Results 41 to 50 of about 59,289 (169)

User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation

IEEE Access
User trajectory prediction is a critical component in enhancing network resource management and improving Quality of Service (QoS) in 5G cellular networks. This research addresses the challenge of accurately predicting user trajectories by leveraging two
Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman   +5 more
doaj   +1 more source

Exploring Performance Degradation of Proton Exchange Membrane Fuel Cells Based on Diffusion Transformer Model

Energies
Proton exchange membrane fuel cells (PEMFCs) stand at the forefront of energy conversion technology, efficiently converting the chemical energy of hydrogen and oxygen directly into electricity.
Lingling Lv, Pucheng Pei, Peng Ren, He Wang, Geng Wang   +4 more
doaj   +1 more source

Enhancing the Transformer Model with a Convolutional Feature Extractor Block and Vector-Based Relative Position Embedding for Human Activity Recognition

Sensors
The Transformer model has received significant attention in Human Activity Recognition (HAR) due to its self-attention mechanism that captures long dependencies in time series.
Xin Guo, Young Kim, Xueli Ning, Se Dong Min   +3 more
doaj   +1 more source

Completion of partial chemical equations

Machine Learning: Science and Technology
Inferring missing molecules in chemical equations is an important task in chemistry and drug discovery. In fact, the completion of chemical equations with necessary reagents is important for improving existing datasets by detecting missing compounds ...
Federico Zipoli, Zeineb Ayadi, Philippe Schwaller, Teodoro Laino, Alain C Vaucher   +4 more
doaj   +1 more source

Model transformations and tool integration [PDF]

Software & Systems Modeling, 2005
Model transformations are increasingly recognised as being of significant importance to many areas of software development and integration. Recent attention on model transformations has particularly focused on the OMGs Queries/Views/Transformations (QVT) Request for Proposals (RFP).
openaire   +3 more sources

MixSegNet: A Novel Crack Segmentation Network Combining CNN and Transformer

IEEE Access
In the domain of road inspection and structural health monitoring, precise crack identification and segmentation are essential for structural safety and disaster prediction.
Yang Zhou, Raza Ali, Norrima Mokhtar, Sulaiman Wadi Harun, Masahiro Iwahashi   +4 more
doaj   +1 more source

Classification of High-Resolution Chest CT Scan Images Using Adaptive Fourier Neural Operators for COVID-19 Diagnosis

COVID
In the pursuit of advancing COVID-19 diagnosis through imaging, this paper introduces a novel approach utilizing adaptive Fourier neural operators (AFNO) for the analysis of high-resolution computed tomography (HRCT) chest images.
Anusha Gurrala, Krishan Arora, Himanshu Sharma, Shamimul Qamar, Ajay Roy, Somenath Chakraborty   +5 more
doaj   +1 more source

Optimizing Patent Prior Art Search: An Approach Using Patent Abstract and Key Terms

Information
The rapid advancement of technology has led to a sustained accumulation of patent documents globally, as newly filed applications add to an ever-expanding repository of prior art.
Amna Ali, Mohammad Ali Humayun, Liyanage Chandratilak De Silva, Pg Emeroylariffion Abas   +3 more
doaj   +1 more source

SATS: simplification aware text summarization of scientific documents

Frontiers in Artificial Intelligence
Simplifying summaries of scholarly publications has been a popular method for conveying scientific discoveries to a broader audience. While text summarization aims to shorten long documents, simplification seeks to reduce the complexity of a document. To
Farooq Zaman, Faisal Kamiran, Matthew Shardlow, Saeed-Ul Hassan, Asim Karim, Naif Radi Aljohani   +5 more
doaj   +1 more source

Sea Surface Temperature Prediction Based on Adaptive Coordinate-Attention Transformer

Journal of Marine Science and Engineering
Sea surface temperature (SST) serves as a critical indicator of oceanic thermodynamic processes and climate variability, exerting essential influence on ocean fronts, typhoon tracks, and monsoon evolution.
Naihua Ji, Yue Dai, Menglei Xia, Shuai Guo, Tianhui Qiu, Lu Yu   +5 more
doaj   +1 more source