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581 articles for “Well integrity”
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Algorithm Visualization Using CI/CD
Abstract: The visualization of algorithms demonstrates how algorithms work more efficiently. Essentially, it seeks to simplify and automate the visualization of the algorithm. Using algorithm visualizations, we have discussed how standard algorithms can be taught more effectively and efficiently with automation and further can be used as open source. Our aim is to present a way to deploy our project using CI/CD which will be a far more efficient platform. Therefore, …
Published in Journal of Computer Technology & Applications Read article
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Millet Bran: Unveiling Its Potential Health Benefits
Abstract: Millet bran, derived from various millet grains, has emerged as a potent nutritional source, rich in fiber, vitamins, minerals, antioxidants, and omega-3 and omega-6 fatty acids. Its rising popularity is driven by its gluten-free nature, nutrient density, and sustainability. This review aims to explore the potential health benefits of millet bran, focusing on its digestive health, blood sugar control, heart health, antioxidant properties, and fatty acid composition. The Millet brand …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 11–19 Read article
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Colonial Rule and Urbanization of Ejigbo
Abstract: The objective of this work is to study the urbanization of Ejigbo from 1914 to 1976 AD. A multi-disciplinary approach had been used in writing this thesis. Oral information was extensively used in cross checking written data. The rise of urban centers was an important factor of social life in colonial Nigeria. Before colonial rule, a number of urban centers existed in Nigeria, especially in the areas that make up …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Optimizing Airline Efficiency Using Big Data and Predictive Analytics
Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big data analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support highly informed decision-making and truly superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of BDA within the airline industry. …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Algorithm Visualization Using CI/CD
Abstract: The visualization of algorithms demonstrates how algorithms work more efficiently. Essentially, it seeks to simplify and automate the visualization of the algorithm. Using algorithm visualizations, we have discussed how standard algorithms can be taught more effectively and efficiently with automation and further can be used as open source. Our aim is to present a way to deploy our project using CI/CD which will be a far more efficient platform. Therefore, …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 37–42 Read article
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Potential of Particle Size Mix Ratios of Plantain Ogoni Red with Clay Soil: The Integrity of Adsorbent Performance in AGO Treatment in Fresh Water Environment
Abstract: The research is focus on monitoring the performance of various formulated adsorbent mix ratio of clay soil with some agro-based materials in treatment of contaminated water environment. The agro-based material used was Plantain Ogoni Red (POR) and fresh water environment was used for this research. The agro-based material was processed into different particle sizes of 150 𝜇m, 300 𝜇m, 600 𝜇m and 1.18 mm and the clay soil into fine …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 12–25 Read article
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Design And Analysis On Operation Of Hybrid Micro Grid Using Artificial Intelligence
Abstract: Artificial intelligence approaches may be used to make engineering problems in a manner comparable to that of the human brain. Smart grid aims include greater integration of dispersed generation, grid stability, dependable power supply, and generation and supply stability. Using Artificial Intelligence methods, the objectives are realized. For microgrid energy management, there are several issues that contribute to its difficulties, including a dearth of inertia required for system stability, unpredictability …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 16–24 Read article
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Child-oriented Care: Current Applications and Future: A Critical Review
Abstract: Child-oriented care is an evolving paradigm in paediatric healthcare, emphasizing the well-being and unique needs of paediatric patients and their families. This critical review explores the current applications of child-oriented care, including child-friendly hospital environments, the vital role of child life specialists, family-centred rounds, paediatric pain management, child-centred communication, and the integration of child life apps and virtual support systems. These strategies collectively foster a more compassionate, engaging, and effective …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 32–37 Read article
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Automatic Surface Defect Detection for Ceramic Tiles Using Digital Image Processing: A Literature Review
Abstract: The term quality is the most important factor in many industries. Whole business and the brand name are dependent upon the quality of produced goods. Defect detection is generally done manually while manufacturing may be fully automatic. Therefore, our aim is to enhance quality control by integrating various image-processing techniques, before dispatching of the final product to make no rejection rate. An automated system is expensive at the installation but …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 1–6 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience
Abstract: Landmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 28–34 Read article
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Transportation Applications of Solar Energy: Innovations and Consequences
Abstract: The transportation industry is at the forefront of sustainability issues due to its substantial reliance on fossil fuels, which raises air pollution and greenhouse gas emissions. As a result, engineers and researchers have discovered that solar energy is a practical substitute for powering a variety of transportation vehicles. This study looks at the state of solar energy applications in the transportation industry today, exploring cutting-edge technologies, practical implementation issues, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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New trends in Radio Frequency design and making things smaller
Abstract: Recent improvements in wireless communication, the Internet of Things (IoT), and 5G/6G networks have made people want small, powerful radio frequency (RF) equipment. With an emphasis on how developments in materials engineering, circuit architecture, and packaging technologies are redefining RF system integration, this article offers a thorough evaluation of current developments in RF downsizing. System-on-Chip (SoC), System-in-Package (SiP), and Antenna-in-Package (AiP) ideas, which allow tightly integrated RF front-ends with enhanced …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 28–34 Read article
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Smart Blind Stick
Abstract: In accordance to World Health Organization statics, 253 million people are currently living with vision impairment, 36 million of which are blind, and 217 million who have moderate severe vision impairment. Mostly people aged 50 and above are blind as WHO estimated that 81% of the blind population are adult peoples. Due to a variety of factors, number of visually impaired persons is anticipated to rise in the future. As …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 3, 2021 · pp. 23–46 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Use of Nano-Formulated Ayurvedic Medicines: A Bridge Between Tradition and Modern Science in South India
Abstract: The integration of nanotechnology with traditional Ayurvedic medicine represents an exciting and emerging area of healthcare innovation. By combining the age-old wisdom of Ayurveda with the precision and efficiency of modern nanotechnology, researchers are developing new ways to enhance the effectiveness of herbal treatments. Nanotechnology allows for the creation of tiny drug delivery systems that can improve how Ayurvedic medicines are absorbed and utilized in the body, potentially making them …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Use of PIC16f877/874 in Pneumatically Powered Net Gun
Abstract: It is critical to have capture crews who understand wild animal behaviour. This allows for captures without excessive chase time as well as fast and efficient processing. Animals that have been subjected to long and stressful chases before capture or that have been subjected to harassment and lengthy restraint and processing experiences are more likely to suffer health complications. Biological data will often be unusable. Animals may disperse in search …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 23–28 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article