerogenese von Weichteilsarkomen beteiligten Mechanismen in der Zukunft wichtige Erkenntnisse über die Entstehung menschlicher Tumoren liefern kann.
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Henke, E. F. Markus, Katherine E. Wilson, and Iain A. Anderson. "Entirely soft dielectric elastomer robots." SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A35126.
Full textAlorf, Abdulaziz Abdullah. "Primary/Soft Biometrics: Performance Evaluation and Novel Real-Time Classifiers." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96942.
Full textDoctor of Philosophy
The relevance of faces in our daily lives is indisputable. We learn to recognize faces as newborns, and faces play a major role in interpersonal communication. Faces probably represent the most accurate biometric trait in our daily interactions. Thereby, it is not singular that so much effort from computer vision researchers have been invested in the analysis of faces. The automatic detection and analysis of faces within images has therefore received much attention in recent years. The spectrum of computer vision research about face analysis includes, but is not limited to, face detection and facial attribute classification, which are the focus of this dissertation. The face is a primary biometric because by itself revels the subject's identity, while facial attributes (such as hair color and eye state) are soft biometrics because by themselves they do not reveal the subject's identity. Soft biometrics have many uses in the field of biometrics such as (1) they can be utilized in a fusion framework to strengthen the performance of a primary biometric system. For example, fusing a face with voice accent information can boost the performance of the face recognition. (2) They also can be used to create qualitative descriptions about a person, such as being an "old bald male wearing a necktie and eyeglasses." Face detection and facial attribute classification are not easy problems because of many factors, such as image orientation, pose variation, clutter, facial expressions, occlusion, and illumination, among others. In this dissertation, we introduced novel techniques to classify more than 40 facial attributes in real-time. Our techniques followed the general facial attribute classification pipeline, which begins by detecting a face and ends by classifying facial attributes. We also introduced a new facial attribute related to Middle Eastern headwear along with its detector. The new facial attribute were fused with a face detector to improve the detection performance. In addition, we proposed a new method to evaluate the robustness of face detection, which is the first process in the facial attribute classification pipeline. Detecting the states of human facial attributes in real time is highly desired by many applications. For example, the real-time detection of a driver's eye state (open/closed) can prevent severe accidents. These systems are usually called driver drowsiness detection systems. For classifying 40 facial attributes, we proposed a real-time model that preprocesses faces by localizing facial landmarks to normalize faces, and then crop them based on the intended attribute. The face was cropped only if the intended attribute is inside the face region. After that, 7 types of classical and deep features were extracted from the preprocessed faces. Lastly, these 7 types of feature sets were fused together to train three different classifiers. Our proposed model yielded 91.93% on the average accuracy outperforming 7 state-of-the-art models. It also achieved state-of-the-art performance in classifying 14 out of 40 attributes. We also developed a real-time model that classifies the states of three human facial attributes: (1) eyes (open/closed), (2) mouth (open/closed), and (3) eyeglasses (present/absent). Our proposed method consisted of six main steps: (1) In the beginning, we detected the human face. (2) Then we extracted the facial landmarks. (3) Thereafter, we normalized the face, based on the eye location, to the full frontal view. (4) We then extracted the regions of interest (i.e., the regions of the mouth, left eye, right eye, and eyeglasses). (5) We extracted low-level features from each region and then described them. (6) Finally, we learned a binary classifier for each attribute to classify it using the extracted features. Our developed model achieved 30 FPS with a CPU-only implementation, and our eye-state classifier achieved the top performance, while our mouth-state and glasses classifiers were tied as the top performers with deep learning classifiers. We also introduced a new facial attribute related to Middle Eastern headwear along with its detector. After that, we fused it with a face detector to improve the detection performance. The traditional Middle Eastern headwear that men usually wear consists of two parts: (1) the shemagh or keffiyeh, which is a scarf that covers the head and usually has checkered and pure white patterns, and (2) the igal, which is a band or cord worn on top of the shemagh to hold