Results 41 to 50 of about 18,004 (194)

Prediction of RNA m6A Methylation Sites in Multiple Tissues Based on Dual-branch Residual Network

Shengwu huaxue yu shengwu wuli jinzhan
ObjectiveN6-methyladenosine (m6A), the most prevalent epigenetic modification in eukaryotic RNA, plays a pivotal role in regulating cellular differentiation and developmental processes, with its dysregulation implicated in diverse pathological conditions.
GUO Xiao-Tian, GAO Wei, CHEN Dan, LI Hui-Min, TAN Xue-Wen   +4 more
doaj   +1 more source

Bidirectional Long Short Term Memory Method and Word2vec Extraction Approach for Hate Speech Detection

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020
Currently, the discussion about hate speech in Indonesia is warm, primarily through social media. Hate speech is communication that disparages a person or group based on characteristics such as (race, ethnicity, gender, citizenship, religion and ...
Auliya Rahman Isnain, Agus Sihabuddin, Yohanes Suyanto   +2 more
doaj   +1 more source

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Attention-Based BiLSTM for Negation Handling in Sentimen Analysis

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020
Research on sentiment analysis in recent years has increased. However, in sentiment analysis research there are still few ideas about the handling of negation, one of which is in the Indonesian sentence. This results in sentences that contain elements of
Riszki Wijayatun Pratiwi, Yunita Sari, Yohanes Suyanto   +2 more
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Comparative Analysis of LSTM, BiLSTM, Stacked LSTM, and Attention-LSTM for Multi-Resolution Rainfall Forecasting in Bali

Journal of Applied Informatics and Computing
Accurate rainfall forecasting remains challenging in tropical islands such as Bali, Indonesia, where localized convective rainfall limits the reliability of physics-based models.
Muhammad Nur Rizqi, Cahya Sugiarto, Wisnu Syahid   +2 more
doaj   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

CNN-BiLSTM prediction (20,000).

, 2019
CNN-BiLSTM prediction (20,000).
Ruixiong Ma (7866257), Haiou Wang (7866260), Siquan Hu (7866254)   +2 more
core   +1 more source

Paper Real-time Data Processing of Wide-area Digital Metering Equipment for Electric Power Based on Deep Learning Algorithms

Journal of Applied Science and Engineering
The increasing complexity of modern power grids and the integration of advanced monitoring technologies have significantly enhanced real-time system monitoring.
Dongsheng Xue, Jiaxing Zhao, Zhengying Yang, Wenwen Wang, Na Wang, Yingcai Gao   +5 more
doaj   +1 more source

High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net

Energy Science &Engineering, EarlyView.
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li, Yong‐Qiang Chai, Lian Shi, Fu‐Gang Wang, Mi Liu   +4 more
wiley   +1 more source