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369 articles for “adaptive approach”
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Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis
Abstract: The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths. This study provides a systematic analysis of adaptive e-learning algorithms within the framework of heutagogy, an educational paradigm that emphasizes learner autonomy, self-direction, and capability development. The convergence of adaptive technologies with heutagogical principles offers new avenues for creating more …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 33–38 Read article
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A Roadmap to Digital Path: Empowering College Students in Cybersecurity
Abstract: A cybersecurity area that focuses on college students, digital citizens of our time, who play an important role in determining the future of cybersecurity. It focuses on the unique challenges college students face, from identity theft to cyber and sensitive data security. This report examines best practices and methods for building college students’ online barriers and underscores the need for digital literacy, literacy, and personal responsibility in an era of …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 30–39 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Disease X: Unveiling the Unknown Pathogen and Enhancing Global Preparedness
Abstract: “The concept of “Disease X” was introduced to drive the creation and refinement of versatile technologies such as vaccines, therapeutic drugs, and diagnostic tests, which could be swiftly adapted and utilized in response to future infectious disease outbreaks with epidemic or pandemic potential. The aim was to establish a proactive approach to emerging health threats by developing platform technologies capable of addressing a broad spectrum of potential pathogens. The COVID-19 …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 15–20 Read article
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Comparative Evaluation of the Use of LSTR with Double Antibiotic Paste Versus Zinc Oxide Eugenol as Obturating Material in Primary Teeth Pulpectomy
Abstract: The management of infected primary teeth is a vital aspect of pediatric dentistry, with the primary objective being the retention of the tooth in the oral cavity until its natural exfoliation. Preserving the health, structure, and appearance of primary teeth is essential for ensuring the correct eruption and alignment of permanent teeth. Pulpectomy has traditionally been the preferred treatment for primary teeth with irreversible pulp damage. Traditionally, Zinc Oxide Eugenol …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 1–5 Read article
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Studies of Mathematics: A Review of Research Trends, Themes and Implications
Abstract: This review examines contemporary research trends, thematic developments, and emerging implications within the field of mathematics education and mathematical studies. Drawing on a synthesis of recent scholarly literature, it explores how mathematics as both a discipline and a pedagogical practice continues to evolve in response to technological advancements, interdisciplinary applications, and changing educational paradigms. Major research trends reveal a growing emphasis on problem-based learning, mathematical modeling, and the integration of …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 19–24 Read article
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A Study on Precision Blood Propulsion in Motor-Driven Artificial Hearts
Abstract: The development of biocompatible, energy-efficient pumping mechanisms is pivotal for advancing artificial heart (AH) technology. This study explores a motor-driven centrifugal pump designed to replicate the physiological dynamics of natural ventricles while mitigating complications associated with conventional axial and pulsatile systems. The proposed system employs a brushless DC motor with closed-loop control, integrated with pressure and flow sensors to modulate rotational speed (RPM) and generate biomimetic cardiac output. The suggested …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 53–59 Read article
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Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
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SiRNA-Based Multivalent Vaccines: A Systematic Review of Potential Risks, Benefits, and Future Applications
Abstract: Background: Small interfering RNA (SiRNA) technology represents a promising innovation in vaccine development, especially for multivalent vaccines that can target multiple pathogens or antigenic variants simultaneously. siRNA-based vaccines offer a unique mechanism to induce specific immune responses, presenting an adaptable and potentially powerful tool for tackling infectious diseases and cancer. Methods: This systematic review synthesizes recent studies on siRNA multivalent vaccines, focusing on their immunogenicity, safety, and effectiveness. We reviewed …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 43–49 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Homeopathic Posology: Principles and Practice
Abstract: The cornerstone of homeopathy lies in the principle of individualized therapy, and this concept is equally significant in determining the posology of homeopathic medicines. Unlike conventional medicine, where dosage is often standardized, homeopathic posology is carefully adapted to the specific condition and overall state of the patient. The primary source of guidance for homeopathic prescribing is Hahnemann’s Organon of Medicine, a seminal work published in six successive editions, each reflecting …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 45–51 Read article
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Air Flow Analysis in Sensor-Based Aircraft Wings Design
Abstract: Airflow analysis, at its core, is an application of fluid mechanics principles to the specific study of air movement. Airflow analysis plays a crucial role in diverse fields, impacting everything from the comfort of our homes to the efficiency of jet engines. The pursuit of more efficient, safer, and more responsive aircraft wings is a constant driver of innovation in the aerospace industry. The quest for more efficient, safer, and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 29–39 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Harmonizing Philosophies: An In-Depth Exploration of Homeopathic Case Management through the Lenses of Dr. Boenninghausen, Dr. Kent, and Dr. Boger
Abstract: This article examines the distinct yet converging philosophies of three pivotal figures in homeopathy: Dr. Boenninghausen, Dr. James Tyler Kent, and Dr. Cyrus Maxwell Boger. Each of these practitioners has significantly influenced homeopathic practice through their unique approaches to case management, symptom evaluation, and remedy selection. By analyzing a case of membranous dysmenorrhea drawn from Dr. Kent's archives, we applied methodologies from each of these pioneers, revealing how their philosophical …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 6–12 Read article
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Polymer Composite Mapping: Analyzing Land Use/Land Cover Changes in Mathura District, Uttar Pradesh, India
Abstract: Polymer-based mapping approaches are utilized in this study to improve the accuracy and consistency of LULC classification. Utilizing the special qualities of polymers like their elasticity, robustness, and adaptability, we create a strong framework for mapping LULC dynamics. Over the past few years, the district of Mathura in the state of Uttar Pradesh has experienced substantial expansion and development. This study assessed the change detection and estimated the shift in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 662–667 Read article
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Career Counselling and Personality Assessment App
Abstract: From the early foundations of career counselling, the role of self-awareness in making informed career choices has been well recognized. Frank Parsons, widely regarded as the pioneer of career counselling, emphasized the necessity of understanding oneself to make wise career decisions. He proposed that this self-awareness should be systematically connected to job requirements and opportunities through logical reasoning and structured analysis. This approach aims to empower individuals to make well-informed …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 63–69 Read article
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AWPRATOR: Autonomous Waste Picking Robot and Tracking of Routes
Abstract: Traditional waste management systems, especially in urban and semi-urban areas, relies heavily on manual methods like manual collection of waste, and fossil-fuel based garbage trucks. These methods often face many challenges such as inefficient high dependency on human labor, inefficient planning of routes, health risk for sanitation workers, lack of adaptability, real-time decision making. With the increase in the number of smart cities, the need for intelligent, autonomous, and eco-friendly …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 13–21 Read article
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Intermittent Fasting: Exploring the Benefits and Risks of Intermittent Fasting for Weight Loss and Overall Health
Abstract: Perception in Intermittent Fasting: One novel approach for managing weight is intermittent fasting (IF) which is gaining more popularity in recent days. This research investigates advantages and disadvantages of IF with an emphasis on its impact on metabolic processes, cardiovascular health, cognitive abilities, and changes in hormone levels. Methods: A literature review comprising randomized clinical trials, cohort studies, and meta-analyses of peer-reviewed publications was performed. A resolution was obtained by …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 24–29 Read article