Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …
impact on every industry and research discipline. At the core of this revolution lies the tools …
Hybrid zinc‐air battery (ZAB) with transition metal‐based electrocatalysts—A step toward next‐generation electrochemical energy storage
S Tharani, D Durgalakshmi… - Wiley …, 2023 - Wiley Online Library
Zinc air batteries (ZABs) are gaining popularity as a viable substitute for lithium‐based
batteries in recent years because of their availability of raw materials, high energy density …
batteries in recent years because of their availability of raw materials, high energy density …
Suod: Accelerating large-scale unsupervised heterogeneous outlier detection
Outlier detection (OD) is a key machine learning (ML) task for identifying abnormal objects
from general samples with numerous high-stake applications including fraud detection and …
from general samples with numerous high-stake applications including fraud detection and …
A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition
The spatial structural features and compositional relationships of multivariate geochemicals
are influenced by complex geological processes (eg, diagenesis and mineralization), and …
are influenced by complex geological processes (eg, diagenesis and mineralization), and …
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study
Background Risk-based screening for lung cancer is currently being considered in several
countries; however, the optimal approach to determine eligibility remains unclear. Ensemble …
countries; however, the optimal approach to determine eligibility remains unclear. Ensemble …
An efficient transfer and ensemble learning based computer aided breast abnormality diagnosis system
F Azour, A Boukerche - IEEE Access, 2022 - ieeexplore.ieee.org
Breast cancer is the second most deadly type of cancer globally among women and can be
prevented to a great extent in the case of early detection. In order to raise the survival rate …
prevented to a great extent in the case of early detection. In order to raise the survival rate …
Design guidelines for mammogram-based computer-aided systems using deep learning techniques
F Azour, A Boukerche - IEEE Access, 2022 - ieeexplore.ieee.org
Breast cancer is the second fatal disease among cancers patients both in Canada and
across the globe. However, when detected early, a patients' survival rate can be raised …
across the globe. However, when detected early, a patients' survival rate can be raised …
Extreme trees network intrusion detection framework based on ensemble learning
X Shi, Y Cai, Y Yang - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Aming at the problem that the basic model has unstable performance in different network
dataset, and the ensemble model will greatly increase the training time and testing time …
dataset, and the ensemble model will greatly increase the training time and testing time …
FSEAD: A Composable FPGA-Based Streaming Ensemble Anomaly Detection Library
Machine learning ensembles combine multiple base models to produce a more accurate
output. They can be applied to a range of machine learning problems, including anomaly …
output. They can be applied to a range of machine learning problems, including anomaly …
AutoFusion of feature pruning for decision making in operations research
PK Ataş, SÖ Akyüz - Central European Journal of Operations Research, 2024 - Springer
Recently, the fusion of algorithms in machine learning studies has taken a lot of attention,
emphasizing the power of communal decision-making over-relying on a single decision …
emphasizing the power of communal decision-making over-relying on a single decision …