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101 articles for “Data Analytics”
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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IoT-Driven Crane Management: Enhancing Efficiency Through Broadband Connectivity
Abstract: To address the challenges of scrap management and detect discrepancies in scrap loading and unloading, the system should include the following features: Operator Login: Implement a secure login system for operators to monitor individual performance and activity. Dashboard: Provide a dashboard for real-time monitoring of both operator performance and overall process efficiency. Data Collection: Gather data using existing weight sensors and the installed module. Separate Console and Server: Set up …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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A Study on Effective Management and Financial Reporting Examines how Artificial Intelligence (AI) Affects Business Subfields
Abstract: This study examines how artificial intelligence (AI) transforms many business domains, including strategy, operations, finance, and marketing, and evaluates how it affects corporate expansion. The main goal is to uncover the mediating functions of excellent financial reporting and effective business management following AI integration. The research highlights artificial intelligence's dominance in commercial decision-making, crediting it to its ability to handle historical data, manage uncertainty, and provide probabilistic forecasts. In particular, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 35–33 Read article
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BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRINGEVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryo but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species.Methods: Over the past decade, the incorporation …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 Read article
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BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRING EVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryos but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species. Methods: Over the past decade, the …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Towards a Geotechnical Input-Based Conceptual Cost Estimating Methodology for Highway Projects
Abstract: The trend in the literature reveals a wide range of innovative approaches which have been proposed to improve the accuracy of conceptual estimates. These techniques are usually based on differing analytical approaches. Although these techniques obtain estimates that closely approximate actual costs, the requisite time and resources to gather sufficient data or obtain relevant information during initial project stages may not be possible. The study proposes that for a road …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 8, Issue 2, 2022 · pp. 28–37 Read article
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A Computer Program for Small Signal HEMT or GaAsFET Model in Fiber Optic Receiver Circuit
Abstract: A fully automated program to determine the GaAsFET/HEMT small signal models for use in optical communication front end amplifier circuit is given. The program requires only initial values of parameters which are commonly available in literature determined by experimental procedures and two port analysis theory using analytical formulae. The program was tested by giving starting values within minimum and maximum ranges of parameters obtained by available manufacturer’s data and theoretical …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 1–22 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article
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BEHAVIORAL STUDY OF REINFORCED CONCRETE BUILDINGS DURING MAINSHOCK–AFTERSHOCK EARTHQUAKES
Abstract: ABSTRACT - Earthquakes are among most destructive natural hazards, often causing widespread damage to buildings and vital infrastructure. The extent of this damage depends on various factors, one of which is the nature of fault movement. The point of initial rupture beneath the Earth’s surface is known as the hypocenter or focus. Seismic activity can be broadly divided into two categories: mainshocks and aftershocks. While the mainshock generally causes the …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 6–14 Read article
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Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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GIS-Based Assessment of Flash Flood Hazard and Community Resilience in the Melamchi River Basin, Nepal
Abstract: Abstract: Flash floods are one of the most destructive natural hazards in mountainous regions due to their its rapid onset, high velocities, and short warning time. Erratic rainfall, cloudbursts, landslide, and climate-induced hydrological variability are the prime factors to trigger flash floods in the Himalayan region. The Melamchi River Basin in central Nepal has witness recurrent flash flood events, most notably the catastrophic 2021 flood. An Integrated hazard assessment and …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 1, 2026 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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Fintech Innovations and Their Impact on Global Markets
Abstract: Financial technology (fintech) is revolutionizing the global financial sector by improving efficiency, inclusivity, and transparency. By integrating technology with financial services, fintech innovations, such as blockchain, artificial intelligence (AI), digital wallets, and peer-to-peer lending are challenging conventional systems. These advancements not only increase the accessibility of financial services for underserved communities but also provide unmatched convenience to consumers and businesses globally. Blockchain, one of the most significant innovations, has transformed …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Revolutionizing Healthcare: Cutting-Edge Biosensors Paving the Way for 21st Century Point-of-Care Diagnostics
Abstract: Point-of-care (POC) diagnostics stand as a transformative paradigm in healthcare, promising rapid testing directly at patient care sites. Biosensors, amalgamating biological recognition elements with physico-chemical transducers, emerge as pivotal tools in crafting rapid and sensitive POC diagnostic devices. Recent strides in nanotechnology, microfluidics, and flexible electronics have engendered a wave of innovative biosensor designs and detection methodologies. This paper provides an extensive review of the latest advancements in biosensors tailored …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 9, Issue 2, 2023 · pp. 12–19 Read article
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A Comprehensive Combustion Kinetics Modeling Study of Iso-Octane and Air Mixtures
Abstract: The oxidative behavior of the iso-octane (2,2,4-trimethylpentane) has been studied in a range of experimental facilities in order to investigate the relatively unexplored combustion chemistry of the title species and to provide combustor relevant experimental data. The ignition of iso-octane/air and iso-octane/O2 mixtures was studied at temperatures of 600–1300 K, pressures of 1–50 atm, and equivalence ratio 0.5 to 2. This study has been conducted analytically using a kinetic scheme …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 4, Issue 2, 2018 · pp. 30–38 Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Program Regarding Uterine Cancer Among College Girl of Age Group Between 18 and 21 years in Selected Government College of Hisar (Haryana)
Abstract: The study on ‘A study to assess the effectiveness of video-assisted teaching program regarding uterine cancer among the college girl of age group between 18 and 21 years in the selected government college of Hisar, Haryana’ was undertaken during the year 2019-2020. Objectives of the study are: 1. To assess the level of pre-test knowledge regarding uterine cancer among college girl of 19–21 years in the selected government college. 2. …
Published in International Journal of Medical Surgical Nursing · Vol. 4, Issue 2, 2021 · pp. 43–47 Read article
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Synthesis, Spectral Study, SEM Analysis and Antibacterial Study of New Indole Azo Ligand and Complexes
Abstract: Azo ligands have developed significantly in recent decades due to their fundamental role in the coordination chemistry of transition elements. Their rapid response to coordination bonding in ligand and complex chemistry, particularly with divalent ions, is a key factor. The azo-bridged bond has played a well-established role in the formation of cobalt, nickel, and copper complexes. In this study, we prepared a novel ligand, an indole derivative bonded to an …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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The Role of Artificial Intelligence in ICU Patient Monitoring and Predictive Analytics: A Prospective Cohort Study
Abstract: Background: Intensive Care Units (ICUs) face challenges in effectively monitoring critically ill patients. Traditional monitoring methods may not detect subtle signs of deterioration in time, leading to worsened outcomes. Artificial Intelligence (AI)-driven monitoring systems have emerged as a potential solution, promising improved predictive capabilities and patient outcomes. Objective: This study aimed to evaluate the impact of AI-based monitoring systems on ICU patient outcomes, focusing on mortality rates, length of ICU …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article