Results 61 to 70 of about 17,753 (215)
Smart Chaining: Templing and Temple Search
Hash tables continue to be at the forefront of applications that require fast data lookup, but their usefulness in practice depends on effective collision resolution. Classical approaches like chaining (linked lists) and open addressing (linear/quadratic/
Rajeev Ranjan Kumar Tripathi +4 more
doaj +1 more source
Quantum Period Finding is Compression Robust
We study quantum period finding algorithms such as Simon and Shor (and its variants Eker{\aa}-H{\aa}stad and Mosca-Ekert). For a periodic function $f$ these algorithms produce -- via some quantum embedding of $f$ -- a quantum superposition $\sum_x |x ...
May, Alexander, Schlieper, Lars
core
Our study presents a tumour‐informed circulating tumour DNA (ctDNA) workflow designed to enhance the detection of recurrence in head and neck cancer patients, addressing key challenges such as low ctDNA tumour fractions and tumour heterogeneity. Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment
Xiaomin Huang +8 more
wiley +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Hybrid Classical–Quantum Text Search Based on Hashing
The paper considers the problem of finding a given substring in a text. It is known that the complexity of a classical search query in an unordered database is linear in the length of the text and a given substring.
Farid Ablayev +2 more
doaj +1 more source
Subword Semantic Hashing for Intent Classification on Small Datasets
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchmarks.
Alonso, Pedro +8 more
core +1 more source
PointGeo: Geometry Transformer for Point Cloud Analysis
ABSTRACT Point cloud processing plays a crucial role in tasks such as point cloud classification, partial segmentation and semantic segmentation. However, existing processing frameworks are constrained by several challenges, such as recognising features in irregular and complex spatial structures, large attention parameter volumes and limitations in ...
Li An +5 more
wiley +1 more source
A Novel Flexible Kernel Density Estimator for Multimodal Probability Density Functions
ABSTRACT Estimating probability density functions (PDFs) is critical in data analysis, particularly for complex multimodal distributions. traditional kernel density estimator (KDE) methods often face challenges in accurately capturing multimodal structures due to their uniform weighting scheme, leading to mode loss and degraded estimation accuracy ...
Jia‐Qi Chen +5 more
wiley +1 more source
Quantum Entanglement Capacity with Classical Feedback
For any quantum discrete memoryless channel, we define a quantity called quantum entanglement capacity with classical feedback ($E_B$), and we show that this quantity lies between two other well-studied quantities.
A. W. Leung +5 more
core +1 more source
Current application of blockchain technology in healthcare and its potential roles in Urology
Objective To assess the current uses of blockchain technology in surgery and explore potential applications in urology. Methods A systematic literature review and critical appraisal was performed. The PubMed database was searched for all relevant papers published in English, between 2003 and 2023, on blockchain and surgery, and urology.
Sulleyman Felemban +6 more
wiley +1 more source

