Results 121 to 130 of about 24,275,785 (260)

Applying a Parameterized Quantum Circuit to Anomaly Detection

Engineering Proceedings
In this study, a parameterized quantum circuit (PQC) is applied for anomaly detection, a crucial process to identify unusual patterns or outliers in data.
Jehn-Ruey Jiang, Jyun-Sian Li
doaj   +1 more source

A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection. [PDF]

Entropy (Basel), 2023
Zhou J, Li G, Wang R, Chen R, Luo S.
europepmc   +1 more source

Heterotropic regulation and negative homotropic cooperativity

FEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea, Francesco Angelucci, Federica Arnesano, Gianmarco Pascarella, Patrizio Di Micco, Andrea Bellelli   +5 more
wiley   +1 more source

Trading Volume in Dealer Markets [PDF]

We develop a financial market trading model in the tradition of Glosten and Milgrom (1985) that allows us to incorporate non-trivial volume. We observe that in this model price volatility is positively related to the trading volume and to the absolute ...
Katya Malinova, Andreas Park
core  

SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems [PDF]

Data imbalance in training data often leads to biased predictions from trained models, which in turn causes ethical and social issues. A straightforward solution is to carefully curate training data, but given the enormous scale of modern neural networks,
Oh, Tae-Hyun, Choi, Wonseok, Kwak, Suha, Ye-Bin, Moon, Hyeon-Woo, Nam, Kim, Nayeong   +5 more
core   +1 more source

Proto-DS: A Self-Supervised Learning-Based Nondestructive Testing Approach for Food Adulteration with Imbalanced Hyperspectral Data

Foods
Conventional food fraud detection using hyperspectral imaging (HSI) relies on the discriminative power of machine learning. However, these approaches often assume a balanced class distribution in an ideal laboratory environment, which is impractical in ...
Kunkun Pang, Yisen Liu, Songbin Zhou, Yixiao Liao, Zexuan Yin, Lulu Zhao, Hong Chen   +6 more
doaj   +1 more source

Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA. [PDF]

Front Public Health, 2021
R E, Jain DK, Kotecha K, Pandya S, Reddy SS, E R, Varadarajan V, Mahanti A, V S.   +8 more
europepmc   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things

Sensors
With the widespread deployment of Internet of Things (IoT) devices, their complex network environments and open communication modes have made them prime targets for cyberattacks.
Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang   +3 more
doaj   +1 more source

A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge. [PDF]

Biomimetics (Basel), 2023
Kim HJ, Venkat SJ, Chang HW, Cho YH, Lee JY, Koo K.   +5 more
europepmc   +1 more source