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80 articles for “data science”
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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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A New Architectural Model Shift Beyond the Cloud in Python Using PS
Abstract: Nowadays, data science initiatives are typically generated in an unstructured manner, making replication difficult. Transitioning from an experimental to a production environment is also difficult. Data scientists may transfer a pipeline from a local environment to the cloud using operational techniques like containerization, continuous deployment, and cloud orchestration. Recognizing the difficulties associated with establishing those procedures, this study proposes a framework for easier experiment monitoring and machine learning operationalization by …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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“The Shaping of Spaces: A Journey through Furniture Design History”
Abstract: This research article examines the fascinating journey of the evolution of furniture design from the 1950s to the present, focusing on its impact on interior design. This study provides a comprehensive overview of the major changes in design concepts, materials and technology that led to the furniture industry's goal. Starting with the creative and artistic symbols of the Mid-Century Modern movement, this article explores later periods marked by experimentation, postmodernism, …
Published in International Journal of Housing and Human Settlement Planning · Vol. 9, Issue 2, 2023 · pp. 40–50 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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SOFT COMPUTING A NEW USE OF SOFT COMPUTING, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC & GENETIC ALGO-RITHM IN BIOINFORMATICS
Abstract: Abstract:Soft registering is make a few dormant in bioinformatics, particularly by producing minimal effort, low exactness (rough), great arrangements. Bioinformatics is an interdisciplinary research zone that is the edge between the natural and computational sciences. Bioinformatics settlement with calculations, databases and data frameworks, web innovations, man-made reasoning and delicate registering, data and calculation hypothesis, basic science, programming building, information mining, picture preparing, demonstrating and recreation, discrete arithmetic, control and framework …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 12–26 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Students' and Faculty Members' Attitudes Toward Science at Urban and Rural Colleges and Universities
Abstract: Identifying and cultivating a favourable attitude toward science among student instructors is critical. Instructors, student teachers, and students at all levels of education should be encouraged to have a positive attitude toward science. Currently, this is an urgent need. This study examines the attitudes of student instructors toward science in relation to their college's location. Students in Hyderabad's Revenue district are included in the study's sample of 1080. Data was …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 38–42 Read article
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Exploring Thermodynamic Heterocyclic Compounds: A Comprehensive Analysis
Abstract: Heterocyclic compounds constitute a significant class of organic molecules with diverse applications in various fields including pharmaceuticals, materials science, and agrochemicals. Understanding their thermodynamic properties is crucial for elucidating their behavior in different environments and optimizing their applications. This comprehensive analysis delves into the thermodynamic aspects of heterocyclic compounds, encompassing their synthesis, structural characteristics, and energetics. The review begins by outlining the fundamental principles governing the thermodynamics of heterocyclic compounds, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 1, 2023 · pp. 40–46 Read article
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Barriers to Voluntary HIV Counselling and Testing among undergraduate students of the Faculty of Health Sciences and Technology, University of Nigeria Enugu Campus- Enugu State, Nigeria
Abstract: Background: Despite the increase in the level of awareness and usefulness of HIV counselling, Voluntary Counselling and Testing (VCT) & its utilization remains low most especially among vulnerable groups such as university students.Method: A descriptive survey was utilized for the study. A structured questionnaire was used to collect data from undergraduate students of the faculty of health sciences and technology.Descriptive and inferential statistical methods were used for data analysis.Result: The …
Published in International Journal of Nursing Critical Care · Vol. 6, Issue 2, 2020 · pp. 7–18 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Molecular Study of Indian Herbals at Microwave Region Using Time-domain Spectroscopy
Abstract: The dielectric properties of liquids are useful to some extent to understand the liquid structure and molecular interactions therein. The study of dielectric properties of liquid materials is necessary not only to understand the liquid structure but also to provide technical data for practical uses in industry, science, medicine, and engineering. Time-domain spectroscopy (TDS), a spectroscopicmethod used in physics uses brief terahertz radiation pulses to examine the characteristics of matter. …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 1, 2022 · pp. 23–28 Read article
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Advanced Nanotechnology: A Bibliometric Analysis of Environmental Solutions
Abstract: Advanced nanotechnology has emerged as a revolutionary discipline with considerable capacity to address urgent environmental issues. This report provides a thorough bibliometric analysis of worldwide research trends that connect advanced nanotechnology with environmental solutions. We looked at articles from key scientific databases, including Scopus and Web of Science, to find growth patterns, top countries, significant institutions, collaborative networks, and new thematic areas. The results show that scholastic production has grown …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 · pp. 9–19 Read article
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Evaluation of the Effectiveness of a Structured Teaching Program on Mothers’ Knowledge Regarding the Prevention of Dengue Fever in Children: A Study in Pediatric Medical Wards at Shridevi Institute of Medical Sciences and Research Hospital
Abstract: Background and objectives: Dengue, commonly referred to as break-bone fever, is a viral infection spread to humans by mosquitoes, especially in tropical and subtropical areas. Although many people infected with dengue may show no symptoms, those who do typically exhibit symptoms such as high fever, headaches, body aches, nausea, and a rash. In most cases, individuals recover within 1–2 weeks. However, severe cases may necessitate hospital care. Home treatment is …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 1, 2024 · pp. 54–63 Read article