Network security is crucial to ensure the protection of information systems in an increasingly connected world, and network traffic attack detection is an important aspect of maintaining system integrity. This study a...
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Facial emotion recognition (FER) systems have gained popularity due to their applications in various fields, including healthcare, cognitive science, video conferencing, and driver safety. However, recognizing facial ...
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Exploring the relationship between sample size and the performance of machine learning models in diagnosing cardiovascular diseases (CVD) aids in understanding the optimal data volume required to achieve reliable and ...
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Precision matrix estimation is a ubiquitous task featuring numerous applications such as rare disease diagnosis and neural connectivity exploration. However, this task becomes challenging in small sample settings, whe...
The revolutionary potential of a technology project intended to alter Indian agriculture. Using *** and MongoDB for backend operations and Kotlin Java for frontend development in Android Studio, the suggested applicat...
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The introduction of a pioneering smart solution for public transport is in line with the goals of improving urban mobility and sustainability. This solution offers real-time bus tracking, seat availability and route d...
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Agribusiness is the primary occupation chosen by more than 40% of the worldwide populace. The types of equipment used to complete a variety of tasks in traditional farming operations are expensive and inadequately mad...
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In the domain of bioinformatics, DNA sequence classification is an indispensable tool that spans various scientific disciplines, contributing to scientists' understanding of biology, aiding in the identification o...
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ISBN:
(纸本)9798350350289
In the domain of bioinformatics, DNA sequence classification is an indispensable tool that spans various scientific disciplines, contributing to scientists' understanding of biology, aiding in the identification of genes, regulatory elements, and the functional significance of distinct genomic regions. Moreover, it plays a vital role in disease diagnosis, treatment strategies, drug discovery, evolution, agriculture, forensic identification, environmental monitoring and more. The classification process involves the intricate mapping of DNA sequences to distinct classes based on the arrangement of nucleotides. A fractional mutation in the sequence corresponds to a nuanced shift in the assigned class. Every numerical instance, serving as a depiction of a particular class, is closely associated with a specific gene lineage. In this study, for the DNA sequence preprocessing, both K-mer counting and count vectorization were used respectively. Afterwards, we utilized a variety of classifier models, encompassing Multinomial naive bayes (MNB), Logistic regression (LR), Random forest (RF), LightGBM (LGMB), XGBoost (XGB), K-nearest neighbors (KNN) and Decision tree (DT) algorithm on three types of DNA sequence datasets (Human, Chimpanzee & Dog) to identify each of sequence's corresponding gene class (0, 1, 2, 3, 4, 5, & 6). Then, the highest three and highest five classifier models were picked based on their accuracy scores. Afterwards, both soft voting and hard voting ensemble methods were implemented on this cluster of fundamental models to effectively leverage their collective predictive strength. The soft voting ensemble on the best three models consistently reached the highest accuracy across all three datasets. Employing this ensemble method, the human, chimpanzee, and dog datasets exhibited highest performance metrics i.e. accuracy, precision, recall, and fl-scores of (98.42 %, 98.41 %, 98.40%, 98.40%), (92.28%, 92.40%, 92.30%, 92.10%), and (70.12%, 73.10%, 70.10%, 69.2
The fusion of computer vision and natural language processing (NLP) has given rise to the interdisciplinary field of automatic image captioning, which aims to generate descriptive text for images without human interve...
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A graph invariant is a number that can be easily and uniquely calculated through a ***,part of mathematical graph invariants has been portrayed and utilized for relationship ***,no reliable appraisal has been embraced...
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A graph invariant is a number that can be easily and uniquely calculated through a ***,part of mathematical graph invariants has been portrayed and utilized for relationship ***,no reliable appraisal has been embraced to pick,how much these invariants are associated with a network graph in interconnection networks of various fields of computerscience,physics,and *** this paper,the study talks about sudoku networks will be networks of fractal nature having some applications in computerscience like sudoku puzzle game,intelligent systems,Local area network(LAN)development and parallel processors interconnections,music composition creation,physics like power generation interconnections,Photovoltaic(PV)cells and chemistry,synthesis of chemical *** networks are generally utilized in disorder,fractals,recursive groupings,and complex *** outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor(KBSO)invariants,Irregularity sombor(ISO)index,Contraharmonic-quadratic invariants(CQIs)and dharwad invariants with their reduced *** study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in *** calculated outcomes can be utilized for the modeling,scalability,introduction of new architectures of sudoku puzzle games,intelligent systems,PV cells,interconnection networks,chemical compounds,and extremely huge scope in very large-scale integrated circuits(VLSI)of processors.
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