Science method

Computing Methodologies - Science method

Computer-assisted analysis and processing of problems in a particular area.
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Publications related to Computing Methodologies (3,467)
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Poster
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The Guest Editors are inviting submissions to a Special Issue of the Energies journal on “Soft Computing Applications in Electric Power Networks”. Recently, soft computing applications, as a part of artificial intelligence, have attracted many researchers and engineers to overcome the difficult problems that result from an enormous number of differ...
Article
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Efficient routing of generated packets through the network with minimal overhead in path discovery and subsequent route maintenance is the fundamental objective required in the modern wireless network operation. Recently, the application of autonomic computational learning techniques for design and optimization of routing protocols in ad hoc networ...
Preprint
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The software is changing rapidly with the invention of advanced technologies and methodologies. The ability to rapidly and successfully upgrade software in response to changing business requirements is more vital than ever. For the long-term management of software products, measuring software maintainability is crucial. The use of soft computing te...
Conference Paper
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The MULTI 2022 Collaborative Comparison Challenge was created to promote in-depth discussion between multi-level modeling approaches. This paper presents a comparison of DeepTelos- and DMLA-based solutions in response to the challenge. We first present each approach and solution separately, and then list the similarities and differences between the...
Thesis
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Convex regression is increasingly popular in economics, finance, operations research, machine learning, and statistics. In the productivity and efficiency analysis field, convex regression and its latest development have bridged the long-standing gap between the conventional deterministic nonparametric and stochastic-parametric methods. This disser...
Preprint
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Protein structure predictions have broad impact on several science disciplines such as biology, bioengineering, and medical science. AlphaFold2[1] and RoseTTAFold[2] are the current state-of-the-art AI methods to predict the structures of proteins with an accuracy comparable to lower-resolution experimental methods. In its 2021 year review, both th...
Conference Paper
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YouTube videos are one of the most effective platforms for disseminating creative material and ideas, and they appeal to a diverse audience. Along with adults and older children, young children are avid consumers of YouTube materials. Children often lack means to evaluate if a given content is appropriate for their age, and parents have very limite...
Preprint
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Multi-modality cardiac imaging plays a key role in the management of patients with cardiovascular diseases. It allows a combination of complementary anatomical, morphological and functional information, increases diagnosis accuracy, and improves the efficacy of cardiovascular interventions and clinical outcomes. Fully-automated processing and quant...
Article
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Future large-scale quantum computers will rely on quantum error correction (QEC) to protect the fragile quantum information during computation1,2. Among the possible candidate platforms for realizing quantum computing devices, the compatibility with mature nanofabrication technologies of silicon-based spin qubits offers promise to overcome the chal...
Conference Paper
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Although Deep Learning (DL) is revolutionising practices across fields, it requires a large amount of data and computing resources, requires considerable training time, and is thus expensive. This study proposes a transfer learning approach by adopting a simplified version of a standard Convolution Neural Network (CNN), which is successful in anoth...
Article
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In recent decades, aqueous two phase systems have gained a lot of attention for extraction of different materials. In this work, an aqueous two phase system was made by polyethylene glycol 600 and potassium hydroxide and phase diagram were determined for this system. The experimental binodal data were described using two empirical nonlinear three p...
Article
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Bio-inspired computing approach is based on the nature and biology for solving complex real-world challenges with enhanced solutions. In this modern era smart technology, connectivity and information play a vital role in the enhancement of human daily life. In the insolent connected world, an eruption of data is increasing and it became exceedingly...
Article
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This study aimed to evaluate the use of bioengineering tools, finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation, in computational studies with greater validity and reproducibility. A bibliographic search was performed in the main health databases PUBMED and Scholar Google, in which different studie...
Article
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The pursuit of good management of our waters poses permanent challenges to the whole society. Decision-makers often need to define appropriate and sustainable strategies on interdisciplinary topics, like water management issues. The rapidly evolving quantification and mapping of hydrologic ecosystem services (HES) is putting hydrologic and water ma...
