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605 articles for “contribution analysis”
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Grey Water Recycling
Abstract: Domestic grey water recycling and reuse in residential buildings have been comprehensively examined. It is estimated that recoverable grey water can account for approximately 35% to 40% of total household water demand, highlighting its substantial potential to reduce freshwater consumption in domestic settings. A comprehensive worldwide review of grey water recycling and reuse practices has been reported, highlighting the increasing importance of sustainable water management in both developed and developing …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 69–77 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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A Decentralized Approach to Online Voting: Leveraging Blockchain Technology
Abstract: The increasing need for secure and transparent voting systems has led to the exploration of blockchain technology as a solution for online voting. This paper presents an innovative approach to online voting using blockchain, aiming to enhance the integrity, security, and transparency of the electoral process. Because of the decentralized, tamper-proof ledger that blockchain technology offers, every vote is reliably recorded and unchangeable. This study outlines the design and implementation …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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FoodieBot: A Conversational Food Ordering Chatbot Using Node.js and Microsoft Bot Framework
Abstract: This article delves into the development of a food order chatbot, leveraging Node.js alongside the Microsoft Bot Framework. The burgeoning popularity of chatbots within the food industry stems from their capacity to streamline the ordering process while simultaneously enriching customer experiences. In this study, we explore the implementation process, features, and advantages associated with crafting a food order chatbot, utilizing Node.js as the backend programming language and the Microsoft Bot …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 14–18 Read article
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Incremental Conductance Algorithm and Perturb and Observe Algorithm Reveals Key Insights into Their Comparative Analysis: A Review
Abstract: The maximum or more is a crucial aspect of PV systems to optimize energy harvesting from solar panels, which have been the focus of extensive research and implementation. This study presents a comprehensive comparative analysis of these two methods of evaluation to evaluate their performance and suitability for various operating conditions. The Perturb and Observe method, a simple and widely adopted MPPT algorithm, involves perturbing the operating point and observing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 9–16 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Overview of Recent Advancement of Nano Stent in Pharmaceutical Application
Abstract: Interventional cardiology has witnessed remarkable progress with the evolution of nanotechnology, leading to the development of nanostents. Nanostents, characterized by their nanoscale features and innovative materials, have emerged as a cutting-edge solution for addressing the limitations associated with traditional stent technologies. This thorough analysis examines the most recent developments in the design, manufacture, and use of nanostents, emphasizing how they may completely transform vascular interventions. The first section of the …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 22–43 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Clinical Profiles of Patients Presenting with Hypoglycemia in Emergency Department of Bir Hospital
Abstract: Hypoglycemia stands as a primary reason for visits to the Emergency Department (ED), ranking high among the most frequent and easily avoidable hormonal emergencies. The aim of this research is to investigate the occurrence of hypoglycemia and identify its underlying causes. As the number of diabetes cases rises, along with different methods of tightly managing blood sugar levels, the likelihood of hypoglycemia also increases. Given that extended periods of hypoglycemia …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 19–39 Read article
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Advancements in O-Glycosylation Techniques with Diverse Donor Molecules
Abstract: Since the early stages of carbohydrate chemistry, numerous researchers have employed alkynyl glycosyl donors as key reagents in glycosylation reactions. These donors have played a crucial role in facilitating the synthesis of glycosidic bonds, an essential aspect of carbohydrate-based compounds. Over time, various modifications and improvements have been introduced by different research groups to enhance the efficiency, selectivity, and sustainability of glycosylation processes. A major focus has been on designing …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 7–28 Read article
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Modeling Deformation Mechanisms of Horseshoe Tunnel Excavation In Layered Ground Using Flac 3D
Abstract: In the modern era of civilization, the transportation sector plays a pivotal role in a nation's development. Efficient transportation networks are essential for economic progress, and tunnels are particularly valuable in this regard, as they help reduce travel time and fuel consumption. With growing interest in underground infrastructure, researchers are increasingly focusing on tunnel-related studies. This paper examines the deformational behavior of a horseshoe-shaped tunnel constructed in layered soil, subjected …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 46–61 Read article
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Computational Fluid Dynamics and Composite Material Study on Scoop-Type Savonius Turbine for Train-Based Energy Generation
Abstract: This study investigates the feasibility of integrating a scoop-type savonius vertical-axis wind turbine (VAWT) on the rooftop of a moving train to generate renewable onboard power. The motivation stems from increasing demands for sustainable energy solutions and reducing reliance on fossil fuels, particularly in transportation. A two-blade savonius turbine, with dimensions of 0.4 m in diameter and 0.5 m in height, was modeled in PTC Creo Parametric 3.0 and analyzed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 566–580 Read article
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Transforming Hospital Environments: The Role of Sound Detection
Abstract: Hospitals are sanctuaries of healing, yet they are often paradoxically exposed to a pervasive, often underestimated threat: excessive noise. While internal hospital sounds pose their own challenges, the impact of external sounds – traffic, construction, sirens, and urban clamor – can profoundly compromise patient safety, recovery, and overall well-being. This article explores the critical role of advanced sound detection systems in mitigating this external acoustic intrusion, leveraging technology to create …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 28–40 Read article
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Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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Analysis for Pier of Railway Bridge
Abstract: The load-bearing capacity of a pier is determined by the combined effects of the load from the train and the self-weight of the girder it supports. The bending of the pier is influenced by its height, which necessitates a careful assessment of the pier's thickness across various girder spans and pier heights. This evaluation ensures that the pier can withstand the imposed loads while adhering to permissible deflection limits. By …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 37–43 Read article