Applying the language acquisition model to the solution small language processing tasks by Dz. I. Kachkou

“…The relationship between the formal recording of utterances and their translation into the target low-resource language is learned by modeling the child's acquisition of vocabulary and grammar of the language. …”
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Optimization of sustainable corn–cattle integration in Gorontalo Province using goal programming by Imran Supriyo, Indriani Ria, Hippy Mohammad Zubair

“…Therefore, finding better ways to use farm waste as animal food and cow manure as corn plant fertilizer is of utter importance. Goal programming enables a combination of production because it can complete several goals simultaneously. …”
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Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

“…Recurrent neural networks (RNN) like long short-term memory (LSTM), gated recurrent units (GRU) and their variants that operate sequentially are often used to learn time series sequences of the signal, analyze long-term dependencies and the contexts of the utterances in the speech signal. However, due to their sequential operation, they encounter problems in convergence and sluggish training that uses a lot of memory resources and encounters the vanishing gradient problem. …”
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Kořeny teorie spravedlivé války: od Platóna ke Grotiovi by Jiří Hutečka

“…In this way, the text starts with basically realist attitudes towards warfare in classical Greece (as exemplified by Thukydides), then moves to Plato's and Aristoteles' first efforts to connect warfare with morality (and with their utterly ethnocentric interpretation of it). Then, with little pause made for Roman “utilitarian turn” in the just war thinking, the text focuses its attention at Christian attitudes towards warfare, their efforts to accommodate it in their system of beliefs (as with Tertullian, Origen, or Ambrose), and their success in creating a suitable just war theory based on ideas of former ancient authors as well as on Christian teachings (as with St. …”
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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…In addition to emotional features that exist in each modality, the text modality consists of semantic and grammatical tendencies in the uttered sentences. Spatial and temporal features have been extracted sequentially in deep learning-based models using convolutional neural networks (CNN) followed by recurrent neural networks (RNN) which may not only be weak at the detection of the separate spatial-temporal feature representations but also the semantic tendencies in speech. …”
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Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise by Abdurahim Abdurahim, Syahroni Hidayat

“…The noisy speech signal used is the recorded utterance Indonesian vowels a, i, u, e, é, o, and ó. …”
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