Machine learning research trends in Africa: a 30 years overview with bibliometric analysis review
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …
models are employed in every field, such as natural language processing, pattern …
Deep learning based ensemble approach for probabilistic wind power forecasting
Due to the economic and environmental benefits, wind power is becoming one of the more
promising supplements for electric power generation. However, the uncertainty exhibited in …
promising supplements for electric power generation. However, the uncertainty exhibited in …
Deep belief network based deterministic and probabilistic wind speed forecasting approach
With the rapid growth of wind power penetration into modern power grids, wind speed
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
Bibliometric and Scientometric analysis on CSR practices in the banking sector
This paper provides a bibliometric and Scientometric analysis of the corporate social
responsibility (CSR) in banking sector. Our study analyzes 551 articles from the Scopus …
responsibility (CSR) in banking sector. Our study analyzes 551 articles from the Scopus …
Deep learning for Arabic NLP: A survey
The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …
as computer vision, natural language processing (NLP) and speech processing. Many DL …
Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
G Fu - Energy, 2018 - Elsevier
Due to the high energy consumption in buildings, cooling load forecasting plays a crucial
role in the planning, control and operation of heating, ventilating and air-conditioning …
role in the planning, control and operation of heating, ventilating and air-conditioning …
Automatic methods and neural networks in Arabic texts diacritization: a comprehensive survey
MM Almanea - IEEE Access, 2021 - ieeexplore.ieee.org
Arabic diacritics are signs used in Arabic orthography to represent essential
morphophonological and syntactic information. It is a common practice to leave out those …
morphophonological and syntactic information. It is a common practice to leave out those …
Arabic diacritization: Stats, rules, and hacks
In this paper, we present a new and fast state-of-the-art Arabic diacritizer that guesses the
diacritics of words and then their case endings. We employ a Viterbi decoder at word-level …
diacritics of words and then their case endings. We employ a Viterbi decoder at word-level …
Highly effective Arabic diacritization using sequence to sequence modeling
Arabic text is typically written without short vowels (or diacritics). However, their presence is
required for properly verbalizing Arabic and is hence essential for applications such as text …
required for properly verbalizing Arabic and is hence essential for applications such as text …
[HTML][HTML] Classifying and diacritizing Arabic poems using deep recurrent neural networks
Poetry has a prominent history in Arabic literature. The classical Arabic poetry has 16 m that
vary in rhythm and target purpose. Chanting a poem eloquently requires knowing the …
vary in rhythm and target purpose. Chanting a poem eloquently requires knowing the …