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Repositori Institusi
LEKSIKON DALAM PERNIKAHAN ADAT MELAYU RIAU: KAJIAN ETNOLINGUISTIK
The research entitles Lexicon in Malay Traditional Wedding: Etnolinguistic Study. This research is inspired by uniqueness traditiona Malay wedding. The aim of this research is to describe the terms of series of activities and speech acts used in each...
Repositori Institusi
75 Important invasive alien plant species in Indonesia
This book has been produced in response to a need informing the public for about Invasive Alien Plant Species (IAPS). Seventy five species were selected as the first effort to raise the knowledge on invasive plant species. This book was inspired by s...
Jurnal Institusi
Pendekatan Wavenet-Inspired Dan LSTM Untuk Prediksi Magnitudo Gempa Sebagai Upaya Transformasi Digital Mitigasi Bencana Di Indonesia
SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; Vol. 4 No. 1 (2025): Prosiding SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; 368-375
Indonesia merupakan salah satu negara dengan aktivitas seismik tertinggi di dunia sehingga pengembangan sistem peringatan dini berbasis teknologi digital menjadi kebutuhan mendesak. Penelitian ini memanfaatkan pendekatan deep learning untuk mendukung...
Jurnal Institusi
Pendekatan Wavenet Inspired dan LSTM untuk Prediksi Magnitudo Gempa Sebagai Upaya Transformasi Digital Mitigasi Bencana di Indonesia
SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; Vol. 4 No. 1 (2025): Prosiding SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; 519-526
Indonesia merupakan salah satu negara dengan aktivitas seismik tertinggi di dunia sehingga pengembangan sistem peringatan dini berbasis teknologi digital menjadi kebutuhan mendesak. Penelitian ini memanfaatkan pendekatan deep learning untuk mendukung...
Jurnal Institusi
LEKSIKON DALAM PERNIKAHAN ADAT MELAYU RIAU: KAJIAN ETNOLINGUISTIK
Jurnal Ilmu Budaya; Vol. 12 No. 2 (2016); 78-87
The research entitles Lexicon in Malay Traditional Wedding: Etnolinguistic Study. This research is inspired by uniqueness traditiona Malay wedding. The aim of this research is to describe the terms of series of activities and speech acts used in each...
Jurnal Institusi
Product Packaging Innovation as a Means of Increasing Consumer Attractiveness in UMKM Kubang Jaya Village: Inovasi Pengemasan Produk sebagai Sarana Peningkatan Daya Tarik Konsumen pada UMKM Desa Kubang Jaya
Dinamisia : Jurnal Pengabdian Kepada Masyarakat; Vol. 7 No. 1 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat; 187-195
Many efforts can be made to improve and develop MSMEs. One of them is to improve product quality and packaging. Unique, attractive and creative packaging will invite the desire to buy the product. In Kubang Jaya Village there are several MSME busines...
Jurnal Institusi
Theme-Rheme Pattern: Its Contribution to Cohesion and Coherence in The Students’ Research Background
REiLA : Journal of Research and Innovation in Language; Vol. 6 No. 1 (2024): REiLA : Journal of Research and Innovation in Language ; 94-110
Cohesion and coherence are pivotal aspects of academic writing. Although the analysis of these elements in academic texts has garnered considerable attention from researchers worldwide, there remains a notable paucity of studies focused on the resear...
Jurnal Institusi
Weaving Wisdom into Words: E-Modules for Short Story Writing Inspired by South Sumatra's Heritage
REiLA : Journal of Research and Innovation in Language; Vol. 6 No. 2 (2024): REiLA : Journal of Research and Innovation in Language ; 143-159
The integration of digital tools in education often overlooks the potential of cultural enrichment in teaching materials, especially in enhancing writing skills. This study pioneers the development of e-modules infused with South Sumatra's local...
Jurnal Institusi
A Study of High School Students’ English Learning Enjoyment (ELE) in China
Utamax : Journal of Ultimate Research and Trends in Education; Vol. 3 No. 3 (2021): Utamax : Journal of Ultimate Research and Trends in Education; 142-153
English Learning Enjoyment (ELE) potentially sustains students’ motivation of English learning, especially under China’s fresh context where National English Curriculum Standards for Senior High Schools issued in 2017 has directed teachers to cul...
PubMed
W-WaveNet: A multi-site water quality prediction model incorporating adaptive graph convolution and CNN-LSTM
PLoS One
Water quality prediction is of great significance in pollution control, prevention, and management. Deep learning models have been applied to water quality prediction in many recent studies. However, most existing deep learning models for water quali...
PubMed
Multitask Attention-Based Neural Network for Intraoperative Hypotension Prediction
Bioengineering (Basel)
Timely detection and response to Intraoperative Hypotension (IOH) during surgery is crucial to avoid severe postoperative complications. Although several methods have been proposed to predict IOH using machine learning, their performance still has sp...
PubMed
Lightweight sparse optoacoustic image reconstruction via an attention-driven multi-scale wavelet network
Photoacoustics
Photoacoustic tomography (PAT) provides high-contrast, high-resolution biomedical images at rapid speeds. However, the quality of these images is highly sensitive to sampling density. Sparse sampling can significantly reduce equipment costs but often...
PubMed
Comparative Analysis of Majority Language Influence on North Sámi Prosody Using WaveNet-Based modeling
Lang Speech
The Finnmark North Sámi is a variety of North Sámi language, an indigenous, endangered minority language spoken in the northernmost parts of Norway and Finland. The speakers of this language are bilingual, and regularly speak the majority language ...
PubMed
Adaptive signal recognition in mines based on deep learning
Sci Rep
To address the challenges of low recognition accuracy and high system complexity arising from the coexistence of multiple wireless communication technologies and severe signal interference in the complex wireless environment of coal mines, this paper...
PubMed
FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
J Biomol NMR
In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies o...
PubMed
Automatic Detection of Abnormal EEG Signals Using WaveNet and LSTM
Sensors (Basel)
Neurological disorders have an extreme impact on global health, affecting an estimated one billion individuals worldwide. According to the World Health Organization (WHO), these neurological disorders contribute to approximately six million deaths an...
PubMed
News Sentiment Informed Time-series Analyzing AI (SITALA) to curb the spread of COVID-19 in Houston
Expert Syst Appl
Coronavirus disease (COVID-19) has evolved into a pandemic with many unknowns. Houston, located in the Harris County of Texas, is becoming the next hotspot of this pandemic. With a severe decline in international and inter-state travel, a model at th...
PubMed
Advanced deep learning approach for the fault severity classification of rolling-element bearings
Sci Rep
A hybrid methodology for bearing fault and severity analysis using param, eter-optimized variational mode decomposition (VMD) and deep learning (DL) algorithms is presented in this study. Different localized defects are artificially seeded at the con...
PubMed
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Transact Mach Learn Res
Time series data analysis is a critical component in various domains such as finance, healthcare, and meteorology. Despite the progress in deep learning for time series analysis, there remains a challenge in addressing the non-stationary nature of ti...
PubMed
Spectral Representation of Neurochemicals With Phase, Frequency Offset, and Lineshape Invariance: Application to JPRESS for In Vivo Concentration and T(2) Mapping by Deep Learning
Magn Reson Med
PURPOSE: Using artificial intelligence neural networks to generate a representation that maps the input directly to neurochemical concentrations and metabolite‐level average transverse relaxation times (T(2)). METHODS: The proposed model used time...