Results 91 to 100 of about 573,498 (278)
Single-channel speech enhancement based on joint constrained dictionary learning
To improve the performance of speech enhancement in a complex noise environment, a joint constrained dictionary learning method for single-channel speech enhancement is proposed, which solves the “cross projection” problem of signals in the joint ...
Linhui Sun +3 more
doaj +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Recently, many multi-atlas patch-based segmentation methods have been proposed and successfully implemented in various medical image applications. However, a precise segmentation of brain subcortical structures in a magnetic resonance image is still ...
Xiang Li +3 more
doaj +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
The effect of dictionary training in the teaching of English as a foreign language
The process of teaching any subject involves the use of all resources available to achieve efficient/effective result. When dealing with teaching foreign languages, we have noticed that such a traditional and apparently well-known tool as a dictionary is
Cote González, Margarita +1 more
doaj +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent
Sparse representation of signals via an overcomplete dictionary has recently received much attention as it has produced promising results in various applications.
Zunyi Tang +3 more
doaj +1 more source
ABSTRACT Australia's Robodebt scheme, an automated debt recovery program introduced in 2016, was exposed by the Robodebt Royal Commission (RC) as a serious failure of public administration and source of significant harm for thousands of Australians. Through a critical discourse analysis (CDA) of Australian news media, this study explores whether the RC'
Rebecca Coleman‐Hicks +1 more
wiley +1 more source
Learning Kernel-Based Robust Disturbance Dictionary for Face Recognition
In this paper, a kernel-based robust disturbance dictionary (KRDD) is proposed for face recognition that solves the problem in modern dictionary learning in which significant components of signal representation cannot be entirely covered.
Biwei Ding, Hua Ji
doaj +1 more source
Supported Decision‐Making Rights in Behaviour Support Policies
ABSTRACT Disability policy emphasises that people with disability have the right to exercise their will and preferences in their lives, and decision‐making support must be provided to realise this right if they request. One context in which people's will and preferences are often restricted is behaviour support.
Sally Robinson +6 more
wiley +1 more source

