Internet of Things is a new trend outside traditional computing devices which are connected to the Internet whereby linking small and efficient embedded computing to a web-platform, thereby creating a new world of con...
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In this paper, two custom communication applications are designed and modeled by using OPNET simulation platform. The first application only provides the clients plain text communication service but the second one ens...
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Predicting traffic flow is one of the most crucial tasks performed by the intelligent transportation system. This is a precise prediction of the volume of traffic in a certain area at a specific future date. The study...
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A reference-guided algorithm for DNA assembly of non-model organisms is proposed. The method enables the use of not only within or closely-related species but also a more distantly-related species as a starting point ...
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The development of blockchain has allowed for the development of new concepts and ideas. A completely immutable ledger might not be appropriate for all new applications that are being envisaged for the blockchain. One...
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As a high-level programming language, Python supports user-friendly coding and system integration. It is not only used for data analytics but is also applied in software development. Although it has several benefits, ...
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A go-back (GB) function for canceling recent user or system operations and going back to and resuming of previous state(s) is very often used regardless of the application domain. Therefore, faulty handling of them ca...
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Viral membrane proteins (VMPs) are essential viral components located on the surface of enveloped viruses, playing a critical role during the viral infection of host cells. Based on their structural characteristics, m...
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Viral membrane proteins (VMPs) are essential viral components located on the surface of enveloped viruses, playing a critical role during the viral infection of host cells. Based on their structural characteristics, membrane localization, and functional properties, VMPs can be categorized into lipid anchor chains, multichannel membrane proteins, peripheral membrane proteins, and single-channel proteins. These classifications directly correlate with their biological functions. Therefore, accurately identifying and analyzing the functional types of VMPs is crucial for advancing antiviral drug discovery and vaccine development. In this study, we developed a multiclass machine learning (ML) model to classify VMPs types based on sequence-derived information. The proposed approach integrated compositional and physicochemical features with a transformer-based multi-layer perceptron (MLP) model. Its performance was benchmarked against conventional ML classifiers, including support vector machines (SVM), decision trees (DT), random forests (RF), and naive bayes (NB). Our transformer-based MLP model significantly outperformed these baseline classifiers, achieving an overall area under the receiver operating characteristic curve (AUC) of 0.94 and an overall area under the precision-recall curve (AUPRC) of 0.89. These promising results highlight the effectiveness of transformer architectures in classifying VMPs by capturing subtle yet critical feature relationships necessary for accurate predictions. Ultimately, our findings contribute valuable insights toward antiviral drug development and effective disease-control strategies.
Breast cancer, the most common cancer affecting female patients, presents serious challenges for proper detection. Although computer-aided diagnostic techniques have progressed, their accuracy and efficacy remain limi...
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作者：
KomalRajkumarUiet Maharshi Dayanand University
Department of Computer Science and Engineering Haryana Rohtak124001 India
Faculty of Department of Computer Science and Engineering Haryana Rohtak124001 India
The purpose of blockchain technology is to make it feasible to store and transfer digital data without the danger of it being changed in transit. Immutable ledgers or transaction records that cannot be edited, erased,...
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