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1572 articles for “Efficiency Enhancement”
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Advances in Stimuli-Responsive Smart Drug Delivery Systems: A Systematic Review
Abstract: Imagine a world where medicines work smarter, not harder. Stimuli-responsive drug delivery systems (SRDDS) are transforming healthcare by releasing therapeutic agents in response to specific triggers. These triggers can be internal, like changes in pH or temperature, or external, like light or magnetic fields. By leveraging these triggers, SRDDS can optimize treatment and minimize side effects. The potential applications of SRDDS are vast, from cancer treatment to gene delivery and …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Investigating Temperature Effects on Thermal Analysis of Composite Heat Pipes with Diverse Geometrical Configurations
Abstract: As the demand for efficient heat dissipation technologies continues to surge, understanding the intricate interplay between temperature variations and the thermal performance of heat pipes assumes paramount importance. This study investigates the impact of temperature fluctuations on the thermal behaviour of heat pipes with diverse geometric configurations. A comprehensive analysis is conducted utilizing advanced computational simulations coupled with experimental validation techniques. Heat pipes are an innovative heat transfer device with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 20–34 Read article
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ProjectTrack: Streamline Project Management
Abstract: ProjectTrack is a streamlined project management platform tailored for academic institutions to enhance the handling of student projects. It addresses critical challenges such as group formation, topic submission, task allocation, and progress monitoring by automating and organizing these processes through an intuitive digital interface. A key feature is its machine learning-based similarity check, which analyzes project abstracts to prevent topic duplication, thereby promoting originality and reducing redundancy. The platform supports …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 69–76 Read article
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Design and Development of Ankle Foot Orthosis for Foot Amputated Person by Using Carbon Fibre
Abstract: Ankle and foot orthotics play a pivotal role in the rehabilitation of individuals who have suffered a stroke, aiding in the restoration of their gait and overall mobility. However, optimizing the effectiveness of these orthoses requires a personalized approach that takes into account each patient's unique biomechanical characteristics. This study delves into the innovative use of carbon fiber combined with cost-effective 3-D printing technology to craft custom foot plate orthoses …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 115–121 Read article
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Integration of Computer Vision with Raspberry Pi in Surveillance Robotics
Abstract: An enhanced method for tracking the weather at a specific location and having the data viewable from anywhere in the world is the system described in this paper. The technology behind this is the Internet of Things (IoT), a state-of-the-art and efficient way to connect devices to the internet and connect everything in the world in a network.. Things like electronic devices, sensors, and vehicle electronics could be found here.Temperature, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 22–27 Read article
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Biomedical Applications of Green-Synthesized Cobalt Oxide Nanoparticles
Abstract: The biomedical potential of cobalt oxide nanoparticles (Co3O4 NPs) synthesized via green methods is gaining recognition due to their biocompatibility and multifunctionality. This article reviews the antibacterial and anticancer properties of Co3O4 NPs synthesized using Delonix regia leaf extract. Characterization techniques confirmed their nanoscale size and uniform morphology. The antibacterial assay against Escherichia coli revealed significant activity, attributed to enhanced permeability and interaction with bacterial membranes. These findings highlight the …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Leadership Influence on Work Performance in Health Care Professionals: A Narrative Review
Abstract: Leadership significantly influences the work performance of healthcare professionals by shaping job satisfaction, engagement, and organizational efficiency. This narrative review examines 21 peer-reviewed articles from PubMed and Semantic Scholar on various leadership styles—transformational, servant, democratic, digital, collective, authoritarian, laissez-faire, and caring leadership—and their impact on healthcare performance. The results indicate that transformational, servant, and democratic leadership enhance engagement, teamwork, and job satisfaction, ultimately improving performance. Digital leadership fosters employee empowerment, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Design and Development of a Mini Drone for Educational Applications
Abstract: This paper describe the complete process of designing, building, and testing a small unmanned aerial vehicle (UAV), normally referred to as a drone. The plan combines key concept from aerodynamics, electronics, control engineering, and embedded programming to produce a functional sample. The drone was developed using trivial structural materials and affordable components, including brushless DC motors, electronic speed controller (ESCs), a flight controller, various sensors, and a lithium-polymer (Li-Po) battery. …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Biodegradable and Natural Fiber-Reinforced Polymer Composites for Sustainable Biomedical Applications
Abstract: Liposomal drug delivery has evolved into a viable approach in modern pharmacology thanks to its enhanced bioavailability, reduced systemic toxicity, and targeted drug release. Conventional liposomes have limited stability, medicine leakage, and short circulation times among other problems. Overcoming these limits, the inclusion of nano-polymers into liposomal formulations has transformed medication delivery. Thorough research has been done on the potential of nano-polymers including chitosan, hyaluronic acid, polyethylene glycol (PEG), and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 420–432 Read article
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Reduce Traffic Congestion Using Automated Traffic Navigation System
Abstract: The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 34–40 Read article
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Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
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The Technological Evolution of Conventional Engines in Transport Systems Aimed at Mitigating Atmospheric Pollutant Emissions
Abstract: The automotive sector is a major contributor to atmospheric pollution and faces increasing pressure to adopt sustainable energy alternatives. This study explores technological innovations aimed at reducing vehicle emissions, focusing on advancements in internal combustion engine efficiency and the expanding role of renewable fuels such as ethanol and biodiesel. The transition to electric vehicles is also analyzed, emphasizing benefits in emission reduction and challenges related to charging infrastructure and battery …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–32 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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Integration of Revit to Microsoft Project for Construction Project Management: A Comparative Analysis of Scheduling and Resource Allocation
Abstract: Building Information Modelling (BIM) has revolutionized the construction sector by having architectural, structural, and mechanical design on one 3D platform. Autodesk Revit application enables real-time updates and changes without increasing errors and omissions. Its parametric nature allows users to develop intelligent models, enhancing decision-making, resource allocation, and cost estimation. Revit's visual representation allows effective coordination and communication with stakeholders, promoting a higher degree of client satisfaction. The application and benefits …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 13–46 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article