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While semi-supervised learning (SSL) has demonstrated remarkable success in natural image segmentation, tackling medical image segmentation with limited annotated data remains a highly relevant and challenging research problem. Many existing ...

Speaker modeling plays a crucial role in various tasks, and fixed-dimensional vector representations, known as speaker embeddings, are the predominant modeling approach. These embeddings are typically evaluated within the framework of speaker ...

• Lightweight and Efficient Design for Both Research and Production
• Extensive Models and Structured Recipes on Different Datasets
• Scalable Data Management with Flexible Unified I/O Design
• Cross-Platform Deployment For PCs ...

Semi-supervised learning models often rely on restricted assumptions, and can easily suffer from covariate shift or noise. Few studies have investigated the use of fuzzy rule-based methods in the semi-supervised discipline. To improve model ...

• We build a fuzzy broad semi-supervised learning model which integrates the Mean-Teacher model, fuzzy board learning into a unified framework.
• We suggest an end-to-end multiview semi-supervised classification method that merges the ...

Labeling a module defective or non-defective is an expensive task. Hence, there are often limits on how much-labeled data is available for training. Semi-supervised classifiers use far fewer labels for training models. However, there are numerous ...

• We analysed over 350 references from all well-famed databases.
• We provided a ...

Integrating artificial intelligence with food category recognition has been a field of interest for research for the past few decades. It is potentially one of the next steps in revolutionizing human interaction with food. The modern ...

Secure Sockets Layer (SSL) and Transport Layer Security (TLS) protocols are used to encrypt data, protect privacy, and authenticate. However, the security of SSL/TLS itself depends on its configurations. While some scanning tools are used to measure SSL/...

Manet (Mobile Adhoc network) is a dynamic network with no fixed infrastructure. So Data Routing among nodes in a wireless network is pretty complex when compared to traditional centralized network architecture. There is always possibility the ...

The Web Proxy Auto-Discovery protocol (wpad ¹) is widely used despite being flawed. Its purpose is to enable a client machine to autonomously identify an appropriate proxy, if any, to connect to. This can be useful in corporate networks, for example. Its ...

• Speech and voice may be valuable markers for PD.
• Large differences between ...

Speech impairment is an early symptom of Parkinson's disease (PD). This study has summarized the literature related to speech and voice in detecting PD and assessing its severity.

Despite many proposed algorithms to provide robustness to deep learning (DL) models, DL models remain susceptible to adversarial attacks. We hypothesize that the adversarial vulnerability of DL models stems from two factors. The first ...

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Background and Objective: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods have ...

• A LR face recognition model for resource-constrained environments is proposed.
• Our model is lightweight and capable of being effectively trained on small data.
• Our model adopts PixelHop++ which is designed based on the SSL ...

Although Deep Neural Networks (DNNs) have achieved tremendous success in the face recognition task, utilizing them in resource-constrained environments with limited networking and computing is challenging. Such environments often demand a small ...

A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accuracy due to the adoption of deep learning (DL) technology. Yet, DL-...$\mathrm{}\mathrm{}$

HTTPS refers to an application-specific implementation that runs HyperText Transfer Protocol (HTTP) on top of Secure Socket Layer (SSL) or Transport Layer Security (TLS). HTTPS is used to provide encrypted communication and secure identification of web ...

Public Key Infrastructures (PKIs) with their trusted Certificate Authorities (CAs) provide the trust backbone for the Internet: CAs sign certificates which prove the identity of servers, applications, or users. To be trusted by operating systems and ...

If two or more identical HTTPS clients, located at different geographic locations (regions), make an HTTPS request to the same domain (e.g. example.com), on the same day, will they receive the same HTTPS security guarantees in response?...

Recently, the Internet of Things (IoT) system, which supports human activities based on various types of real data, has attracted attention in various fields. However, the behavior of the system is determined based on the actual data, so if an ...

The healthcare sector generates important amount of medical data on a daily basis, several machine learning (ML) methods have been developed and studied in order to usefully exploit this substantial sum of information generated colossally, in a wide range ...

The non-stationary nature of electroencephalography (EEG) signals makes an EEG-based brain-computer interface (BCI) a dynamic system, thus improving its performance is a challenging task. In addition, it is well-known that due to non-...

X.509 Certificates are used by a wide range of technologies to verify identities, while the SSL protocol is used to provide a secure encrypted tunnel through which data can be sent over a public network. Combined both of these technologies provides the ...