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1	The Ties that Bind: A Comparative Study of the Domination, Oppression, and Resistance of the African-American and the Oromo of Ethiopia Kefentse, Darrell W.B. 21 August 2007 (has links) This thesis begins with a brief survey of African-American and Oromo history focusing specifically on their experiences under the yoke of an oppressive hegemony noting that they both experienced comparable hardships (a form of enslavement, tenancy, sharecropping, disfranchisement, etc.). It also looks at both groups’ subsequent development of cultural awareness and their desire for self-determination. In the case of African-Americans, these factors would lead to a national cry for equality and inclusion. For the Oromo of Ethiopia, these two factors led to an armed struggle for independence and the development of Oromo nationalism. Finally, an analysis is made of the socio-economic effects of the oppression and domination experienced by both groups and argues that in many instances the residual effects of the aforementioned hardships are ever present in contemporary society thus sparking the need for a continued struggle. African-American Oromo Abyssinian Ethiopia naftanya History
2	ʼIntishār al-Islām fī al-Ḥabsha ʼathāruh wa-ʼabaʻaduh / Spread of Islam and its impact in Abyssinia Abdulsemed, Mohammed Hamidin 01 September 2015 (has links) Arabic text with English summary / This research comprises a section on preliminary issues, an introduction, four chapters with sub-divisions and a conclusion. Preliminary issues focus on the research proposal. The introduction reviews factors contributing to the concealment of Muslims’ roles in Abyssinia through negligence, selective reportage and duplicitous political dealings. Chapter One tackles the varying definitions of Abyssinia diachronically and then provides valuable social, economic, political, religious and climatic information about the country and its peoples. Chapter Two analyses the varying levels of relations between Abyssinia and the Arabian Peninsula including the ethnic, cultural, linguistic, religious and political ties down the ages. Chapter Three discusses the migration of some of Prophet Muhammad’s companions to Abyssinia and possible reasons for selecting that land for settlement. It details identities of these people, their areas of arrival and domicile; together with a probe into the Christian ruler, Negus’s warm relations with them. Chapter Four overviews Muslim dynasties in Abyssinia: the causes for their formation, prosperity and decline. The bitter conflicts with Christians and followers of traditional religions are also explored; together with outcomes of these for Muslims up to the present. The Conclusion provides a resume of my most important findings. / Religious Studies and Arabic / M.A. (Islamic Studies) Data selectivity Abyssinian conflict series Solomonic dynasty Sages of Abyssinian military campaigns Rule of nobility in Abyssinia Religious poetry of Abyssinia Abyssinian historical gaps Abyssinian coastal Muslim states Bigoted Christian historians 297.0963 Islam -- Ethiopia -- History Muslims --Ethiopia -- History
3	Victorian war correspondents G.A. Henty and H.M. Stanley the 'Abyssinian' Campaign 1867-1868 / Hoover, Nora K. Garretson, Peter P. January 2005 (has links) Thesis (Ph. D.)--Florida State University, 2005. / Advisor: Dr. Peter P. Garretson, Florida State University, College of Arts and Sciences, Dept. of History. Title and description from dissertation home page (viewed June 13, 2005). Document formatted into pages; contains v, 150 pages. Includes bibliographical references.
4	En jämförelse av Deep Learning-modeller för Image Super-Resolution / A Comparison of Deep Learning Models for Image Super-Resolution Bechara, Rafael, Israelsson, Max January 2023 (has links) Image Super-Resolution (ISR) is a technology that aims to increase image resolution while preserving as much content and detail as possible. In this study, we evaluate four different Deep Learning models (EDSR, LapSRN, ESPCN, and FSRCNN) to determine their effectiveness in increasing the resolution of lowresolution images. The study builds on previous research in the field as well as the results of the comparison between the different deep learning models. The problem statement for this study is: “Which of the four Deep Learning-based models, EDSR, LapSRN, ESPCN, and FSRCNN, generates an upscaled image with the best quality from a low-resolution image on a dataset of Abyssinian cats, with a factor of four, based on quantitative results?” The study utilizes a dataset consisting of pictures of Abyssinian cats to evaluate the performance and results of these different models. Based on the quantitative results obtained from RMSE, PSNR, and Structural Similarity (SSIM) measurements, our study concludes that EDSR is the most effective Deep Learning-based model. / Bildsuperupplösning (ISR) är en teknik som syftar till att öka bildupplösningen samtidigt som så mycket innehåll och detaljer som möjligt bevaras. I denna studie utvärderar vi fyra olika Deep Learning modeller (EDSR, LapSRN, ESPCN och FSRCNN) för att bestämma deras effektivitet när det gäller att öka upplösningen på lågupplösta bilder. Studien bygger på tidigare forskning inom området samt resultatjämförelser mellan olika djupinlärningsmodeller. Problemet som studien tar upp är: “Vilken av de fyra Deep Learning-baserade modellerna, EDSR, LapSRN, ESPCN och FSRCNN generarar en uppskalad bild med bäst kvalité, från en lågupplöst bild på ett dataset med abessinierkatter, med skalningsfaktor fyra, baserat på kvantitativa resultat?” Studien använder en dataset av bilder på abyssinierkatter för att utvärdera prestandan och resultaten för dessa olika modeller. Baserat på de kvantitativa resultaten som erhölls från RMSE, PSNR och Structural Similarity (SSIM) mätningar, drar vår studie slutsatsen att EDSR är den mest effektiva djupinlärningsmodellen. Bachelor’s thesis Image Super-Resolution Deep Learning models EDSR LapSRN ESPCN FSRCNN resolution enhancement low-resolution images quantitative evaluation RMSE PSNR SSIM Abyssinian cats dataset image quality. Kandidatexamensarbete Image Super-Resolution EDSR LapSRN ESPCN FSRCNN Djupinlärningsmodeller upplösningsförbättring lågupplösta bilder kvantitativ utvärdering RMSE PSNR SSIM abyssinska katter datamängd bildkvalitet. Computer Sciences Datavetenskap (datalogi)

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