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Publications related to Computer Science (10,000)
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Research
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This Special Issue, "Advances in Linear Recurrence System", welcomes submissions from a broad interdisciplinary area. Typical interdisciplinary uses of recurrence relations are to describe the kinetics of physical, chemical, and biological processes. In biology, some of the best-known difference equations originated from the attempt to model popula...
Conference Paper
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Cross disciplinary research is essential for technological innovation. For decades, computer science (Comp Sci) has leveraged behavior science (Behav Sci) research to create innovative products and improve end user experience. Despite the natural challenges that come with cross disciplinary work, there are no published manuscripts outlining how to...
Chapter
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In this study, the factors affecting personal development and online education of undergraduate computer science students during pandemic lockdown have been investigated. Due to sudden outbreak of Covid-19, undergraduate students were forced to shift to home-schooling, an experience they never tried before. The results of the conducted survey and s...
Article
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A R T I C L E I N F O Keywords: Multi-centered binary pattern (MCBP) Surface electromyogram (sEMG) Finger movements classification Machine learning A B S T R A C T The number of individuals who have lost their fingers in our world is quite high and these individuals experience great difficulties in performing their daily work. Finger movements clas...
Article
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We study the Gaussian noise stability of subsets A of Euclidean space satisfying A=-A. It is shown that an interval centered at the origin, or its complement, maximizes noise stability for small correlation, among symmetric subsets of the real line of fixed Gaussian measure. In the plane, we show that a ball or its complement locally maximizes nois...
Article
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One of the most influential working hypotheses in psychology, to this day, is that human information processing in higher-order cognition (e.g., judgment and decision-making) is constrained by having to process objects serially, one at a time. However, a rather large body of research, accumulated over the past 50 years, has demonstrated that serial...
Article
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With the innovative development of advanced technology in the field of medical, there is an enlargement in the generation of other problems such as management of biomedical waste. Hazardous waste generated from hospitals is required to be managed within time and it can be done effectively using some computer science technology. In the proposed meth...
Article
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Upon graduation, a computer science student should have a good understanding of the current technology and have the soft skills necessary to secure a position in industry. Considering that typical computers and even the common smartphone are multicore, students should be skilled in parallel programming. Integrating parallel programming and soft ski...
Article
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The inverse Weibull distribution is successfully applied in many different disciplines e.g., reliability engineering, bioengineering and modeling of survival data. There are lots of statistical and computer science techniques e.g., particle swarm optimization, employed to estimate the parameters of this distribution and its generalization. The suit...
Article
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Given the difficulties in predicting human behavior, one may wish to establish bounds on our ability to accurately perform such predictions. In the case of mobility-related behavior, there exists a fundamental technique to estimate the predictability of an individual’s mobility, as expressed in a given dataset. Although useful in several scenarios,...
Article
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We study two-qubit circuits over the Clifford+CS gate set, which consists of the Clifford gates together with the controlled-phase gate CS = diag(1, 1, 1, i ). The Clifford+CS gate set is universal for quantum computation and its elements can be implemented fault-tolerantly in most error-correcting schemes through magic state distillation. Since no...
Article
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Quantum machine learning models have the potential to offer speedups and better predictive accuracy compared to their classical counterparts. However, these quantum algorithms, like their classical counterparts, have been shown to also be vulnerable to input perturbations, in particular for classification problems. These can arise either from noisy...
Article
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We introduce and study the notion of a class of games which are the combination of the elements of chance (e.g., rolling one or two dice) and no-chance (e.g., choosing one or two numbers) by the players alternatively. Explicitly, we provide and discuss a method that converts a no-chance-based game such as an impartial combinatorial game into a mixe...
Poster
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The Larbi Ben M’hidi University of Oum El Bouaghi through the Electronics and New Technologies ‎Laboratory (LENT) is organizing the first international conference on electronics, artificial intelligence and ‎new technologies. This conference will cover all the research activities of the laboratory; moreover, the ‎conference will include different a...
