Ambaji S. Jadhav, Pushpa B. Patil and Sunil Biradar
Diabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming…
Abstract
Purpose
Diabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming even for qualified experts. Nowadays, intelligent disease detection techniques are extremely acceptable for progress analysis and recognition of various diseases. Therefore, a computer-aided diagnosis scheme based on intelligent learning approaches is intended to propose for diagnosing DR effectively using a benchmark dataset.
Design/methodology/approach
The proposed DR diagnostic procedure involves four main steps: (1) image pre-processing, (2) blood vessel segmentation, (3) feature extraction, and (4) classification. Initially, the retinal fundus image is taken for pre-processing with the help of Contrast Limited Adaptive Histogram Equalization (CLAHE) and average filter. In the next step, the blood vessel segmentation is carried out using a segmentation process with optimized gray-level thresholding. Once the blood vessels are extracted, feature extraction is done, using Local Binary Pattern (LBP), Texture Energy Measurement (TEM based on Laws of Texture Energy), and two entropy computations – Shanon's entropy, and Kapur's entropy. These collected features are subjected to a classifier called Neural Network (NN) with an optimized training algorithm. Both the gray-level thresholding and NN is enhanced by the Modified Levy Updated-Dragonfly Algorithm (MLU-DA), which operates to maximize the segmentation accuracy and to reduce the error difference between the predicted and actual outcomes of the NN. Finally, this classification error can correctly prove the efficiency of the proposed DR detection model.
Findings
The overall accuracy of the proposed MLU-DA was 16.6% superior to conventional classifiers, and the precision of the developed MLU-DA was 22% better than LM-NN, 16.6% better than PSO-NN, GWO-NN, and DA-NN. Finally, it is concluded that the implemented MLU-DA outperformed state-of-the-art algorithms in detecting DR.
Originality/value
This paper adopts the latest optimization algorithm called MLU-DA-Neural Network with optimal gray-level thresholding for detecting diabetic retinopathy disease. This is the first work utilizes MLU-DA-based Neural Network for computer-aided Diabetic Retinopathy diagnosis.
Details
Keywords
Elavaar Kuzhali S. and Pushpa M.K.
COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150…
Abstract
Purpose
COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The COVID-19 diagnosis is required to detect at the beginning stage and special attention should be given to them. The fastest way to detect the COVID-19 infected patients is detecting through radiology and radiography images. The few early studies describe the particular abnormalities of the infected patients in the chest radiograms. Even though some of the challenges occur in concluding the viral infection traces in X-ray images, the convolutional neural network (CNN) can determine the patterns of data between the normal and infected X-rays that increase the detection rate. Therefore, the researchers are focusing on developing a deep learning-based detection model.
Design/methodology/approach
The main intention of this proposal is to develop the enhanced lung segmentation and classification of diagnosing the COVID-19. The main processes of the proposed model are image pre-processing, lung segmentation and deep classification. Initially, the image enhancement is performed by contrast enhancement and filtering approaches. Once the image is pre-processed, the optimal lung segmentation is done by the adaptive fuzzy-based region growing (AFRG) technique, in which the constant function for fusion is optimized by the modified deer hunting optimization algorithm (M-DHOA). Further, a well-performing deep learning algorithm termed adaptive CNN (A-CNN) is adopted for performing the classification, in which the hidden neurons are tuned by the proposed DHOA to enhance the detection accuracy. The simulation results illustrate that the proposed model has more possibilities to increase the COVID-19 testing methods on the publicly available data sets.
Findings
From the experimental analysis, the accuracy of the proposed M-DHOA–CNN was 5.84%, 5.23%, 6.25% and 8.33% superior to recurrent neural network, neural networks, support vector machine and K-nearest neighbor, respectively. Thus, the segmentation and classification performance of the developed COVID-19 diagnosis by AFRG and A-CNN has outperformed the existing techniques.
Originality/value
This paper adopts the latest optimization algorithm called M-DHOA to improve the performance of lung segmentation and classification in COVID-19 diagnosis using adaptive K-means with region growing fusion and A-CNN. To the best of the authors’ knowledge, this is the first work that uses M-DHOA for improved segmentation and classification steps for increasing the convergence rate of diagnosis.
