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716 articles for “Data Types”
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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Online Attacks: Types of Data Breach and Cyber- Attack Prevention Methods
Abstract: Phishing attacks are a common tactic used by cybercriminals to lure unsuspecting users into providing their private information. The need to look for and develop methods of detecting different threat kinds is determined by the detection of the cybersecurity (CS) state of Internet of Things (IoT) devices. In order to prevent some built-in protective mechanisms from the perspective of a possible intruder, software and hardware modifications are made easier thanks …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 21–26 Read article
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The Evolution of Programming Languages: A Survey from Early Achievements to Modern Advancements
Abstract: Programming languages are fundamental to software development, providing the means for developers to communicate instructions to computers. This study provides a broad overview of programming languages and their history, classifications, key elements, the compiler and interpreter systems that implement them, and notable trends driving innovation. It examines imperative, object-oriented, functional, logical, and scripting languages while exploring syntax, semantics, typing systems, abstraction, variables and bindings, control flow, and runtime environment considerations. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 8–14 Read article
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Arrays: Review
Abstract: This paper contains a description of the array data type and some discussion as to how we allocate memory space to arrays. The value of defining arrays as an abstract data type is primarily for systems programmers, who works behind the scenes and bring you all the wonderful software that comes with Operating systems such as; compilers, linkers, files managers, text editors, etc. For most of us mortal people, we …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 24–26 Read article
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Customer Preference About Tourism using Opinion Based Mining/Sentiment Analysis
Abstract: The article can help researchers and practitioners who want to collect, gather and analyse social media data. Innovation and the Internet have significantly modified how travel is booked, the relationship between travellers and the travel industry, and how vacationers share their travel experiences. Because of this assortment of choices, mass the travel industry markets have been scattering. Be that as it may,the worldwide interest has not fallen; a remarkable opposite, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 3, 2021 · pp. 24–28 Read article
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Big Data: A Survey Paper on Big Data Technologies
Abstract: AbstractThere are many Big Data technologies that have been making an impact on the new technology stacks for handling Big Data, but Apache Hadoop is one technology that has been the darling of Big Data talk. Hadoop is an open-source platform for storage and processing of diverse data types that enables data-driven enterprises to rapidly derive the complete value from all their data. A plethora of Big Data Analytics technologies …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 3, 2020 · pp. 1–7 Read article
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Security Buff: Cloud Computing and Big DATA
Abstract: Cloud computing is an internet based application used for accessing and computing the information and many more sources. The technical term “Cloud Computing” gives us the shared computer processing devices over a renowned network where user can use it. In cloud computing not only desktop application has been engaged but also mobile applications are also connected over it. These days cloud computing becoming amazing technology for many other cloud service …
Published in Journal of Open Source Developments · Vol. 5, Issue 2, 2018 · pp. 5–9 Read article
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Big Data Technology: Valuable Impact of Big Data on Library and Information Science
Abstract: Abstract: With the advancement of technology Big data is an important technology with vast amount of data storing in it and used in library and information science. In recent time Big data technology is necessary requirement for storing, accessing, retrieving, processing and regenerating new data. In digital era with the help of big data to store variety, volume, velocity, veracity and valuable data. The generating data in the form of …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 26–32 Read article
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Developing Intelligent Business Solutions Using Big Data
Abstract: Different types of industries and organizations are generating a large volume of data (known as big data). Analysis of such data has the potential to provide meaningful business insights and can be used to make various business decisions. However, the extraction of meaningful information from big data is not an easy task as it comes with different types of challenges. Production of actionable information and profitable decisions from big data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 1, 2020 · pp. 12–17 Read article
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Exploring the World of Big Data: Understanding Impact and Possibilities
Abstract: Big data refers to the management and analysis of large and complex data sets that cannot be handled by traditional data processing software. It involves techniques for extracting useful information from these data sets, and involves challenges such as data storage, analysis, sharing, and privacy. The three main characteristics of big data are the large volume of data, the variety of data types, and the fast pace at which data …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 36–41 Read article
