In the next section, findings of the experimental analysis conducted to assess the performance of the MOCPO algorithm are presented. Every experiment was conducted independently 30 times with a population size of 40 and a maximum of 1000…
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Agnostic viral detection at single-cell resolution reveals novel viruses
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This is a summary of: Luebbert, L. et al. Detection of viral sequences at single-cell resolution identifies…
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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images
In this study, a novel MTLSO-BMCC approach using biomedical histopathological images is developed. The main intention of the MTLSO-BMCC technique is to identify and classify BM cells using HI. The presented MTLSO-BMCC method has image…
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The efficacy of the theory of planned behaviour and value-belief-norm theory for predicting young Chinese intention to choose green hotels
Niloy, A. C., Sultana, J., Alam, J., Ghosh, A. & Farhan, K. M. What triggers you to buy green products? Explaining through an extended TPB model. Asia-Pacific J. Manage. Res. Innov. 19, 25–39. https://doi.org/10.1177/2319510X231171195 (2023).
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Preclinical validation of TGFβ inhibitors as a novel therapeutic strategy for post-traumatic heterotopic ossification
TGFβ inhibitors selectively regulate SMAD2/3 phosphorylation while having minor effects on the proliferation and survival of human primary MPCs
We and others have previously demonstrated that TGFβ levels are elevated in humans after injury and…
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An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making
The escalating challenges in climate change and their impacts on the environment, economy, and society pose an urgent need for procedures and policies to mitigate its negative impact. The development of deep learning models for effective…
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An intelligent federated learning boosted cyberattack detection system for Denial-Of-Wallet attack using advanced heuristic search with multimodal approaches
This manuscript presents a novel CDMDoW-AMOAFL model. The proposed model aims to detect and mitigate malicious activities in a network. To accomplish that, the CDMDoW-AMOAFL method uses data normalization, feature selection using HHO, an ensemble…
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Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability
Semantic interoperability and what natural languages like English can teach us
The EOSC Interoperability Framework characterizes semantic interoperability as a requirement for enabling machine-actionability between information systems, and it is…
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Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach
Sanjeevi J, Houlihan D, Bergstrom KA, Langley MM, Judkins J. A review of child sexual abuse: impact, risk, and resilience in the context of culture. J Child Sex Abus. 2018;27:622–41.
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm
This paper presents an MHAID-IWSOA methodology for IoT networks. The technique mainly intends to enhance the cybersecurity detection and migration model using advanced optimization techniques. Figure 2 signifies the entire flow of the method.
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