An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
E Özbay - Artificial Intelligence Review, 2023 - Springer
… ) using new multi-layer architecture for automatic recognition of … Various computer-based
methods have been developed in … evaluation of our ADL-CNN system in comparison with other …
methods have been developed in … evaluation of our ADL-CNN system in comparison with other …
Deep learning methods in network intrusion detection: A survey and an objective comparison
S Gamage, J Samarabandu - Journal of Network and Computer …, 2020 - Elsevier
… , such as cloud computing and the Internet of Things. With the … semi-supervised models,
a thorough neural architecture … Since the pre-processing steps and evaluation metrics in our …
a thorough neural architecture … Since the pre-processing steps and evaluation metrics in our …
Online knowledge distillation for efficient pose estimation
… validate the effectiveness of our proposed method on two … Unbalance architecture in Table
5. Three branches exists in … OKDHP method yields a more generalizable model compared to …
5. Three branches exists in … OKDHP method yields a more generalizable model compared to …
Internet of things intrusion detection: Centralized, on-device, or federated learning?
… for the evaluation of intrusion detection methods, which we … aggregates the updates locally
computed whenever a training … Moreover, we compared the FL settings when sharing the …
computed whenever a training … Moreover, we compared the FL settings when sharing the …
The validity of sentiment analysis: Comparing manual annotation, crowd-coding, dictionary approaches, and machine learning algorithms
W Van Atteveldt, MACG Van der Velden… - … Methods and …, 2021 - Taylor & Francis
… Another option is to use automatic sentiment analysis methods: Using a computer program
… Signals of public opinion in online communication: A comparison of methods and data …
… Signals of public opinion in online communication: A comparison of methods and data …
CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection
… automatic pavement condition evaluation methods. Since the computerized systems deal with
each … pavement crack detection according to the comparative experiments of this research. …
each … pavement crack detection according to the comparative experiments of this research. …
[Retracted] U‐Net‐Based Medical Image Segmentation
… comparing the parameters. The segmentation evaluation parameters play a crucial part in
the evaluation … vectors that could be processed by the computer or further abstracted into …
the evaluation … vectors that could be processed by the computer or further abstracted into …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
… of the Internet is responsible for the emergence of the Internet of Things (IoT… compared to
other classifiers on complete data samples. Moreover, the results presented by other evaluation …
other classifiers on complete data samples. Moreover, the results presented by other evaluation …
[HTML][HTML] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
… and the comparative analysis of different techniques with the used dataset, applied machine
and deep learning methods with computed … using several quality evaluation constraints. The …
and deep learning methods with computed … using several quality evaluation constraints. The …
[HTML][HTML] SwinBTS: A method for 3D multimodal brain tumor segmentation using swin transformer
Y Jiang, Y Zhang, X Lin, J Dong, T Cheng, J Liang - Brain sciences, 2022 - mdpi.com
… in natural language processing and computer vision as a … uses an encoder–decoder
architecture, utilizing the 3D Swin … website for online verification and comparison with the SOTA …
architecture, utilizing the 3D Swin … website for online verification and comparison with the SOTA …