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542 articles for “resource efficiency”
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Comparative Analysis of Polyethylene Terephthalate Based Blended Lean Mortar Mixes by Applying Mathematical Simulations and Regression Approach
Abstract: Currently, construction manufacturing units need an abundant number of non-renewable resources rising in the quarrying of natural strata, producing a disparity in our precious environment. Besides this, a plentiful amount of waste material like plastic waste in several forms such as solid, filler, etc., is generated gradually. Therefore, efficient sustainable disposal seemed like a threatening mission across the world. To mitigate the issue, in the present investigation, fine aggregate (sand) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 60–70 Read article
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Self-Navigating Rover for Real Time Mapping and Disaster Management
Abstract: This paper presents the development of an autonomous rover designed for mapping and object detection in challenging terrains. The rover integrates a 6-wheel rocker-bogie mechanism for enhanced mobility and stability, making it suitable for rugged and uneven environments. Key components include an Arduino Uno for control operations, a Camera module for real-time visual data capture and object detection, and a LiDAR for precise distance measurement and spatial mapping. The system …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 23–33 Read article
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Fuel Cell and Solar Powered Based Renewable Energy Power Generation for Electric Vehicle Charging Station
Abstract: With the recent surge in Electric Vehicles (EVs) adoption, there is an ongoing demand for durable, reliable and green charging infrastructure. Traditional EV charging stations depend on grid electricity (which is produced by fossil fuel power plants) in real time and fail to unleash the full potential of electric mobility. In this study, a hybrid renewable energy system composed of Solar Photovoltaic (PV) arrays and Hydrogen Fuel Cells (FCs) is …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience
Abstract: Landmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 28–34 Read article
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Green Synthesis of Cobalt Oxide Nanoparticles Using Delonix regia Leaf
Abstract: Green synthesis of nanoparticles offers a sustainable and eco-friendly alternative to conventional methods. This study explores the biosynthesis of cobalt oxide nanoparticles (Co3O4 NPs) using Delonix regia leaf extract as a reducing and stabilizing agent. The synthesized Co3O4 NPs were characterized by UV-visible spectroscopy, Fourier transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), confirming their uniform spherical morphology with an average size of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 30–38 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Nanoparticle-Based Early Diagnostic Tools for Tuberculosis and Malaria in Rural India
Abstract: Malaria and Tuberculosis continue to be two major public health challenges in rural India. The interplay between an inefficient health care system, late diagnosis, and under-identification of cases contributes to the high morbidity and mortality associated with TB and Malaria. Conventional methods, such as sputum microscopy for TB, microscopy and rapid diagnostic tests (RDTs) for malaria, have a higher benchmark of sensitivity that requires a certain amount of time, skilled …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 45–51 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article
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Mechanically Operated Portable Hydrotesting Setup
Abstract: Hydrostatic testing is a crucial process in ensuring the integrity and safety of pressure vessels, pipelines, and various other industrial equipment. Traditional hydrostatic testing setups often require significant infrastructure and resources, limiting their accessibility and flexibility, especially in remote or constrained environments. This research paper presents the design, development, and implementation of a portable hydro testing setup tailored to address these challenges. The proposed setup offers a compact, versatile, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Harnessing the Growth Potential of Cloud Computing in Agriculture
Abstract: Unlocking the Green Revolution: A Comprehensive Exploration of Cloud Computing Integration in India's Agricultural Landscape. The integration of cloud computing technology in the agricultural sectors of India is poised to play a pivotal role in propelling the nation's holistic development. This paper delves into the dynamic realm of cloud computing, serving as a catalyst for innovation and efficiency in agriculture. By eliminating the need for maintaining expensive computing infrastructure, cloud …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 32–37 Read article
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Toward Comprehensive Immunization: The Role of Combined COVID-19 and Influenza Vaccines in Public Health
Abstract: The emergence of multi-pathogen vaccines, particularly those combining protection against COVID- 19 and influenza, marks a significant advancement in immunization efforts. These combination vaccines have the potential to streamline vaccination processes, improve vaccine uptake, and reduce the burden on healthcare systems by offering a single dose that targets both viruses. COVID-19 and seasonal influenza are major public health concerns, with overlapping symptoms and seasonal patterns that justify the rationale for …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 9–17 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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Automated Entry Door Powered by Waste to Electricity Generation
Abstract: Waste-to-energy technologies are currently under scrutiny due to the rising demand for sustainable energy solutions. This paper discusses the design and implementation of an automated entry door system powered by waste-to- electricity technology. The system integrates renewable energy generation from organic and inorganic waste with an efficient automated door mechanism, providing a sustainable and eco- friendly solution for energy utilization in modern infrastructure. The waste-to-electricity module converts biodegradable waste into …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 9–14 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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Dynamic Cost Projection: Enhancing BIM-Integrated Estimation and Budgeting in Construction Projects
Abstract: In the realm of construction project management, the integration of Building Information Modeling (BIM) with dynamic cost projection tools represents a pivotal advancement. This paper explores the synergy between BIM and cost estimation, emphasizing their collective potential to revolutionize project budgeting. By harnessing real-time data and predictive analytics, BIM facilitates accurate and proactive cost projections throughout the project lifecycle. This integration not only enhances cost estimation precision but also fosters …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 1–10 Read article
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Evaluating the Performance, Emissions, and Combustion Characteristics of CRDI Diesel Engines Using Pine Oil Blends as a Sustainable Fuel Alternative
Abstract: The performance of Common Rail Direct Injectors (CRDI) diesel engines is examined in this study in relation to interacts of pine oil used as an alternative fuel. Finding sustainable fuel solutions is of paramount importance given the growing environmental concerns and the decreasing supply of fossil fuel resources. Pine oil, obtained from resin tapped from pine trunks and processed through steam distillation to separate turpentine from rosin, offers a viable …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 24–33 Read article