Details
Keywords
MD. Shamshuddin, Anwar Saeed, S.R. Mishra, Ramesh Katta and Mohamed R. Eid
Whilst a modest number of investigations have been undertaken concerning nanofluids (NFs), the exploration of fluid flow under exponentially stretching velocities using NFs…
Abstract
Purpose
Whilst a modest number of investigations have been undertaken concerning nanofluids (NFs), the exploration of fluid flow under exponentially stretching velocities using NFs remains comparatively uncharted territory. This work presents a distinctive contribution through the comprehensive examination of heat and mass transfer phenomena in the NF ND–Cu/H2O under the influence of an exponentially stretching velocity. Moreover, the investigation delves into the intriguing interplay of gyrotactic microorganisms and convective boundary conditions within the system.
Design/methodology/approach
Similarity transformations have been used on PDEs to convert them into dimensionless ODEs. The solution is derived by using the homotopy analysis method (HAM). The pictorial notations have been prepared for sundry flow parameters. Furthermore, some engineering quantities are calculated in terms of the density of motile microbes, Nusselt and Sherwood numbers and skin friction, which are presented in tabular form.
Findings
The mixed convection effect associated with the combined effect of the buoyancy ratio, bioconvection Rayleigh constant and the resistivity due to the magnetization property gives rise to attenuating the velocity distribution significantly in the case of hybrid nanoliquid. The parameters involved in the profile of motile microorganisms attenuate the profile significantly.
Practical implications
The current simulations have uncovered fascinating discoveries about how metallic NFs behave near a stretched surface. These insights give us valuable information about the characteristics of the boundary layer close to the surface under exponential stretching.
Originality/value
The novelty of the current investigation is the analysis of NF ND–Cu/H2O along with an exponentially stretching velocity in a system with gyrotactic microorganisms. The investigation of fluid flow at an exponentially stretching velocity using NFs is still relatively unexplored.
Details
Keywords
H. Binner, M.S. Setty, P. Collander and C.H. Garnett
A recent meeting involved co‐operation with the organisers of the Canadian High Technology Show and the local Chapter of the SMTA. The programme included an inspiring keynote…
Abstract
A recent meeting involved co‐operation with the organisers of the Canadian High Technology Show and the local Chapter of the SMTA. The programme included an inspiring keynote address by Mr Frank J. Pipp, Xerox Corporation. The topic of the address was ‘Malcolm Baldridge National Quality Control and the Evaluation of Total Quality Control in Xerox Corporation.’
Rachana Borawake-Satao and Rajesh Prasad
Wireless Multimedia Sensor Network (WMSN) is expected to be a key technology for future network. The multimodal information along with very low-cost availability of the camera…
Abstract
Purpose
Wireless Multimedia Sensor Network (WMSN) is expected to be a key technology for future network. The multimodal information along with very low-cost availability of the camera sensor nodes is promoting the extensive use of audio, image and video in various real-time implementations. The purpose of this paper is to study various routing issues and the effect of mobility on existing solutions for the applications in future internet.
Design/methodology/approach
This paper conducts a survey of the various methodologies for routing and the vital issues in the design of routing protocols for WMSN, and it also discusses about the effect of mobility on various routing methodologies of WMSN. WMSN ubiquitously performs data acquisition, processing and routing for scalar and multimedia data in a mobile environment. The routing protocols should be adaptive in nature and should have a dynamic approach to service effectively for future network. Many authors proposed the mobility of sink to improve lifetime of the network. This paper discusses some effective approaches for the network where not only the sink node but also some of the sensor nodes are mobile.
Findings
During the survey, the performance and lifetime of the network are discussed, other parameters like delay, packet loss, energy consumption and simulators used for implementation are also discussed.
Originality/value
The techniques in this paper represent a considerable solution for mobility issues in future internet applications.
Details
Keywords
Pragha P., Thamaraiselvan Natarajan and Krantiraditya Dhalmahapatra
Recent growth of metaverse adoption has impacted the adoption of nonfungible tokens (NFTs) which is becoming increasingly attractive. Recently, researchers have explored the…
Abstract
Purpose
Recent growth of metaverse adoption has impacted the adoption of nonfungible tokens (NFTs) which is becoming increasingly attractive. Recently, researchers have explored the adoption of NFTs in metaverse platform. However, considering the risk involved in the transaction, the need for trust on NFT transaction arises. Drawing on trust transfer theory, this study aims to fill this gap by investigating the trust transfer process from trust on metaverse platform and online payment. Moreover, the moderating effect of perceived effectiveness of dispute resolution (PEDR) between trust and adoption of NFT transaction in metaverse platform is explored.
