102 research outputs found
Talent Attraction in the Automotive Industry: Employer Branding Strategies for Next-Generation Employees
No full textAuthor Syeda Saba Siddique, LL.BMasterarbeit Johannes Kepler Universität Linz 202
Talent Attraction in the Automotive Industry: Employer Branding Strategies for Next-Generation Employees
No full textAuthor Syeda Saba Siddique, LL.BMasterarbeit Johannes Kepler Universität Linz 202
Heyl Scholarship Winners Announced
No full text1 articleThis article from the college's News and Events webpage announced the 2018 Heyl scholarship recipients attending Kalamazoo College: Evelyn Bartley, Eva DeYoung, Sam Ratliff, Madeline Guimond, Molly Ratliff, Alina Offerman, Syeda Tooba, Tatianna Tyler, and Thomas (Jake) Fales
Temporal Parallelization of Inference in Hidden Markov Models
No full textFunding Information: Manuscript received February 10, 2021; revised June 4, 2021 and July 26, 2021; accepted August 4, 2021. Date of publication August 12, 2021; date of current version September 3, 2021. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. N. Dobigeon. This work was supported by Academy of Finland. (Corresponding author: Syeda Sakira Hassan.) Syeda Sakira Hassan and Simo Särkkä are with the Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland (e-mail: [email protected]; [email protected]). Publisher Copyright: © 1991-2012 IEEE.This paper presents algorithms for the parallelization of inference in hidden Markov models (HMMs). In particular, we propose a parallel forward-backward type of filtering and smoothing algorithm as well as a parallel Viterbi-type maximum-a-posteriori (MAP) algorithm. We define associative elements and operators to pose these inference problems as all-prefix-sums computations and parallelize them using the parallel-scan algorithm. The advantage of the proposed algorithms is that they are computationally efficient in HMM inference problems with long time horizons. We empirically compare the performance of the proposed methods to classical methods on a highly parallel graphics processing unit (GPU).Peer reviewe
Unveiling the Invasion of Afghanistan : Analysis and Creative Collection of the Media Coverage Surrounding Muslim and Afghan Women through Orientalist and Imperialist Frameworks
No full text52 p.This project aims to shed a brief light on the ways in which U.S. media coverage of Muslims post-September 11, 2001 was inherently negative and used orientalist and imperialist stereotypes and caricatures of Muslims, Muslim women, and Afghan women in order to build public support and justification for the United States invasion of Afghanistan and continued military intervention in the region. In addition, the circulation of these negative narratives, specifically those referencing Muslim women, is impactful and leads to negative perceptions of the Muslim community and lends itself to the support of harmful policies and unjust apathy. Furthermore, this work emphasizes the ways in which Afghan women in particular were portrayed through an orientalist lens as inherently oppressed women who needed rescuing, promoting the U.S. invasion as their needed savior. The second part of this project delves into a brief collection of creative works from the author that aims to bring light to the emotions and experiences of a young Muslim woman growing up in the post-9/11 era
Education and women mathematicians in the Middle East
No full textMiddle Eastern women have made important contributions in the field of Mathematics. The purpose of this thesis is to understand the educational background for women in the Middle East and look at the life and contribution of a sample of women mathematicians in representative Middle Eastern countries such as Turkey, Lebanon, Iran, and Pakistan
Shear alignment of particles during spin coating
No full textSpin coating is a process for applying uniform coatings to a wide variety of substrates. The final film thickness depends on viscosity, drying rate, percentage of solids, and surface tension and many of these influencing factors have been investigated. Our recent research has been focused on alignment of anisotropic particles being deposited by spin coating. One key aspect of spin coating is the shear forces that are experienced by the fluid before solvent evaporation takes over and freezes in a final particle arrangement. We have calculated the shear experienced by the particles during all stages of the process and tracked the fluid flow to determine the individual particle trajectories. A small fraction of fluid that starts near the center of the wafer contributes to the final coating while the majority of the fluid is flung off. From our calculations and associated measurements, it is evident that the particles away from the center of the wafer are more aligned toward the flow direction due to the higher shearing effect they experienced. Less alignment of particles is found near the center of the wafer as shear is significantly lower at the center. Experimental investigation has been performed to verify the numerical results. Alignment of the particles in the final coating can be advantageous for various optical, electrical and magnetic applications.M.S.Includes bibliographical references (p. 49-50)
Mediapipe based Preprocessed VGGFace2 Dataset
No full textVGGFace2 Dataset and Face Mesh PreprocessingIntroductionThe VGGFace2 dataset is a large-scale face recognition dataset containing over 3.31 million images of 9,131 identities, with an average of 362 images per identity. The dataset is designed to include extensive variations in pose, age, illumination, ethnicity, and profession, making it one of the most diverse and challenging face recognition datasets available. For more details, please refer to the original publication:VGGFace2: A dataset for recognizing faces across pose and age - DOI: 10.48550/arXiv.1710.08092
Preprocessing Using MediaPipe 3D Face MeshOn this dataset, we applied the MediaPipe-based 3D face mesh algorithm to accurately detect faces while removing all background elements, including hair. Our preprocessing strictly retained facial landmarks, ensuring that only the essential facial features were preserved. This approach significantly enhanced the accuracy and generalization of our model, as the model was trained exclusively on landmark-based facial data.
Training and PerformanceThe preprocessed data was utilized to train Xception model, which resulted in remarkably accurate outcomes due to the strictly landmark-based facial representation. The model demonstrated robust performance including explainable-AI, proving that eliminating unnecessary background elements contributed positively to its efficiency and reliability.
CitationIf you use this dataset or the preprocessed version in your work, please cite both of the following:
VGGFace2 Dataset:
@article{Cao2018VGGFace2, title={VGGFace2: A dataset for recognizing faces across pose and age}, author={Cao, Qiong and Shen, Li and Xie, Weidi and Parkhi, Omkar M and Zisserman, Andrew}, journal={arXiv preprint arXiv:1710.08092}, year={2018}}
DOI: [10.48550/arXiv.1710.08092](https://doi.org/10.48550/arXiv.1710.08092) Preprocessed Dataset using MediaPipe:@dataset{Shah2025_MediaPipe_FaceMesh, title={MediaPipe-based 3D Face Mesh Preprocessed VGGFace2 Dataset}, author={Shah, Syed Taimoor Hussain and Shah, Syed Adil Hussain and Zamir, Ammara and Qayyum, Kainat and Shah, Syed Baqir Hussain and Fatima, Syeda Maryam and Deriu, Marco Agostino}, year={2025}, doi={10.5281/zenodo.15078557}} DOI: [10.5281/zenodo.15078557](https://doi.org/10.5281/zenodo.15078557)
ContactFor any questions or further details, please feel free to contact us.Syed Taimoor Hussain ShahPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, ItalyEmail: [email protected]: 0000-0002-6010-677
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