Cardio Vascular Diseases (CVD) is the major reason for the death of the majority of the people in the world. Earlier diagnosis of disease will reduce the mortality rate. Machine learning (ML) algorithms are giving promising...
Taking the one-year-old T. chinensis (Tamarix chinensis Lour.) in Yellow River Delta as the study object, the variations of C, N and P stoichiometry in T. chinensis under drought stress was studied using pot experiments. The...
In this paper, an (s, S) policy is determined by using a simulation-optimization approach for a periodic review inventory system at a pharmacy department of a major hospital in Thailand. The simulation, which imitates the...
PURPOSE: The B-MaP-C study investigated changes to breast cancer care that were necessitated by the COVID-19 pandemic. Here we present a follow-up analysis of those patients commenced on bridging endocrine therapy (BrET), whilst...
Recently, due to the advance and impressive results of deep learning techniques in the fields of image recognition, natural language processing and speech recognition for various long-standing artificial intelligence (AI) tasks...
Cyril Orji is professor of theology and Core Integrated Study. He is the author of numerous books, including Unmasking the African Ghost (2022), A Semiotic Christology (2021), and A Science–Theology Rapprochement (2018). His...
For a security system built on symmetric-key cryptography algorithms, the substitution box (S-box) plays a crucial role to resist cryptanalysis. In this article, we incorporate quantum chaos and PWLCM chaotic map into a new...
Previous studies have explored the use of real-time visual spectral feedback with adult and teenage singers. The purpose of the present investigation was to examine the perceptions of children (N=54), ages 7 to 13 years...
This paper aims to assess the dimensional deviation of Fused Deposition Modeling (FDM) processed ABS and ULTRAT parts using a new geometrical model which can evaluate three types of dimensional deviation: along the z-axis, along...
In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the...
The problems of image mining and semantic image retrieval play an important role in many areas of life. In this paper, a semantic-based image retrieval system is proposed that relies on the combination of C-Tree, which was built...
Damage of blood vessels in retina due to diabetes is known as diabetic retinopathy. It is one of the one of the important origins of blindness for adults. Loss of vision can be avoided by detecting damage of retina (leaking...
Cyril Orji is professor of theology and Core Integrated Study. He is the author of numerous books, including Unmasking the African Ghost (2022), A Semiotic Christology (2021), and A Science–Theology Rapprochement (2018). His...
Worldwide national surveys show a rising mental health burden among children and adolescents (C&A) during COVID-19. The objective of the current study is to verify the expected rise in visits to psychiatric...
In this article, a hybrid method is proposed to solve the uncapacitated planar multi-facility location problems. The new hybrid method consists of a combination of the Revised Weighted Fuzzy C-Means (RWFCM) algorithm proposed by...
The field of information retrieval (IR) is an important area in computer science, this domain helps us to find information that we are interested in from an important volume of information. A search engine is the best example of...
Applying the extended technology acceptance model (TAM2), this research study examined the doctors' perceptions about acceptance of internet-of-things medical devices (IoT-MDs) technology to track and monitor the health of...
Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and K-Prototypes are partition based clustering algorithms and these...
In recent years, research on the QoS-aware service composition problem often assumes that each component service in the process to be solved is equally essential. They do not consider the impact of core component services and...
In this paper, a hybrid approach using sliding window mechanism followed by fuzzy c means clustering is proposed for the automated brain tumour extraction. The proposed method consists three phases. The first phase is used for...
PPG signal utilize the light-based method to sense the blood-flow-rate as controlled by the actions of heart’s pumping. It is extensively utilized in the healthcare with application ranging from the pulse oximetry in the serious...
Despite the enormous spending on digital advertising, consumers are skeptical toward online advertising (STA). We integrated advertising value and stimulus-organism- response (SOR) frameworks to develop a model of STA's causes...
The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for...
Keenan and Comrie's Accessibility Hierarchy (AH) applied to clefting predicts greater c1eftability of subject (s U) than direct object (DO). However, in some Eastern Austronesian languages, particularly Tongan, some transitive...
This study examines the impact of electronic customer relationship management (E-CRM) on customer loyalty through the mediating effects of customer experience and customer satisfaction in the context of the banking industry....