Results 21 to 30 of about 737,102 (306)
Efficient Smooth Tensor Train and Tensor Ring Completion for Image Classification Enhancement
This paper deals with studying the data completion problem for enhancing the image classification task under the pixel removal scenario. In some applications, it happens that a part of the pixels of a given image is lost due to several issues, such as ...
Salman Ahmadi-Asl +5 more
doaj +1 more source
The emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial attacks.
Ekaterina Mozhegova +5 more
doaj +1 more source
Representation of Recorded Knowledge and Extended Date/Time Format: A Case Study of the Digital Public Library of America [PDF]
This presentation presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and
Alemneh, Daniel Gelaw +4 more
core +3 more sources
The complexity of the cerebral cortex underlies its function and distinguishes us as humans. Here, we present a principled veridical data science methodology for quantitative histology that shifts focus from image-level investigations towards neuron ...
Andrija Štajduhar +4 more
doaj +1 more source
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan +15 more
wiley +1 more source
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source
Commonsense knowledge representation and reasoning with fuzzy neural networks [PDF]
This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning.
Kouzani, Abbas, Sammut, Karl, He, Fangpo
core
Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel +15 more
wiley +1 more source
Towards a knowledge graph for pre-/probiotics and microbiota–gut–brain axis diseases
Scientific publications present biological relationships but are structured for human reading, making it difficult to use this resource for semantic integration and querying.
Ting Liu +4 more
doaj +1 more source
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source

