Yunani Ahmad - Academia.edu (original) (raw)
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Papers by Yunani Ahmad
This research aims to discuss the opportunities and challenges of the sharia financial aspects an... more This research aims to discuss the opportunities and challenges of the sharia financial aspects and digital marketing as a driving force for the development of Micro Small Medium Enterprises (MSMEs). This research uses descriptive explorative approach and developed by using literature review approach or literature study. The theory or conceptual approach is done by referring from several sources, such as books, scientific journals, and the internet. All existing ideas are combined in a single frame of thought. The results show that the development of digital technology and the shari’a finance is increasing rapidly, in addition to being a challenge for the business world has also become a great opportunities and potential for economic and business improvement. Businesses must be able to follow the changing trend by utilizing information technology to drive business activities and increase competitiveness. Businesses must be able to create change and new innovations in the company that...
In this paper, we introduce a new modeling approach of texts for handwriting recognition based on... more In this paper, we introduce a new modeling approach of texts for handwriting recognition based on syllables. We propose a supervised syllabification approach for the French and English languages for building a vocabulary of syllables. Statistical n-gram language models of syllables are trained on French and English Wikipedia corpora. The handwriting recognition system, based on optical HMM context independent character models, performs a two pass decoding, integrating the proposed syllabic models. Evaluation is carried out on the French RIMES dataset and English IAM dataset by analyzing the performance for various coverage of the syllable models. We also compare the syllable models with lexicon and character n-gram models. The proposed approach reaches interesting performances thanks to its capacity to cover a large amount of out of vocabulary words working with a limited amount of syllables combined with statistical n-gram of reasonable order.
This research aims to discuss the opportunities and challenges of the sharia financial aspects an... more This research aims to discuss the opportunities and challenges of the sharia financial aspects and digital marketing as a driving force for the development of Micro Small Medium Enterprises (MSMEs). This research uses descriptive explorative approach and developed by using literature review approach or literature study. The theory or conceptual approach is done by referring from several sources, such as books, scientific journals, and the internet. All existing ideas are combined in a single frame of thought. The results show that the development of digital technology and the shari’a finance is increasing rapidly, in addition to being a challenge for the business world has also become a great opportunities and potential for economic and business improvement. Businesses must be able to follow the changing trend by utilizing information technology to drive business activities and increase competitiveness. Businesses must be able to create change and new innovations in the company that...
In this paper, we introduce a new modeling approach of texts for handwriting recognition based on... more In this paper, we introduce a new modeling approach of texts for handwriting recognition based on syllables. We propose a supervised syllabification approach for the French and English languages for building a vocabulary of syllables. Statistical n-gram language models of syllables are trained on French and English Wikipedia corpora. The handwriting recognition system, based on optical HMM context independent character models, performs a two pass decoding, integrating the proposed syllabic models. Evaluation is carried out on the French RIMES dataset and English IAM dataset by analyzing the performance for various coverage of the syllable models. We also compare the syllable models with lexicon and character n-gram models. The proposed approach reaches interesting performances thanks to its capacity to cover a large amount of out of vocabulary words working with a limited amount of syllables combined with statistical n-gram of reasonable order.