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42 articles for “spatial learning”
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Research ArticleOpen accessIn the abstractBiformer Attention and ASF-YOLO for Cordyceps Sinensis Target RecognitionRu Yang, Peng Wu, Zhentao QinCordyceps sinensis, a highly valued traditional Chinese medicine, faces challenges in collection due to inefficiencies in manual searching, strenuous labor, and the impact of subjective expertise. The integration of deep learning into Cordyceps sinensis identification is an unexplored area. To alleviate the manual labor and enhance the precision and speed of identifying Cordyceps sinensis, a novel detection approach that combines … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 14 Nov 2024 · 4,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Review ArticleOpen accessIn the abstractMedicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper ReviewStephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo MissahComputer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural … …Journal of Computer Science, Vol. 17, Issue 12 · 24 Dec 2021 · 7,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Criteria Decision-Making Methodology for Sustainable Creativity in Social MediaShilpi Sharma, Tanupriya Choudhury, Bhupesh Kumar DewanganA major topic that every researcher is pursuing is sustainability in every aspect of knowledge and learning. In the 21st century, the world is facing a challenge. Some of the well-known Multi-Criteria Decision-Making tools are Analytic Network Process (ANP), Analytical Hierarchy Process (AHP), TOPSIS, ELECTRE, Choice Based Conjoint Analysis (CBC) etc. This approach is used in various research domains. The … …Journal of Computer Science, Vol. 17, Issue 11 · 5 Dec 2021 · 6,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiresolution Laplacian Sparse Coding Technique for Image ClassificationIntidhar Jemel, Ridha Ejbali, Mourad ZaiedSparse coding is a set of techniques used for learning a collection of over-complete bases to represent data efficiently. This technique has been used in different domain such as feature quantization and image classification. Despite its capacity of modeling, it could not represent similarity of the image coding which cause a poor performance in locality. The cause of this limitation … …Journal of Computer Science, Vol. 14, Issue 8 · 23 May 2018 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular MalaysiaSyaifulnizam Abd Manaf, Norwati Mustapha, Md Nasir Sulaiman et al.Shoreline is a very important element to identify exact boundary at the coastal areas of a country. However, in order to identify land-water boundary for a large region using traditional ground survey technique is very time consuming. Alternatively, shoreline can be extracted by using satellite images that minimizes the mapping errors. The trend of extracting shoreline has been shifted from … …Journal of Computer Science, Vol. 12, Issue 8 · 27 Oct 2016 · 7,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnti-Stress Effects of Kaempferia parviflora in Immobilization Subjected RatsJintanaporn Wattanathorn, Terdthai Tong-un, Supaporn Muchimapura et al.It is well known that intense and prolonged stress can produce hippocampal neuronal damage and cognitive impairments, few studies have investigated possible ways to prevent its deleterious effects. Here, we investigated the neuroprotective effects of a Thai traditional herb, Kaempferia Parviflora (KP) extract, commonly known as Kra-Chai-Dum, on learning and memory loss and the induction of neurodegeneration in the hippocampus … …American Journal of Pharmacology and Toxicology, Vol. 8, Issue 1 · 14 May 2013 · 8,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractContact with Nature and Children’s Wellbeing in Educational SettingsGiuseppe Carrus, Sabine Pirchio, Ylenia Passiatore et al.Problem statement: The study explores the role of the spatial-physical features of the environment for the functioning of educational institutions. Previous research in the field of environmental psychology showed how physical characteristics of learning environments might be linked to positive or negative outcomes in terms of learning attitudes and behaviors. In particular, there is consistent empirical evidence showing that contact … …Journal of Social Sciences, Vol. 8, Issue 3 · 26 Mar 2012 · 14,396 accessesView PDFCite