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Advances in spatial transcriptomics and its applications in cancer research
Y **, Y Zuo, G Li, W Liu, Y Pan, T Fan, X Fu, X Yao… - Molecular Cancer, 2024 - Springer
Malignant tumors have increasing morbidity and high mortality, and their occurrence and
development is a complicate process. The development of sequencing technologies …
development is a complicate process. The development of sequencing technologies …
[HTML][HTML] Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review
Background An e-nose or an e-tongue is a group of gas sensors or chemical sensors that
simulate human nose or human tongue. Both e-nose and e-tongue have shown great …
simulate human nose or human tongue. Both e-nose and e-tongue have shown great …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
Detection of cyberattacks in industrial control systems using enhanced principal component analysis and hypergraph-based convolution neural network (EPCA-HG …
K Krithivasan, S Pravinraj, SS VS - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The automated operations of industrial control systems (ICSs) highly rely on the
interconnected devices, sensors, and actuators that are monitored and controlled by the …
interconnected devices, sensors, and actuators that are monitored and controlled by the …
Heteroskedastic PCA: Algorithm, optimality, and applications
Heteroskedastic PCA: Algorithm, optimality, and applications Page 1 The Annals of Statistics
2022, Vol. 50, No. 1, 53–80 https://doi.org/10.1214/21-AOS2074 © Institute of Mathematical …
2022, Vol. 50, No. 1, 53–80 https://doi.org/10.1214/21-AOS2074 © Institute of Mathematical …
Data-driven false data injection attacks against power grids: A random matrix approach
S Lakshminarayana, A Kammoun… - … on Smart Grid, 2020 - ieeexplore.ieee.org
We address the problem of constructing false data injection (FDI) attacks that can bypass the
bad data detector (BDD) of a power grid. The attacker is assumed to have access to only …
bad data detector (BDD) of a power grid. The attacker is assumed to have access to only …
A self-adaptive classification method for plant disease detection using GMDH-Logistic model
Agriculture occupies an important position in the economic development, and which is one
of the important sources of earning for human beings in many countries. However, a number …
of the important sources of earning for human beings in many countries. However, a number …
Distributed linear regression by averaging
E Dobriban, Y Sheng - The Annals of Statistics, 2021 - JSTOR
Distributed statistical learning problems arise commonly when dealing with large datasets.
In this setup, datasets are partitioned over machines, which compute locally, and …
In this setup, datasets are partitioned over machines, which compute locally, and …
Three PV plants performance analysis using the principal component analysis method
This paper presents a comparative analysis of the performance of three grid-connected
photovoltaic power plants, of about 2kWp for each plant, using the principal component …
photovoltaic power plants, of about 2kWp for each plant, using the principal component …
Multimodal mixing convolutional neural network and transformer for Alzheimer's disease recognition
Early recognition of Alzheimer's disease (AD) and its precursor state, mild cognitive
impairment (MCI), is pivotal in interrupting the progression of the disease and providing …
impairment (MCI), is pivotal in interrupting the progression of the disease and providing …