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66 articles for “Data Life-cycle”
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Thermal Analysis of Piston
Abstract: Analysis of thermal changes of piston, in an automobile an engine is heart of automobile likely in engine that actual mean to piston, who having very important role in the engine, Piston is always subjected to various loads mainly subjected to thermal and mechanical stresses. The role of piston is very clear i.e. transmit or the guide the piston rod which is connected to crankshaft while transmitting piston has to …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 9, Issue 4, 2022 Read article
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Design and Evaluation of Dynamic Testing in Object Oriented Programming Through Computational Techniques
Abstract: Software testing is one of the most labour-intensive and expensive phase of the software development life cycle. It is an important and valuable part of it. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a numerous search-based optimization techniques are available for better accuracy in testing. The aim of this paper is to …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Effectiveness of Structured Teaching Programme on Knowledge Regarding Disaster and Disaster Preparedness among School Going Children
Abstract: Introduction: A disaster is an extreme description of the functioning of a society that causeswidespread human, material, or environment losses that exceed the ability of the affectedsociety to cope using only its own resources. Incidents such as cyclones, landslides andhurricanes, by themselves are not contemplated as natural catastrophe. Rather, they becomedisasters when they adversely and seriously affect human life, livelihood and property.Disaster alertness, therefore, attempt to ready for and minimize …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 2, 2020 · pp. 44–50 Read article
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Effectiveness of Sustainable Design and Costing Practices in Construction: A Cross-Sectional Survey of Professionals’ Roles Towards Resource Conservation
Abstract: Climate change and the continuous depletion of natural resources have significant implications for the built environment. Sustainable construction has thus become topical, with measures being widely discussed on how to integrate it into proposed product design development, necessary to ensure resource conservation. This study evaluates the role of built environment design and costing professionals in sustainable construction, exploring their contributions towards resource conservation, and their effectiveness in implementing sustainable practices …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Durability of Bond Strength between Titanium and two PMMAs
Abstract: The purpose of this study was to determine the durability of the bond strength between titanium and PMMA denture base resins. Two commercial PMMA denture base resins and three bonding systems were used in the present study. A total of 224 rod shaped specimens of Grade 2 titanium alloy were divided into 16 groups of 14 each. Half of the titanium rods were treated with 50 µm alumina air abrasion …
Published in Research and Reviews: A Journal of Dentistry · Vol. 4, Issue 2, 2013 · pp. 8–14 Read article
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REALIZATION OF SUSTAINABLE CIVIL INFRASTRUCTURES THROUGH EFFECTIVE PROJECT MANAGEMENT IN A CHALLENGING ECONOMY
Abstract: Infrastructure and effective project management is a great challenge facing sustainable development of infrastructure in Third World Cities and Civil Engineers have a lot of roles to play in sustainable infrastructural development in a challenging economy. This paper examines ways of realizing sustainable infrastructures through project management and civil engineering practice. Secondary data from works of literature and notable information from engineers were utilized. Project management is very essential for …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Engineering Hydrology for Flood Control, Adequate Water Resources and Sustainable Environment in Nigeria
Abstract: Life is dependent upon water, and the knowledge of hydrology must be deployed to tackle issues related to floods, water scarcity, and environmental and climate change. This article examines engineering interventions through hydrology for flood control, adequate water resources, and a sustainable environment in Nigeria. The methodology adopted includes a literature review, survey-based studies, and systematic sampling with basic random sampling. Findings revealed that excess precipitation has serious negative effects …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article
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Liver Patient Analysis Using Machine Learning
Abstract: Liver, a critical inside organ of the human body whose chief errands are to take out created squander delivered by our life form, digest food, and safeguard nutrients and energy materials. The liver problem can cause different deadly infections, including liver malignant growth. Early conclusion, and treating the patients are necessary to diminish the gamble of those deadly sicknesses. As the finding of liver illness is costly and refined, various …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 29–35 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modeling of Rubber Bush Mould by using DME Standard
Abstract: With increasingly short life span of consumer electronic products such as mobile phones, computers, and bags; they are becoming more fashionable and requires continuous improvement. Injection molding remains the most popular method for producing the associated plastic parts in minimum time. In injection process, a molten polymer is injected into a cavity inside a mold with the help of injection machine which is cooled and the part gets ejected. There …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 1–7 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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A Comprehensive Review of Road Infrastructure Safety Measures for Reducing Traffic Accidents and Improving Sustainable Transportation
Abstract: Road traffic accidents continue to be a major public health and transportation challenge, causing significant loss of life, injuries, and economic damage worldwide. Road infrastructure is one of the most critical factors influencing traffic safety, as well-designed and properly maintained roads can substantially reduce the frequency and severity of accidents. This review paper examines the role of road infrastructure in improving road safety by analyzing existing research on highway geometric …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
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A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories
Abstract: Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities. This paper describes the design and implementation of a real-time system on efficient allocation of resources when it comes to laundry in a university dormitory. The system also seeks to counter the challenges that are prevalent among students such as long …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Xenopsylla cheopis and Plague: Biology, Transmission, and Control
Abstract: Xenopsylla cheopis, the oriental rat flea, remains the most important vector of Yersinia pestis in classical rodent–flea–human plague cycles. Its biology is tightly adapted to commensal rats, especially Rattus rattus and Rattus norvegicus, whose nests provide microhabitats that support all pre adult stages and favour persistent flea populations near humans. The flea’s holometabolous life cycle, including the capacity for prolonged pupal quiescence and opportunistic host-seeking by adults, underpins its ability …
Published in International Journal of Insects · Vol. 3, Issue 2, 2026 Read article