Results 121 to 130 of about 2,419,123 (314)
Molecular characterization and biodiversity of wood-decaying fungi in French Guiana [PDF]
, 2014 Fungi from tropical regions are currently under-represented in the classification system. Indeed, difficult access to tropical forests and irregular occurrence carpophores make it complicated to study fungus species in such environments, unlike in ...
Beauchêne, Jacques +3 more
core
Advanced Functional Materials, EarlyView.A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo +14 more
wiley +1 more source
Pahiatua borough : the formative years (1881-1892) : a thesis presented in partial fufilment of the requirements for the degree of Master of Arts in History at Massey University [PDF]
, 1973 To the New Zealand citizen of the 1970's, surrounded either by the tall buildings of an urban landscape, or the predominantly open fields of a rural environment, the terms Seventy and Forty mile bush may connote more of a legendary forest tract, than the
Bentley, Byron John
core
Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Isolation forests: looking beyond tree depth
, 2021 The isolation forest algorithm for outlier detection exploits a simple yet effective observation: if taking some multivariate data and making uniformly random cuts across the feature space recursively, it will take fewer such random cuts for an outlier to be left alone in a given subspace as compared to regular observations.
openaire +2 more sources
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Isolation Forests for Symbolic Data as a Tool for Outlier Mining
EkonometriaAim: Outlier detection is a key part of every data analysis. Although many definitions of outliers can be found in the literature, all of them emphasize that outliers are objects that are in some way different from other objects in the dataset.
Marcin Pełka, Andrzej Dudek
doaj
Preference isolation forest for structure-based anomaly detection
Pattern RecognitionAccepted at Pattern Recognition (2025)
Filippo Leveni +3 more
openaire +2 more sources
Revisiting randomized choices in isolation forests
, 2021 Isolation forest or "iForest" is an intuitive and widely used algorithm for anomaly detection that follows a simple yet effective idea: in a given data distribution, if a threshold (split point) is selected uniformly at random within the range of some variable and data points are divided according to whether they are greater or smaller than this ...
openaire +2 more sources
Charge Transport in Ternary Charge‐Transfer Solid Solution Single Crystals
Advanced Functional Materials, EarlyView.This study deconvolutes the roles of indirect (superexchange) and direct electronic coupling on charge transport in single crystals of an organic charge‐transfer molecular semiconductor (OSC). This model system elegantly demonstrates that structural defects introduced by chemical dopants play a significant role in the electronic performance ...
Jonathan C. Novak +7 more
wiley +1 more source