Results 171 to 180 of about 16,354 (214)
Discovering weighted patterns in intron sequences using self-adaptive harmony search and back-propagation algorithms. [PDF]
Huang YF, Wang CM, Liou SW.
europepmc +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
A novel harmony search-K means hybrid algorithm for clustering gene expression data. [PDF]
Nazeer KA, Sebastian M, Kumar SM.
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve-Point Economic Load Dispatch.
Karthikeyan M, Raja TS.
europepmc +1 more source
Efficient and accurate optimal linear phase FIR filter design using opposition-based harmony search algorithm. [PDF]
Saha SK +5 more
europepmc +1 more source
A multimodal laser‐induced graphene (LIG)‐based flexible sensor is developed to detect proximity and contact signals. Integrated into a soft robotic hand, it enables vision‐free object searching and grasping. Combined with a convolutional neural network, the system achieves accurate material and texture recognition, enhancing the capability of ...
Youning Duo +9 more
wiley +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
From Concept to Perception: Equestrian Definitions of Harmony and Visual Attention in Horse-Rider Evaluation. [PDF]
Wolframm IA +4 more
europepmc +1 more source

