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1916 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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An Integrated Autonomous Rover-Drone System for Intelligent Exploration and Environmental Monitoring
Abstract: This paper presents a hybrid autonomous exploration platform integrating a ground rover and aerial drone, enhanced by swarm intelligence and a custom-trained YOLO V8 object detection model. The rover is equipped with GPS, IMU, and environmental sensors (DHT11, MQ135, BMP180), while the drone performs real-time aerial mapping and obstacle prediction. A YOLO V8 model, trained on 500 annotated terrain images (six classes: rocks, pits, trees, water, animals, vegetation), achieves a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 43–61 Read article
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Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles
Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article
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Review on Basics of Computer Vision and Its Applications
Abstract: A wide range of processes that include the representation of visual perception are studied and analyzed in the domain of computer vision. The domain also comprises of various techniques such as image processing, geometric modelling, pattern classification, etc. The applications of computer vision have a range from hospital room to manufacturing industries and up to the surface of Mars. In this paper we aim to provide an overview of the …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 2, 2017 · pp. 33–40 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Mathematical Modelling of an Unbalanced Rotor Subjected to Transverse Vibrations
Abstract: The static and dynamic balancing of a rotor plays a very important role in deciding the life-span of any turbo-machinery which is running at a very high speed. The major problems which face during the running of turbo machineries are unbalancing of the rotor. Rotor unbalance may be due to wrong selection of the manufacturing process, method of manufacturing, wear and tear of rotating component, thermal deformations, deposition of material …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 9–16 Read article
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Vision Based Gesture Recognition Techniques: A Review
Abstract: With the ever-growing use of computers in the society, it is clearly seen that present popular mode of interactions with computers is mouse and keyboard. Mouse and keyboard will become an inconvenient way to convey information to the computers. Nowadays there are intelligent systems in which the flow of information takes place without any physical contact. The vision based (camera) gesture recognition has the potential to be a natural and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Insilico Study Showing the Chemical Properties and Interaction between Auxin-Binding Protein and Auxin-Responsive GH3-8 Protein in Rice
Abstract: Auxin plays an important role in the plant growth. There are different auxin binding and auxin responsive proteins which bind and interact with auxin hormone and helps for plant development. Two different rice proteins considered for study, one protein binding to auxin and another is the auxin responsive protein. The Nuclear magnetic resonance (NMR) crystallographic structures of both the proteins are not available at Protein Data Bank (PDB). So the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 3, 2014 · pp. 24–30 Read article
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MODELLING HETEROGENEOUS POROSITY IN ALLUVIA PLAIN DEPOSITION IN DELTAIC FORMATION
Abstract: Abstract Porosity of soil are basically determine for various purpose, but this papers monitor degree of porosity in alluvia plain deposition under heterogeneous lithostratification, the study examine the predominant deposition of heterogeneous porosity in alluvia plain, such condition were observed in deltaic environment, such heterogeneous degree of porosity will definitely affect other engineering soil properties, this paper try to effectively investigate and determination of total evaluation for such heterogeneous porosity …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 1–10 Read article
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A Novel Approach Integrated Dc To Dc Fast Charging Module
Abstract: This paper presents a wide variation of input dc voltage. It is a “step-up” inverter, meaning that only one power stage works at high frequency in order to achieve minimum switching loss. When input dc voltage is lower than the magnitude of the ac voltage, it is a voltage-source inverter, and on it is current-source inverter in the other mode. The leakage current caused by the capacitance can be reduced …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 26–32 Read article
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Computational Modeling on Behavior of Annular Stone Column with Variation of Parameters in Stratified Soils
Abstract: Many studies made reports on the soft soil improvement by the application of stone columns.Ordinary stone columns are installed by vibro-replacement method in the field to be get compacted. The material requirement will be based on diameter of column and encasement around the column can be provided to get more loading ability. In this study, the modification of stone column by changing its structure from solid stone column to hollow …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 3, 2022 · pp. 9–17 Read article
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Additive Manufacturing of Polymer-Based Advanced Composites: Mechanical Properties and Performance Evaluation
Abstract: Fabrication of large-scale and geometrically complex polymer-based advanced composites via fused deposition modelling (FDM) has been shown to be a promising technology for the production of such materials, however there are challenges in using short carbon fibre-reinforced polylactic acid (CF-PLA) which include obtaining high mechanical performance and maintaining dimensional accuracy with dynamic robot motion and complex interactions occurring between process parameters. The conventional approaches are mostly static feed rates or …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1335 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Proportion Tests Applied in Assessors’ Selection Under Assumption Break: The Cases of Sensory Fatigue and Learning Process
Abstract: Triangle trials are commonly employed in panelist selection, describing a Binomial distribution. However, assessors can fatigue or develop sensitivity after many trials, which violate constant proportion assumption. This violation could affect some tests obtained from normal distribution interval estimators (TN1, TN2 and TN3), F distribution (TF), Sequential Test (TS) and Poisson approximation with quantile (TP). To evaluate this tests performance, Monte Carlo simulations were performed for 1000 assessors through 5, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 1, 2021 · pp. 15–26 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Drug Discovery and Design: Focus on computational approaches used in the discovery and design of new drugs
Abstract: Computational approaches have revolutionized the field of drug discovery and design, offering efficient and cost-effective strategies for identifying and developing new therapeutics. This review article explores the application of computational methods in drug discovery, with a focus on virtual screening techniques, molecular docking, molecular dynamics simulations, and quantitative structure-activity relationship (QSAR) models. Virtual screening plays a crucial role in narrowing down large chemical libraries by utilizing ligand-based and structure-based approaches. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 26–30 Read article
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Numerical Modeling of Drug Release from HPMC Carriers with Erosion
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Numerical modeling of drug release kinetics from hydroxypropyl methylcellulose (HPMC) carriers is investigated. Recently a comprehensive model describing the controlling processes of this kinetics (water uptake, drug …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 2, Issue 1, 2011 · pp. 30–35 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Computation Modelling for Fine Particle Flow in Horizontal Slurry Pipelines
Abstract: The coal based thermal power plant in India faces the problem of dumping of coal ash. The coal ash produced by thermal plant is transported to dumping site through slurry pipeline. The flow of fine particles at higher flow velocity in slurry pipeline is a matter of curiosity. The transportation of coal ash slurry at higher flow velocity leads to high pressure drop and requires large pumping power which ultimately …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 1, 2019 · pp. 1–6 Read article
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Detection of Cervical Cancer Using lncRNA Expression Data and Detection of Possible Biomarkers with Bagged CART Machine Learning Method
Abstract: Aim: Cervical cancer (CC), one of the most common gynecological cancers, occurs when the cell layer that forms the surface of the cervix turns into abnormal cells. This type of cancer ranks fourth in cancer-related female deaths, and 3.6% of women living in developed countries suffer from this disease, while approximately 15% of women living in underdeveloped countries are exposed to this cancer. The primary means of reducing the high …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 12–20 Read article