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Research ArticleOpen accessIn the abstractCohesion Analysis of Rubber Stand Ages Using Object-Based Image Analysis and Spatial AutocorrelationJiradech Majandang, Suepsai Prasansat, Patiwat Littidej et al.Latex and rubber wood are crucial raw materials used in various industries and play a significant role in the economies of many countries, particularly in tropical regions. Mapping the areas where these materials are planted and classifying the age of rubber stands is important for managing growth assessment, yield assessment, and estimating the number of mature rubber trees that will … …Journal of Computer Science, Vol. 20, Issue 12 · 29 Nov 2024 · 5,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical DiagnosisDawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra et al.Medical imaging has been widely used to diagnose diseases over the last two decades. Medical professionals still struggle to diagnose diseases using a single modality since there is a shortage of data in this domain. Therefore, images of specific organs with diseases from a variety of medical imaging systems can be combined using a technique called image fusion. Medical image … …Journal of Computer Science, Vol. 20, Issue 4 · 6 Feb 2024 · 5,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractLT-LBP-Based Spatial Texture Feature Extraction with Deep Learning for X-Ray ImagesPankaja Lakshmi P., Sivagami M.The novel logarithmic transformation of Local Binary Pattern (LT-LBP) for texture feature extraction is used with Deep Learning (DL) models. The Computational complexity in the DL models asymptotically increases with the data sesssst and the depth of the layers in Convolutional Neural Networks (CNN). Pre-processing the images before training the DL model holds a strong impact on the operation speed … …Journal of Computer Science, Vol. 20, Issue 1 · 18 Dec 2023 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Analysis of Accessibility for Public Transportation, A Case Study in Jakarta, Bus Rapid Transit System (Transjakarta), IndonesiaApri Zulmi Hardi, AbdulKader Ali MuradIntegrating public transportation has become a prevalent aspect of urban expansion in developed and developing countries. There are numerous benefits associated with implementing public transportation systems within urban areas, which may serve as a viable solution to address various traffic-related issues. Nevertheless, certain nations that have adopted public transportation encounter accessibility issues affecting the efficiency of such services. The authors … …Journal of Computer Science, Vol. 19, Issue 10 · 31 Aug 2023 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractAir Quality Interpretation of Four Geographically Distinct Hot Spot States of India-An Appraisal Using Aerosol Optical Depth and Particulate MatterJacob Joshua, Aishwarya Sathyachandran, Chenicherry House SujathaThe application of Moderate Resolution Imaging Spectroradiometer-Aerosol Optical Depth (MODIS-AOD) for Air Quality (AQ) assessment has contributed significantly by making use of a spatiotemporal relationship between ground-level particulate matter and aerosol optical density at both city and state levels. Traditional ground-based site-specific particulate matter monitoring method has found a profound gap in their spatial coverage. Such challenging situations prevail over … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 8 Feb 2023 · 5,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 821 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial-Temporal Variation and Topographic Effect of Vegetation Cover in Lvliang Mountains AreaHuixia Zhang, Yujie Li, Yongmei Li, Na ZhangVegetation cover is an important ecological climate parameter and to a certain extent, it indicates the change in the regional ecological environment. To explore the impact of different terrain factors on the vegetation cover in the Lvliang mountains area and the change and improvement of vegetation cover in this area. MODIS NDVI data from 2010 to 2019 were selected to … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 14 Dec 2022 · 5,104 accessesView PDFCite
Review ArticleOpen accessIn the abstractData Mining Revealing Recent Microplastics Pollution of Freshwater in ChinaZhuo-Yuan Xie, De-Sheng PeiThis review mainly discusses the characteristics and correlation of microplastics (MPs) in freshwater systems under various geographical environments in China. The distribution and source of MPs are analyzed and their spatial analyses are performed using the GIS method. Besides, the current and future situation of microplastic pollution in China is further evaluated through data mining. Results indicate that recent studies … …American Journal of Environmental Sciences, Vol. 18, Issue 3 · 25 Jun 2022 · 6,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Clustering Based Method for the Spatio-Temporal Data AnalysisAnahita Zolghadr, Afsaneh JalalianSpatiotemporal data is a type of data that is collected by the sensors. This type of data has two spatial and temporal dimensions. There are many challenges in analyzing spatiotemporal big data. Common evaluation metrics of clustering methods are not appropriate for spatiotemporal data. Previous clustering methods and the conventional evaluation metrics are efficient for data like time series with … …Journal of Computer Science, Vol. 18, Issue 6 · 13 Jun 2022 · 5,638 accessesView PDFCite