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916 articles for “experimental analysis”
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AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation
Abstract: Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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A Study on Fracture Sem Analysis by Optimization of FSW When a Composite Material Al 6061 Mixed with Fly Ash is Done with Cooper Using Anova Method
Abstract: The current study aims to examine how different parameters in friction stir spot welding influence hardness and tensile strength, while identifying the most suitable parameter combinations to enhance the overall quality of the fabricated components. The experimental work involves joining dissimilar materials, where one specimen consists of Aluminum alloy 6061 reinforced with 10% fly ash, and the other is a copper alloy. Various process conditions are altered during testing to …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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AN EXPERIMENTAL INVESTIGATION ON SURFACE ROUGHNESS OF LASER BEAM MACHINING OF ALUMINIUM ALLOY
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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Investigating Flexural Behavior in Cyclic Loading of Fly Ash-Based Green Concrete
Abstract: The construction industry is increasingly embracing sustainable materials, and geopolymer concrete (GPC) has emerged as a promising eco-friendly alternative to Ordinary Portland Cement (OPC). Derived from industrial by-products such as fly ash, GPC offers significant environmental advantages by reducing greenhouse gas emissions associated with conventional cement production. This study explores the monotonic and cyclic performance of fly ash-based GPC, with a focus on its mechanical and structural behavior. Key properties, …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Therapeutic Potential of Plant-Derived Phytochemicals in Targeting Receptor Pathways Related to Non-Enzymatic Glycation: A Meta-Analysis
Abstract: Background: Non-enzymatic glycation, where reducing sugars react with proteins, lipids, and nucleic acids, contributes to various pathological conditions, such as diabetic complications and cardiovascular diseases. This process is facilitated by the receptor for advanced glycation end-products (RAGE), which is pivotal in driving inflammation and causing tissue damage. Objective: This meta-analysis evaluates the effects of plant-derived phytochemicals on RAGE expression and associated signaling pathways, assessing their therapeutic potential in glycation-related diseases. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 60–73 Read article
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Heavy Metal Removal from Textile Industrial Effluent using Banana Exocarp Derived Cellulose Acetate Graphene Nanocomposite Membranes
Abstract: The disposal of textile effluent is responsible for serious human health concerns and above all environmental concerns to all kind of species. This indicates that there is immediate and urgent need of emerging, efficient with sustainable recycling technologies. In this paper, banana exocarp as agriculture-based waste, in terms of substrate was utilised as major raw material. The extracted cellulose from the substrate with homogeneous acetylation process, transformed into cellulose acetate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 51–62 Read article
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Automatic annotation of reading using Speech Recognition: A pilot study
Abstract: Speech is a time-varying continuous stimulus. Analyzing a speech sample is generally done by transcribing it which can be considered to be a time-consuming process. A time annotated transcription is required for a detailed evaluation of the speech sample to study the language and prosodic features. The focus of this paper is to develop a tool to automatically segment audio recordings into silences and chunks of speech corpus and further …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 2, 2018 · pp. 25–29 Read article
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Evaluation of Thirteen Selected Tomato (Lycopersicon esculentum Mill) Cultivars for Morphology and Fruit Yield in Southwest Nigeria
Abstract: Assessing the morphology and fruit yield of some grown tomato (Lycopersicon esculentum Mill) cultivars from southwestern Nigeria is needed to identify and promote highly performing varieties for tomato industry. Thirteen tomato cultivars predominantly grown by farmers were collected from farmer’s field across five states in the southwest region of Nigeria. Multisampling procedure was adopted to randomly and purposively select the respondents from the five states. Seedlings of the cultivars were …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 3, 2016 · pp. 1–7 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Experimental Investigations to Improve the Electrical Characteristics of Nitride-Based Nanoelectronic High Electron Mobility Transistors
Abstract: In this work, the DC and RF performances of conventional nanoelectronic high electron mobility transistor (HEMT) are compared with those of two individually modified HEMT structures in a nano-scale regime. All simulation results are produced by the SILVACO- ATLAS physical simulator according to the performed designs of HEMT structures. In each of these HEMT structures, the formation of quantum well is demonstrated at unbiased condition. In the DC analysis of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 1, 2021 · pp. 14–30 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Preservation of Cysteine Protease Activity in Oleoresin Extracts of Traditional Spices Aided by Modelling and HPLC Studies