Design/methodology/approach
This study adopts an empirical approach using a questionnaire survey in India based on simple random sampling technique and is analyzed using structural equation modeling through the Smart PLS software.
Findings
The findings reveal that users with a higher trust disposition will trust the metaverse platforms, online payments and NFT transactions in the metaverse. Also, the study reveals that trust transfers from the metaverse platform and online payments toward NFT transactions in the metaverse, which further leads to the adoption intent of NFT. The study provides information for platforms on how the trust transfer process occurs and how to manage conflict resolution to attract the trust of users to use NFTs in their transaction.
Research limitations/implications
The study makes a valuable contribution by identifying the significant impact of trust disposition and social influence in explaining user trust in NFT transactions within the metaverse. Also, the study explores how established trust in conventional online payment mechanisms translates and contributes to trust-building on NFTs and transactional contexts within virtual worlds.
Practical implications
This study implies that ensuring robust security measures for NFT transactions, such as two-factor authentication, blockchain verification and secure wallets, can reassure users with different levels of trust disposition.
Social implications
Metaverse platforms should focus on educating users about how trust operates within their environment by providing tutorials, FAQs and support channels to help users navigate the process confidently. Highlighting security measures, user rights and privacy protections can enhance trust toward NFT payment.
Originality/value
To the best of the authors’ knowledge, this study contributes to research as it is the first of its kind study to explore the factors affecting adoption intent of NFTs transaction in metaverse platform using trust transfer theory. Thereby, developing substantial theoretical and practical contributions by considering an emerging technology.
Details
Keywords
Mohammad Ishaq Lone, Abdul Wahid and Abdul Shakoor
The study is an endeavour to find out the preservation status of rare documents in Srinagar. The rare documents, here, mean the manuscripts and rare books, journals, reports…
Abstract
Purpose
The study is an endeavour to find out the preservation status of rare documents in Srinagar. The rare documents, here, mean the manuscripts and rare books, journals, reports, magazines, archival documents, etc. These resources are available in private libraries of individuals and religious institutions in Srinagar. This study aims to find these private libraries of individuals/families and religious institutions, which are unknown to the scholarly world and observe the preservation status of rare documents. The main focus is to document their present preservation status to give an opportunity to the stakeholders, particularly the government organizations, to take appropriate action before they are lost forever.
Design/methodology/approach
Before conducting the survey, the investigator interviewed 114 persons including literary persons, faith leaders, librarians, faculty members from various prominent institutions in Srinagar to get leads regarding the persons/families and religious institutions in possession of rare documents. The investigator gathered data through two different schedules and later analyzed the same in this study after carrying out a pilot study to make necessary changes to the schedules compiled for the study. The investigator visited personally each family/individual and religious institution to gather the data for months together.
Findings
An arduous job was carried out in which around 111 individuals/families and religious institutions were found to be having such rare resources. However, the data gathered reveals a dismal picture of private libraries and religious institutions, in possession of rare documents, as almost all caretakers/ families are devoid of any knowledge regarding the maintenance of these important sources of knowledge. Further, the traditional methods of preservation are still in vogue in some private libraries. These traditional methods have opened new areas of research while at the same time can prove detrimental to the collection if they are useless.
Originality/value
The study is the first of its kind in the summer capital of Jammu and Kashmir i.e. Srinagar. The study gives an idea of preservation status of manuscripts and rare documents including books, magazines, journals, archival documents, etc. so that the same are taken care of for posterity. The study is an eye-opener for the policymakers, conservators, archivists and others interested in historical documents. The study will help in furthering the research process as it needs to be ascertained whether the traditional methods of preservation are fruitful. In short, the study is quite helpful in understanding the nature of collection in Srinagar so that appropriate steps are taken by all particularly the Government in J&K. The paper will surely help in the policy formulation in the future.
Details
Keywords
This case provides an account of an informal round table organized by the dean of a Regional Management Institute to identify issues relating to the management of Regional…
Abstract
This case provides an account of an informal round table organized by the dean of a Regional Management Institute to identify issues relating to the management of Regional Management Institutes. It raises questions relating to pedagogy, placement, roles of leaders, local innovations, programme portfolio and sustenance of these institutes. The participants are required to review the outcome of the first round table and take the discussion forward.
Details
