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207 articles for “analytical evaluation”
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Raman Spectroscopy for The Determination of Relative Crystallinity of Carbon Fibers
Abstract: Analogous to X-ray diffraction technique, the light scattering technique discovered by Sir CV Raman has great potential in quantifying the crystallinity of new materials, like the highly crystalline pitch based carbon fibers (NX90 and NX100). For comparison the Raman spectra of polyacrylonitrile based carbon fibers (T700SC) were also recorded. From the Raman spectral analysis, it was found that the pitch based carbon fibers exhibit far far higher degree of crystallinity …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 30–38 Read article
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Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
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Characteristics of Novel Geopolymer Composites Synthesized from Red Mud and Diatomaceous Earth in Autoclave Conditions without Using Alkaline Activators
Abstract: The geopolymer-based materials have been studied and developed since the last decades of the 20th century and applied in many fields of life. The production of geopolymer also has many different levels of technology from low to high technology which depends on quality and the applied fields of products. The geopolymer composites are also considered as friendly environmentally products related to low energy consumption production technology; reuse industrial wastes as …
Published in Journal of Polymer & Composites · Vol. 8, Issue 3, 2020 · pp. 81–91 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Evaluation of Effect of Seeds and Downloaders on the Performance of BitTorrent Network using Markov Chain Modeling
Abstract: AbstractIn this paper, we are using existing Markov chain model to study the effect of count of seeds and downloaders on transition rates, which is an important parameter in Markov chain modeling. As of now, many analytical modeling techniques are used to evaluate the performance of BitTorrent network and Markov chain model is found to be an effective, accurate and extendible one. Many researchers have studied BitTorrent networks to evaluate …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 1, 2016 · pp. 30–37 Read article
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Effect of Fragment Size and Contention Window on the Performance of IEEE 802.11 WLANs
Abstract: Wireless communications is, by any measure, the fastest growing segment of the communications industry. The IEEE has standardized the 802.11 protocol for wireless local area networks. The IEEE 802.11 standard has defined two different access mechanisms in order to allow multiple users to access a common channel, the distributed coordination function (DCF) and a centrally controlled access mechanism called the point coordination function (PCF). DCF is a carrier sense multiple …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 2, 2016 · pp. 6–12 Read article
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Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 33–38 Read article
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The Influence of Data Analytics on Sports Performance
Abstract: Data analytics has drastically changed how we evaluate, improve, and maintain athletic performance. Coaches used to use subjective observations as well as only limited numbers of statistics to consider player performance; however, tracking technology is now advancing at a fast pace. There are now very large amounts of real-time data available on athletes in regards to speed, movement patterns, fatigue, efficiency, etc. This enables all teams to more accurately make …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 15–21 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Investigation of the Effects of Solpawa SBR-X TM Doses on Total Petroleum Hydrocarbon in Loam Soil at Different Depths
Abstract: Laboratory trials of environmental remediation products bring the hope of inventing such products to reality for many of today’s intractable environmental pollution conditions, paving the way for the field trials and subsequent large-scale field application. This laboratory study was conducted as the first phase of a 2-tiered adaptive trials of Solpawa® Bioremediation System (Solpawa-SBX) funded by the Nigerian Content Development and Monitoring Board (NCDMB). The study investigated the effectiveness of …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 64–72 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Analysis of Power Quality Disturbances in Distribution Systems with Renewable Energy Integration
Abstract: The growing integration of renewable energy sources within the electrical distribution systems has greatly altered the working dynamics of the contemporary power grids. The introduction of intermittent and nonlinear sources (solar photovoltaic and wind energy systems) leads to a wide range of power quality disturbances, however. The current paper includes the in-depth examination of the problem of power quality in the distribution systems with the integration of renewable energy. The …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article