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1194 articles for “performance analysis”
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Stilbenes: A Molecular Docking and ADMET Analysis Approach on an Emerging Resource for Scavenging Reactive Oxygen Species in the Field of Colon Malignancy
Abstract: Objective: Colon malignancy, also referred to as colon cancer, originates as precancerous polyps in the colon or rectum, which have the potential to thrive and progress into cancerous tumors over time. This study delves into various bioactive compounds (from natural sources like plants) to assess their potential efficacy in inhibiting colon malignancy as compared to conventional methods. Methods: The objective of this study was to employ computational methodologies to evaluate …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 29–38 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Emerging Trends in Civil Engineering: Sustainability and Digital Transformation
Abstract: Civil engineering has long played a pivotal role in shaping society’s infrastructure, focusing traditionally on construction, design, and the structural integrity of buildings, roads, and bridges. However, recent years have witnessed a profound transformation in the field, driven by the urgent need for sustainable practices and the rapid evolution of technology. This paper provides an in-depth analysis of the latest trends that are redefining civil engineering, with a particular emphasis …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 8–11 Read article
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Synthesis of Activated Carbon from Corn Cob and Factors Affecting its Adsorption and Desorption Efficiency of Cationic Brilliant Green Dye
Abstract: Extreme dye pollutants released from textile, leather, and pulp industries are becoming a major concern to the water. These pollutants are highly toxic to living things. The major objective of this study was to prepare low-cost and efficient activated carbon from corncob (CCAC) adsorbent through the H2SO4 activation method and characterize its suitability for removing brilliant green dye (BGD) from aqueous solution. The adsorption and desorption efficiency of the prepared …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 27–44 Read article
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Numerical Investigation of AA5053 Through Equal Channel Angular Pressing Technique: An Overview
Abstract: Equal channel angular pressing is recognized as the predominant method for bulk severe plastic deformation processing and has been employed for refining the grain structure in numerous metals and alloys. This study utilized finite element analysis to examine the processing of metallic billets through simple shear deformation. For the study, the die channel angle was chosen based on achieving the minimum energy consumption to induce maximum uniform strain. Among the …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 40–47 Read article
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Self-Healing Polymeric Composites Reinforced with Green Synthesized Nanoparticles
Abstract: The development of sustainable self-healing polymeric materials is critical for enhancing durability and service life in advanced engineering applications. In this study, zinc oxide (ZnO), magnesium oxide (MgO), and ferric oxide (Fe₂O₃) nanoparticles were green-synthesized using Allium cepa extract and incorporated into epoxy-based polymeric composites to improve mechanical, thermal, and self-healing properties. This bio-based synthesis is eco-friendly and safe alternative to harsh chemical techniques, utilizing natural antioxidants to stabilize the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 305–314 Read article
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Solar Tracking System and Battery Management
Abstract: This project focuses on optimizing renewable energy systems by combining a dual-axis solar tracking mechanism with a smart Battery Management System (BMS) to improve solar energy harvesting and storage. The system uses an Arduino Uno microcontroller and Light Dependent Resistors (LDRs) to track the sun's position, enabling the solar panel to adjust its orientation in real-time for optimal sunlight exposure throughout the day. At the same time, the integrated IoT-based …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Comprehensive Analysis of Advanced Methods, Materials and Technologies for Portable Water Purifier in Domestic and Industrial Applications
Abstract: Safe drinking water is still a major problem in developing countries, especially in areas with water scarcity, pollution or poor infrastructure. Portable water purifiers have come to the fore as solutions that are realistic to narrow this gap providing flexibility and accessibility in household and industrial environments as well. In this study, promising techniques, materials and technologies used in portable water treatment equipment design have been reviewed. We review important …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 8–19 Read article
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Harnessing the Potential of Virtual Instrumentation
Abstract: The Virtual Instrument (VI) uses custom software and hardware to create a user-defined measurement system, called a Virtual Instrument. Virtual instruments are similar to traditional instruments, such as multimeters, oscilloscopes, spectrum analyzers, and data acquisition systems. It has great flexibility, high performance, flexibility and low cost. Primarily, it consists of a personal computer or workstation, and Vi software such as LabVIEW, NI DAQmx, and MATLAB. This modular hardware includes data …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–15 Read article
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Control System for Off-Grid Multiple Hybrid Renewables