Article
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Smartphones offer unique opportunities to trace the convoluted behavioral patterns accompanying healthy aging. Here we captured smartphone touchscreen interactions from a healthy population (N = 684, ∼309 million interactions) spanning 16 to 86 years of age and trained a decision tree regression model to estimate chronological age based on the inte...
Article
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Smartphones touchscreen interactions may help resolve if and how real-world behavioral dynamics are shaped by aging. Here, in a sample spanning the adult life span (16 to 86 years, N = 598, accumulating 355 million interactions), we clustered the smartphone interactions according to their next inter-touch interval dynamics. There were age-related b...
Article
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Aiming at the launching process of the supersonic barrel-type spinning target projectile, and improving the control accuracy of the open-loop controlled target projectile, making the subsidence angle compensation can improve the accuracy of the launching process, and make the actual flight trajectory closer to the preset theoretical simulation traj...
Article
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Text classification aims to assign labels to textual units such as documents, sentences and paragraphs. Some applications of text classification include sentiment classification and news categorization. In this paper, we present a soft computing technique-based algorithm (TSC) to classify sentiment polarities of tweets as well as news categories fr...
Article
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In this research a model was applied for the purpose of studying the coefficient of loss and studying the propagation coefficient and then calculating the number of cells required for insurance. The required coverage of a given area within a given network (GSM) and the compatibility of the constituent cells of the network .In this study, the Walifs...
Article
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Efficient realization of quantum algorithms is among main challenges on the way towards practical quantum computing. Various libraries and frameworks for quantum software engineering have been developed. Here we present a software package containing implementations of various quantum gates and well-known quantum algorithms using PennyLane library....
Article
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The efficient calculation of the centrality or “hierarchy” of nodes in a network has gained great relevance in recent years due to the generation of large amounts of data. The eigenvector centrality (aka eigencentrality) is quickly becoming a good metric for centrality due to both its simplicity and fidelity. In this work we lay the foundations for...
Article
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One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning. In this paper, we apply Quantum Machine Learning (QML) frameworks to improve binary classification models for noisy datasets which...
Article
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Quantum networks promise to provide the infrastructure for many disruptive applications, such as efficient long-distance quantum communication and distributed quantum computing1,2. Central to these networks is the ability to distribute entanglement between distant nodes using photonic channels. Initially developed for quantum teleportation3,4 and l...
Conference Paper
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Traditional text steganalysis methods rely on a large amount of labeled data. At the same time, the test data should be independent and identically distributed with the training data. However, in practice, a large number of text types make it difficult to satisfy the i.i.d condition between the training set and the test set, which leads to the prob...
Conference Paper
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Most storytelling games bring people together to co-create stories. However, they often require considerable creative effort and skills from all players, possibly discouraging less resourceful participants and impairing stories' quality. Moreover, most stories created within these games are usually only kept in players' minds rather than on storage...
Article
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With the deepening of China’s electricity spot market construction, spot market price prediction is the basis for making reasonable quotation strategies. This paper proposes a day-ahead spot market price forecast based on a hybrid extreme learning machine technology. Firstly, the trading center’s information is examined using the Spearman correlati...
Thesis
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Gene-gene and gene-environment interactions are often regarded as playing significant roles in influencing variabilities of complex traits. Although much research has been devoted to this area, to date any comprehensive statistical model that addresses the various sources of uncertainties, seem to be lacking. In this thesis, we propose and develop...
Article
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Over the most recent couple of years, the Internet of Things and other empowering innovations have been logically utilized for digitizing the vegetable supply chain (VSC). Background: The unpredictable examples and complexity inserted in enormous data dimensions present a test for an orderly human master examination. Hence in an information-driven...
Article
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The ocean is the second most vital space for human production and life, and it is a backbone of the ecosystem of the earth. There is a strong correlation between the ocean’s spatial distribution and environment; similarly, there is a strong correlation between spatial distribution and economic sustainability. This study proposes a strategy for anal...
