Search
1991 articles for “Data applications” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Unstructured Data Analysis with the Use of Cognitive Capabilities of Watson Analytics
Abstract: AbstractIntellectual science concentrates on how individuals investigate for data when connecting with the web. The exploratory hunt refines search exercises and updates the inward portrayals of the inquiry issues. Exploratory data recovery frequently includes badly characterized search objectives and advancing criteria for assessment of pertinence. The associations amongst people and the data framework include more intellectual movement, and frameworks that bolster exploratory pursuit along these lines, need to consider the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
-
Stock Market Analysis Using Data Science
Abstract: Stock market prediction using data science has become a popular area of research and application in recent years. This is because the stock market is a complex system with many variables and factors that affect its behavior, making it difficult to predict with certainty. The stock market has always been the aggression of buyers and sellers of stocks, therefore in the global finance market, stock trading is one of the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 1–4 Read article
-
IoT Development Sensor Board Based on RISC-V Architecture
Abstract: This flexibility is critical for maximizing power and performance, which are critical elements in IoT applications with limited resources. A wide range of sensors, including as motion, ambient light, temperature, and humidity sensors, are integrated into the IoT sensor board. The board can record and analyze real-time data thanks to these sensors, which opens up a world of possibilities for applications ranging from industrial automation to environmental monitoring. In conclusion, …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 12–17 Read article
-
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
-
Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
-
Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
-
Automatic Meter Reading System and Payment through Android Application
Abstract: An automatic meter reading system is a digital meter that measures the consumption of electrical energy and provides other additional information as compared to the traditional energy meter. This paper presents the development of a GSM based meter, which reduces the human effort in taking the readings and calculation of bill. This automatic meter reading system will take the reading automatically and these readings are sent to KSEB database through …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 2, 2016 · pp. 11–14 Read article
-
Effect of Radiation Dose, Dose Rate and Annealing Temperature on Edible Potato Starch by Spectroscopic Methods
Abstract: Potato starch (PS) is a favorite food choice in different forms. During its storage and applications the PS is exposed to different radiations. In the present study the authors attempt to compare radiation effects (gamma and Electron beam of same radiation dose) in PS by Electron spin resonance (ESR) and Fourier transform infrared (FTIR) methods. ESR spectra of gamma irradiated PS appeared to have resolved shapes than the electron beam …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 198–209 Read article
-
Extending the Mind Share Model by Measuring Media Share of Voice
Abstract: In this study, the author extends Mind Share model construction to use media Share of Voice to measure Mind Share of customer in a particular brand. The logit regression is used to find the impact factors which can predict the media Share of Voice. The empirical data is obtained from the Google search engine, and the cumulative volume of keyword searches is used to make model application. The volume of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 1, 2022 · pp. 18–22 Read article
-
Age Invariant Face Recognition Techniques: A Review
Abstract: AbstractFace acknowledgment is utilized in numerous applications, for example, in ATM, social insurance framework, driving permit framework, railroad reservation, observation activity, finding missing kids, recognizing hoodlums, and visa validation and so on. This is likewise utilized for opening gadgets, for example, cell phones, workstations, entryways and numerous others. It is one of primary biometric identifier utilized in biometric frameworks. Anyway the presence of one individual may fundamentally change with age …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 8–13 Read article
-
Enhancing Online Security: Machine Learning Methods for Phishing Detection—Literature Survey
Abstract: Phishing attacks represent a substantial online security threat as they mimic authentic websites to trick users into disclosing sensitive information. Detecting these malicious websites is crucial for safeguarding user data and maintaining digital trust. This summary provides insight into the application of machine learning methods in the identification of phishing websites. Machine learning, which falls under the umbrella of artificial intelligence, has proven to be a robust instrument for automating …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 29–34 Read article
-
AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
-
Multifunctional Resume Analyzer
Abstract: Agencies and numerous high-level organizations get agitated by an outsized range of awards, jobs or higher studies-seeking folks with numerous resumes. The challenge is of managing large volumes of textual data and selecting the most suitable candidate from a pool of applicants. It suggests that the process of choosing the best-fit candidate is difficult due to the vast amounts of information that must be processed. This project provides a wide …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 37–41 Read article
-
Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
-
The Coupling of Blockchain and Supply Chain
Abstract: In today's industrial landscape, supply chain management (SCM) is pivotal in ensuring the smooth supply of products from the manufacturing house to the seller shop. However, digitizing SCM processes has brought new challenges, particularly in data security and trustability. Blockchain, a decentralized peer-to-peer network, offers enhanced security and privacy through its distributed ledger technology. By incorporating blockchain into SCM, businesses can ensure the integrity of their data, mitigate risks such …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
-
Facial Expression Recognition using Convolutional Neural Network
Abstract: Machine learning is a subset of Artificial intelligence. Machine learning enables self-learning from past data and predicts the future. Machine learning is used in many applications such as self-driving cars, Google translate etc. Deep learning is a subset of machine learning. CNN is a convolutional neural network. The CNN approach is very effective in image classification. The target of this exploration is to assist a look acknowledgment framework dependent on …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
-
Perspectives of Cloud Computing Management: An Overview
Abstract: AbstractCloud computing is not limited to reduce the capital expenditure but also used to perform trillions of computations per second in consumer-oriented applications such as financial portfolios to deliver personalized information, to provide data storage or immersive computer games. The purpose of the paper is to provide an overall management perspective of cloud computing with the aim to highlight the management that should be properly addressed and managed to realize …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 72–82 Read article
-
Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · pp. 28–34 Read article
-
Complications with Malware Identification in IoT and an Overview of Artificial Immune Approaches
Abstract: An immunity is facilitated by lymphocyte T&B-cells that possess a wide range of T&B-cell receptors, respectively. These cells can identify and react to pathogens and diseased cells by presenting peptide antigens by means of significant histocompatibility complexes (MHCs). The amount of data on the repertoire of adaptive immune receptors has increased dramatically in recent years because to advancements in deep sequencing. Furthermore, the presentation of peptides with MHC has been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 54–62 Read article
-
Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future
Abstract: As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes. We begin by examining current …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 17–31 Read article