Abstract: This article focuses on designing a renewable energy control system for a household self-consumption network, combining solar and hydroelectric energy to meet the energy demand of a standard home. We conducted an exhaustive analysis of each energy source, evaluating parameters such as solar radiation, optimal tilt of photovoltaic panels, and conversion system efficiency. Equipment for this system is selected based on the characteristics obtained in the study. Hydroelectric energy is …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 20–34 Read article
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Advanced Water Purification Techniques for Sustainable Clean Water Management: A Comprehensive Review
Abstract: The growing global demand for safe drinking water, coupled with increasing pollution from industrialization, urbanization, and agricultural activities, has intensified the need for efficient and sustainable water purification technologies. Conventional water treatment processes often fail to remove emerging contaminants such as pharmaceuticals, microplastics, endocrine-disrupting compounds, and heavy metals. Advanced water purification technologies—including membrane filtration, advanced oxidation processes (AOPs), nanotechnology-based adsorbents, photocatalysis, electrochemical treatment, and bio-inspired purification systems—have emerged as promising …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 47–52 Read article
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Damage Evolution and Delamination Resistance in Polymer Matrix Functionally Graded Laminates
Abstract: Functionally graded laminates (FGLs) in polymer-matrix systems represent a promising pathway to enhance damage tolerance and delay delamination in advanced structural composites. In this study, we explore the mechanisms of damage initiation, propagation, and delamination resistance in polymer matrix functionally graded laminates (PM-FGLs) through a combined experimental–computational approach. Laminates with linear, exponential, and bio-inspired gradation profiles were fabricated using vacuum-assisted resin transfer molding (VARTM) and additive manufacturing techniques. Comprehensive mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 321–337 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Decoding Big Data: A Practical Comparison Between Hadoop and Spark
Abstract: This paper conducts a comprehensive comparison of Apache Hadoop and Apache Spark, two essential frameworks in the big data era. The rapid expansion of data possesses challenges in terms of volume, variety, and velocity, which necessitate advanced processing solutions. Hadoop, utilizing its MapReduce paradigm, provides scalable and fault-tolerant storage, whereas Spark, built upon Hadoop, introduces in-memory processing to increase speed and flexibility. This study includes a detailed examination of their …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 15–23 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Melanoma, a fatal type of skin cancer, is a major global health concern. For better patient outcomes, early and precise detection is essential. A branch of artificial intelligence called deep learning has demonstrated encouraging outcomes in medical image analysis, particularly the identification of skin cancer, in recent years. We present a new method for detecting melanoma skin cancer in this paper by utilizing the ResNet-50 architecture, a deep convolutional neural …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 · pp. 1–9 Read article
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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Harnessing AI in the library of IITs: A Journey Towards Automation to Intelligence
Abstract: This study carries out an in-depth analysis of the impact and execution of Artificial Intelligence (AI) technologies in one of the noteworthy libraries in the twenty-three (23) Indian Institutes of Technology (IITs). It would be pertinent to mention that there is hardly any doubt that one of the most radiating technologies in the field of computing technologies is Artificial Intelligence which in turn is rendering a profound impact on the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 95–105 Read article
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Literature Review and Research Gaps in Power Quality Enhancement: From Conventional Methods to Intelligent Solutions
Abstract: Power quality (PQ) has become a critical concern in modern electrical power systems due to the rapid integration of renewable energy sources, proliferation of power electronic devices, and increasing sensitivity of loads. This paper presents a comprehensive literature review and research gap analysis of power quality enhancement techniques, ranging from conventional approaches to emerging intelligent solutions. Traditional methods, including passive filters, capacitor banks, and synchronous condensers, have been widely employed …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 38–80 Read article
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Physicochemical Transitions and Polymerization Dynamics in Multi-Generational Dentin Adhesives: A Critical Review of the Resin-Dentin Composite Interface
Abstract: Adhesive dentistry has undergone a transformative refinement over the past three decades, transitioning from technique-sensitive, multi-step etch-and-rinse protocols to streamlined universal formulations. This narrative review critically synthesizes evidence from thirty peer-reviewed investigations to evaluate the evolution of dentin bonding agents from the fourth through the eighth generations. The analysis places particular emphasis on the physicochemical dynamics of the resin-dentin interface, including interfacial bond strength metrics, marginal integrity, and microleakage behavior. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 209–228 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article