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1662 articles for “process improvement”
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Harnessing Ethylene and Brassinosteroids for Enhanced Agricultural Productivity and Food Quality
Abstract: This study provides a comprehensive review of the roles of ethylene and brassinosteroids, two vital hormonal regulators in plants, focusing on their impact on fruit ripening, stress responses, and overall plant growth. Ethylene, a gaseous plant hormone, is recognized as a key regulator in various physiological processes, particularly in the maturation of fruits. Its involvement in the ripening process has profound implications for agricultural practices, as it directly influences the …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 29–32 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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An AI Integrated Online Hotel Management System
Abstract: The rapid advancement in technology across all industries around the globe has paved the way for hospitality sector to reap benefits. Hotel management software has come an extended way in assisting hoteliers to amend the way their business functions. Hotel Management system includes many activities viz., maintaining hotel guest’s records, booking, doing registrations, posting of bills and input room hotel rates, etc. Thus, handling the items manually creates great challenges …
Published in Journal of Web Engineering & Technology Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Study and Thermal Analysis of a Rectangular Duct with Z-shaped Baffle Using Ansys
Abstract: This project aims to enhance heat transfer in a rectangular duct by utilizing Z-shaped baffles. It involves creating a 3D CAD model using SolidWorks and validating it in ANSYS Fluent 2019 R2. The study focuses on analyzing the effect of baffle arrangement, height, and angle on heat transfer rate. Comparative analysis is conducted between rectangular ducts with a 60° angle and heights of 4 mm, 6 mm, and 8 mm. …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 14–30 Read article
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Effectiveness of Abdominal Muscle Exercise in Improving Peak Expiratory Flow in Normal Individuals
Abstract: In health the human cardiopulmonary system has enormous reserve capacity to cope with the demands of exercise (or) illness. Expiration is usually normally a passive process with active muscle contraction being used during more forceful activities such as cough (or) sneezing. The abdominal muscles are the major muscle of the diaphragm. So it improves the efficiency of expiration. The objective is that the person with partial (or) complete weakness of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 2, 2013 · pp. 10–13 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Composite Behavior of Bagasse Ash Stabilized Expansive Soil with Sodium Benzophenone Under Curing Conditions
Abstract: The present investigation examines the development of a hybrid composite using Black Cotton (BC) soil, Bagasse Ash (BA), and Sodium Benzophenone (SBP) as performance-enhancing elements. Different ratios of BA, a silica-rich agro-industrial by-product, were added to improve pozzolanic reactivity and particle size distribution (0%, 6%, and 12%). SBP was added in the range of 0–0.6% as a compatibilizer in order to enhance interfacial adhesion, particle cohesivity and moisture-assisted deterioration resistance. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1134–1146 Read article
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Recent Progress in Chemical Technology Research and Its Industrial Utilizations
Abstract: Recent advancements in chemical technology have profoundly transformed the industrial environment by integrating novel materials, eco-friendly processes, and sophisticated analytical instruments. This article examines important new developments in chemical research in areas like catalysis, nanotechnology, process intensification, and green chemistry. The focus is on how these scientific advances may be used in industry, such as making production procedures cleaner, improving energy efficiency, and making materials that work better. The revolutionary …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 56–66 Read article
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Effect of WEDM Machining Parameter on the MMC: A Review
Abstract: Recent area of manufacturing is highly focus on good accuracy and a complex shapes are mechanized by the advanced machining operation. The wire electrical discharge machining (WEDM) have the ability to produce the complex shapes with having high accuracy. The WEDM is non-contact type machining operation and is used for metal materials as well as Metal Matrix Composites (MMCs), ceramics composites those have many application in vast areas such as …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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Determining the Root Causes of Complications in Hemodialysis
Abstract: As with peritoneal dialysis and kidney transplantation, hemodialysis has been considered one of the most effective therapies for the replacement of kidney function. While this helps to save patients with the disease by decreasing morbidity /mortality/ rates, this medication has some side effects. These may manifest during the dialysis process alongside the ongoing treatment. Avoiding these barriers becomes crucial for improving the patients’ prognosis in this context.We are going to …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 27–47 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Modeling and Numerical Simulation of Forged Ploughing Disc
Abstract: Forging operation is the oldest metal forming process known for producing a product of a reduced void and improved physical properties which make it suitable for manufacturing of a ploughing disc that can be applied in sticky soil, for deep plough. It can also be used safely in stony and stumpy soil without much danger of breakage. This study focuses on identifying appropriate parameters for the manufacturing of a proper …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 35–42 Read article
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River Science Research: Multidisciplinary To Trans Disciplinary
Abstract: We are in the decay where water is important as well as complex concern of our day to day life. River is the main source of surface water. It’s merely essential to figure out the issues that will affect the river changes for successful river management. Due to enormously uncertain spatial; temporal multidimensional characteristic of river change it’s very difficult to give exact theoretical concept to address this issue. There …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 15–19 Read article
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Advances in Pipe Flow Systems, Turbulence, and Combustion Processes in Fluid Mechanics
Abstract: Fluid mechanics plays a critical role in the design and optimization of engineering systems involving fluid transport, energy conversion, and thermal processes. This review presents recent advances in pipe flow systems, turbulence behavior, and combustion processes, highlighting their interdependence in modern applications. Pipe flow systems are essential in industries such as water distribution, oil and gas transport, and chemical processing, where flow characteristics are influenced by factors such as pressure, …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 1–7 Read article