Results 161 to 170 of about 170,096 (338)
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Angewandte Chemie, EarlyView.The selenium‐based tBuCz‐DiKTaSe emitter containing a twisted ortho‐disposed tert‐butylcarbazole shows high ΦPL, suppressed ACQ, fast kRISC and is chiral. The OLEDs show high EQEmax and alleviated efficiency roll‐off compared to devices with carbonyl‐based MR‐TADF emitters.
Jingxiang Wang +9 more
wiley +2 more sources
The Santa Clara, 2018-10-11 [PDF]
, 2018 https://scholarcommons.scu.edu/tsc/1076/thumbnail ...
Santa Clara University
core +7 more sources
On the physiological action of the venom of the Australian Black Snake (Pseudechis porphyriacus)
, 1895 Charles Martin
openalex +2 more sources
CHEMICAL AND PHARMACOLOGICAL PROPERTIES OF THE POTENT, SLOW CONTRACTING SUBSTANCE (KININ) IN WASP VENOM [PDF]
, 1954 M Schachter, E. M. Thain
openalex +1 more source
Advanced Intelligent Systems, EarlyView.A novel in situ XOR encryption/decryption method using a nanoelectromechanical physically unclonable function (NEM‐PUF) is introduced, enhancing security in data transfers between servers/clouds and edge devices. Integrated with the CMOS BEOL process, NEM‐PUFs utilize random stiction for entropy, enabling efficient bitwise XOR operations. This approach
Changha Kim +6 more
wiley +1 more source
Australasian Arachnology, Number 71, April 2005 [PDF]
, 2013 Nearly 20 years after the first meeting of the Society in Tunanda in 1986 and more than 10 years after the Internationonal Arachnological Congress in Brisbane, in 1993, there will be another ‘reunion’ of the Australasian Arachnological Society.
Framenau, Volker
core
Advanced Intelligent Systems, EarlyView.This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen +4 more
wiley +1 more source