Poster
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TOPICS The activity includes all interdisciplinary fields of engineering and natural sciences including mechanics, computer science and electrics. You can have an idea on the topical fields at http://icmece.org/scope-and-interests
Conference Paper
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In this paper we use computer science data collection and cleaning tools to determine the top keyword and keyword itemsets used by 2020 presidential candidates Donald Trump and Joe Biden throughout their campaign rhetoric. In our analysis we discuss the major themes of each candidate’s rhetorical persona, determining both their discursive first per...
Book
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This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities...
Article
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Monotone modal logics have emerged in several application areas such as computer science and social choice theory. Since many of the most studied selfextensional logics have a conjunction, in this paper we study some distributive extensions obtained from a semilattice based deductive system with monotonic modal operators, and we give them neighborh...
Article
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Security is a requirement of utmost importance to produce high-quality software. However, there is still a considerable amount of vulnerabilities being discovered and fixed almost weekly. We hypothesize that developers affect the maintainability of their codebases when patching vulnerabilities. This paper evaluates the impact of patches to improve...
Article
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In this paper we go further with the study initiated by Behle, Krebs and Reifferscheid (in: Proceedings CAI 2011, Lecture Notes in Computer Science, vol 6742, pp 97–114, 2011), who gave an Eilenberg-type theorem for non-regular languages via typed monoids. We provide a new extension of that result, inspired by the one carried out by Pin in the regu...
Poster
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Conference Book - Virtual Conference Schedule of The 8th International Conference on Electrical Engineering, Computer Science an Information (EECSI 2021)
Conference Paper
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DevOps is a set of practices in software engineering that is in high demand by industry. It is a dynamic field which constantly adds new methods and tools. Teaching DevOps prepares today's computer science students for best-practices in a working environment but challenges university lecturers to provide central concepts while staying up-to-date wi...
Article
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Artificial intelligence is a subject that studies all kinds of human intelligent activities and their laws. It is developed on the basis of the cohesion of many disciplines such as computer science, politics, information system, neurophysiology, psychology, philosophy, and language. This paper aims to study how to build a computer or intelligent ma...
Conference Paper
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For architects and other artists, shape grammars, that are part of the computational thinking concept, have been an effective initial tool of transition between the realm of design and the classic computer. The dissemination of computer science and its mindset is only possible when it is supported by adequate pedagogical processes. The presented pa...
Article
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NLP on Turing Award R. W. Hamming. One man’s view of computer science
Article
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Ontology-driven conceptual models are part of a prominent and growing area within Computer Science. Their use allows better knowledge about a domain, improving understanding, communication and analysis tasks. To develop OntoGender we worked not only on the domain of Studies in Gender and Sexuality, but also, we deepened in ontologies and Ontology E...
Article
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Community detection concepts can be encountered in many disciplines such as sociology, biology, and computer science, etc. Nowadays, a huge amount of data is produced by digital social networks and needs to be processed. In fact, the analysis of this data makes it possible to extract new knowledge about groups of individuals, their communication mo...
Preprint
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Optimal transport theory has recently reemerged as a vastly resourceful field of mathematics with elegant applications across physics and computer science. Harnessing methods from geometry processing, we report on the efficient implementation for a specific problem in cosmology -- the reconstruction of the linear density field from low redshifts, i...
Book
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The English Proficiency in Cybernetics textbook has been designed for the students completing their 4 th year of undergraduate study in Applied Mathematics, Computer Sciences, System Analysis, and Software Engineering. The course applies for those students who have a specific area of academic or professional interest. Technology-integrated English...
Article
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Dear Dr. Belhocine, A short note to thank you very much for your review of the following manuscript: Manuscript ID: symmetry-1400287 Title: Solvability analysis of a mixed boundary value problem for stationary magnetohydrodynamic equations of a viscous incompressible fluid Authors: Gennadii Alekseev *, Roman V. Brizitskii If we decide to ask the...
Preprint
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The basic aims of the study are to liberate emerging phases and all trends of ISO 9000 literature review over 29 years, from 1987 to 2016. The literature on ISO 9000 from 103 refereed journal articles in management disciplines, healthcare, computer science business, information systems, etc. this research were systematically investigate based on a...
Research Proposal
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A genetic algorithm is a computer science technique for locating appropriate solutions to combinatorial optimization problems. Genetic algorithms are a subset of evolutionary algorithms that use evolutionary principles including heredity, mutation, natural selection, and crossover to solve problems. In this study, I will provide the outcomes of the...
