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363 articles for “Data reduction”
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Climate Change and Soil Degradation: Its Economic Impact on Cassava Production in Ondo State: A Case Study of Akoko North West Local Government
Abstract: AbstractThis paper, presents an empirical analysis of climate change and soil degradation, its economic impact on cassava product in Ondo State with special reference to Akoko North West local government area. Data used for this study is from primary source. The data consists of 300 respondents selected from ten towns/villages in the study area using purposive sampling technique; only 280 cases were useful. Structured interview guide were used to collect …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 1–5 Read article
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Study on Cloud Computing’s Deployment Models
Abstract: Cloud computing represents a significant technological advancement in the information technology industry. It is one of the fastest-growing technologies, where computing resources are managed and allocated across the globe via the internet. Today, cloud computing is a key topic in many computer science curricula due to its extensive impact on various computing domains, particularly big data, which would be impossible without cloud computing. Cloud computing is an internet-based technology that …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 26–33 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Dynamic Vibration and Damping Analysis of Sustainable Nano-Reinforced Polymer Composite Elements for Vehicle Suspension Applications
Abstract: This paper presents an analytical investigation into the dynamic vibration characteristics of nano-reinforced polymer composite elements intended for vehicle suspension applications. A single-degree-of-freedom (SDOF) quarter-car model is employed to derive fundamental expressions for natural frequency, damping ratio, logarithmic decrement, and displacement transmissibility. The primary contribution lies in establishing explicit analytical linkages between material-level viscoelastic properties specifically storage modulus and loss modulus and system-level suspension parameters including stiffness and damping coefficients. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 561–570 Read article
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Non-Linear Dynamic Analysis of High-Rise Flat Slab Structure with Various Lateral Load Resisting System: Indian Scenario
Abstract: In this technological era, the construction of high-rise flat slab structure is increasing everywhere, due to its major advantages over a conventional beam slab structure. Due to the poor performance of high-rise flat slab structure in higher seismic zones, IS 1893 (Part 1): 2016 discourages the use of flat slab structure in higher seismic zones. The use of high-rise flat slab structure in high seismic region is a risk, because …
Published in Journal of Structural Engineering and Management · Vol. 9, Issue 2, 2022 · pp. 1–12 Read article
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Intelligent Techniques for Smart Transportation System
Abstract: Road accident is the most unpleasant thing happen to road users. The drivers drive under tension on roads, and as a result they mostly lost the control of the vehicle especially during night and becomes the victim of road accidents. So Intelligent Transportation system is for providing safe driving, which will assist the driver to use an automobile in a safe way without getting into a crash situation. The majority …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 27–33 Read article
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Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 1–8 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Effect of Participatory Eye Care by Amelioration in Reducing Digital Eye Strain Among Computer Users in GNSU
Abstract: The prevalence of ocular complaints has grown along with the use of electronic devices in the twenty-first century of digital communication. Regular practice of eye exercise like integrated eye-neck exercises are found to be useful in relieving the eye discomfort and also improving the visual acuity. This study is to assess the effect of participatory eye care by amelioration in reducing digital eye strain among computer users in Gopal Narayan …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 39–57 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Accounting and Finance with Robotic Process Automation (RPA)
Abstract: This study explores the potential of robotic process automation (RPA) to transform finance and accounting (F&A) operations. RPA involves utilizing software robots to mimic human interactions with applications, specifically targeting rule-based and repetitive tasks across various financial processes. Key findings: Boosted productivity and efficiency: RPA may result in considerable efficiency improvements by streamlining repetitive operations and freeing up F&A employees to concentrate on more strategic, higher-value work. Enhanced accuracy and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 38–42 Read article
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Impact on Mobility and Mortality in Minimally Invasive Surgeries
Abstract: Minimally invasive surgery (MIS) presents numerous advantages such as fewer complications, shorter hospital admissions, and reduced patient discomfort. This surgical method has progressed significantly, with laparoscopy being one of its earliest applications. Laparoscopy involves the insertion of miniature cameras and instruments through small incisions. Robotic-assisted surgery, another form of MIS, enhances surgical precision and offers a three-dimensional view. With technological developments, MIS has gained widespread acceptance among both surgeons and …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 8–21 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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The Role of Digital Detox in Improving Mental Health
Abstract: This study examines digital detox—the deliberate limitation of screen exposure—and its influence on mental health. A survey of 30 participants indicated that reducing screen time by at least two hours daily resulted in a 30% improvement in sleep quality, a 25% decrease in stress levels, and a 20% enhancement in overall mood stability. Statistical analysis (p < 0.05) confirmed these results. Additionally, participants following a structured digital detox plan reported …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Exploring the Connection between Mindfulness and Alzheimer's Disease/Parkinson's Disease: A Systematic Review and Meta-Analysis.
Abstract: Alzheimer's disease and Parkinson's disease have serious effects on patients and their families, yet there are no known treatments to slow the progression of these diseases. Non-pharmacological treatments for these problems, like yoga and meditation, have begun to gain popularity. The purpose of this meta-analysis and systematic review was to examine the relationship between yoga and mindfulness meditation and Alzheimer's and Parkinson's disease, as well as their potential to help …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 2, 2023 · pp. 1–9 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article