A5067764883- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Brain Tumor Detection and Classification
- Emotion and Mood Recognition
- AI in cancer detection
- Digital Media Forensic Detection
- Video Surveillance and Tracking Methods
- Advanced Steganography and Watermarking Techniques
- Image Enhancement Techniques
- Anomaly Detection Techniques and Applications
- Remote Sensing and Land Use
- Advanced Image Processing Techniques
- Lung Cancer Diagnosis and Treatment
- Blind Source Separation Techniques
- Face recognition and analysis
- Advanced Neural Network Applications
- Neural Networks and Applications
- Advanced Vision and Imaging
- Cardiac, Anesthesia and Surgical Outcomes
- Human Pose and Action Recognition
Superior University
2019-2024
Detroit Medical Center
2021-2024
NorthStar Cooperative (United States)
2024
Wayne State University
2024
Iqra National University
2022
City University of Science and Information Technology
2022
Imam Mohammad ibn Saud Islamic University
2013-2019
State University of Padang
2019
Gwangju Institute of Science and Technology
2011-2018
National University of Computer and Emerging Sciences
2008-2017
Particularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve accuracy and efficiency analysis, CAD systems play a crucial role. segment classify lesions from dermoscopy images, this study focuses on using hybrid deep learning techniques.
Biometric security systems must be able to detect phony fingerprints provide reliable authentication. The findings of this study suggest a hybrid approach the detection fake that uses information on texture and shape fingerprint. novelty lies in integrating both traditional fingerprint geometric features obtained through wavelet transformation, which has not been extensively explored previous studies. proposed procedure may collected by modification. This allows it take advantage...
The practice of cutting and pasting portions one image into another, known as "image splicing," is commonplace in the field manipulation. Image splicing detection using deep learning has been a hot research topic for past few years. However, there are two problems with way currently implemented: first, it not good enough feature fusion, second, uses only simple models extraction encoding, which makes vulnerable to overfitting. To tackle these problems, this proposes CMV2U-Net, an...
This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The relies multiple visual cues to characterize level alertness driver. parameters used for detecting are: eye closure duration measured through state information and yawning analyzed mouth information. Initially, face is located Viola-Jones method ensure presence driver in frame. Then, window extracted from region, which lips are searched spatial fuzzy C-means (s-FCM) clustering....
Recent advances in wireless communications, system on chip and low power sensor nodes allow realization of Wireless Body Area Networks (WBANs). WBANs comprise tiny sensors, which collect information a patient's vital signs provide real time feedback. In addition, also support many applications including ubiquitous healthcare, entertainment, gaming, military, etc. Ubiquitous healthcare is required by elderly people to facilitate them with instant monitoring anywhere they move around. this...
Reversible watermarking has gained importance due to increased involvement of digital media in sensitive fields, such as medical and law enforcement. We propose a prediction error expansionbased scheme that allows embedding reversible watermark the image with low distortion. Research work proposes four-phase representation which exploitation larger context. have also proposed hybrid predictor helps enhance accuracy. To reduce distortion at lower capacity payloads, we use sorting estimated...
Sentiment analysis holds significant importance in research projects by providing valuable insights into public opinions. However, the majority of sentiment studies focus on English language, leaving a gap for other low-resourced languages or regional languages, e.g., Persian, Pashto, and Urdu. Moreover, computational linguists face challenge developing lexical resources these languages. In light this, this paper presents deep learning-based approach Urdu Text Analysis (USA-BERT), leveraging...
Competitive Crowdsourcing Software Development (CCSD) is popular among academics and industries because of its cost-effectiveness, reliability, quality. However, CCSD in early stages does not resolve major issues, including having a low solution submission rate high project failure risk. development wastes stakeholders’ time effort as they cannot find suitable highly dynamic competitive marketplace. It is, therefore, crucial to automatically predict the success an upcoming software before...
In this paper, we propose an image filtering technique based on fuzzy logic control to remove impulse noise for low as well highly corrupted images. The proposed method is detection, removal and edge preservation modules. main advantage of the over other techniques its superior detail preserving capability. Based criteria peak-signal-to-noise-ratio (PSNR), mean square error (MSE), structural similarity index measure (SSIM) subjective evaluation have found experimentally that provides much...