Results 111 to 120 of about 88,237 (314)
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen +17 more
wiley +1 more source
Efficient kNN classification algorithm for big data
K nearest neighbors (kNN) is an efficient lazy learning algorithm and has successfully been developed in real applications. It is natural to scale the kNN method to the large scale datasets. In this paper, we propose to first conduct a k-means clustering
Zong, M. +4 more
core +1 more source
A method getting the transitive kNN graph of a kNN graph preserving topology [PDF]
학위논문 (석사) -- 서울대학교 대학원 : 자연과학대학 수리과학부, 2020. 8. 강명주.In this paper, we recall some previous research of a bijection between transitive directed graphs and topologies on a finite set.
박정호
core
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu +13 more
wiley +1 more source
On the Inflation of KNN-Shapley Value
Shapley value-based data valuation methods, originating from cooperative game theory, quantify the usefulness of each individual sample by considering its contribution to all possible training subsets. Despite their extensive applications, these methods encounter the challenge of value inflation - while samples with negative Shapley values are ...
Ziao Yang +3 more
openaire +2 more sources
KNN-guided Adversarial Attacks [PDF]
In the last decade, we have witnessed a renaissance of Deep Learning models. Nowadays, they are widely used in industrial as well as scientific fields, and noticeably, these models reached super-human per-formances on specific tasks such as image classification.
Massoli FV, Falchi F, Amato G
openaire +1 more source
Analysis and evaluation of V*-kNN: An efficient algorithm for moving kNN queries
The moving k nearest neighbor (MkNN) query continuously finds the k nearest neighbors of a moving query point. MkNN queries can be efficiently processed through the use of safe regions.
Kulik, L +3 more
core +1 more source
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun +5 more
wiley +1 more source
The application of artificial intelligence (AI) has been widely used in various industrial sectors, including the hospitality industry. One of the applications that is widely used in the hospitality industry is sentiment analysis.
Yonathan Arya Dhamma +1 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

