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1133 articles for “Application analyses”
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Evolution of CSS Frameworks: From Bootstrap to Utility-First Design
Abstract: CSS frameworks have become integral to modern web development, offering developers predefined styles and components that simplify the design process, ensure visual consistency, and accelerate deployment. Over the years, these frameworks have evolved significantly: from traditional component-based architectures, such as those seen in Bootstrap and Foundation, to more flexible utility-first methodologies like Tailwind CSS. This study explores the evolution of CSS frameworks by highlighting the contrasting approaches of these widely …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Application of Priestia Megaterium in the Bioremediation of Petroleum Hydrocarbon Contaminated Environments
Abstract: Petroleum pollutants pose a serious and persistent threat to environmental ecosystems, particularly affecting soil and water quality. Effective and sustainable remediation strategies are crucial to mitigate their impact and safeguard environmental health. In this context, bioremediation—using microorganisms to degrade harmful contaminant —emerges as a promising and eco-friendly approach. The present study explores the biodegradation capabilities of the bacterium Priestia megaterium, a species previously recognized for its ability to break down …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Aluminium-Doped Zinc Ferrite Nanoparticles Synthesized by Combustion Method for Polymer Composite Applications
Abstract: ZnFe₂₋xAlₓO₄ (x = 0 and 0.5) nanoparticles were synthesized via a combustion method owing to its simplicity, cost efficiency, and ability to produce highly crystalline nanomaterials. Powder X-ray diffraction (XRD) analysis confirmed the formation of a single-phase cubic spinel structure without detectable secondary phases, indicating high phase purity. The average crystallite size was estimated to be in the range of 14–20 nm, confirming the nanocrystalline nature of the samples. Field-emission …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 272–282 Read article
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Rubber Materials: Synthesis, Key Properties, and Cutting-Edge Applications
Abstract: Because of its special blend of flexibility, durability, and ability to adapt, rubber and rubber products have long been essential to many different sectors. The synthesis processes used to produce rubber are discussed in this overview, with a focus on developments in polymer chemistry and processing approaches that improve material qualities. Important characteristics, including tensile strength, resilience, and chemical resistance are brought out, highlighting their significance in a variety of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 12–23 Read article
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Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping
Abstract: Road accidents pose a significant threat to public health, resulting in millions of injuries and fatalities annually. With an estimated 1.2 million lives lost and 20 to 50 million people injured each year, the escalating trend of traffic accidents demands urgent attention. To address this issue, specialists utilize advanced algorithms such as random forests to analyze historical road crash data, aiming to predict accident hotspots. By identifying patterns and trends …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 39–44 Read article
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CFD Analysis: Double Pipe Heat Exchanger, Latent Heat Storage, and BIM-CFD Integration
Abstract: This is a review work covering four research papers. Heat exchangers transport thermal energy across fluids; research in SolidWorks 2014 compared flow simulation to the effectiveness-NTU approach. Slow PCM charging/discharging is a global concern in latent heat storage; research on the influence of flow rate and temperature on melting and solidification durations discovered efficiency in a triple tube heat exchanger design. Advances in computational fluid dynamics for forecasting separated flows …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Evaluating Fiber Volume Fraction and Defects in Fiber Reinforced Polymer Composites for T Joint applications
Abstract: Fiber-reinforced polymer (FRP) composites have been integral to industries such as aviation, aerospace, shipbuilding, and automotive due to their strength, durability, lightweight, and corrosion resistance. This study examines the production and microstructural analysis of polymer composites using FRP and manual lamination methods. While manual lamination is quick and economical, it relies on operator skill, resulting in low mechanical properties. Microstructure analysis via 3D optical and scanning electron microscopes revealed that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1222–1235 Read article
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Engineering Sustainable Interior Materials: Performance Analysis of PLA Composites Reinforced with Banana Stem Fiber and Spent Coffee Grounds
Abstract: This study presents the development and classification of eco-friendly composite panels reinforced with spent coffee grounds (SCG) and banana stem fibers (BSF) for interior applications. Hybrid composites were fabricated using polylactic acid (PLA) as the matrix with a constant filler loading of 30 wt%, varying BSF:SCG ratios (70:30, 60:40, 50:50). Mechanical testing revealed that the 70:30 composite exhibited the highest tensile strength (42 MPa) and flexural strength (58 MPa), whereas …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 94–105 Read article
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IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute- intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered …
Published in Journal of VLSI Design Tools and Technology Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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Fluid-Structure Interaction Simulation of Parachute by Eulerian-Lagrangian penalty method
Abstract: In general, modeling and simulation of a model consisting of fluid and solid combinations has been considered difficult, and it has become impossible in terms of computer dependencies and accuracy to be analyzed by Fluent or other programs. The parachute evaluation process, which is historically based on a large amount of experimental data, necessitates many falling experiments. These tests can be costly and time-consuming, and they don't always allow for …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Orcad P-spice Modified Switches for Electrical and Electronic Circuits
Abstract: Voltage dependent switch and Current dependent switch are extensively used to obtain open/short circuit in various networks for various applications. PSPICE /OrCAD software analog behavioral modellings options and Spice dependent sources are used to obtain control equivalent circuits for switches (P-spice built-in models) to be used for two types of applications. Different circuits (at DC, time-domain), and Spice files are described to simulation circuits with analyses. The following features are …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 27–45 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 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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Entangled Shields: Securing Digital Systems in the Quantum Cryptographic Revolution
Abstract: Quantum computing utilizing principles of superposition and entanglement is poised to revolutionize the computational landscape, presenting unprecedented challenges and opportunities across various disciplines. Among these, cryptography stands at the forefront due to its reliance on computational hardness assumptions, which Quantum algorithms, such as Grover’s and Shor’s, can efficiently exploit. This study explores theoretical foundations and practical applications of quantum-safe cryptographic primitives, such as lattice-based cryptography, hash-based signature schemes, code-based systems, …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
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Comprehensive Analysis of Modern IoT Security Challenges and Solutions
Abstract: The Internet of Things (IoT) is rapidly transforming various industries by enhancing the human quality of life (QoL) through its wide-ranging applications. From healthcare to automotive, agriculture, education, and numerous other sectors, IoT has become essential for enabling smarter, more efficient systems. However, with its heterogeneous nature, IoT introduces a multitude of security challenges, as different IoT applications often function under varying frameworks and protocols. Consequently, addressing and studying IoT …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 34–39 Read article
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Impact of Phosphorus Application Rates on Yield and Yield Components of Common Bean (Phaseolus vulgaris L.) Varieties in Relation to Water Resources at Yabello, Southern Oromia, Ethiopia
Abstract: Common bean is a key legume crop with significant economic importance in Ethiopia, particularly in the southern region of Oromia. One of the primary constraints to common bean productivity in this region is the issue of soil fertility, which is exacerbated by water scarcity. This study was conducted to assess the impact of phosphorus (P) fertilizer rates on common bean growth and yield, as well as to identify sustainable management …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 20–31 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article