Results 71 to 80 of about 13,592 (226)

Intelligence Collision Detection Using a Combination of Tuning Base Methods and Convolutional Long Short Term Memory Models

Smart Cities
Effective traffic control using Artificial Intelligence (AI) is essential to ensure safe passage for all road users. AI-based collision detection systems offer advanced mechanisms to prevent accidents and improve highway safety.
Mohammed Hilfi, Lubna Alazzawi
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Advanced sentiment analysis in online shopping: Implementing LSTM models analyzing E-commerce user sentiments

Nonlinear Engineering
This study addresses the accuracy challenges in e-commerce sentiment classification and thus provides valuable insight for businesses to enrich strategies toward the interpretation of customer feedback and improvement of product development. This article
Lu Liyuan
doaj   +1 more source

Comparative Analysis of LSTM Architectures for BPJS Drug Expenditure Forecasting Using Walk-Forward Validation

Journal of Applied Informatics and Computing
Drug demand planning in health facilities collaborating with BPJS Kesehatan is an important aspect in maintaining drug availability and improving service efficiency.
Rizkinawati ., Ifnu Wisma Dwi Prasetya, Nur Mahmudah   +2 more
doaj   +1 more source

Implementation of a novel technique for DNA sequence analysis using Machine Learning, Deep Learning and hybrid frameworks [PDF]

Revista Română de Informatică și Automatică
Current research relies significantly on DNA sequencing. It enables the advancement of a wide range of disciplines, including genomics, metagenomics, and phylogeny. DNA sequencing involves extracting and interpreting DNA strands.
Kshatrapal SINGH, Raja Sarath Kumar BODDU   +1 more
doaj   +1 more source

Facial Image Completion Using Bi-Directional Pixel LSTM

IEEE Access, 2020
Structural features of facial images directly affect the performance of the image completion model. However, most existing work does not make full use of spatial dependence to extract features, and cause the semantics and structure of completion being ...
Xiulan Yu, Jiahao He, Zufan Zhang
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition [PDF]

, 2005
In this paper, we carry out two experiments on the TIMIT speech corpus with bidirectional and unidirectional Long Short Term Memory (LSTM) networks. In the first experiment (framewise phoneme classification) we find that bidirectional LSTMoutperforms both unidirectional LSTMand conventional Recurrent Neural Networks (RNNs).
Alex Graves, Santiago Fernández, Jürgen Schmidhuber   +2 more
openaire   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments

Sensors
Accurate state-of-charge (SOC) estimation is essential for lithium-ion battery management, especially under low temperatures where traditional methods suffer from noise sensitivity and nonlinear dynamics.
Ran Li, Yiming Hao, Mingze Zhang, Yanling Lv   +3 more
doaj   +1 more source