A5026927275- Retinal Imaging and Analysis
- Remote-Sensing Image Classification
- Medical Image Segmentation Techniques
- AI in cancer detection
- Advanced Image Fusion Techniques
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Blind Source Separation Techniques
- Cutaneous Melanoma Detection and Management
- Advanced Malware Detection Techniques
- Digital Imaging for Blood Diseases
- Face and Expression Recognition
- Brain Tumor Detection and Classification
- Ultrasound and Hyperthermia Applications
- Image Processing Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Network Security and Intrusion Detection
- Software Testing and Debugging Techniques
- Anomaly Detection Techniques and Applications
- Optical Coherence Tomography Applications
- EEG and Brain-Computer Interfaces
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Multi-Criteria Decision Making
- Medical Imaging Techniques and Applications
University of Illinois at Springfield
2015-2024
Shandong Normal University
2023-2024
Henan University
2022-2023
Guangzhou Panyu Polytechnic
2022-2023
Suzhou University of Science and Technology
2023
Nanjing Forestry University
2022
Beijing Survey and Design Institute (China)
2022
Shandong Women’s University
2022
Tsinghua University
2022
Worcester Polytechnic Institute
2022
Spam email has accounted for a high percentage of traffic and created problems worldwide. The deep learning transformer model is an efficient tool in natural language processing. This study proposed spam detection approach using pretrained bidirectional encoder representation from (BERT) machine algorithms to classify ham or emails. Email texts were fed into the BERT, features obtained BERT outputs used represent texts. Four classifier employed text categories. was tested two public datasets...
A neutrosophic set (Ns), a part of neutrosophy theory, studies the origin, nature, and scope neutralities, as well their interactions with different ideational spectra. The is powerful general formal framework that has been recently proposed. However, needs to be specified from technical point view. We apply in image domain define some concepts operations for thresholding. G transformed into Ns domain, which described using three subsets T, I F. entropy defined employed evaluate...
In this paper, the direct acyloxylation of α-C(sp2)–H bond in tertiary β-enaminones is accomplished under catalyst-free conditions and ambient temperature by using aroyl peroxides as coupling partners. By means a thermoinduced free-radical pathway, present method enables facile efficient synthesis both acyloxylated chromones enaminones.
Schizophrenia is a severe mental illness which can cause lifelong disability. Most recent studies on the Electroencephalogram (EEG)-based diagnosis of schizophrenia rely bespoke/hand-crafted feature extraction techniques. Traditional manual methods are time-consuming, imprecise, and have limited ability to balance accuracy efficiency. Addressing this issue, study introduces deep residual network (deep ResNet) based design that automatically extract representative features from EEG signal...
Medical image analysis, particularly the segmentation of White Blood Cells (WBCs), holds critical importance in scrutinizing quantity and morphology these cells smear images, a pivotal step disease detection. Existing methodologies often fall short differentiating between healthy diseased WBCs, emphasizing color components over internal organizational nuances external morphologies. This paper presents pioneering contribution through introduction an encoder-decoder deep neural network with...
k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, non-parametric supervised classifier. It aims determine the class label of an unknown sample by its that are stored in training set. The determined based on some distance functions. Although k-NN produces successful results, there have been extensions for improving precision. neutrosophic set (NS) defines three memberships namely T, I F. I, F shows truth membership degree, false indeterminacy respectively. In...
A neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope neutralities, as well their interactions with different ideational spectra. The is general formal framework that has been recently proposed. However, needs to be specified from technical point view. Now, we apply into image domain define some concepts operators for denoising. G transformed NS domain, which described using three membership sets: T, I F. entropy defined employed evaluate...
Detection of epileptic seizure in electroencephalogram (EEG) signals is a challenging task and requires highly skilled neurophysiologists. Therefore, computer-aided detection helps neurophysiologist interpreting the EEG. In this paper, texture representation time–frequency (t–f) image-based proposed. More specifically, we propose descriptor-based features to discriminate normal t–f domain. To end, three popular descriptors are employed, namely gray-level co-occurrence matrix (GLCM), feature...