Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. [PDF]
Bo-Qi L, Ding-Jie Z, Yang Z, Long-Yu S.
europepmc +1 more source
Incoherent Digital Holography Empowered by Wavefront and Information Engineering: A Review
Advancements in incoherent digital holography (IDH) have been achieved via wavefront engineering (using spatial light modulators, diffractive optics, and metasurfaces) and information engineering (using compressive sensing and deep learning). This paper presents an overview of IDH with wavefront and information engineering, paving the way toward its ...
Teruyoshi Nobukawa
wiley +1 more source
Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies. [PDF]
Yao J+5 more
europepmc +1 more source
Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling
Modeling nonlinear pulse evolution in optical systems is key to advancing photonic technologies. A transformer‐based encoder‐decoder framework is proposed for both forward and inverse modeling, applied to supercontinuum generation. This approach captures complex dynamics efficiently, outperforming traditional methods in speed.
Dinesh Kumar Murugan+2 more
wiley +1 more source
Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. [PDF]
Eser A, Erdoğan SB.
europepmc +1 more source
Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley +1 more source
Predicting the availability of power line communication nodes using semi-supervised learning algorithms. [PDF]
Moussa K+4 more
europepmc +1 more source
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang+4 more
wiley +1 more source
Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach. [PDF]
Afifuddin M, Seo W.
europepmc +1 more source