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964 articles for “learning technology”
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Classrooms of 2020
Abstract: ABSTRACTThis work envisions the profile of future classrooms, circa 2020. The idea is to sketch the horizon for its growth by keeping in mind the current and future trends in technology vis-à-vis the objectives of learning. Future education system will be completely revamped and there will be a need to redesign our classroom in accordance with technological advancements. Technology is a powerful means to enhance our abilities, to think, to …
Published in Journal of Communication Engineering & Systems · Vol. 1, Issue 1-3, 2011 · pp. 1–19 Read article
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Role of Machine Learning and Internet of Things in Health Care System: A Review
Abstract: AbstractNowadays, integration of Machine Learning and IoT is modern technology for solving problems in healthcare industries. As IoT is entering into healthcare, the expectation of getting new facilities is also increasing, especially for the elderly. A number of protocols are affected on healthcare applications. IoT in healthcare is gaining more attention due to the advancement in the development of IoT devices. Comparative analysis of machine learning algorithms with their application …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 40–51 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Pedagogical Innovations and Student Voices: A Longitudinal Examination of Engagement in Elementary Schools
Abstract: From 2023 to 2024, this mixed-approaches longitudinal study follows students of varying ages to see how characteristics related to emotional and social development, curriculum flexibility, and innovative teaching methods affect their engagement and performance in the classroom. Educators and students are followed for one year in this study to see how educational approaches change and impact students' learning. For this study, researchers conducted a one-time survey of a sizable group …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 44–55 Read article
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Advancements in Pneumonia X-Ray Image Detection: A Review
Abstract: Pneumonia remains a primary cause of morbidness and mortality worldwide, necessitating the continuous advancement of diagnostic techniques for timely and accurate detection. Pneumonia is common, it is potentially a life-threatening infection for respiration, poses significant challenges to healthcare systems worldwide. Recently, the arrival of deep learning techniques has stirred up the field of medical imaging, offering promising avenues for enhanced pneumonia detection. In this paper, the advancements in pneumonia detection …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Synapse: Enhancing Collaborative Learning Through Adaptive Real-Time Communication for Educational Environments
Abstract: Synapse is a cutting-edge, real-time collaborative learning platform developed to overcome some of the most pressing challenges faced by current online education systems, such as limited student interaction, lack of engagement, and insufficient opportunities for real-time communication. By integrating a combination of tools such as video conferencing, instant messaging, and interactive social media-style features, Synapse promotes active participation and peer-to-peer collaboration among learners. One of the platform’s standout features is …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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Image Super-resolution Using Super-resolution Convolutional Neural Network
Abstract: Several studies have been conducted to improve low-resolution photos to a higher resolution version utilizing classic super-resolution methods such as pixel-wise interpolation. While the resolution of images has been rapidly increasing in recent years with the development of high-performance cameras, advanced image compression, and display panels, the demand to generate a high-resolution image from pre-existing low-resolution images is also increasing for rendering on high-resolution displays. Some of these methods involve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 33–39 Read article
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Algorithmic Trading Using Artificial Intelligence and Machine Learning Algorithms
Abstract: Algorithmic trading conducts trades quickly and effectively using algorithms that follow a trend and predetermined set of instructions. In addition, algorithmic trading reduces the influence of human emotions on trading, leading to increased market liquidity and more precise and accurate trading. Automated trading for day-to-day trading, depending on varied market situations, the bot will automatically trade user strategies in addition to its own algorithms, providing the best trade turnover, reducing …
Published in Current Trends in Information Technology · Vol. 13, Issue 2, 2023 · pp. 23–28 Read article
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Smart Education in the Context of Puducherry India
Abstract: This paper explores the concept of smart education and presents its conceptual framework in the context of Puducherry. It aims to enhance the understanding of smart education by analysing its fundamental components, including educational challenges, technological innovations, management strategies, policy frameworks, historical evolution, and emerging trends. The adoption of smart education has accelerated significantly in recent years, particularly during the COVID-19 pandemic, when educational institutions worldwide transitioned from traditional classroom-based …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 10–17 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Evaluating AI-Driven Adaptive Learning Models in Mathematics: A Contemporary Perspective
Abstract: Artificial Intelligence (AI) continues to transform mathematics education through data-driven personalization and adaptive learning technologies. This study investigates how AI-enabled adaptive platforms influence student performance and engagement in mathematics classrooms. Using a quantitative approach across two institutions, pre- and post-assessment results were compared between students using AI-assisted adaptive learning tools and those receiving conventional instruction. The findings reveal that AI-driven learners demonstrated significantly higher gains in conceptual understanding and engagement …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Exploring the Studies of Mathematics: Foundations, Evolution, Pedagogy and Prospects
Abstract: Mathematics, often regarded as the universal language of science and logic, has evolved through centuries as both a tool for understanding the natural world and a discipline of abstract reasoning. This study explores the multifaceted dimensions of mathematics by examining its foundations, historical evolution, pedagogical approaches, and future prospects. The foundational aspects trace back to ancient civilizations—Babylonian arithmetic, Greek geometry, and Indian and Arabic contributions to algebra— highlighting how early …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 25–31 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Fitness Fusion: Maximizing Health Through Exercise and Calorie Control
Abstract: The delicate balance between improving physical fitness and managing calorie intake has gained increasing significance as individuals aim to achieve their fitness goals while maintaining a healthy weight. This approach highlights the strategic integration of exercise, such as high-intensity interval training (HIIT), with controlled dietary practices to effectively manage weight, enhance physical performance, and support overall health. HIIT, known for its time-efficient ability to burn calories and improve cardiovascular fitness, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 113–118 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Image Processing based Wall Crack Detection
Abstract: Concrete spalls and crack detection of structures may be a labour intensive and daily task. But, it plays a crucial role in health monitoring of civil infrastructures and buildings. Automated inspection with automated models has been considered one among the simplest ways to eliminate both error and price . This paper presents an automated approach using Camera and towards a Concrete Structure Spalling and Crack database (CSSC)[A], which is far …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 27–32 Read article
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Use of Virtual Platform for Smart Learning
Abstract: Through this review work, we are going to highlight the advancement and innovations in the field of education through online learning. We are also going to tell that how students are adapted to virtual learning platform. The problems faced by them in adapting online learning platform, that how and what problems did students faced at the beginning and problems that they are facing till now from the time when the …
Published in Current Trends in Information Technology · Vol. 12, Issue 1, 2022 · pp. 11–14 Read article