it in place. The shemagh causes many unwanted effects on the face; for example, it usually occludes some parts of the face and adds dark shadows, especially near the eyes. These effects substantially degrade the performance of face detection. To improve the detection of people who wear the traditional Middle Eastern headwear, we developed a model that can be used as a head detector or combined with current face detectors to improve their performance. Our igal detector consists of two main steps: (1) learning a binary classifier to detect the igal and (2) refining the classier by removing false positives. Due to the similarity in real-life applications, we compared the igal detector with state-of-the-art face detectors, where the igal detector significantly outperformed the face detectors with the lowest false positives. We also fused the igal detector with a face detector to improve the detection performance. Face detection is the first process in any facial attribute classification pipeline. As a result, we reported a novel study that evaluates the robustness of current face detectors based on: (1) diffraction blur, (2) image scale, and (3) the IoU classification threshold. This study would enable users to pick the robust face detector for their intended applications. Biometric systems that use face detection suffer from huge performance fluctuation. For example, users of biometric surveillance systems that utilize face detection sometimes notice that state-of-the-art face detectors do not show good performance compared with outdated detectors. Although state-of-the-art face detectors are designed to work in the wild (i.e., no need to retrain, revalidate, and retest), they still heavily depend on the datasets they originally trained on. This condition in turn leads to variation in the detectors' performance when they are applied on a different dataset or environment. To overcome this problem, we developed a novel optics-based blur simulator that automatically introduces the diffraction blur at different image scales/magnifications. Then we evaluated different face detectors on the output images using different IoU thresholds. Users, in the beginning, choose their own values for these three settings and then run our model to produce the efficient face detector under the selected settings. That means our proposed model would enable users of biometric systems to pick the efficient face detector based on their system setup. Our results showed that sometimes outdated face detectors outperform state-of-the-art ones under certain settings and vice versa.
Vasenkov, Sergey. "Structure-Transport relationship in organized soft matter systems by diffusion NMR." Diffusion fundamentals 16 (2011) 22, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13754.
Full textHazelbaker, Eric, Aakanksha Katihar, Monica Sanders, Amrish Menjoge, and Sergey Vasenkov. "Structure-Transport relationship in organized soft matter systems by diffusion NMR." Diffusion fundamentals 16 (2011) 82, S. 1-10, 2011. https://ul.qucosa.de/id/qucosa%3A13827.
Full textHenke, E. F. Markus, Samuel Schlatter, and Iain A. Anderson. "Soft dielectric elastomer oscillators driving bioinspired robots." Mary Ann Liebert, 2017. https://tud.qucosa.de/id/qucosa%3A32850.
Full textGórecka, Źaneta, Juliane Teichmann, Mirko Nitschke, Adrian Chlanda, Emilia Choińska, Carsten Werner, and Wojciech Święszkowski. "Biodegradable fiducial markers for X-ray imaging: soft tissue integration and biocompatibility." Royal Society of Chemistry, 2016. https://tud.qucosa.de/id/qucosa%3A36063.
Full textGrothe, Julia, Florian Wissner, Benjamin Schumm, Giovanni Mondin, and Stefan Kaskel. "Precursor strategies for metallic nano- and micropatterns using soft lithography: Review." Royal Society of Chemistry, 2015. https://tud.qucosa.de/id/qucosa%3A29056.
Full textDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Zubarev, A. Yu, D. N. Chirikov, D. Yu Borin, and G. V. Stepanov. "Hysteresis of the magnetic properties of soft magnetic gels." Royal Society of Chemistry, 2016. https://tud.qucosa.de/id/qucosa%3A36414.
Full textDong, K., D. P. Connolly, O. Laghrouche, P. K. Woodward, and Costa P. Alves. "The stiffening of soft soils on railway lines." Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A73234.
Full textFürthauer, Sebastian. "Active Chiral Processes in Soft Biological Matter." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-90152.
Full textWang, Xiaosheng. "Classification of Cancer and Inference of Cancer-specific Gene Regulatory Networks Based on Gene Expression Profiles Using Soft Computing Rules." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/120370.
Full textMilin, Melita. "›Soft Dictatorship‹ and the Fate of New Music in Serbia, 1945–2000. An Atypical Case." Bärenreiter Verlag, 2012. https://slub.qucosa.de/id/qucosa%3A72020.
Full textDing, Huaxiong. "Combining 2D facial texture and 3D face morphology for estimating people's soft biometrics and recognizing facial expressions." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC061/document.