Thesis
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The research developed a comprehensive trait based structural equation model for measuring self regulated learning among Engineering undergraduates of STEM discipline. The model is measurement invariant with respect to gender, stream (Computer Science and Mechanical engineering) and batch (IInd and IIIrd year engineering students). Latent profile a...
Article
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The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge1,2. Recent advances in interpretability of machine learning models as applied to biomedical problems may enable discovery and prediction in clinical cancer genomics3–5. Here we developed P-NET—a...
Article
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Le terme « créativité » est utilisé de façon très diversifiée dans le milieu professionnel, technologique, socioéconomique ou encore dans le contexte scolaire. Dans une perspective exploratoire, une révision de la littérature scientifique francophone en sciences de l'éducation a permis d'identifier les champs de connaissances qui mobilisent ce conc...
Article
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Community detection is a fundamental procedure in the analysis of network data. Despite decades of research, there is still no consensus on the definition of a community. To analytically test the realness of a candidate community in weighted networks, we present a general formulation from a significance testing perspective. In this new formulation,...
Article
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Frame theory is an active research area in mathematics, computer science and engineering with many 10 exciting applications in a variety of different fields. In this paper we study the notion of dual continuous K-frames 11 in Hilbert spaces. Also we etablish some properties. 12
Article
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Rapid development of the computing hardware and software components has created many new technological directions for the use of computer tools. Thus, information, digital and end-to-end technologies for the processing of a variety of data exist and are developing, as well as many different types of platforms for their support, including digital pl...
Preprint
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In the School of Computing at the Dublin Institute of Technology (DIT), we undertook our "Computer Science for All" (CS4All) initiative, a five year strategy to implement structural reforms at Faculty level, to address recruitment and retention issues of female undergraduate computer science (CS) students. Since 2012, under CS4All we implemented a...
Preprint
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The diagonalization technique was invented by Cantor to show that there are more real numbers than algebraic numbers, and is very important in computer science. In this work, we enumerate all polynomial-time deterministic Turing machines and diagonalize over all of them by an universal nondeterministic Turing machine. As a result, we obtain that th...
Article
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Vehicle re-identification (re-id) aims to solve the problems of matching and identifying the same vehicle under the scenes across multiple surveillance cameras. For public security and intelligent transportation system (ITS), it is extremely important to locate the target vehicle quickly and accurately in the massive vehicle database. However, re-i...
Preprint
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As at 2019, Technological University Dublin* Computer Science is the top university in Ireland in terms of gender balance of female academic staff in computer science schools. In an academic team of approximately 55 full-time equivalents, 36% of our academic staff are female, 50% of our senior academic leadership team (2 of 4) are female and 75% of...
Article
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Due to the increase in computing power, it is possible to improve the feature extraction and data fitting capabilities of DNN networks by increasing their depth and model complexity. However, the big data and complex models greatly increase the training overhead of DNN, so accelerating their training process becomes a key task. The Tianhe-3 peak sp...
Article
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With the Internet of Things (IoT) gradually evolving as the subsequent phase of the evolution of the Internet, it becomes crucial to recognize the various potential domains for application of IoT, and the research challenges that are associated with these applications. Ranging from smart cities, to health care, smart agriculture, logistics and reta...
Conference Paper
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Computer programming courses are within the scope of both Computer Science (CS) and Information Systems (IS) studies. Considering, however, the various educational aims and backgrounds of these two types of studies, there is a question whether the same teaching methods and tools could and/or should be used for both. In this paper, we investigate a...
Article
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This paper introduces the new study about combining the concept of Coloring with Fractal Graphs. Fractal Graph is the famous graph which has self-similarity property included it. It is developed in many areas and has much application in various engineering fields like computer science, Physical, Medical etc. Coloring is the advanced tool of Graph T...
Article
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In an image based virtual try-on network, both features of the target clothes and the input human body should be preserved. However, current techniques failed to solve the problems of blurriness on complex clothes details and artifacts on human body occlusion regions at the same time. To tackle this issue, we propose a non-local virtual try-on netw...
