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900 articles for “process design”
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Advanced Fiber-Reinforced Polymer Composites: Processing, Nano-Modified Adhesive Technologies, Interfacial Engineering, Durability, and Structural Applications—A Comprehensive Review
Abstract: Fiber reinforced polymer (FRP) composites are considered to be one of the most universal categories of advanced engineering materials owing to their unique properties such as outstanding strength-to-weight ratio, corrosion resistance, fatigue durability, and wide opportunities for design. Innovations in the fields of fiber reinforcement, polymer matrix system, composite manufacturing technologies, and nano-modified adhesives technology have greatly extended the range of applications of this type of materials in aerospace, automotive, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 980–990 Read article
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Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Comparative Analysis of the Structural Integrity and Dimensional Stability of Additively Manufactured Biopolymers vs. Thermoformed PETG: A 1-Year Retrospective Study on Polymer Performance in Orthodontic Applications
Abstract: Objective: This study aimed to evaluate the long-term dimensional accuracy and structural performance of direct 3D-printed biopolymers compared to conventional vacuum-formed Polyethylene Terephthalate Glycol (PETG) composites. The investigation focused on how different polymer processing methods (additive manufacturing vs. thermoforming) influence material thinning and resistance to occlusal stress. Methods: A retrospective analysis was conducted on 60 cases (n = 60) of post-orthodontic maintenance. The sample was divided into two cohorts: Group …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 140–146 Read article
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Adaptive Car Parking Systems: Utilizing Real-Time Data and wireless sensors (optical sensors) microsystems for car parking assistance
Abstract: This Android Car Parking System App aims to simplify and improve the car parking experience for users. It provides a convenient solution for locating available parking spots, making reservations, and charging electric vehicles. The app leverages smartphone technology to enhance user convenience, reduce parking congestion, and promote efficient space utilization. The motivation behind this app is to address these issues and make the parking process more convenient and efficient. By …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Design and Performance Analysis of Natural Rubber–Silica Nanocomposite Vibration Isolators for Household Appliances
Abstract: Natural rubber (NR) nanocomposites reinforced with surface-modified precipitated silica (SiO2) were synthesized through a two-roll mill compounding and compression-moulding process, then systematically evaluated as passive vibration isolator materials for domestic washing machine applications. Five silica loadings 0, 5, 10, 15, and 20 phr were investigated. A comprehensive characterization suite encompassing tensile testing, Shore A hardness, dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and scanning electron microscopy (SEM) revealed clear structure–property …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 554–560 Read article
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Structural Optimization of FDM-Processed ASA Polymer Frames through Acetone Solvent Welding, Variable Infill Strategy, and Layer Orientation: Experimental Validation via Quadcopter Flight Testing
Abstract: Acrylonitrile styrene acrylate (ASA) is an amorphous terpolymer with superior UV resistance compared to acrylonitrile butadiene styrene (ABS), as its acrylate rubber phase lacks photodegradation-prone carbon–carbon double bonds. This study proposes acetone solvent welding as a polymer joining method to produce monolithic structures from FDM-processed ASA components, addressing three processing challenges: achieving structural continuity through polymer chain interdiffusion at solvent-wetted interfaces, correcting thermal warping via post-print geometric correction during welding, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 689–703 Read article
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Restructuring of Sanitation Structures: Reviewing Technological Changes
Abstract: This paper comprehensively reviews the latest technological advancements in rural sanitation systems, focusing on developing urinals and toilets. In many rural areas, improper toilet waste disposal directly into water bodies has led to environmental contamination. In addressing this issue, biological processes are used to degrade fecal matter. However, contemporary challenges include bacterial infections from unhygienic toilets, persistent foul odors, and poorly designed toilet pans. Additionally, more community engagement is needed …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 67–80 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Smart Firefighting Robot using Arduino Uno
Abstract: A fire is dangerous and can have many repercussions. Numerous accidents can be avoided by promptly identifying and putting out a fire. Human resources have been our mainstay thus far. The person's life is often in jeopardy as a result. Consequently, fire safety becomes essential to save lives. The fire extinguishing robot proposed and designed in this work locates the fire and utilizes sprinklers to extinguish it when the pump …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 21–27 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Analysis of the Impact of Seabed Earthquakes on Coastal Structures and Foundation Design
Abstract: Earthquakes in the seabed occur with varying magnitudes. Seabed earthquakes cause a rapid rise in water levels, which can lead to flooding and structural damage. Therefore, when designing buildings near the seashore, it is essential to account for the additional load on columns due to water thrust. Earthquakes occurring at the seabed generate intense ground acceleration of varying magnitudes, significantly affecting water levels and inducing destructive flooding along coastal regions. …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 42–49 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Design and Implementation of an Automatic Tea Vending Machine Using Arduino Uno and Android-Based Customization System
Abstract: The Android app-based Automatic Tea Vending Machines are a clever and creative way to automate the tea-making process while providing consumers with a customized experience. The Arduino Uno microcontroller, which powers key functions like ingredient delivery, water heating, and customizable settings, is the foundation of this system. To ensure consistent and superior tea preparation, a kettle is used to heat water to the ideal temperature. Users may simply and remotely …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Designing of Shredder Machine for Recycling Post Consumer Denim Waste for Making Composite Denim Boards
Abstract: India has a population of about 1.35 billion in 2020 and as fabrics account for 4% of India's GDP, customers spend roughly 68 billion dollars on apparel and footwear each year. Currently, the short lifecycles of apparel products due to rapid fashion cycles and increased buying power of Indian consumers in urban as well as in rural areas are resulting in significant amounts of postconsumer textile waste in the form …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 934–945 Read article
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Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters
Abstract: Due to the production of plastic products with complex shapes, the plastic injection moulding manufacturing method has recently received a lot of attention. In order to improve manufacturing performance, the cycle time for the injection moulding process has been reduced, the defect known as dimensional warpage that results from temperature differences inside the mould has been reduced, and the mechanical tensile strength of the material has been increased so that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 337–345 Read article