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View article: A Hybrid Machine Learning Model for Efficient XML Parsing
A Hybrid Machine Learning Model for Efficient XML Parsing Open
The Extensible Markup Language (XML) files are extensively used for representing structured data on the web for file configuration, exchanging data between distinct applications, web development, and many other applications. Consequently, …
View article: Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data
Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data Open
Millions of people die because of diabetes each year. Furthermore, most adults living with this condition are juggling with one or more other major health concerns. These related diseases also known as comorbidities coexist with the primar…
View article: Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data
Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data Open
Millions of people die because of diabetes each year. Furthermore, most adults living with this condition are juggling with one or more other major health concerns. These related diseases also known as comorbidities, coexist with the prima…
View article: Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data
Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data Open
Millions of people die because of diabetes each year. Furthermore, most adults living with this condition are juggling with one or more other major health concerns. These related diseases also known as comorbidities, coexist with the prima…
View article: Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic
Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic Open
Nowadays, cloud computing is a growing field in research and the marketplace, including virtualization, internet service, computer software, and web services. A cloud comprises multiple elements like a consumer's data center and servers. I…
View article: Quantum Computing for Healthcare: A Review
Quantum Computing for Healthcare: A Review Open
In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ways, leading to…
View article: Quantum Computing for Healthcare: A Review
Quantum Computing for Healthcare: A Review Open
Classical computing works by processing bits, or 0s and 1s representing electrical signals of on and off. Quantum computing employs a very different technique for information processing. It uses qubits, which can exist as both a 1 and 0 at…
View article: Quantum Computing for Healthcare: A Review
Quantum Computing for Healthcare: A Review Open
Quantum computing uses fundamentally different ways of information processing compared to traditional computing systems such as the use of qubits (quantum bits) and the quantum properties of subatomic particles such as interference, entang…
View article: Quantum Computing for Healthcare: A Review
Quantum Computing for Healthcare: A Review Open
Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, …
View article: Quantum Computing for Healthcare: A Review
Quantum Computing for Healthcare: A Review Open
Classical computing works by processing bits, or 0s and 1s representing electrical signals of on and off. Quantum computing employs a very different technique for information processing. It uses qubits, which can exist as both a 1 and 0 at…
View article: Predictive Analytics for Product Configurations in Software Product Lines
Predictive Analytics for Product Configurations in Software Product Lines Open
A Software Product Line (SPL) is a collection of software for configuring software products in which sets of features are configured by different teams of product developers. This process often leads to inconsistencies (or dissatisfaction …
View article: A survey of link flooding attacks in software defined network ecosystems
A survey of link flooding attacks in software defined network ecosystems Open
View article: Feature Selection Optimization in Software Product Lines
Feature Selection Optimization in Software Product Lines Open
Feature modeling is a common approach for configuring and capturing commonalities and variations among different Software Product Lines (SPL) products. This process is carried out by a set of SPL design teams, each working on a different c…
View article: Pattern Matching for DNA Sequencing Data Using Multiple Bloom Filters
Pattern Matching for DNA Sequencing Data Using Multiple Bloom Filters Open
Storing and processing of large DNA sequences has always been a major problem due to increasing volume of DNA sequence data. However, a number of solutions have been proposed but they require significant computation and memory. Therefore, …
View article: Cyberpulse: A Machine Learning Based Link Flooding Attack Mitigation System for Software Defined Networks
Cyberpulse: A Machine Learning Based Link Flooding Attack Mitigation System for Software Defined Networks Open
Software-defined networking (SDN) offers a novel paradigm for effective network management by decoupling the control plane from the data plane thereby allowing a high level of manageability and programmability. However, the notion of a cen…
View article: Cloud provider capacity augmentation through automated resource bartering
Cloud provider capacity augmentation through automated resource bartering Open
View article: Crisis analytics: big data-driven crisis response
Crisis analytics: big data-driven crisis response Open
View article: Big data for development: applications and techniques
Big data for development: applications and techniques Open
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/algorithms to analyze this massive amount…
View article: Big Data For Development: Applications and Techniques
Big Data For Development: Applications and Techniques Open
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/ algorithms to analyze this massive amoun…
View article: Crisis Analytics: Big Data Driven Crisis Response
Crisis Analytics: Big Data Driven Crisis Response Open
Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There…