Full textSince soft biometrics traits can provide sufficient evidence to precisely determine the identity of human, there has been increasing attention for face based soft biometrics identification in recent years. Among those face based soft biometrics, gender and ethnicity are both key demographic attributes of human beings and they play a very fundamental and important role in automatic machine based face analysis. Meanwhile, facial expression recognition is another challenge problem in face analysis because of the diversity and hybridity of human expressions among different subjects in different cultures, genders and contexts. This Ph.D thesis work is dedicated to combine 2D facial Texture and 3D face morphology for estimating people’s soft biometrics: gender, ethnicity, etc., and recognizing facial expression. For the gender and ethnicity recognition, we present an effective and efficient approach on this issue by combining both boosted local texture and shape features extracted from 3D face models, in contrast to the existing ones that only depend on either 2D texture or 3D shape of faces. In order to comprehensively represent the difference between different genders or ethnics groups, we propose a novel local descriptor, namely local circular patterns (LCP). LCP improves the widely utilized local binary patterns (LBP) and its variants by replacing the binary quantization with a clustering based one, resulting in higher discriminative power as well as better robustness to noise. Meanwhile, the following Adaboost based feature selection finds the most discriminative gender- and ethnic-related features and assigns them with different weights to highlight their importance in classification, which not only further raises the performance but reduces the time and memory cost as well. Experimental results achieved on the FRGC v2.0 and BU-3DFE data sets clearly demonstrate the advantages of the proposed method. For facial expression recognition, we present a fully automatic multi-modal 2D + 3D feature-based facial expression recognition approach and demonstrate its performance on the BU–3DFE database. Our approach combines multi-order gradientbased local texture and shape descriptors in order to achieve efficiency a nd robustness. First, a large set of fiducial facial landmarks of 2D face images along with their 3D face scans are localized using a novel algorithm namely incremental Parallel Cascade of Linear Regression (iPar–CLR). Then, a novel Histogram of Second Order Gradients (HSOG) based local image descriptor in conjunction with the widely used first-order gradient based SIFT descriptor are employed to describe the local texture around each 2D landmark. Similarly, the local geometry around each 3D landmark is described by two novel local shape descriptors constructed using the first-order and the second-order surface differential geometry quantities, i.e., Histogram of mesh Gradients (meshHOG) and Histogram of mesh Shape index (curvature quantization, meshHOS). Finally, the Support Vector Machine (SVM) based recognition results of all 2D and 3D descriptors are fused at both featurelevel and score-level to further improve the accuracy. Comprehensive experimental results demonstrate that there exist impressive complementary characteristics between the 2D and 3D descriptors. We use the BU–3DFE benchmark to compare our approach to the state-of-the-art ones. Our multi-modal feature-based approach outperforms the others by achieving an average recognition accuracy of 86,32%. Moreover, a good generalization ability is shown on the Bosphorus database
Hümpfner-Hierl, Heike, Alexander Bohne, Andreas Schaller, Gert Wollny, and Thomas Hierl. "Does facial soft tissue protect against zygomatic fractures?" Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-171696.
Full textLiu, Shaohua, Faxing Wang, Renhao Dong, Tao Zhang, Jian Zhang, Zhikun Zheng, Yiyong Mai, and Xinliang Feng. "Soft-Template Construction of 3D Macroporous Polypyrrole Scaffolds." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235502.
Full textWalther, Julia, Jonas Golde, Lars Kirsten, Florian Tetschke, Franz Hempel, Tobias Rosenauer, Christian Hannig, and Edmund Koch. "In vivo imaging of human oral hard and soft tissues by polarizationsensitive optical coherence tomography." SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A35308.
Full textHartig, Jakob, Christian Schänzle, and Peter F. Pelz. "Validation of a soft sensor network for condition monitoring in hydraulic systems." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71201.
Full textBittencourt, Helio Radke. "Detecção de mudanças a partir de imagens de fração." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/36053.
