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Research ArticleOpen accessEvery word in the titleDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat DiseasesSajjad Saleem, Adil Hussain, Nabila Majeed et al.Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf rust, and crown and root rot. Addressing conditions like crown and root rot, this study introduces an innovative approach that … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Jan 2025 · 6,355 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePedestrian Recognition Based on Multi-Scale Weighted HOGMonther Hussein Al-BsoolPedestrian recognition receives a great attention in recent years due to its importance in traffic accidents identification. Traffic surveillance systems can provide valuable information for pedestrian recognition using computer vision and image processing techniques. Most techniques exploit simple feature extraction and multi-stage feature matching to train classifiers. In this study, Canny edge information and Histogram of Oriented Gradient (HOG) has … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,161 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComputer Users Sitting Posture Classification Using Distinct Feature Points and Small Scale Convolutional Neural Network for Humana Computer Intelligent Interactive System During COVID-19Jheanel Estrada, Larry VeaThe sudden change in our workplace practices from face-to-face work to work from home setup due to the pandemic has brought positive and negative impacts on our overall health. In literature, the use of deep learning and specialized cameras in the estimation of the human pose is popular even if there is a need for high computational resources and complex … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,558 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, MalaysiaSabo Mahmoud Lurwan, Mohammed Oludare Idrees, Goma Bedawi Ahmed et al.This study presents a GIS-based model to identify optimal sites to install large-scale smart grid-connected Photovoltaic (PV) power plants. Input datasets include digital elevation model, road networks, grid lines and daily average solar radiation. Using multi-criteria decision-making approach, we set constraining conditions for slope, proximity to the road, proximity to grid lines, solar radiation and land use to optimize the … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 30 Jan 2017 · 8,793 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWater Quality in Small-Scale Coffee Production Units, Amazonas, PeruEli Morales Rojas, Segundo Chávez Quintana, Magali García et al.The objective of this research was to determine water quality in small-scale coffee production units in the Amazon Region, Peru. The characterization of the factors associated with coffee farmers was collected through surveys. The Standard Methods for the Examination of Water and Wastewater (APHA) method was used to determine the physicochemical and microbiological parameters of the incoming water (AE) (water … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 11 Oct 2022 · 6,502 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSmall-Scale Test of Transparent Adhesives in Glass Structures under Shear Stress and Their Ageing ResistanceMarkéta Zikmundová, Martina EliášováGlass load-bearing structures, which have been popular in recent years, require careful attention to detail, because with improper design there is a concentration of stress leading to failure and subsequent collapse of the structure. Mechanical connections are mainly used but there are disadvantages such as stress peaks, weakening of the cross-section, or aesthetic reasons. Adhesive connections eliminate these disadvantages. The … …International Journal of Structural Glass and Advanced Materials Research, Vol. 6, Issue 1 · 6 Mar 2022 · 6,564 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Radial and Axial Flow Chromatography for Monoclonal Antibody Downstream Processing at Bench and Pilot ScalesAli Demirci, Frank Leu, F. James BaileyAxial Flow Chromatography (AFC) is widely used for the purification of therapeutic Monoclonal Antibodies (MAbs). However, AFC columns can generate high pressure drops across the resin bed, preventing operation of the column at high flow rates especially at pilot or manufacturing-scales. Radial Flow Chromatography (RFC) was developed to provide lower pressure drops during chromatographic separations. In these studies, small and … …American Journal of Biochemistry and Biotechnology, Vol. 8, Issue 4 · 25 Dec 2012 · 11,516 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Block-Based Multi-Scale Background Extraction AlgorithmSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on accuracy of the extracted background image. It should be able to adapt to the changes continuously. In addition, especially in real-time applications the time complexity of this adaptation is a critical matter. Approach: … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,219 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnergy Option for Small Scale Cashew Nut Processing in IndiaAtul Mohod, Sudhir Jain, A.G. PowarProblem statement: Cashew (Anacardium Occidentale L.) is one of the important tropical crops. India processed about 11,80,000 metric tons of raw cashew nut seeds through 3650 cashew processing industries scattered in many states of country. The cashew nut processing industries are typically located in the rural and backward areas. The most significant difficulty in processing cashew nuts is that the … …Energy Research Journal, Vol. 1, Issue 1 · 30 Jun 2010 · 16,080 accessesView PDFCite