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113 articles for “learning experiences”
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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On line capacity building for FAIMER Fellows of South Asian Region on Qualitative Research
Abstract: Background: Online discussions create an opportunity to develop critical thinking skills and self-reflection of knowledge. The FAIMER ML Web discussion is a novel approach which equip the fellows with in depth knowledge and help to acquire better teaching and learning skills. Objectives: 1. To conduct the Mentor-Learner web discussion with a view to develop capacity building on qualitative research 2. To assess the participation in online learning. Methods : The …
Published in International journal of Nursing Science Practice and Research · Vol. 4, Issue 2, 2018 · pp. 1–5 Read article
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Recent Advances in the Development and Performance Optimization of Advanced Metallic Alloys
Abstract: The continuous demand for high-performance materials in aerospace, automotive, energy, and biomedical industries has accelerated research and development in advanced metallic alloys. Metallurgy and alloy design play a crucial role in achieving superior mechanical, thermal, and chemical properties while maintaining cost efficiency and sustainability. This study presents a comprehensive overview of recent advances in metallic alloy development, focusing on novel alloying strategies, microstructural control, and performance optimization techniques. Emphasis is …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Effect of Video-assisted Education on Cervical Cancer on Learning Outcomes among Married Women in a Selected Anganwadies under Mundur PHC, Palakkad, Kerala
Abstract: Worldwide, cervical cancer is both the fourth most common cause of cancer and the cause of death from cancer in women. This study was aimed to “Evaluate the effect of video-assisted education on cervical cancer on learning outcomes among married women in selected anganwadies under Mundur PHC”. The objectives of the study were to assess the learning outcomes on cervical cancer among married women before video-assisted teaching programme, evaluate the …
Published in International Journal of Medical Surgical Nursing · Vol. 1, Issue 2, 2018 · pp. 14–23 Read article
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Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model
Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article
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Revitalization of Art and Craft at Leh (Ladakh) Jammu and Kashmir
Abstract: A craft is a branch of profession that requires some particular kind of skilled work. In historical sense, particularly as pertinent to the Medieval history and earlier, the term is usually applied towards people occupied in small-scale production of goods. The meaning of craft and its values are ever-changing with development of new techniques and methods. Craft centre is a one-stop craft destination which offers visitors a unique variety of …
Published in International Journal of Architectural Heritage · Vol. 3, Issue 1, 2020 · pp. 30–44 Read article
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A study to assess the effectiveness of teaching learning session on knowledge & practice of nursing students regarding ECG interpretation of M.I & lead placement in a selected college of Haldwani, Uttarakhand
Abstract: In nursing education lecture and demonstration is one of the most common methods of teaching learning session to deliver knowledge. It has been suggested that teaching learning methods that enhance engagement and encourage self-learning concepts leading to increased knowledge. Electrocardiography (ECG) is a widely utilized diagnostic tool in cardiology, playing a crucial role in diagnosing and managing heart-related conditions. For nursing students, acquiring knowledge and hands-on experience in ECG interpretation …
Published in International Journal of Cardiovascular Nursing · Vol. 11, Issue 1, 2025 Read article
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A Report on Object Detection and Caption Generator
Abstract: Image Caption Generator is a application that generates captions for images. The image's semantic information is recorded and transformed into plain language. The capture mechanism is a timeconsuming effort that combines picture processing and computer vision. The mechanism must be capable of detecting and establishing links between items, humans, and animals. The goal of this article is to use deep learning to detect, recognize, and generate meaningful captions for a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 13–36 Read article
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Inclusive Interiors for Neurodiverse Students
Abstract: Designing educational environments for neurodiverse students requires a comprehensive understanding of their sensory, cognitive, and emotional needs. This research explores the development of a school tailored specifically for neurodiverse learners, focusing on creating inclusive, comfortable, and effective learning spaces. The research adopts a mixed-methods approach, incorporating qualitative interviews with educators, students, and parents, and quantitative analysis of case studies from neurodiverse-friendly schools. The study also utilizes observational research to assess …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 44–59 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Review of PPP mode of Urban Transport in Indian Cities
Abstract: The fast pace of urbanization has fuelled the demand for urban mobility which successively triggered sort of projects in urban transport within the country. However, given their capital intensive nature, large scale, long gestation, multifarious stakeholders, poor investment returns and operational deficits; both implementation and financing of such projects become a challenge. Use of Public Private Partnership format in infrastructure in India is now nearly 20 years old. However, application …
Published in International Journal of Urban Design · Vol. 3, Issue 2, 2020 · pp. 1–11 Read article
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Rethinking Design Education: Climate-Responsive Practices and Active Engagement
Abstract: Climate-responsive design has become essential with the growing emphasis on sustainability, particularly in line with Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities, which calls for future architects to be equipped with both theoretical knowledge and practical skills. The increasing importance of quantitative analysis in climate-responsive design has made it crucial for architectural education to incorporate both intuitive and data-driven approaches. To prepare future architects, schools must ensure that …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 34–46 Read article
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CampusXchange: Campus Social Networking System
Abstract: The project aims to address the pressing need for an inclusive and efficient social networking platform tailored specifically for college students. The absence of a dedicated platform has led to challenges in connecting with peers, seniors, and alumni, hindering the exchange of knowledge, opportunities, and support within the college community. The lack of an integrated digital space also limits campus engagement, hinders access to valuable resources, and impedes the development …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article