Preprint
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Background - Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-established challenges in reporting. This study presents novel data of clinicians’ confidence in inte...
Book
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The 20th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 2021), a flagship conference in this field, has been held in Banff, Canada and online worldwide during Oct. 29-31, 2021. Cognitive Informatics (CI) is a transdisciplinary field that studies the internal information processing mechanisms of the brain, th...
Article
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In the field of network security, although there has been related work on software vulnerability detection based on classic machine learning, detection ability is directly proportional to the scale of training data. A quantum neural network has been proven to solve the memory bottleneck problem of classical machine learning, so it has far-reaching...
Article
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Plasmonic nano-objects have shown great potential in enhancing applications like biological/chemical sensing, light harvesting and energy transfer, and optical/quantum computing. Therefore, an extensive effort has been vested in optimizing plasmonic systems and exploiting their field enhancement properties. Super-resolution imaging with quantum dot...
Article
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Background: Breast cancer is considered one of the most common cancers in women caused by various clinical, lifestyle, social, and economic factors. Machine learning has the potential to predict breast cancer based on features hidden in data. Objective: This study aimed to predict breast cancer using different machine-learning approaches applyin...
Preprint
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Businesses continue to operate under increasingly complex demands such as ever-evolving regulatory landscape, personalization requirements from software apps, and stricter governance with respect to security and privacy. In response to these challenges, large enterprises have been emphasizing automation across a wide range, starting with business p...
Article
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We address the problem of simplifying two‐dimensional polygonal partitions that exhibit strong regularities. Such partitions are relevant for reconstructing urban scenes in a concise way. Preserving long linear structures spanning several partition cells motivates a point‐line projective duality approach in which points represent line intersections...
Article
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This paper presents a geospatial analysis of two oceanic trenches using a GMT (Generic Mapping Tools) cartographic method that exploits the scripting approach to visualisation of their geometric shapes. To this end, the research applies the high-resolution datasets GEBCO and ETOPO1 and ETOPO5 for modelling of the submarine relief. This allows takin...
Conference Paper
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Code summarization aims to generate brief natural language descriptions for source codes. The state-of-the-art approaches follow a transformer-based encoder-decoder architecture. As the source code is highly structured and follows strict grammars, its Abstract Syntax Tree (AST) is widely used for encoding structural information. However, ASTs are m...
Conference Paper
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The robustness and availability of cloud services are becoming increasingly important as more applications migrate to the cloud. The operations landscape today is more complex, than ever. Site reliability engineers (SREs) are expected to handle more incidents than ever before with shorter service-level agreements (SLAs). By exploiting log, tracing,...
Conference Paper
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Performance regression testing is a foundation of modern DevOps processes and pipelines. Thus, the detection of change points, i.e., updates or commits that cause a significant change in the performance of the software, is of special importance. Typically, validating potential change points relies on humans, which is a considerable bottleneck and c...
Conference Paper
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The growing production of digital content and its dissemination across the worldwide web require efficient and precise management. In this context, image quality assessment measures (IQAMs) play a pivotal role in guiding the development of numerous image processing systems for compression, enhancement, and restoration. The structural similarity ind...
Article
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The 3-dimensional fold of an RNA molecule is largely determined by patterns of intramolecular hydrogen bonds between bases. Predicting the base pairing network from the sequence, also referred to as RNA secondary structure prediction or RNA folding, is a nondeterministic polynomial-time (NP)-complete computational problem. The structure of the mole...
Article
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The possibility that neutrinos may be their own antiparticles, unique among the known fundamental particles, arises from the symmetric theory of fermions proposed by Ettore Majorana in 19371. Given the profound consequences of such Majorana neutrinos, among which is a potential explanation for the matter–antimatter asymmetry of the universe via lep...