Full textLand cover change detection is a major goal in multitemporal remote sensing applications. It is well known that images acquired on different dates tend to be highly influenced by radiometric differences and registration problems. Using fraction images, obtained from the linear model of spectral mixing (LMSM), radiometric problems can be minimized and the interpretation of changes in land cover is facilitated because the fractions have a physical meaning. Furthermore, interpretations at the subpixel level are possible. This thesis presents three algorithms – hard, soft and fuzzy – for detecting changes between a pair of fraction images. The algorithms require multivariate normality for the differences among fractions and very little intervention by the analyst. The hard algorithm creates binary change maps following the same methodology of hypothesis testing, based on the fact that the contours of constant density are defined by chi-square values, according to the choice of the probability level. The soft one allows for the generation of estimates of the probability of each pixel belonging to the change class by using a logistic regression model. These probabilities are used to create a map of change probabilities. The fuzzy approach is the one that best fits the concept behind the fraction images because the changes in land cover can occurr at a subpixel level. Based on these algorithms, maps of membership degrees were created. Other mathematical and statistical techniques were also used, such as morphological operations, ROC curves and a clustering algorithm. The algorithms were tested using synthetic and real images (Landsat-TM) and the results were analyzed qualitatively and quantitatively. The results indicate that fraction images can be used in change detection studies by using the proposed algorithms.
Krause, Stefan. "Optical Investigation of Single Fluorophores and their Application as Sensitive Probes in Soft Matter Science." Doctoral thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166118.
Full textPan, Min, Zhe Hao, Chenggang Yuan, and Andrew Plummer. "Development and control of smart pneumatic mckibben muscles for soft robots." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71262.
Full textTäuber, Daniela. "Characterization of heterogeneous diffusion in confined soft matter." Doctoral thesis, Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-77658.
Full textDaubner, Dirk, Stephanie Spieth, Jessica Pablik, Tobias Paulus, Michael Laniado, and Klaus Zöphel. "Hibernoma – two patients with a rare lipoid soft-tissue tumour." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-173673.
Full textWaddell, Erin. "Chemometric Applications to a Complex Classification Problem: Forensic Fire Debris Analysis." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5883.
Full textPh.D.
Doctorate
Chemistry
Sciences
Chemistry
Bui, Tien Dung. "New Segmented Block Copolymers Based on Hard and Soft Segments Using Selectively Reacting Bifunctional Coupling Agents." Doctoral thesis, Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A24966.
Full textScholze, Mario, Aqeeda Singh, Pamela F. Lozano, Benjamin Ondruschka, Maziar Ramezani, Michael Werner, and Niels Hammer. "Utilization of 3D printing technology to facilitate and standardize soft tissue testing." Nature Publishing Group, 2018. https://monarch.qucosa.de/id/qucosa%3A31244.
Full textNgo, Thanh Binh. "Design and creation of control board for drying equipment based on development of a soft self-tuning PID controller." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A32721.
Full textBài báo này giới thiệu một thiết kế mạch điều khiển đa năng có thể áp dụng trong nhiều hệ thống sấy sử dụng các giải pháp truyền nhiệt trực tiếp kết hợp phân phối khí kiểu khay tĩnh trên cơ sở phát triển bộ điều khiển PID mềm tự chỉnh linh hoạt. Sản phẩm được ứng dụng cho một mô hình lò nhỏ sấy mẫu chất thải rắn hoặc mẫu thực vật phục vụ các nghiên cứu phân tích thành phần một số chất. Mạch điều khiển được chế tạo trên nền tảng hệ thống nhúng Arduino sử dụng bộ điều khiển PID mềm linh hoạt, có khả năng tự động thay đổi tham số theo ngưỡng nhiệt yêu cầu để đáp ứng nhiệt độ tốt nhất so với ngưỡng nhiệt độ đặt. Hệ thống có độ quá điều chỉnh nhỏ, nhanh đáp ứng tới các ngưỡng đặt và giữ ổn định với sai lệch nhiệt độ khi đạt ngưỡng yêu cầu trong khoảng ±10C. Ngoài ra, bộ điều khiển còn có thể hoạt động theo nhiều chế độ khác nhau, bao gồm hoạt động theo chế độ đặt nhiệt độ trực tiếp, hoạt động theo chu trình đặt trước, và chuyển chế độ hoàn toàn tự động.
