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101 articles for “Data Analytics”
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The Impact of CAM on Digital Twin Technology inManufacturing Systems
Abstract: The integration of Computer-Aided Manufacturing (CAM) and Digital Twin technology is revolutionizing the manufacturing landscape by bringing together the strengths of process automation, real-time monitoring, and predictive analytics. CAM, which has long been used to optimize machining processes, automate toolpath generation, and control production workflows, plays a vital role in improving manufacturing efficiency and precision. On the other hand, Digital Twin technology, which creates a virtual replica of physical systems, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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MULTI-PROJECT SCHEDULING OF CONSTRUCTION PROJECTS WITH CONSTRAINED RESOURCES
Abstract: A company's portfolio in the construction industry includes a variety of projects, many of which are being executed at the same time. In such situations the performance of one project may have a positive or negative impact on the other. This research paper is an attempt to identify the challenges faced in a multi-project environment to propose multi-project scheduling approach, for the purpose of which a systematic review of the …
Published in International Journal of Sustainable Building Technology · Vol. 5, Issue 2, 2022 · pp. 18–28 Read article
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An Analytical Approach to Calculate the One-Dimensional Drift Velocity in Bubble Columns
Abstract: The design and scale-up of a bubble column reactor require a complete understanding of its complex hydrodynamics, which is influenced by the physical properties of the phases, the operating variables, and the design parameters. Current design procedures for bubble columns involve several steps of pilot-plant experimentation, which is expensive and time-consuming. One of the critical unknown parameters involved in designing any gas-liquid system is the gas holdup. The gas holdup …
Published in International Journal of Chemical Engineering and Processing · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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A Comprehensive Review of IoT-Enabled RC Boats for Real-Time Water Pollution Monitoring
Abstract: For all people today, drinking water is the most significant and precious resource. Real-time operations present new difficulties for drinking water utilities. Due to factors including dwindling water supplies, population growth, deteriorating infrastructure, etc., this problem developed. Better methods of checking the quality of the water are therefore required. The traditional approach to measuring water quality entails manually collecting water samples at various sites, followed by laboratory analytical procedures to …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 20–27 Read article
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Distribution Parameter Concentration of Alkalinity and Total hardness in Stagnant Water Environment: The Concepts of Oil and Gas Emission Influence
Abstract: Model for predicting the distribution parameter concentration of alkalinity and total hardness in stagnant water environment upon the influence of oil and gasemission was investigated in this paper. The model was formulated from the basic principle of mass and momentum concept which was resolved to obtain an ordinary differential equation. A mathematical tool known as the least square method was applied to resolve the differential equation to obtain quadratic equation …
Published in International Journal of Chemical Separation Technology · Vol. 6, Issue 1, 2020 · pp. 14–22 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Industrial Effluent Pollution and Sustainable Treatment Strategies: An Analytical Approach
Abstract: Industrialization has significantly propelled economic development across the globe, but it has also led to the generation of vast quantities of hazardous effluents that pose serious threats to the environment and public health. Industrial effluents, depending on their origin, often contain high levels of chemical oxygen demand (COD), biological oxygen demand (BOD), total dissolved solids (TDS), toxic heavy metals, dyes, solvents, pharmaceutical residues, and other harmful substances. This research paper …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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A parametric study for the behaviour of steel plate-anchor assembly embedded in concrete under cyclic loading
Abstract: Steel plate-anchor assembly embedded in concrete is a common type of connection system used for connecting structural steel members to concrete members. These assemblies are subjected to different loading cases depending on their use. Since the behaviour of such assemblies is quite complex and depends on a number of factors associated with different components, it was decided to adopt finite-element technique to obtain a reasonably accurate analytical solution for the …
Published in International Journal of Concrete Technology · Vol. 4, Issue 2, 2018 · pp. 21–36 Read article
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Quality of Open Space: A Comparative Analysis Using Space Matrix