Article
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Flank wear is the most common wear that happens in the end milling process. However, the process of detecting the flank wear is cumbersome. To achieve comprehensively automatic detecting the flank wear area of the spiral end milling cutter, this study proposed a novel flank wear detection method of combining the template matching and deep learning...
Article
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Prehistoric stone tools are an important source of evidence for the study of human behavioural and cognitive evolution. Archaeologists use insights from the experimental replication of lithics to understand phenomena such as the behaviours and cognitive capacities required to manufacture them. However, such experiments can require large amounts of...
Book
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This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of conce...
Article
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Medical images are difficult to comprehend for a person without expertise. The scarcity of medical practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing human errors during the diagnosis. In such scenarios, having an additional opinion can be helpful in boosting the confidence o...
Article
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The intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. However, the principles governing relations between environmental complexity, evolved morphology, and the...
Article
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The concept of KM-algebras has been originated in 2019. KM-algebra is a generalization of some of the B-algebras such as BCK, BCI, BCH, BE, and BV and also d-algebras. KM-algebra serves two purposes in mathematics and computer science as follows: a tool for application in both fields and a strategy for creating the foundations. On the fuzziness of...
Article
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An artificial neural network consists of neurons and synapses. Neuron gives output based on its input according to non-linear activation functions such as the Sigmoid, Hyperbolic Tangent (Tanh), or Rectified Linear Unit (ReLU) functions, etc.. Synapses connect the neuron outputs to their inputs with tunable real-valued weights. The most resource-de...
Article
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As a result of the current Covid-19 pandemic, a shift in teaching and learning from face-to-face to video-based online instructional settings has occurred in higher education. For online teaching, strategies are required to allow collaboration and interaction between learners, similar to face-to-face teaching. Therefore, it is essential to identify...
Preprint
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Context. Pair programming (PP) has been found to increase student interest in Computer Science, particularly so for women, and would therefore appear to be a way to help remedy their under-representation, which could be partially motivated by gender stereotypes applied to software engineers, assuming that men perform better than their women peers....
Research
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The main focus of this special track is on emerging trends and technologies associated with artificial intelligence and machine learning and their application in order to provide efficient solutions to real-world problems. This session aims to bring together leading academicians, researchers, scientists and industrialists to exchange as well as sha...
Chapter
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Natural Language processing (NLP) dealing with Artificial Intelligence concept is a subfield of Computer Science, enabling computers to understand and process human language. Natural Language Processing being a part of artificial intelligence provides understanding of human language by computers for the purpose of extracting information or insights...
Article
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The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to X-ray and CT-scan medical images for the detection of COVID-19. In this paper, we used four powerful pre-trained CNN models, VGG16, DenseNet121, ResNet50,and ResNet152, for the COVID-19 CT-scan binary classification task. The proposed Fa...
Chapter
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The convergence of computer science and electronics domain has resulted in the Internet of Things, which is perhaps the most striking innovative outcome (IOT). The Internet of Things (IoT) is a innovative technology with the aim of rapid evolvement by means of numerous new advancements in clinical and wellness areas. Over the last few years, the im...
Article
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Representing a static set of integers S, \(|S| = n\) from a finite universe \(U = [1{..}u]\) is a fundamental task in computer science. Our concern is to represent S in small space while supporting the operations of \(\mathsf {rank}\) and \(\mathsf {select}\) on S; if S is viewed as its characteristic vector, the problem becomes that of representin...
Article
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Camera trapping is increasingly being used to monitor wildlife, but this technology typically requires extensive data annotation. Recently, deep learning has substantially advanced automatic wildlife recognition. However, current methods are hampered by a dependence on large static datasets, whereas wildlife data are intrinsically dynamic and invol...
Article
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Representing an image through a tree structure as provided with a morphological hierarchy enables efficient image analysis and processing methods operating directly on the tree structure. Max-tree and min-tree can be built with efficient algorithms but they only focus on brighter and darker components of the image respectively. Conversely, the Tree...
Chapter
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Research on written artefacts, particularly on manuscripts, was conducted long before digital methods were developed and computer technology became available for everyone. The use of methods from computer science for this research, however, adds a completely new level of possibilities. This article will discuss the various premises of this task and...