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1887 articles for “process improvement” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Efficacy of Electronic Resources in Teaching–Learning Process for Faculties in CMR College of Engineering and Technology, Hyderabad, Telangana: A Survey
Abstract: This paper evaluates the use of C M R College of Engineering and Technology, College Library in Hyderabad (Telangana), India. A survey of 73 faculty members is conducted through a questionnaire. The analysis of the collected data covers the use of electronic resources and how the electronic resources are improving the academic careers of the faculty and also what are the problems that are faced in using the electronic resources. …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 1, 2018 · pp. 85–88 Read article
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Significance of Nanotechnology in Mechanical Engineering.
Abstract: Nanotechnology is a rapidly advancing field that has gained significant attention in recent years. It involves the manipulation of matter at an atomic or molecular scale, and its applications are vast and diverse. One area where nanotechnology has shown immense potential and importance is in the field of mechanical engineering. Mechanical engineering is a discipline that deals with the design, production, and operation of machinery, structures, and systems. It has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 13, Issue 3, 2023 · pp. 8–15 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Improvement of Energy Consumption in Wireless Sensor Networks
Abstract: AbstractA WSN is a set of nodes structured to form a network which are wireless in nature. Routing is a significant technology in this network. A sensor network is composed with vast number of little sensors. All sensor nodes are well-defined with specific parameters in word of energy. Data transmission in wireless communication takes more power than data processing. When the nodes are sending additional number of data, proportionately their …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 1–6 Read article
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A Review on: Oral Thin Films: A New Approach to Effective and Easy Drug Delivery
Abstract: Oral Thin Film (OTF) is an advance drug delivery system in which drug is incorporated into dissolvable strip and place in oral cavity for rapid absorption. OTF is useful for patient such as pediatric and geriatric who have difficulty swallowing pills. It provides rapid action, precise dosage and improved bioavailability. OTFs consist of fast-dissolving films, extended-release films, and mucoadhesive films for various therapeutic applications. The manufacturing processes of OTFs such …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 22–41 Read article
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Pharmacovigilance and drug safety current trends and challenges
Abstract: Pharmacovigilance and drug safety are critical areas of focus in healthcare, aimed at monitoring the safety and efficacy of pharmaceutical products throughout their lifecycle. This review explores current trends, emerging technologies, and challenges in pharmacovigilance, emphasizing their impact on public health and regulatory practices. With the increasing complexity of global pharmaceutical markets, pharmacovigilance systems are evolving to integrate real-time data analytics, artificial intelligence (AI), and machine learning (ML) to detect …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 19–27 Read article
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Impact of Layer Height and Infill Line Orientation On 3D Printed Components Produced Via Additive Manufacturing
Abstract: Additive Manufacturing (AM) is an extrusion-based technique used to create objects by extruding semi-molten material through a nozzle of specific dimensions. Materials like acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), polycarbonate (PC), and others are commonly employed in this process to manufacture industrial components. The mechanical properties of engineering component are critical for various industrial applications. This study investigates the impact of additive manufacturing on fabrication, considering different process parameters. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 315–323 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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A Study on the Role of Women’s Involvement in Fisheries and Aquaculture with Reference to the Mumbai Region
Abstract: Women play a crucial role in the fisheries and aquaculture sector, engaging in activities such as fish processing, marketing, and aquaculture management. Although they make major contributions, they frequently encounter socio-economic difficulties, such as limited access to funding, technological tools, and skill development opportunities. In the Mumbai region, women’s involvement in the fisheries industry is essential for economic sustainability, yet financial constraints and inadequate infrastructure restrict their growth and leadership …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Lightweight Composite Materials for Electric Vehicles (EVs) and Public and Private Transport
Abstract: The rapid expansion of the electric vehicle (EV) industry has intensified the demand for battery enclosures that are lightweight, durable, thermally stable, and environmentally sustainable. This study investigates the design and sustainable fabrication of hybrid nanocomposites for advanced EV battery housings. The proposed composite system combines carbon fiber, glass fiber, and graphene nanoplatelets within a bio-based epoxy matrix, resulting in superior mechanical strength, enhanced thermal stability, and excellent flame retardancy.A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 470–481 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 01–12 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Multi Response Optimization in Friction Stir Welding Al 7075/SiC/10% Metal Matrix
Abstract: The aim of this investigation is to determine the effect of Friction Stir Welding process parameters such as tool rotational speed, weld speed, tilt angle and tool geometry on Al7075/10%wt./SiC Metal matrix Composite. Composites were prepared by the mechanical stir casting process. L27 orthogonal array was chosen for the experimental design. The response characteristics as tensile strength (UTS ) and hardness (VHN) were measured and optimized with Taguchi based grey …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 30–38 Read article
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Re-engineering the Engineered Construction Organization
Abstract: The concept of organization as a basic information processing system to provide flexibility and adaptability in highly uncertain and turbulent construction environment was used to design a post-bureaucratic organizational structure particularly for construction industry. The different divisions/departments in the organization are developed as interacting information processing subunits generating and disseminating a continuous flow of data/information. In addition to proposing the efficient way of vertical communication for productivity improvement, the proposed …
Published in Journal of Construction Engineering, Technology & Management · Vol. 3, Issue 3, 2013 · pp. 54–66 Read article
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Reformation of WLAN Feeler by Incorporating Varactor Diode with Negative Media Structure
Abstract: AbstractIn this manuscript, authors proposed a negative media structure with Varactor diode to reform the rectangular microstrip patch antenna parameter to a great extent. Initially basic feeler was designed and simulated, and then parameters were enhanced by implementing negative media structure. It has been observed that negative media is not sufficient to improve the parameters therefore Varactor diode was introduced to get the required improvement. This proposed design of feeler …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 33–41 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Advances in Polymer-Based Orthodontic Materials for Enhanced Treatment Efficiency
Abstract: Polymers, particularly shape-memory polymers, fiber-reinforced composites, and elastomeric materials, provide enhanced mechanical properties such as flexibility, durability, and controlled force application, leading to improved treatment outcomes. These materials offer superior biocompatibility, reducing irritation and discomfort for patients while ensuring efficient and predictable tooth movement. It is important to note one of the key advancements in orthodontics is the use of shape-memory polymers, which can respond to temperature or external stimuli, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1016–1024 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article