Abstract: The understanding of how various open spaces around us operate and still remain unseen in the larger context of culture was the key factor to approach this topic. It is an insight into the quality of open spaces through a significant recognition of the definite elements that affect them. This paper aims at studying the open spaces within various building typologies through an analytical point of view as to how …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 4, Issue 2, 2018 · pp. 13–25 Read article
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Analytical Development of Electrochemical Biosensors for Real-Time Monitoring of Environmental Contaminants
Abstract: The increasing awareness of environmental pollution has necessitated the development of efficient monitoring systems for the detection and quantification of contaminants. Electrochemical biosensors have emerged as powerful tools due to their high sensitivity, rapid response, and cost-effectiveness. This paper reviews recent advancements in the development of electrochemical biosensors specifically designed for real-time monitoring of environmental contaminants. The design and fabrication of electrochemical biosensors involve the integration of biological recognition elements …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
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Knowledge and Practice Regarding Physical Activity among Students of University College of Nursing and Guru Gobind Singh Medical College, Faridkot, Punjab
Abstract: Introduction: Physical activity is defined as any bodily movement produced by skeletal muscles that require energy expenditure. Physical activity includes exercise and incidental activity integrated into daily activities. These incidental activities may include activities such as walking the local shop, cleaning, working, etc. People who are physically active are healthier and less likely to develop many chronic diseases compared to the inactive ones. Aim: To assess the knowledge and practice …
Published in International Journal of Medical Surgical Nursing · Vol. 3, Issue 2, 2020 · pp. 11–15 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Oral Hygiene Knowledge, Attitude, and Practice of Junior High School Students in Harar, Ethiopia
Abstract: Introduction: Oral health refers to a condition where an individual is not experiencing chronic pain in the mouth and face, is not afflicted by conditions like oral and throat cancer, oral infections, sores, periodontal disease, tooth decay, or tooth loss, and is not suffering from other diseases and disorders that hinder their ability to bite, chew, smile, speak, and impact their overall psychological and social well-being. Methods and materials: From …
Published in International Journal of Pediatric Nursing · Vol. 9, Issue 2, 2023 · pp. 24–31 Read article
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Identification and Analysis of Characteristic Required by Women Entrepreneur
Abstract: Abstract Entrepreneurs in the country play a vital role in the overall development of the country. This project basically focuses on the study of several characteristics required for women to become entrepreneurs. This project is mainly executed in many steps the first one involved selection criteria for the women entrepreneurs. Second one was personal visit to for knowing their personal details of an entrepreneur. The questionnaire we prepared covered four …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 27–39 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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IoT-Based Battery Management System for Electric Vehicles
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Improving Prestressed Concrete Box Girders Using Polymer Composites: Experimental Findings and Analysis
Abstract: Prestressed concrete box girder bridges exhibit complex structural behavior due to various loading scenarios. Extensive studies, both experimental and numerical, have helped advance their use in engineering. The spatial stress in prestressed concrete box girder bridges, especially during construction and service phases, has been analyzed using shell cells, which provide more accurate tensile stress data than beam cells. The deck with the numerous hat section was evaluated in the current …
Published in International Journal of Polymer Science and Engineering · Vol. 10, Issue 2, 2024 · pp. 6–11 Read article
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Articulating Precarious Waters: A Critical Review of Pharmaceutical Contaminants, Their Pathways, and Ecological–Health Risks in the Aquatic Systems of Bihar, India
Abstract: The article examines the emerging yet under-documented issue of pharmaceutical contaminants in Bihar’s aquatic environment, focusing on their types, occurrence, sources, and implications for ecology and human health. Pharmaceuticals and personal care products-including antibiotics, non-steroidal anti-inflammatory drugs, analgesics, beta‑blockers, and hormones – are conceptualized as pseudo-persistent pollutants because continuous inputs from households, healthcare facilities, and diffuse anthropogenic activities sustain their presence in surface water and groundwater despite individual compounds having …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 28–51 Read article