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1037 articles for “DEE”
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Beyond Taste: The Impact of Sensory Design on Dining Interiors
Abstract: Dining experiences are increasingly recognized as multisensory events where the atmosphere of the environment significantly influences the overall perception of the meal. This study explores the impact of sensory design, encompassing visual, auditory, olfactory, tactile, and gustatory elements, on dining interiors. By examining the roles of color, lighting, acoustics, textures, and spatial arrangements, this study investigates how these factors contribute to customer satisfaction, behavior, and memory formation. Through an analysis …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 1, 2025 · pp. 8–15 Read article
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Modular and Prefabricated Design: Shaping the Future of Interior Spaces
Abstract: This paper explores the emerging trend of modular and prefabricated design in the interior design industry, highlighting its potential to revolutionize the creation of residential and commercial spaces. The study examines the advantages of these approaches, including cost efficiency, sustainability, and design flexibility, while also addressing the challenges such as design constraints and regulatory hurdles. Through the analysis of contemporary projects and innovative case studies, the research demonstrates how modular …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 12–19 Read article
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Luxury Interior Design Trends and Market Dynamics
Abstract: The luxury interior design industry is undergoing a dynamic transformation due to shifting consumer preferences, technological innovations, and a growing focus on sustainability. This research paper examines the latest trends influencing luxury interior design, including the use of eco-friendly materials, smart home technologies, biophilic design elements, and custom-made furniture. Italsoanalyzesthemarketdynamics,includingthecurrent market size, growth projections, consumer behavior, and regional variations. The paper explores how global events, especially the COVID-19 pandemic, have …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 01–11 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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Navigating the Principles and Practice of Oral Anticoagulant Therapy: A Comprehensive Healthcare Guide
Abstract: Oral anticoagulant therapy plays a critical role in the prevention and treatment of thromboembolic disorders, including atrial fibrillation (AF), venous thromboembolism (VTE), and mechanical heart valve replacement. This research article aims to provide a comprehensive overview of the principles and practice of oral anticoagulant therapy, focusing on the mechanisms of action, pharmacokinetics, clinical indications, monitoring, and management of associated complications. The cornerstone of oral anticoagulant therapy includes vitamin K antagonists …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 76–82 Read article
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A review on Skin care and renewal with a beauty mask
Abstract: An important part of aesthetics is skin health. For this purpose, researchers and skincare experts continuously develop innovative materials and advanced techniques. To maintain optimal skin health, facial cosmetics keep skin moisturized and help to eliminate sebum from the skin. Using cosmetics that are appropriate for the kind of skin on the face leads to good skin. Therefore, in this study, we developed a natural face pack using readily available …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Comparative Analysis of Energy Storage System’s Hybridization for Electric Vehicles: Evaluating Lithium-Ion Batteries, Supercapacitors, and Fuel Cells on Performance Metrics
Abstract: High-performance energy storage systems (ESS) in electrically powered cars are becoming more and more necessary as transportation options become more environmentally conscious. This research provides a thorough comparison of hybrid energy storage systems (HESS) that link fuel cell technology, supercapacitors, and batteries made of lithium ion. Critical performance metrics are assessed for each technology, including energy density, power density, efficiency, lifecycle durability, thermal performance, cost and sustainability. It summarizes the …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 12–29 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Harnessing Hydrolgeological Parametrs: Prediction of Water Probability and Levels for Water Well Construction Using Ai-Enabled Models
Abstract: The AI-Based Decision Support System for Water Well Construction utilizes data from the National Aquifer Mapping and Management System (NAQUIM) and employs advanced AI techniques like regression analysis, decision trees, and neural networks. This system predicts crucial parameters for water well construction, including location suitability, water-bearing zone depths, and groundwater quality. By integrating large datasets such as lithology, geophysical logs, and aquifer maps provided by the Central Ground Water Board …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 16–28 Read article
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Polycystic Ovarian Syndrome and Its Management in Unani System of Medicine – A Comprehensive Review
Abstract: Polycystic ovarian syndrome (PCOS) is a prevalent endocrine disorder that significantly impacts women’s reproductive and metabolic health. It often leads to anovulation and infertility, creating distress for those affected. Additionally, PCOS increases the risk of developing diabetes and other long-term health complications. Recognizing and addressing PCOS is crucial, as early intervention can improve quality of life and prevent serious health issues. Common symptoms are polymenorrhea, oligomenorrhea, amenorrhea, hirsutism, acne, weight …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 13–24 Read article
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Development of a Low-Cost Air Quality Monitoring System Using the MQ2 Sensor
Abstract: Air pollution is becoming a major environmental problem, especially in cities, due to the quick expansion of industry and the rise in car emissions. The air is contaminated with dangerous chemicals such as carbon monoxide, nitrogen oxides, and fine particles, which have a major negative influence on human health by raising the risk of heart and respiratory diseases. Because of their dense populations and heavy traffic, urban areas are particularly …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 9–15 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Utilizing Drones for Tracking Wild Life Conservation: Tracking Census and its Anti Poaching Efforts
Abstract: Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there is still much to learn about how they might be applied to wildlife study. Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 36–43 Read article
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The association between emotional intelligence and job satisfaction among secondary school teachers employed by particular high schools of Bagalkot
Abstract: Background: The success of an individual hinges on several personal factors. In this age of globalization, where culture, science, economy and society are exchanged globally, emotional intelligence seems to be the missing currency. A person’s ability to handle emotions with wisdom is referred to as emotional intelligence. Those with emotional intelligence are guaranteed a positive simultaneity domestically, socially and professionally. Such individuals are better capable of managing their emotions and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 13–20 Read article
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Development and Experimental Investigation of a Light Weight Hybrid Electric Vehicle Using Lithium-Ion Battery and EDLC Supercapacitor Integration
Abstract: Lightweight hybrid electric vehicles (HEVs) have gained significant attention as an environmentally friendly and efficient mode of transportation. However, their energy storage systems (ESS) often face challenges such as limited battery lifespan, inadequate power delivery during peak demand, and inefficient energy recovery during braking. This research focuses on the development and experimental evaluation of a hybrid energy storage system (HESS) integrating Lithium-Ion Batteries (LIB) and Electric Double-Layer Capacitors (EDLC) for …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 26–40 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article