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419 articles for “model selection”
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Mathematical Modelling of an Unbalanced Rotor Subjected to Transverse Vibrations
Abstract: The static and dynamic balancing of a rotor plays a very important role in deciding the life-span of any turbo-machinery which is running at a very high speed. The major problems which face during the running of turbo machineries are unbalancing of the rotor. Rotor unbalance may be due to wrong selection of the manufacturing process, method of manufacturing, wear and tear of rotating component, thermal deformations, deposition of material …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 9–16 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Machine Learning Based Smart Aquaponics Farming System
Abstract: For many years, researchers have been studying nutrient management in aquaponic systems. Most have concentrated on adequate nutrition control in an aquaponic setup, but there has been relatively little study on commercial scale applications. For plant growth, it is necessary to measure the level of nutrients present in the soil mixture. In our model, the input data was sourced on some interval of time basis from three commercial aquaponic farms. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 30–37 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Agronomic Performance, Harvest Dynamics, and Oil Yield of Lemongrass Varieties in a Semi‐Arid Ecosystem: Effects of NPK Regime and Harvest Timing
Abstract: This study investigated the agronomic performance, biomass production, and essential oil yield of three lemongrass (Cymbopogon spp.) varieties (CKP-25, Krishna & Pragati) under varying NPK fertilization regimes and harvest timings in a semi-arid ecosystem. A split-plot factorial design with four nutrient levels (Control, 50%, 100%, and 150% of the recommended NPK dose) and two harvest stages (90 and 180 days after planting, DAP) was implemented. Results revealed that both NPK …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 8–21 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Quality Dimensions of Open Access E-Journals in Library and Information Science: An Analytical Study
Abstract: The rapid growth of open access e-journals in Library and Information Science marks a significant transformation today. Open access journals provide unrestricted access to peer-reviewed research, enabling LIS professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study focuses on evaluating open access (OA) e-journals in Library and Information Science (LIS), with particular attention to their accessibility, quality, and scholarly impact. The main objectives of the …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 52–68 Read article
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An Experimental Study to Assess the Effectiveness of Valsalva Maneuver Prior to Intravenous Cannulation on Pain Perception among Patients Undergoing Venous Cannulation at HAHC Hospital in Delhi
Abstract: An experimental study was done to assess the effectiveness of valsalva maneuver prior to IV cannulation on pain perception among patients undergoing venous cannulation at HAHC hospital in Delhi. The objectives of the study were to assess the level of pain during IV cannulation among the experimental group, to assess the level of pain during IV cannulation among the control group, to compare the level of pain during IV cannulation …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 2, 2016 · pp. 1–6 Read article
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An Analysis of Open-Access E-Journals in Library and Information Science
Abstract: The growth of open-access e-journals in the field of Library and Information Science represents a transformative shift today. Open-access journals provide unrestricted access to peer-reviewed research, enabling Library and Information Science (LIS) professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study evaluates open-access (OA) e-journals in the field of LIS, assessing their accessibility, quality, and impact. Objectives: The main objectives of the study are to …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 39–56 Read article
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Designing an Educational Mentoring Model in Line with the Professional Development of Female Primary School Teachers with a Fuzzy Logic Approach
Abstract: The teacher is one of the most important elements known to have a close relationship with students and develop their various talents. If a teacher steps into the education scene with a new, creative and well-equipped attitude, he will naturally deliver capable, creative and new-thinking students to face life wisely and solve the problems of the human world. Therefore, the main goal of this research is to design an educational …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 35–50 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Thermal Performance of Flat Tube Louver Fin Heat Exchanger using Artificial Neural Network
Abstract: In this paper, an application of artificial neural networks (ANNs) is presented to predict the outlet temperatures on both fluid side of flat tube louver fin type heat exchanger used in flat tube louver fin heat exchanger. A validated numerical code is developed using MATLAB to generate huge data sets which gives outlet temperature of both the fluids. Three-layer feed-forward back propagation neural network is developed to model the thermal …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 6–12 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Evaluation of Best Watershed Management Practice for Sediment Yield Reduction (The Case Study of Baro Akobo of Upper Gilo Watershed, Ethiopia)
Abstract: This study aimed to estimate the sediment yield, evaluating its distribution, and compare the selected Best Management Practices (BMPs) and identify relatively effective management practices to alleviate soil erosion and sedimentation yield in the Upper Gillo watershed. Soil and Water Assessment Tool (SWAT) model with the interface of Geographical Information System (GIS) were used to simulate, streamflow and sediment yield. Meteorological, hydrological and spatial data were used while modeling the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–17 Read article
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Groundwater Darcy Velocity from underground Temperature: A Focus on the City of Turin (NW Italy)
Abstract: We report on an application of a methodology for inferring water transfer in a shallow aquifer by using analytical models of interpretation of heat transport by advection and conduction in permeable horizons. In this research, we highlight as the statistical interpretation of thermal data is a tool to obtain a quantitative estimation of the horizontal component of the Darcy velocity in a shallow aquifer. This study is based on the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 19–29 Read article
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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A Study to Evaluate the Impact of Nurse-led Intervention on Competency Level Regarding Care of Patients on Mechanical Ventilators Among ICU Nurses Working in Selected ICUs at Pt. Bd Sharma PGIMS Rohtak
Abstract: Introduction: The nurse caring for mechanically ventilated patients must be skilled and possess a deep understanding, along with specialized knowledge, of mechanical ventilators (MV). This study is intended to evaluate the impact of nurse-led intervention on competency levels regarding the care of patients on MV among ICU nurses. Objective: To assess the pre- and post-test knowledge, practices, and attitudes of ICU nurses, evaluate the effectiveness of nurse-led interventions on the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 59–94 Read article
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A Comparative Study on Nutritional Assessment and the Health of Toddlers (1–3 year) in Urban and Rural community of Ludhiana, Punjab, India.
Abstract: Toddlerhood is difficult exiting interesting period of life. Developmental milestones are a set of functional skills or age-specific tasks that most children can do at a certain age range. The study sample was 500 toddlers aged 1–3 year was selected, 250 from urban and 250 from almost equal number of male and female toddlers. A modified conceptual frame work of the study was based on the Callista Roy Adaptation Model. …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 2, 2018 · pp. 6–15 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article