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1888 articles for “model analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Analytical influence of soil-structure-interaction on structural performance by using ETABS
Abstract: Soil conditions have a great deal to do with damage to structures during earthquakes. Hence the study on the energy transfer mechanism from soils to buildings during earthquakes is critical for the seismic design of multi-story buildings and for upgrading existing structures. Thus, the need for research into soil–structure interaction (SSI) problems is greater than ever. Moreover, recent studies show that the effects of SSI may be detrimental to the …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 3, 2018 · pp. 1–13 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Sustainability in Requirement Analysis and Quality Assurance: An Improved and Enhanced SDLC
Abstract: AbstractIn each and every field of today’s world, information technology has established its remarkable and unavoidable footprint. Along with all its positive side, some negative issues are also associated with it. The objective of this paper is to highlight some major issues and their adverse impact on society and environment. This paper has also analysed the role of sustainability in software engineering and how sustainability can enhance software engineering process …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 28–31 Read article
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A review of Autonomous Maintenance System using Weighted product method (WPM) method
Abstract: Autonomous maintenance is a method in manufacturing, which Dedicated to machine operators Maintenancetechnicians Believing, basic maintenance Assigns responsibility for tasks. Objective of this thesis Finding the best locationAutonomous Maintenance System Weighted product method (WPM). This paper is the a weighted product for solving the routing decision problem Model (WPM) is used. Every Dynamically assign weights to criteria This proposed scheme Considers the relevant valuation method for Database Management, Data Storage, …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 26–34 Read article
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A Feasibility Analysis on New Drainage Channel to Control Flooding in Southwest Chennai Using Hydraulic Model
Abstract: Flood Management plays a major role in minimizing the socio-economic loss in a watershed. In the urban context, flood is due to uncontrolled settlements of migrated population along the length of surplus carrying channels. This study focuses on feasibility analysis of existing drainage channel and proposed drainage channel network as structural management measure for a watershed, proposed by public work department of Chennai to reduce the impact of flood. In …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 1, 2015 · pp. 1–7 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Enhancing Upper Limb Rehabilitation: Workspace, Singularity and Structural Analysis of an Adaptive Two-Link Planar Manipulator
Abstract: The current shortage of therapists and caregivers who assist individuals with physical disabilities at home is anticipated to worsen in the future. Rehabilitation for upper limb exercises conducted by physical therapists is both time-consuming and expensive. This paper introduces a lightweight two-link planar device with revolute joints designed for upper limb rehabilitation. The primary focus is on the end-effector setup, evaluating its potential to enhance rehabilitation techniques. The manipulator's design …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 162–174 Read article
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Investigation on Thermal and Modal Analysis of Brake Disc Made of SS410 And SS304 Using ANSYS
Abstract: The Primary purpose of the investigation is to investigate the vibration and noise that are present in the braking system. As a result of the application of braking force, the kinetic energy of the vehicle was transformed into heat, sound, and vibrational energy. The dynamic structural characteristics of the components that make up the braking system are closely linked to the modal behaviour, which refers to the vibration modes that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 346–358 Read article
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Advancements in Electromechanical Modeling for Energy Harvesting and Actuators in Robotics and Design Engineering
Abstract: This article examines the expanding field of electromechanical modeling, highlighting the integration of energy harvesting, actuator behavior, and magnetic/electromagnetic analyses in the design and production of electromechanical systems. It discusses the application of the Galerkin method for modeling intricate vibrations and torque generation, with a particular focus on its use in actuators for robotics and induction motors. Significant advancements in energy harvesting methods, especially those utilizing mechanical vibrations, have led …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 21–25 Read article
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HEC-HMS Based Estimation of Rainfall Runoff Relationship in Central Highlands of Ethiopia, a Case Study in Beressa Watershed
Abstract: Rainfall and runoff are the most frequently used events in hydrology. Calculating of a flow at the outlet of river is vigorous for a number of hydrologic studies like water resource management and flood forecasting. This study supported out to estimate rainfall-runoff relation in Beressa watershed. HEC-HMS model is used to pretend rainfall-runoff process and to apply the rainfall-runoff analysis by using SCS_CN method in Beressa Watershed. A physical based …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 40–63 Read article
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Analysis of Heat Transfer in a Heat Exchanger with Triangular Fins Using Finite Element Modeling
Abstract: The influence of radiation and convection on a catalytic reactor's triangular heat exchanger fins are examined. Heat escapes from the surface by radiation and convection having being transported by conduction throughout the fin. Convection and radiation enable the fin's tip to lose heat, whereas the base of the fin is kept at a constant high temperature. One of the walls is taken for consideration because of its symmetry and ease …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 10, Issue 3, 2023 · pp. 16–23 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
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Three-Dimensional Finite Element Modeling Study of Stress Distribution in Calcaneal Fracture
Abstract: The calcaneus is one of the biggest load-bearing tarsal bone in human body and therefore, many authors stress the importance of its biomechanical modeling and analysis in several aspects. We predicted possible fracture lines’ characteristics throughout the reconstruction of three-dimensional finite element modeling from CT slices and biomechanical analysis of stress state within talo-calcaneal complex, and its clinical validity was identified by comparing with radiographic/intraoperative findings. We reconstructed the 3-D …
Published in Research and Reviews : Journal of Surgery · Vol. 10, Issue 2, 2021 · pp. 11–34 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Evaluation of Different Movement Models and Routing Protocols in VANET
Abstract: Understanding the mobility characteristics is important for designing and analyzing of routing schemes for VANET (Vehicular ad hoc Network). It’s also important for the VANET, where node movement is used for message transmission. Movement is an important task in VANET due to the uncertain mobility and intermittent behavior of the nodes. Most of the research work in VANETs has been done in the area of routing and forwarding. In this …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 37–40 Read article