Yang, Sheng-Chieh, Ji-Ling Hou, Andreas Finn, Amit Kumar, Yang Ge, and Wolf-Joachim Fischer. "Synthesis of multifunctional plasmonic nanopillar array using soft thermal nanoimprint lithography for highly sensitive refractive index sensing." Royal Society of Chemistry, 2015. https://tud.qucosa.de/id/qucosa%3A36330.
Full textKrieghoff, Gabriele. "Anbauverfahren für Beerenobst - Entwicklung wirtschaftlicher Anbauverfahren zur Erzeugung von Beerenobst mit optimaler Fruchtqualität." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-23891.
Full textMaurer, Patrick, Antonia Christine Raida, Ernst Lücker, and Sander Münster. "Visual media as a tool to acquire soft skills — cross-disciplinary teaching-learning project SUFUvet." TUDpress, 2016. https://tud.qucosa.de/id/qucosa%3A33985.
Full textKöhler, Claudia. "Sonographische Untersuchung und Dickenmessung des weichen Gaumens beim Hund." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-144811.
Full textEklind, Anna. "Företags investeringsutgifter för datorprogram : en inkomstskatterättslig analys." Thesis, Linköping University, Department of Management and Economics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1861.
Full textThe legal situation of companies costs for investing in computer software in an income tax law perspective is described by a tax law guidance that generelly acount these costs according the principles of research and development. If there is any reason to classify the costs differently, it could mean that immediate deduction not will be allowed. For this reason it is important to establish what the legal situation would be in a more nuanced tax law classification. The tax law categories that will be analysed in the thesis are research and development, inventories, intangible assets, stocks and ongoing projects. The purpose of this thesis is mainly to give examples of what such an income tax law classification can look like.While dealing with the problems of classifying the costs some situations of competition will occure. My conclusion is that it is important to bring out the multiplicity and the comlpexity that marks the legal situation in question. In each specific case yet some situations can occure that I haven’t been close to border on. The income tax law classification of companies costs in computer software shall be descided with the very purpose of the specific investment in mind and as only parameter.
Büttner, Enrico, Anna Maria Gebauer, Martin Hofrichter, Christiane Liers, and Harald Kellner. "Draft Genome Sequence of the Wood-Degrading Ascomycete Kretzschmaria deusta DSM 104547." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232677.
Full textStoica, Mihai. "Casting and characterization of Fe-(Cr,Mo,Ga)-(P,C,B) soft magnetic bulk metallic glasses." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2005. http://nbn-resolving.de/urn:nbn:de:swb:14-1134119175311-08460.
Full textRajabasadi, Fatemeh, Lukas Schwarz, Mariana Medina-Sánchez, and Oliver G. Schmidt. "3D and 4D lithography of untethered microrobots." Elsevier, 2021. https://slub.qucosa.de/id/qucosa%3A75414.
Full textWeiss, Martin. "Evoluční model s učením (LEM) pro optimalizační úlohy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236983.
Full textSchleifenbaum, Stefan, Torsten Prietzel, Gabriela Aust, Andreas Boldt, Sebastian Fritsch, Isabel Keil, Holger Koch, et al. "Acellularization-induced changes in tensile properties are organ specific." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204096.
Full textGeithner, Silke, and Daniela Menzel. "Effectiveness of Learning Through Experience and Reflection in a Project Management Simulation." Sage, 2016. https://tud.qucosa.de/id/qucosa%3A35394.
Full textBouillon, Dorothée Brousset Marie-Laure. "Classification la logique et le langage sont-ils liés? /." Tours : SCD de l'université de Tours, 2007. http://www.applis.univ-tours.fr/scd/Orthophonie/2007ortho_bouillon_brousset.pdf.
Full textChen, Zewei. "Authentication of Complex Botanical Materials by Chemometrics and Chemical Profiling." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1617010785195628.
Full textAl-Liabi, Majda Majeed. "Computational support for learners of Arabic." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/computational-support-for-learners-of-arabic(abd20b76-3ba2-4e11-8aa5-459ec6d8d7d2).html.
Full textLehnert, Anna. "Establishment of the physical and technical prerequisites for the determination of the relative biological effectiveness of low-energy monochromatic X-rays." Doctoral thesis, [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=979444632.
Full textRöntzsch, Silke. "Bohrtechnische Erschließung submariner Gashydratlagerstätten." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-147223.
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