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212 articles for “analytical evaluation”
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CTCHFA: Discovery of Circulating Tumor Cells in Metastatic Breast Cancer and Nonmetastatic Cancer by using Novel Hybrid Hierarchical Clustering Algorithm in Firefly Distance
Abstract: AbstractBlood testing for circulating tumor cells (CTCs) has emerged as one of the highest fields in cancer research. CTC detection are an early gene marker of reaction to systemic therapy, whereas their molecular characterization has a strong field that can be translated to individualized targeted treatments and spare breast cancer (BC) patients from unnecessary and ineffective therapies. Genomic research regarding CTCs monitoring for BC is limited due to the lack …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 9–18 Read article
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Preparation, Categorization and Anticancer Study of Novel Bicyclic Compounds from Various Types for (Five and Six)- Membered Ring
Abstract: The characteristics of ring systems change in the presence of functional groups, but in some cases, elements that are considered functional groups can be classified within the same ring. Compounds that contain only carbon and hydrogen are called homogeneous rings, while those that contain other elements are called heterogeneous rings. The atom substituted in place of the carbon atom is referred to as a heteroatom. Generally, the heterocyclic atom is …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 18–30 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis
Abstract: Abstract The aim of present study is to introduce new logical method to select critical low carbon supply chain practices (LCSCP) having integrated and performance analysis under different environments. The manufacturing companies in India are having lots of loads to reduce environmental pollution. Suitable application of LCSCP ensures proper utilization and also motivates companies to take global pollution-based problems. Therefore, there are few techniques available for the analysis of LCSCP …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 1, 2019 · pp. 29–39 Read article
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Design and Analysis of Advanced Body Armour
Abstract: Study on wounding patterns reveals that injury of upper and lower extremities due to ballistic projectiles accounted for -70% of all injuries which occur on the battlefield. This is due to the fact that currently employed body armours are rigid in nature, making it difficult for bending without affecting performance. An extensive review of the development and evaluation of cutting-edge body armor systems is provided in this paper. It examines …
Published in Trends in Machine design · Vol. 10, Issue 2, 2023 · pp. 42–47 Read article
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Online Open Access E-Journals in LIS: An Analytical Study
Abstract: ABSTRACTE-resources are part of information technology. The last one decade has seen a great boom in scholarly e-resources. The revolution in information and e-resources is bringing about significant changes everywhere. E-journals have been playing substantial role in information systems. The development of e-journals during recent years has given libraries a powerful platform to support learning and research with availability of both forms of journals in the library. It has become …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 3, 2012 · pp. 28–35 Read article
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Green Finance and India’s Climate Commitments: Aligning Financial Systems with Sustainable Development Goals
Abstract: India’s commitment to addressing climate change, as reflected in its Nationally Determined Contributions (NDCs), net-zero ambitions, and alignment with the United Nations Sustainable Development Goals (SDGs), has placed green finance at the center of the country’s sustainable development agenda. Green finance involves directing capital and investment flows toward projects and initiatives that are environmentally sustainable. It supports efforts to reduce climate-related risks, enhance resilience to environmental changes, and promote economic …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 49–54 Read article
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Quasi-Static Thermal Stress Analysis in a Thin Circular Cylinder Due To Internal Heat Generation Under Transient Temperature Conditions
Abstract: This paper is concerned with inverse quasi-static thermal stress analysis in a thin circular cylinder due to internal heat generation under transient temperature conditions. The internal heat generation is modeled as a cylindrical surface heat source located in the annular region along the axial length of the cylinder. This source is placed concentrically inside the cylinder and begins releasing heat spontaneously at a specific point in time. The thin circular …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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Design and Validation of Low Power High Speed area effective comparator using CMOS Technology
Abstract: The most fundamental arithmetic comparisons in a digital comparator involve comparing two numbers that are greater than, less than, or equal to each other. While doing enormous level arithmetic comparisons, a digital comparator needs more space, which results in higher power consumption and a delayed response. This can be solved by using N-bit comparator with two modules using 45GPDK CMOS Technology. An N-bit comparator can operate at extremely high speeds …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 20–29 Read article
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Physico-Chemical Analysis of Soil Quality Parameters in Tamilnadu Region An Analytical Approach Towards Life on Land -SDG 15
Abstract: This study examines the physico-chemical properties of soil in Tamilnadu region, supporting SDG 15’s framework for sustainable land management. Soil, as a vital non-living component, plays a crucial role in ecosystem functioning by facilitating nutrient cycling, retaining water, and supporting habitats for a wide range of organisms. The research analysis key physical parameters (colour, texture, structure, porosity, density, consistency, temperature) and chemical properties, focusing on both macro and micronutrients. Various …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 9–15 Read article
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Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies
Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analytical Investigation on Structural Optimization of Commercial Building Using Braced Frames and Masonry Diagonal Strut
Abstract: Enhancing the overall stability and structural performance of commercial buildings are important in particular regions which are prone to various seismic activity. This research emphases on enhancing the seismic performance of commercial buildings by integrating masonry diagonal struts with concentric braced frames. The main aim is to ensure structural safety of a building while also keeping the design economical and efficient. In this study high-rise buildings with 12, 16, and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Prediction of Depth-Induced Stress Distribution and Maintenance Cost Implications for Submerged Structural Components
Abstract: This study investigates the influence of water depth on stress distribution and structural integrity of submerged mechanical components . Structural models fabricated from mild steel, stainless steel, carbon steel, and copper alloy were examined under hydrostatic loading corresponding to water depths between 30 cm and 150 cm. Results indicate that normal and shear stresses increased proportionally with depth due to intensified hydrostatic pressure. Mild steel exhibited the highest stress concentrations, …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 29–35 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article