245 research outputs found
Exploring the impact of SEO-based ranking factors for voice queries through machine learning
No full textThe use of voice search is proliferating and expected to grow into the foreseeable future;
this is why websites increasingly optimize their content associated with voice-based search
to improve their ranking. In this era of rapid growth in voice search technology, it is a topical matter that needs research. Moreover, many predictions about its future excite the subject and require systematic investigation. This research aims to analyze important features
that contribute to the SEO of webpages. Therefore, there is a need to examine various ranking factors that improve the ranking of the webpages for voice search queries on the Search
Engine Results Page (SERP). This study consists of two phases. The frst phase comprises
systematic data acquisition and identifying important SEO-based ranking factors. The second phase includes a longitudinal case study to evaluate the impact and signifcance of
identifed factors. To achieve this goal, we conduct experiments on methodical combinations of features through machine learning algorithms such as Support Vector Machine,
Logistic Regression, Naive Bayes Classifer, K-Nearest Neighbors, Decision Trees and
Random Forest. Comparing results for multiple feature designs evaluates the contributing nature of specifc features in SEO-based optimization for ranking. Results suggest the
importance of the newly identifed feature set (FF) outperforms baselines (EF and EFN)
by a signifcant margin. A longitudinal case study on a blog over four months confrms
that optimizing these features improves page ranking; therefore, webmasters must optimize
these features while preparing the webpage
Supplemental material for Fabrication, in vitro and in vivo studies of bilayer composite membrane for periodontal guided tissue regeneration
No full textSupplemental Material for Fabrication, in vitro and in vivo studies of bilayer composite membrane for periodontal guided tissue regeneration by Saba Zahid, Abdul Samad Khan, Aqif Anwar Chaudhry, Sarah Ghafoor, Qurat Ul Ain, Ahtasham Raza, Muhammad Imran Rahim, Oliver Goerke, Ihtesham Ur Rehman and Asma Tufail in Journal of Biomaterials Applications</p
The Life of Hedonism from the Perspective of Al-Tabari and Sayyid Muhammad Rashid Rida (Comparative Study of Tafsir Surah Ali Imran: 14)
No full textThe Qur'an not only tells us about prohibitions and commands, but also talks about the problems of the lives of previous people. Among them are illustrated by the human lifestyle that prioritizes pleasure and physical luxury. Based on the hedonistic lifestyle, it certainly has 'ibrah that can be learned if an in-depth study of the life of hedonism is carried out. The author wants to examine the life of hedonism from the perspective of al-Tabari and Sayyid Muhammad Rasyid Rida. This paper uses a qualitative approach that is classified into library research with library materials, especially Jami' al-Bayan fi Ta'wil Ayi al-Qur'an and Tafsir al-Manar and uses comparative data analysis. The conclusion in this paper is that the life of hedonism according to al-Tabari and Sayyid Muhammad Rasyid Rida is an excessive human lifestyle and indulges in lust in reaching the pleasures of the world. The similarities and differences according to these two mufassirs are almost the same in interpreting the life of hedonism in surah Ali Imran verse 14 that Allah SWT makes beautiful in human views of the pleasures of the world, namely women, children, large assets of gold and silver, selected horses, livestock and rice fields. Sayyid Muhammad Rasyid Rida besides agreeing with Imam al-Tabari, he added that human love for the beauty and pleasure of the world is not only specific to the Jews, but is general
Developing domain-specific mashup tools for end users
No full textThe recent emergence of mashup tools has refueled research on end user development, i.e., on enabling end users without programming skills to compose own applications. Yet, similar to what happened with analogous promises in web service composition and business process management, research has mostly focused on technology and, as a consequence, has failed its objective. Plain technology (e.g., SOAP/WSDL web services) or simple modeling languages (e.g., Yahoo! Pipes) don't convey enough meaning to non-programmers. We propose a domain-specific approach to mashups that "speaks the language of the user", i.e., that is aware of the terminology, concepts, rules, and conventions (the domain) the user is comfortable with. We show what developing a domain-specific mashup tool means, which role the mashup meta-model and the domain model play and how these can be merged into a domain-specific mashup meta-model. We apply the approach implementing a mashup tool for the research evaluation domain. Our user study confirms that domain-specific mashup tools indeed lower the entry barrier to mashup development. Copyright is held by the author/owner(s)
Retraction Note: Refining Parkinson’s neurological disorder identification through deep transfer learning (Neural Computing and Applications, (2020), 32, 3, (839-854), 10.1007/s00521-019-04069-0)
No full textThe Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors Imran Razzak and Saeeda Naz disagree with this retraction. The author Muhammad Imran has not responded to correspondence regarding this retraction. The Publisher has not been able to obtain a current email address for the authors Amina Naseer, Monail Rani, and Guandong Xu
The Second Chapter of a Volume
No full textThis is a handwritten copy by one of the followers of Al Hajj Umar Taal. It is a copy of a book originally written by Muhammad bun Muhammad bun Al-Masrī. The place of writing is not mentioned. The manuscript is the second volume of a previous volume. The content of the manuscript is diverse. It discusses two types of love. Part one covers love of the truth (haqiqa) towards God's creation. Transcendental truth. Part two is the love for the loved one (Muhammad or another person) and love for women in the Islamic religious sense. Part 3 discusses the importance of spreading the Qur'anic speech towards converting people. Part 4 deals with the ways to differentiate a clean soul ('ruuhu laabdo'). In part four's discussion, the author pulls from the Qur'an and Hadith. Part 5 deals with how to remove confusion and to establish truth. Part 6 teaches life lessons inspired from Islam's model women such as Fatimah bint Rasoul, Mariam bint Imran, Assietu binti Muzahim, Khadija, and Aicha.Il s'agit d'une copie manuscrite d'un des disciples d'Al Hajj Umar Taal. Il s'agit d'une copie d'un livre écrit à l'origine par Muhammad bun Muhammad bun Al-Masrī. Le lieu d'écriture n'est pas mentionné. Le manuscrit est le deuxième volume d'un volume précédent. Le contenu du manuscrit est varié. Il discute de deux types d'amour. La première partie couvre l'amour de la vérité (haqiqa) envers la création de Dieu. Vérité transcendantale. La deuxième partie est l'amour pour l'être cher (Muhammad ou une autre personne) et l'amour pour les femmes au sens religieux islamique. La partie 3 discute de l'importance de diffuser le discours coranique pour convertir les gens. La quatrième partie traite des moyens de différencier une âme propre («ruuhu laabdo»). Dans la discussion de la quatrième partie, l'auteur s'inspire du Coran et du Hadith. La partie 5 traite de la façon d'éliminer la confusion et d'établir la vérité. La partie 6 enseigne des leçons de vie inspirées des femmes modèles de l'islam telles que Fatimah bint Rasoul, Mariam bint Imran, Assietu binti Muzahim, Khadija et Aicha
A Non-blind Color Image Watermarking Scheme Resistent Against Geometric Attacks
No full textA non-blind color image watermarking scheme using principle component analysis, discrete wavelet transform and singular value decomposition is proposed. The color components are uncorrelated using principle component analysis. The watermark is embedded into the singular values of discrete wavelet transformed sub-band associated with principle component containing most of the color information. The scheme was tested against various attacks (including histogram equalization, rotation, Gaussian noise, scaling, cropping, Y-shearing, X-shearing, median filtering, affine transformation, translation, salt & pepper, sharpening), to check robustness. The results of proposed scheme are compared with state-of-the-art existing color watermarking schemes using normalized correlation coefficient and peak signal to noise ratio. The simulation results show that proposed scheme is robust and imperceptible
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