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Mineral Exploration methods Using Remote Sensing and GIS techniques: A Review
Abstract: This work provides an overview of the use of remote sensing and Geographic Information System (GIS) techniques for mineral exploration. The integration and analysis of various data types, including geological, geochemical, geophysical, and remote sensing data, using remote sensing and GIS tools allow for the creation of comprehensive maps and models of mineral deposits. The advantages of remote sensing and GIS in mineral exploration include more effective targeting of exploration …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 31–38 Read article
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Effective Way to Handling Big Data Problems using NoSQL Database (MongoDB)
Abstract: NoSQL Solutions are basically meant to solve a big data problem that relational databases are either not well suited for, too expensive to use or require you to implement something that breaks the relational nature of your DB anyways. In this research paper, we are discussing about reasons for fall other database, introduction to NoSQL database, types, examples, benefits, advantages, challenges of NoSQL and when use what types of NoSQL. …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 42–48 Read article
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Object and Classes
Abstract: TThis paper is present the most essential type or features of ‘C++’ is ‘class’. The idea of using this user defined data type i.e., class, is all about coming by structure used in ‘c’. In which the way of creating and an implement features. An ‘Object’ is defined two things i.e., ‘Fields’ and ‘Method’. Field referred data members, characteristics and method refer the action associated with a particular object. Let …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 5, Issue 3, 2015 · pp. 22–24 Read article
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Social Media Blog Analysis using Watson Analytics
Abstract: AbstractAnalytics is defined as the discovery, interpretation, and communication of meaningful patterns in data. A blog is a discussion or informational website published on the world wide web consisting of discrete, often informal diary-style text entries and may contain unstructured or semi-structured data. The analysis of unstructured data types is current challenge, getting attention in industry. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization and information privacy. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 15–21 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Study and Develop of an Effective Interface to Upload Data into ERP System
Abstract: AbstractIn today’s fast growing world, day-to-day many applications are being introduced in the market. These new applications have several advanced features when comparing to previous versions. New releases have features like performance improvement, user interface improvement, advance data base technology, web interfaces etc. So the enterprises need to change themselves in this competitive business world for financial business growth and to gain customer satisfaction. So when an organization go for …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 3, 2018 · pp. 44–53 Read article
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Accelerating High Arithmetic Intensity Storm Surge Model using CUDA
Abstract: GPUs (Graphic Processing Units) have opened the floodgates for high-performance computing, especially for programs that involve high-level arithmetic computations. Though parallel computing capability has been around for many years, it requires large and expensive hardware resources in the form of supercomputers. Presently, GPUs are found in all computing devices due to their reasonable prices. GPUs are now being tapped for speeding up legacy codes, especially in FORTRAN that involves high …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 9–21 Read article
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The DVB-H Standard: Comparative Analysis of the Results Obtained for Various Modulation Techniques and Different Code Rates
Abstract: DVB-H happens to be the technical specification for the transmission of digital TV to mobile telephones and PDAs—handheld receivers. Published as a formal standard, DVB-H is a physical layer specification designed to facilitate the proficient delivery of IP-encapsulated data over terrestrial networks. The making of DVB-H, which is closely associated with DVB-T, also entailed modifications of some other DVB standards dealing with data broadcasting, service Information, etc. It can be …
Published in Recent Trends in Electronics Communication Systems Read article
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Assess the Complaint Handling and Service Recovery Practices in Hotels: The Case of Debark Town, Ethiopia
Abstract: This study aims to assess the complaint-handling and service recovery practices of hotels in Debark town. The service sector is an important component worldwide, encompassing transportation, communication, the hotel industry, tourism, etc. The target group for this study consisted of patrons, staff, and managers of the Simien National Park Hotel. Data were collected using a non-probability sampling technique, specifically convenience sampling for customers. The researcher selected a sample of 81 …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
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Modeling and Optimization of Continuous Gas Lift Performance in Libya Oil Field
Abstract: With a massive number of oil and gas field becoming mature, the upstream engineering is facing new challenge. How to develop , or at least steady production while keeping obtainable reserves at their existing level, As matter of fact unstable production in gas lift wells. The Key issues most operators encounter with oil fields are the effects of high water production that may lead to wells died and decrease in …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 40–48 Read article