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1600 articles for “drying”
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Incorporating Sensors and Algorithms for Enhanced Go-Kart Driver Awareness and Navigation
Abstract: This study is motivated by the Go Kart Design Challenge (GKDC), wherein dedicated teams from the University collaboratively endeavored to bring to life a competitive go-kart. Serving as an invaluable learning platform for mechanical engineers, the project involved comprehensive engagement in go-kart design calculations, budget estimations, fabrication, qualification testing, and dynamic participation in competitions. This paper succinctly outlines the key phases of the project, encompassing the design process, fabrication intricacies, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 362–373 Read article
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Automotive Aluminium Advancements: Driving Efficiency and Performance in Manufacturing
Abstract: Due to the special qualities of aluminum and its alloys, aluminum is one of the most versatile materials used in engineering and construction. Its electrical and thermal characteristics are good, and it reflects light and heat well. It is highly corrosion-resistant under many service conditions. Besides, it is soft, ductile and possesses lower specific gravity. It can be cast and worked into almost any form and can be given a …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Identifying ABO Blood Group and Rh Status Using Dried Saliva Samples
Abstract: This article discusses the accuracy of dried saliva samples in establishing ABO and Rh blood types. Participants, likely screened for secretor status beforehand, submitted blood and saliva samples. Both samples were ABO blood typed (A, B, AB, or O) using standard methods such as gel card technology or hemagglutination assays. We used both saliva and blood to perform Rh typing. The findings revealed that saliva and blood typing for ABO …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 11–19 Read article
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Presenting the Model and Prioritization of Lean Production Success Drivers (Case study: Iran Khodro Company)
Abstract: The purpose of the current research is to present a model and prioritize the drivers of lean production success (case study: Iran Khodro Company). The statistical population and statistical sample of this study consists of 20 experts (managers) of Iran Khodro production department. In this research, first, the most important key success factors of lean production were determined using the validity technique of the content validity ratio, then the interpretative …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 30–42 Read article
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AbhiGyam: A Machine Learning Model-driven Research Platform for Assessing Accessibility Infrastructure in Indian Cities
Abstract: This work presents AbhiGyam, a machine learning-driven research platform designed to streamline and automate the assessment of accessibility infrastructure in Indian cities. AbhiGyam leverages the Google Maps API to transmit street view images to the backend, where computer vision techniques are implemented using OpenAI's CLIP (Contrastive Language-Image Pre-training) model to identify objects such as ramps, sidewalks, crosswalks, and parking spaces. The accuracy of the model is validated using labeled data …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 84–91 Read article
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Optimizing Solo Athletic Excellence: Analyzing Psychological, Economic, and Cultural Drivers in Elite Sports Performance
Abstract: This research paper explores the multifaceted drivers behind elite solo sports performance, integrating psychological, economic, and cultural perspectives to understand how these factors contribute to athletic excellence. The study synthesizes insights from a variety of academic journals, authoritative books in sports science, and articles from prominent sports and psychology magazines. Through a mixed-methods approach, we analyze the resilience and mental strategies employed by solo athletes, assess the economic conditions that …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 16–26 Read article
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Investigation on Dry Sliding Wear Behaviour of AlSi7Mg0.3/B4C/ZrO2 Hybrid Composites using Taguchi Method
Abstract: Hybrid Aluminium/Boron carbide/Zirconium oxide (AlSi7Mg0.3/B4C/ZrO2) composites were fabricated utilizing stir casting technique by varying boron carbide content (4wt.%, 8wt.% and 12wt.%) and utilizing a fixed amount (4wt.%) of zirconium oxide particles. Optical microscopy revealed that B4C and ZrO2 particulates were dispersed uniformly in AlSi7Mg0.3 matrix. Dry sliding wear experiments were carried out utilizing the pin-on-disc tribometer with various levels of applied loads, sliding speeds and weight percentage of boron carbide …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 166–177 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Open AI Chat GPT in Educational System: Evaluating the Efficacy of AI driven Learning
Abstract: This research delves into the effects of implementing OpenAI ChatGPT into educational systems and how it affects the results of student learning. The cutting-edge natural language processing model known as OpenAI ChatGPT has the ability to provide adaptive and individualized learning experiences, which might completely transform conventional teaching approaches. The purpose of this research is to determine if ChatGPT is more effective than more conventional approaches in enhancing students' interest, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Catalyst-Driven Innovations in Waste Management: From Degradation to Resource Recovery for Circular Economy
Abstract: Waste management has long been a critical challenge for modern societies, with the dual goals of minimizing environmental impact and maximizing resource recovery. Due to their large ecological footprints, conventional waste disposal techniques like landfilling and incineration have been shown to be unsustainable. In response, the focus has shifted toward innovative solutions that not only degrade waste but also recover valuable resources. Catalysts, with their remarkable ability to accelerate chemical …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 08–16 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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AI-Driven Carbon Capture and Utilization: Advancing Sustainable Solutions for Climate Change Mitigation
Abstract: Climate change stands out as one of the biggest challenges for our planet today, as it poses a threat unprecedented to global ecosystems and human societies. This phenomenon is primarily driven by the increase in atmospheric greenhouse gases, particularly carbon dioxide (CO2), which trap heat in the atmosphere and cause rising global temperatures. These sources are largely industrial processes, transportation, and energy production, all of which rely very much on …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 40–48 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Green Logistics: Driving Sustainability in Operations
Abstract: Green logistics refers to the integration of environmentally friendly practices in logistics and supply chain management. As sustainability becomes a key focus in global operations, businesses are increasingly adopting green logistics strategies to reduce environmental impact, minimize carbon emissions, and optimize resource use. This concept involves a broad range of initiatives, such as utilizing energy-efficient transportation modes, reducing packaging waste, adopting green warehousing practices, and promoting recycling and reuse throughout …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 1, 2025 · pp. 30–34 Read article
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Colostrum-Driven Epigenetic Programming in Dairy Cows: A Pathway to Optimal Reproductive Health
Abstract: Colostrum is a vital nutritional source for neonatal calves, providing immune support and essential growth factors. Recent research suggests that colostrum’s impact extends beyond immediate immunological protection, influencing long-term reproductive health through epigenetic modifications. In dairy heifers, early-life exposure to high-quality colostrum may program the developing reproductive system, affecting ovarian function, uterine health, and overall fertility. The components of colostrum, including hormones, growth factors, and bioactive peptides, can induce epigenetic …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 35–51 Read article
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AI-Driven Product Management Assistants: Co-Pilot or Competitor for the Future PM?
Abstract: The emergence of Artificial Intelligence has led to a big transformation in the field of product management. When AI first came into picture, it was limited to the routine tasks but now AI assistants are able to handle a lot of decision making and streamline the execution process involved in product management. A major question with this emerging technology: can these assistants now or in future handle the work of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 58–63 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article