Moth-flame optimization algorithm for feature selection: A review and future trends
A process must be followed in order to attain useful information from the available data. The
Knowledge Discovery in the Database (KDD)[3] is a general structure that defines the steps …
Knowledge Discovery in the Database (KDD)[3] is a general structure that defines the steps …
Waveform based speech coding using nonlinear predictive techniques: a systematic review
Speech coding is a technique that compresses speech signals into a smaller digital form,
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
Leveraging hypernetworks and learnable kernels for consumer energy forecasting across diverse consumer types
Consumer energy forecasting is essential for managing energy consumption and planning,
directly influencing operational efficiency, cost reduction, personalized energy management …
directly influencing operational efficiency, cost reduction, personalized energy management …
[HTML][HTML] Enhanced weight-optimized recurrent neural networks based on sine cosine algorithm for wave height prediction
Constructing offshore and coastal structures with the highest level of stability and lowest
cost, as well as the prevention of faulty risk, is the desired plan that stakeholders seek to …
cost, as well as the prevention of faulty risk, is the desired plan that stakeholders seek to …
[HTML][HTML] A Survey on Biomimetic and Intelligent Algorithms with Applications
H Li, B Liao, J Li, S Li - Biomimetics, 2024 - pmc.ncbi.nlm.nih.gov
The question “How does it work” has motivated many scientists. Through the study of natural
phenomena and behaviors, many intelligence algorithms have been proposed to solve …
phenomena and behaviors, many intelligence algorithms have been proposed to solve …
Autoregressive+ Chain of Thought= Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer
The Transformer architecture excels in a variety of language modeling tasks, outperforming
traditional neural architectures such as RNN and LSTM. This is partially due to its …
traditional neural architectures such as RNN and LSTM. This is partially due to its …
[HTML][HTML] Automatic damage detection and data completion for operational bridge safety using convolutional echo state networks
Structural response data might be partially missing during acquisition and transmission by a
structural health monitoring (SHM) system, affecting subsequent structural damage …
structural health monitoring (SHM) system, affecting subsequent structural damage …
Optimized fuzzy logic and sliding mode control for stability and disturbance rejection in rotary inverted pendulum
This paper presents a novel and comprehensive control framework for the Rotary Inverted
Pendulum (RIP), focusing on a hybrid control strategy that addresses the limitations of …
Pendulum (RIP), focusing on a hybrid control strategy that addresses the limitations of …
Self-Attention Convolutional Long Short-Term Memory for Short-Term Arctic Sea Ice Motion Prediction Using Advanced Microwave Scanning Radiometer Earth …
D Zhong, N Liu, L Yang, L Lin, H Chen - Remote Sensing, 2023 - mdpi.com
Over the past four decades, Arctic sea ice coverage has steadily declined. This loss of sea
ice has amplified solar radiation and heat absorption from the ocean, exacerbating both …
ice has amplified solar radiation and heat absorption from the ocean, exacerbating both …
Few-shot relation extraction on ancient Chinese documents
Featured Application Our work can be applied to ancient Chinese documents or other digital
humanity research fields with limited data. Abstract Traditional humanity scholars' inefficient …
humanity research fields with limited data. Abstract Traditional humanity scholars' inefficient …