Neural Processing Letters

Digital Imaging and Communications in Medicine (DICOM) is a trendy for a clinical picture area. The modem tools for the acquisition of pixel has a DICOM interface, which lets in interoperability between gear and the storage in documents of the ...

The problem of forgery detection has been well studied and the forged finger prints produces highly impacting results in the biometric based security systems. There are many algorithms discussed earlier to detect forged finger prints. However, ...

Mobile ubiquitous computing has not only enriched human comfort but also has a deep impact on changing standards of human daily life. Modern inventions can be even more automated by using the Internet of Things (IoT) and Artificial Intelligence (...

Healthcare Informatics is a phenomenon being talked about from the early 21st century in the era in which we are living. With evolution of new computing technologies huge amount of data in healthcare is produced opening several research areas. ...

Mining biomedical entity association and extracting the implicit knowledge from biomedical entity relation networks are important for precision medicine. In this paper, we propose a novel method for implicit relation mining from biomedical multi-...

Identification and quantification of insulin resistance require specific blood test which is complex, time-consuming, and much more invasive, making it difficult to track the changes daily. With the advancement in machine learning approaches, ...

In medical imaging, automated detection of stomach and gastrointestinal diseases using WCE (wireless capsule endoscopy) images is an emerging research domain. It includes numerous limitations and challenges such as variation in the contrast, ...

Through the growing attractiveness of the financial world, the e health care application has developed quicker than the previous period, such that mobile payment adore extraordinary fame and are occupying an ever-growing business. This is ...

Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. It can increase the reliability of the cure and decision making by developing useful systems and algorithms. ...

The recent COVID-19 outbreak has severely affected people around the world. There is a need of an efficient decision making tool to improve awareness about the spread of COVID-19 infections among the common public. An accurate and reliable neural ...

Estrogen is primarily an endocrine hormone produced by the ovaries and, to a lesser degree, glands of the adrenal cortex's zona reticularis layer. However, it can be synthesized from other tissues and can possess both autocrine and paracrine ...

The unavailability of appropriate mechanisms for timely detection of diseases and successive treatment causes the death of a large number of people around the globe. The timely diagnosis of grave diseases like different forms of cancer and other ...

Artificial intelligence is predicted to play a big part in self-learning, industrial automation that will negotiate the bandwidth of structural health and control systems. The industrial structural health and control system based on discrete ...

To develop an approach of combining convolution neural network and graph convolution network to predict the progression of myopia. The working distance (WD) and light intensity (LI) of three hundred and seventeen children were recorded by ...

The incidence of dyspareunia at 6 months post-partum is very high. However, effective treatments are limited. Pelvic floor myofascial therapy is a useful method, we investigated the efficacy of it. 72 post-partum women with dyspareunia between 6 ...

In recent years, the incidence of hypertension diseases has increased dramatically, not only among the elderly but also among young people. In this regard, the use of machine learning methods to diagnose the causes of hypertension diseases has ...

Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to restore movements needs in daily life including nerve re-education, ...

Person re-identification (ReID) aims at identifying the same person’s images across different cameras. However large domain gaps between source and target domains, as well as lack of label information in the target domain poses a huge challenge ...

The neural mechanisms involved in pain perception consist of a pathway which carry signals from the periphery to the cerebral cortex. First-order pain neurons transduce the potentially damaging stimuli detected by the sensorial extremes into long-...

Deep neural networks, as a key technical breakthrough in machine learning field, have been widely used in various practical scenarios. However, the existing deep neural networks often generate the predictions with high confidence risks, which are ...

Deep modal can provide supplementary features for RGB images, which deeply improves the performance of salient object detection (SOD). However, depth images are disturbed by external factors during the acquisition process, resulting in low-quality ...

In a real multi-speaker scenario, the signal collected by the microphone contains a large number of time periods with only one speaker’s speech which were called isolated speech segments. In view of this fact, this paper proposes a single-channel ...

Click-through rate (CTR) prediction is a research hotspot in the field of recommendation systems and online advertising. Because of the diversity, large-scale, and high real-time characteristics of Internet data, manual feature interaction is ...

This work deals with a nonlinear differential equation for a quaternion-valued recurrent neural network. By using the contraction mapping principle and some differential inequalities, we directly studied the existence and the global exponential ...

Underwater Acoustic Sensor Networks (UASNs) encompass concerned a great deal interest in together with the educational as well as manufacturing fields. Because of the instant predictability, incidence selectivity and extremely in complete ...

Security plays an important part in this Internet world because of the hasty improvement of Internet customers. Different Intrusion Detection Systems (IDS) have been advanced for various departments in history to describe and identify intruders ...

This article deals with the global dissipativity of Quaternion-Valued Fuzzy Cellular Fractional-Order Neural Networks (QVFCFONNs). The model is solved by separating it into four real-valued parts, forming an equivalent real system according to ...

Meta Learning (ML) has the ability to quickly learn from a small number of samples, and has become an important research field after reinforcement learning. However, the complexity of sample features severely reduces the performance of few-shot ...