11 hasil untuk "Raghunathan Krishankumar"
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Artikel Jurnal
Candidate assessment in asynchronous video interviewing: a hybrid hyperbolic fuzzy integrated MCDM framework with generative AI expertise
Asynchronous Video Interviewing (AVI) is increasingly used in large-scale recruitment; however, its evaluation remains constrained by opaque predictive models, limited interpretability, and reliance on subjective human judgement. Interview data is often vague and complex. In this study we propose a…
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Artikel Jurnal
An Integrated Decision Framework for Group Decision-Making with Double Hierarchy Hesitant Fuzzy Linguistic Information and Unknown Weights
As an attractive generalization to hesitant fuzzy linguistic term set, double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is used to represent complex linguistic expressions by providing rich and flexible context. Previous studies on DHHFLTS show that aggregation of preference…
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Artikel Jurnal
DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework
Abstract Melanoma is a severe skin cancer that involves abnormal cell development. This study aims to provide a new feature fusion framework for melanoma classification that includes a novel ‘F’ Flag feature for early detection. This novel ‘F’ indicator efficiently distinguishes benign skin lesions…
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Artikel Jurnal
Selection of optimal construction service provider: a combined decision framework with hyperbolic fuzzy data
This study introduces an integrated decision-making framework for Construction Service Provider (CSP) selection, addressing limitations in traditional methods that prioritize cost over quality and holistic evaluation. The framework integrates “Hyperbolic Fuzzy Sets (HYFS)” to capture uncertainties…
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Artikel Jurnal
Grading green building materials: A hyperbolic fuzzy framework for a sustainable hospital
Sustainable hospitals require careful selection of green building materials (GBMs) to reduce eco-impact and improve resilience. This is crucial as hospitals consume significant resources and their material choices influence durability, availability, and indoor air quality. Existing studies did not…
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Artikel Jurnal Teks lengkap
An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem
Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process of RESs evaluation, several aspects like environmental, economic, social, and technical requirements…
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Artikel Jurnal
A novel neural network model with distributed evolutionary approach for big data classification
Abstract The considerable improvement of technology produced for various applications has resulted in a growth in data sizes, such as healthcare data, which is renowned for having a large number of variables and data samples. Artificial neural networks (ANN) have demonstrated adaptability and…
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Artikel Jurnal Teks lengkap
Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures
In recent years, skin cancer diagnosis has been aided by the most sophisticated and advanced machine learning algorithms, primarily implemented in the spatial domain. In this research work, we concentrated on two crucial phases of a computer-aided diagnosis system: (i) image enhancement through…
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Artikel Jurnal Teks lengkap
Fermatean Fuzzy-Based Personalized Prioritization of Barriers to IoT Adoption within the Clean Energy Context
Globally, industries are focusing on green habits, with world leaders demanding net zero carbon; clean energy is considered an attractive and viable option. The Internet of things (IoT) is an emerging technology with potential opportunities in the clean energy domain for quality improvement in…
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Artikel Jurnal Teks lengkap
A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set
In recent years, the assessment of desirable renewable energy alternative has been an extremely important concern that could change the environment and economic growth. To tackle the circumstances, some authors have paid attention to selecting the desirable renewable energy option by employing the…
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Artikel Jurnal
SSH-DAuth: secret sharing based decentralized OAuth using decentralized identifier
Abstract OAuth2.0 is a Single Sign-On approach that helps to authorize users to log into multiple applications without re-entering the credentials. Here, the OAuth service provider controls the central repository where data is stored, which may lead to third-party fraud and identity theft. To…