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742 articles for “quality improvement”
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Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries
Abstract: Artificial Intelligence and virtual reality are becoming a part of everyday life and are enhancing our quality of life extensively. It is only natural that the same shall be used in surgery also. The existing body of literature on artificial intelligence (AI) and its integration into various surgical specialties has been extensively reviewed and discussed in this article. These insights, though derived from broader surgical domains, can be effectively translated …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 1–5 Read article
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From High-Resolution Optics to High-Bandwidth Telemetry: The Evolution of Deep-Space Imaging Satellites
Abstract: The development of deep space imaging satellites has significantly enhanced satellite communication and space exploration capabilities. Earlier satellite systems relied on low-resolution imaging and conventional radio-frequency (RF) communication, which limited data transmission rates and image quality. With advancements in technology, modern satellites are equipped with high-resolution optical systems capable of capturing detailed images of celestial bodies. Furthermore, the introduction of high-bandwidth telemetry systems, such as Ka- band and optical (laser) …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 34–40 Read article
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Experimental Investigation of Micro-Hardness & Tribological Behavior of Composite Coating for Wear Resistance Application
Abstract: The author effectively created a composite coating with enhanced durability utilizing the HVOF technique in this investigation. The automobile business has encountered fierce worldwide rivalry, rapid technical breakthroughs, and strict regulatory regulations in recent year.. Producers of lubricants, gasoline additives, and worldwide original equipment manufacturers (OEMs) are striving to address the difficulties presented by changing consumer preferences and emerging energy conservation and environmental protection regulations. We have successfully created and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1097–1103 Read article
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Fracture Mechanics-based Assessment of Welded Joints in Structural Steel Components
Abstract: In many engineering applications, connection by welding are essential to the structural integrity of steel components. However, because of the intricate interplay between material qualities, welding techniques, and structural stress conditions, evaluating the dependability and safety of these welded connections continues to be a difficult challenge. A systematic framework that evaluates the behavior of cracks and faults in welded joints is provided by fracture mechanics, which also offers insights into …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 16–22 Read article
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Enhancing Chatter Resistance in Deep Hole Boring Through Modified Tool Design: A Study on Impact of Length-To-Diameter (L/D) Ratio
Abstract: Deep hole boring is a specialized machining process crucial for creating precise bores with high length-to-diameter (L/D) ratios, particularly vital in aerospace, automotive, and oil and gas industries. The L/D ratio is pivotal for stability and performance. Chatter, a detrimental vibration phenomenon, is a significant concern in deep hole boring, influenced by the L/D ratio. Higher L/D ratios increase chatter, leading to poor surface finish and reduced tool life. Longer …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 24–33 Read article
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Comparative Performance Study of Rubberized Concrete and Conventional Concrete: Strength, Sustainability, and Innovation
Abstract: The growing amount of car waste is a major problem around the world, and getting rid of old tires is especially important for the environment. Rubberized Concrete (RC) uses broken tire rubber as a substitute for natural materials in concrete, which is a smart and new way to help build in a more sustainable way. This review paper compares how well rubberized concrete works against conventional concrete (CC). The study …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–7 Read article
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Multi-Response Optimization of Turning Parameters with Vikor-Entropy Method on Machining of AA6061-TiB2 In-Situ Composites
Abstract: In the manufacturing and metal cutting industries, the quality of the surface and strength is essential in defining the surface finish; an excellent surface finish indicates excellent quality in the product. The influence of machining parameters speed, feed and depth of cut on responses like material removal rate, surface roughness and Power consumption on turning of AA6061-TiB2 composites is investigated using the VIKOR-ENTROPY method. The effects of changing parameters on …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 256–268 Read article
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Performance Evaluation of Adverse Atmospheric Effects on Free Space Optical Communication
Abstract: There is an increasing need for communication systems that can accommodate high bandwidth and quick data transfer rates in today's fast-paced technological environment. Free Space Optical (FSO) communication has become a very attractive technology to address these changing needs. FSO systems, which use license-free infrared beams, have a number of benefits, including strong bandwidth, immunity to interference, improved security, and small, light designs. FSO is used in many different applications, …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Leveraging Origami for Space Efficiency: A Comprehensive Review of Its Role in Aerospace
Abstract: Originating in East Asia, origami has developed beyond its original artistic medium to play a significant role in the design of adjustable systems, especially in the sector of space engineering. Due to tight weight and space constraints, these structures which are essential for aviation and spacecraft make effective use of the geometric qualities of origami. This study provides a summary of recent research, emphasizing the benefits, technical applications, and uses …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 43–50 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Revolutionizing Drug Delivery: Recent Advances in Pharmaceutical Dosage Forms
Abstract: Recent advances in pharmaceutical dosage forms revolutionize drug delivery, prioritizing targeted therapy and patient well-being. Enhanced drug carriers address complex medical challenges, from high-grade gliomas to ocular drug delivery, maximizing therapeutic efficacy while minimizing adverse effects. Traditional dosage forms like tablets and capsules undergo meticulous formulation and manufacturing processes, integrating Quality by Design principles for consistent product quality. Liquid formulations encounter stability challenges, necessitating rigorous stability testing and pH monitoring. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 77–89 Read article
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Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 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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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article
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Iron Ore Beneficiation through Reverse Flotation: Advances in Nanobubble-Assisted Flotation Technology for Lean Grade Ore Upgradation and Silica Removal: A Review
Abstract: The global demand for high-grade iron ore concentrates continues to surge as readily available rich ores become depleted. Iron ore beneficiation through froth flotation has emerged as a critical technology for upgrading lean-grade iron ores (typically 25–35% Fe) to produce high-quality concentrates (64–70% Fe) suitable for direct reduction and blast furnace operations. This comprehensive review examines the fundamental principles of flotation in iron ore beneficiation, with particular emphasis on the …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 1–30 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article