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Eco-pesantren: Islamic Education in Forest Conservation Landscapes

Fudan Journal of the Humanities and Social sciences 2023年第4期16卷 541-567页

作者： Subaidi Ahmad Tantowi Nur Cholid Mahfudz Junaedi Waluyo Mukh Nursikin Nahdlatul‘Ulama Islamic university of Jepara JeparaIndonesia Islamic Collage of Kendal KendalIndonesia Wahid Hasyim university of Semarang SemarangIndonesia wonosobo university of al-quran science WonosoboIndonesia Nahdlatul Ulama university of Surakarta SurakartaIndonesia State Islamic university of Salatiga SalatigaIndonesia

This article examines Islamic boarding schools(pesantren)as traditional Indonesian Islamic educational institutions,showing a new face as agents in nature conserva-tion,especially forest conservation and considering Indonesia as a country with the best tropical forest land in the world and pesantren as indigenous Islamic educa-tional institutions owned by *** study finds pesantren as the landscape of a forest conservation movement started by the al-Ittifaq pesantren and the Ecope-santren *** focusing on the eco-centric paradigm where Islamic teach-ings teach the concept of forest conservation,this concept is rarely taught in tra-ditional Islamic educational institutions such as *** results found that the eco-pesantren model was created by integrating religious education and ecolog-ical conceptions of dialectical qauliyah and kauniyah verses through the involve-ment of community ***'s leadership behaviour is a key factor where all three(meditation,mediation,and reflection)are formed based on the two powers of authority in Weber's tripartite(legal-formal and transformational).This study con-tributes that Islamic education is a religious institution that teaches forest conser-vation movements through an eco-pesantren *** research contributes that pesantren can synergise religion and forest conservation movements through the eco-pesantrenformat.

关键词： Islamic education Forest conservation Eco-pesantren Community involvement

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Interval-Valued Neutrosophic Soft Expert Set from Real Space to Complex Space

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Computer Modeling in Engineering & sciences 2022年第7期132卷 267-293页

作者： Faisal al-Sharqi Abd Ghafur Ahmad Ashraf al-quran Department of Mathematical sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Department of Mathematics Faculty of Education for Pure SciencesUniversity of AnbarRamadi55431Iraq Preparatory Year Deanship King Faisal UniversityHofufAl-Ahsa31982Saudi Arabia

A fuzzy system is a novel computing technique that accesses uncertain information by fuzzy *** the decision-making process,fuzzy system and soft computing are effective tools that are tolerant to imprecision,uncertainty,and partial *** fuzzy systems have been developed with the appearance of interval fuzzy,dual fuzzy,hesitant fuzzy,neutrosophic,plithogenic representations,***,by capturing compound features and convey multi-dimensional data,complex numbers are utilized to generalize fuzzy and neutrosophic fuzzy *** this paper,a representation of neutrosophic soft expert systems based on the real and complex numbers in the interval form is *** interval-valued neutrosophic soft expert set(I-VNSES)is defined,and the interval-valued complex neutrosophic soft expert set(I-VCNSES)is formally generalized from the concept of *** both I-VNSES and I-VCNSES,we introduce the relevant basic theoretical operations and study their *** on these new concepts,a generalized algorithm is proposed and applied to handle the imbedded indeterminacy in the two-dimensional interval *** proposed algorithm is tested on the economic factors that affected the Malaysian economy in 2020 to see which ones are the most ***,a comparison of three current approaches is used to back up this study.

关键词： Interval-valued neutrosophic set complex neutrosophic set interval-valued complex neutrosophic set soft expert set decision making

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Visual Lip-Reading for quranic Arabic alphabets and Words Using Deep Learning

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Computer Systems science & Engineering 2023年第9期46卷 3037-3058页

作者： Nada Faisal aljohani Emad Sami Jaha Department of Computer science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

The continuing advances in deep learning have paved the way for several challenging *** such idea is visual lip-reading,which has recently drawn many research ***-reading,often referred to as visual speech recognition,is the ability to understand and predict spoken speech based solely on lip movements without using *** to the lack of research studies on visual speech recognition for the Arabic language in general,and its absence in the quranic research,this research aims to fill this *** paper introduces a new publicly available Arabic lip-reading dataset containing 10490 videos captured from multiple viewpoints and comprising data samples at the letter level(i.e.,single letters(single alphabets)and quranic disjoined letters)and in the word level based on the content and context of the book al-Qaida *** research uses visual speech recognition to recognize spoken Arabic letters(Arabic alphabets),quranic disjoined letters,and quranic words,mainly phonetic as they are recited in the Holy quran according to quranic study aid entitled al-Qaida *** study could further validate the correctness of pronunciation and,subsequently,assist people in correctly reciting ***,a detailed description of the created dataset and its construction methodology is *** new dataset is used to train an effective pre-trained deep learning CNN model throughout transfer learning for lip-reading,achieving the accuracies of 83.3%,80.5%,and 77.5%on words,disjoined letters,and single letters,respectively,where an extended analysis of the results is ***,the experimental outcomes,different research aspects,and dataset collection consistency and challenges are discussed and concluded with several new promising trends for future work.

关键词： Visual speech recognition lip-reading deep learning quranic Arabic dataset Tajwid

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