Article
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An accurate prediction of Fan/Outlet-Guide-Vane (OGV) interaction broadband noise (BBN) is fundamental to correctly characterise the noise footprint of high bypass ratio turbofan engines. A three-dimensional synthetic turbulence BBN prediction methodology, which accounts for cascade effects and the airfoil geometry using a frequency-domain Linearis...
Article
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Intractable complexity may be encountered as the construction project advances. Existing research rarely investigates the time-updated dynamic in project complexity as the project process progresses. This study develops a novel systematic soft computing approach based on Bayesian inference to explore the evolutionary dynamics in project complexity...
Article
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Credit scoring is a prominent research problem as its predictive performance is accountable for the viability of financial industry. Credit scoring datasets are high-dimensional which are related to customers’ credentials such as annual income, job status, residential status, etc. In high-dimensional data, many of the features may be irrelevant or...
Article
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One major challenge in deploying Deep Neural Network (DNN) in resource-constrained applications, such as edge nodes, mobile embedded systems, and IoT devices, is its high energy cost. The emerging approximate computing methodology can effectively reduce the energy consumption during the computing process in DNN. However, a recent study shows that t...
Article
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We assess costs and efficiency of state-of-the-art high-performance cloud computing and compare the results to traditional on-premises compute clusters. Our use case is atomistic simulations carried out with the GROMACS molecular dynamics (MD) toolkit with a particular focus on alchemical protein-ligand binding free energy calculations. We set up a...
Preprint
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In this manuscript, we calculate the ground state energy of benzene under spatial deformations by using a state-of-the-art quantum computing methodology - the variational quantum eigensolver (VQE). The primary goal of the study is estimating the feasibility of using quantum computing ansatze on near-term devices for solving problems with large numb...
Preprint
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Public Policies are not intrinsically positive or negative. Rather, policies provide varying levels of effects across different recipients. Methodologically, computational modeling enables the application of a combination of multiple influences on empirical data, thus allowing for heterogeneous response to policies. We use a random forest machine l...
Article
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The work of speech affirmation is one of the entrancing field with respect to speech signal taking care of. Achieving accuracy and strength is a very problematic limit to various regular components. Reformist work and reviews in the speech recognition application has been gotten using Soft Computing, as one of the system to further develop the affi...
Article
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Lecturers have different perceptions of the effect of internal continuous assessment (ICASS) on students at tertiary vocational education and training (TVET) colleges. This qualitative multiple case study explored computer practice module lecturer's experience of internal continuous assessment (ICASS) in three KwaZulu-Natal TVET colleges. Six lectu...
Article
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The most advanced D-Wave Advantage quantum annealer has 5000+ qubits, however, every qubit is connected to a small number of neighbors. As such, implementation of a fully-connected graph results in an order of magnitude reduction in qubit count. To compensate for the reduced number of qubits, one has to rely on special heuristic software such as qb...
Article
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Cumulative oil predictions are made from stochastically inverted earth attributes. The inverted attributes are from the SEAM Life of Field model and an offshore field in West Africa. To perform the prediction we use a Naïve Bayesian Classifier for its transparency in methodology, computational efficiency, and flexibility. The inverted properties we...
Article
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3D visualization of and interaction with CAD models are fundamental tasks in web and mobile XR applications. Meshes of CAD model surfaces, however, have too many triangles to be interactively rendered in these environments. Despite all development in mesh simplification literature, currently, there is no algorithm capable of producing a low-poly re...
Article
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Nuclear spins were among the first physical platforms to be considered for quantum information processing1,2, because of their exceptional quantum coherence³ and atomic-scale footprint. However, their full potential for quantum computing has not yet been realized, owing to the lack of methods with which to link nuclear qubits within a scalable devi...
Article
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This article first established a university network education system model based on physical failure repair behavior at the big data infrastructure layer and then examined in depth the complex common causes of multiple data failures in the big data environment caused by a single physical machine failure, all based on the principle of mobile edge co...