Abstract: In the present study, Zingiber officinale, Allium sativum and Phyllanthus emblica were pretreated with sodium ascorbate and dried using electric tray drier at 65°C. Six different models were applied to the drying experimental data and the best fit model for each sample was determined. The dried samples were then used for the extraction of oleoresin, followed by HPLC analysis. The study elucidates the advantage of sodium ascorbate pretreatment, drying treatment …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 3, 2020 · pp. 11–16 Read article
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Development and Characterization of Aluminum Alloy Reinforced with Hematite Particulate Composite for Automotive Application
Abstract: This study reviews the characteristics of aluminum alloy with Hematite particulate composite reinforced at different wt. % prepared by different casting methods through which we can achieve required hardness, wear resistance, microstructure and life extension of an automotive parts. This paper describes the chemical composition of different aluminum alloys and Hematite. SEM analysis is studied in order to determine the nature of the structure and Design of Experiments (DOE) using …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 7–11 Read article
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Design and Development of Electromagnetic Braking System Based on Electromagnetic Induction and Eddy Current
Abstract: In this paper, electromagnetic braking system has been developed that ensures passenger’s, driver’s and other road user’s safety and comfort. Most of the conventional braking system like mechanical, hydraulic, pneumatic have certain limitations. In mechanical brake, erosion of the mechanical pads is carried out by frictional force and requires periodic replacement of the bearing. Fluid leakage in hydraulic and pneumatic could lead to brake failure and reduces the effectiveness of …
Published in Trends in Machine design · Vol. 9, Issue 3, 2022 · pp. 9–23 Read article
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Experimental testing of spring for absorption of sudden impact on spring (Transmissibility)
Abstract: Shock absorber is used to sustain & absorb the shock & jerk during working / running condition of machine / Vehicle. This test rig is used to study performance of shock absorber at different operating speeds. This paper presents systematic Experimental investigations increasing dynamic load suspension system (coil spring). One of the major differences of this study from previous work is that it includes parametric sensitivity analysis in order to …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 28–32 Read article
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AI-Optimized Biodegradable Polymer Composites for Medical Applications
Abstract: The value of biodegradable polymer composites in the medical practice has been massive as the composites may be deployed to provide temporary structural support, and they are also safe to degrade within the human body. However, the conventional material design process is trial and error, which is ineffective and inefficient. The article proposes a hybrid model involving experimental characterization, as well as an artificial intelligence (AI)-based model, to optimize biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Mechanical Characterization and Machinability Optimization of Stir-Cast Al6061–SiC Metal Matrix Composites
Abstract: This study presents the fabrication, mechanical characterization, metallurgical analysis, and machinability optimization of Aluminum 6061 reinforced with Silicon Carbide (SiC) metal matrix composites (MMCs) at three weight fractions: 5%, 7.5%, and 10%. Composites were manufactured using the stir casting technique, followed by comprehensive mechanical testing (tensile, hardness, and impact), optical microscopy, and scanning electron microscopy (SEM). Machinability was assessed through turning experiments on a lathe using an L9 Taguchi orthogonal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 833–848 Read article
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Study on the Variations in Physicochemical Property Concentration in a Contaminated Fresh and Salt Water
Abstract: In this research, the dispersion of crude oil contaminated was subjected into laboratory observations and results were recorded. These results were used to develop and adopt mathematical models for a proper engineering experimental practice. 1.5m3 volumes of fresh water and salt water were filled in two tanks of equal fit at the same intervals along the tanks and depth, where samples were collected for the purpose of analysis of physicochemical …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Machining-Induced Surface Integrity Optimization of High-Carbon Alloy Steel for Enhanced Polymer–Metal Composite Interface Performance
Abstract: The functional performance and structural reliability of polymer–metal hybrid composites are strongly influenced by the surface integrity of metallic substrates used for interfacial bonding and load transfer. In this context, machining-induced surface characteristics play a critical role in determining adhesion behavior, dimensional stability, and mechanical compatibility within composite architectures. The present study investigates the hard turning performance of a newly developed high-carbon alloy steel intended for composite-integrated structural applications, with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1531–1546 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article