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1911 articles for “Application time”
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Advances in Nanocellulose-Enhanced Polymers and Composites: Structure, Performance, and Applications
Abstract: The most common biopolymer is cellulose, which can be converted into nanocellulose (NC) the sustainable nanomaterial possessing the outstanding characteristic of biodegradability, renewability, low density, high aspect ratio, and excellent mechanical performance. Such distinctive features make NC a promising filler in polymer and composite systems. Recent developments in the preparation of nanocellulose using various natural and artificial sources have facilitated scalable production processes that have less energy requirements and are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1610–1623 Read article
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An Efficient Recursive Least Square (ERLS) Algorithm for Spectral Estimation with the Aid of Wavelet and Artificial Intelligence
Abstract: The spectral estimation technique is used for time frequency signal analysis, speech processing, and other signal processing applications. Some drawbacks of RLS algorithm are that it requires high computational power and the output obtained is numerically instability. So, the spectral efficiency of the signal is affected and a power error occurs in the estimator. In this paper, an efficient recursive least square (ERLS) algorithm is proposed for improving the power …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Human Following Robot Using Arduino Uno
Abstract: A human-following robot is a mobile autonomous system designed to detect, track, and follow a specific individual in real-time while navigating through dynamic environments. This feature is essential for various applications, including delivery services, healthcare assistance, personal support, and collaborative industrial operations. It enhances efficiency, safety, and user experience by enabling intelligent and responsive interactions, making it an asset in both commercial and personal environments. The robot integrates cameras, LiDAR, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 26–31 Read article
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Applications of Marshall-Olkin Generalized Family of Distributions
Abstract: In this paper, we discuss the applications of Marshall-Olkin extended distributions introduced by Marshall and Olkin A new method for adding a parameter to a family of distributions with Application to the Exponential and Weibull Families, Biometrica, 84, 641-652. We provide several applications of the Marshall-Olkin extended family of distributions in reliability theory, entropy analysis, stress-strength reliability modelling, exponentiated generalized distributions, acceptance sampling inspection plans, record values and autoregressive minification …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 22–37 Read article
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Comparative Study of Patent Applications in Patent Office, India according to their Respective Fields of Inventions
Abstract: Traditional knowledge provides valuable leads which save time and investment in research and development. But because of lack of understanding of IPR legislations among researchers of TK field, very less patents have been granted in this field. In order to promote a basic understanding of patents along with other IPR issues among the researchers of tradition knowledge and to analyze the issues in the area of research in traditional knowledge, …
Published in Journal of Production Research & Management · Vol. 7, Issue 3, 2017 · pp. 1–2 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment & Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI- powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 Read article
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Application Oriented Approach of Layered Manufacturing in Biomedical and Engineering Fields: A Review
Abstract: Layered Manufacturing Systems found their applications in Medical and engineering fields since the inception of the technology. The Rapid Prototyping (RP) technologies are being used to reduce the time for design, time for manufacture and the cost of components. Many researchers have published their works in biomedical applications like implant manufacturing, tissue engineering and in dentistry. Also the engineering fields like composite material development, modeling and design, rapid tooling, die …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 2, 2015 · pp. 39–51 Read article
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A Smart Stove System for cooking food: A study
Abstract: Traditional cooking methods often suffer from inconsistencies, safety concerns, and a lack of real- time feedback, leading to suboptimal culinary results, potential hazards, and inefficient energy consumption. This paper introduces the design and implementation of an innovative Smart Stove System engineered to address these challenges comprehensively. Leveraging Internet of Things (IoT) principles, the system integrates an array of precise sensors (e.g., temperature, flame/gas detection, weight) with a sophisticated microcontroller, smart …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Air Quality monitoring system
Abstract: Air pollution has emerged as one of the most serious environmental challenges of the modern era, posing significant threats to human health, ecological balance, and overall quality of life. Rapid industrialization, urbanization, increasing vehicular emissions, and the extensive use of fossil fuels have led to a continuous rise in air pollutant levels, especially in densely populated urban areas. Air pollution has emerged as a major environmental and public health concern …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 1–11 Read article
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Monitoring Total Petroleum Hydrocarbon Degradation with Influence of Grape Leaf Application as Nutrient Stimulant in Soil
Abstract: The application of the grape leaf in the treatment of petroleum hydrocarbon degradation in soil environment in investigated and the findings outline with respect to the performance of the bio-stimulant available nutrients associated with. The research reveals increase in TPH degradation in each bioreactor sampled with the room and sun-dried bio-stimulant application in the system with increase in the period of contact time. The rates in which the TPH decreases …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 22–31 Read article
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Surface Plasmon Resonance (SPR) Based Dual Channel Optical Waveguide for Biosensing Application
Abstract: Surface plasmon resonance (SPR) biosensor is one of the optical sensors that exploit the specific properties of electromagnetic waves. Thus, SPR biosensors can be used for real time monitoring in the field of environmental science. It is a label-free technique that is used to detect biological analytes and analyze the binding interactions between a molecule in the liquid sample and an immobilized biomolecular recognition element that is placed on the …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 2, 2016 · pp. 29–35 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Motorised Dual Side Shaping Machine with IoT Integration
Abstract: This work presents the design, fabrication and testing of a Motorised Dual Side Shaping Machine intended for small-scale workshops and educational laboratories, enhanced by an Internet of Things IoT based motor control system using the ESP32 microcontroller. The machine employs a 250 watt geared motor as the prime mover, transmitting power through a chain and sprocket mechanism to a 20 mm mild steel shaft supported on pedestal bearings (P204), where …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 26–35 Read article
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Business Intelligence and Its Challenges
Abstract: AbstractBig data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Huge amount of data produced in business can be processed to get useful information using Business intelligence (BI). Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 11–17 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article