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Research ArticleOpen accessIn the abstractResearch and Development for the Hurdle Avoidance During Transplanting Manipulation Based on Kinect Vision ProcessingKaikang Chen, Yanwei Yuan, Bo Zhao et al.To avoiddamage to plants during the transplanting process, a transplanting method basedon the combination of the Kinect machine visual system and the low-damagetransplanting end effector was proposed to reduce the damage to the stems andleaves from transplanting end effectors during the transplanting process. Theinclined manipulator was designed can avoid the characteristics of the seedlingitself during the transplanting process to avoid … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 9 Nov 2022 · 5,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of the Presence of the "Swollen Shoot" Disease in Endemic Areas in Côte d'Ivoire Via Convolutional Neural NetworksCoulibaly Mamadou, Silue Kolo, Konan Hyacinthe Kouassi et al.The detection of Swollen Shoot disease and its control is one of the major objectives of research related to sustainable cocoa farming in Côte d'Ivoire. To contain the epidemic, the Cocoa Coffee Council (CCC) in collaboration with the National Agency for Support to Rural Development (ANADER) is responsible for prospecting and delimiting the infected areas as well as for uprooting … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 1 Oct 2023 · 6,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedLoBA-1: A Load Balancing Architecture for Mitigating Resource Overloading in Federated Cloud InfrastructuresDamola Gideon Akinola, Emmanuel Adetiba et al.In a subscription-based service such as cloud computing, clients have scheduled access to shared resources such as data, software, storage, and other assets as needed. Despite several benefits, cloud computing still faces significant difficulties. Load balancing, which is the capacity of the cloud infrastructure to equally distribute tasks among the resources in the cloud environment has significant issues. Cloud federation … …Journal of Computer Science, Vol. 21, Issue 2 · 23 Jan 2025 · 6,326 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Wing Tip Flow Around a Low Aspect Ratio Wing at Low Flight Speeds Using OpenFOAM® and Parallel ProcessingNikolaos Konstantinos Lampropoulos, Ioannis Eleftherios SarrisIn the present study, the effect of the wing tip geometry on the aerodynamic performance of a swept-back wing at moderate Reynolds numbers is investigated through numerical simulation and parallel processing. The aim is the identification of streamlines around the wing and subsequently the formation of the wing tip vortex. Due to the purely three-dimensional character of the flow, the … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 31 Jan 2025 · 9,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Strains of Beauveria Bassiana and B. Pseudobassiana used Against the Asian Locust (Locusta Migratoria L.) in KazakhstanUlzhalgas T. Zhumataуeva, Bakhytzhan A. Duissembekov, Yerlan Dutbayev et al.The purpose of the study was to perform genetic identification of the strains of fungi of the Beauveria genus and evaluate the effect of abiotic factors on the growth and survival of colonies and the productivity of conidia of these fungi, as well as to determine the biological effectiveness of the semi-preparative form of the drug based on Beauveria bassiana … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 22 Nov 2022 · 5,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection Algorithms for Streaming Data: Performance ComparisonZirije HasaniToday’s most of the data are streaming time-series data, where is very important anomaly detection over this data because gives significant information of possible critical situations. Detecting anomalies in big streaming data is yet difficult task because we have to process them in real time, even before they are stored and instantly alarm on potential threats. For real time streaming … …Journal of Computer Science, Vol. 16, Issue 7 · 18 Jul 2020 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,608 accessesView PDFCite