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177 articles for “Temporal”
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Research ArticleOpen accessEvery word in the titleSpatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and AutoencoderEunji Lee, Seunghyun Lim, Seojun Lee, Abhijit DebnathMonitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity (EC) and temperature, using monthly data collected in South Korea between 2006 and 2023. Linear regression and the Mann-Kendall test reveal a weak, episodic downward EC trend. Seasonal decomposition indicates annual cyclicality, while residual analysis … …Journal of Computer Science, Vol. 22, Issue 1 · 14 Feb 2026 · 1,926 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConceptual Archaeology of a Temporal Place: Albert and Kessler (1976) Applied to Chacma Baboons (Papio ursinus)Lucy Baehren, Susana CarvalhoAlthough leave-taking in non-human species has been preliminarily investigated in a few species, the mechanisms driving encounter ends remain unstudied. In 1976 Albert and Kessler published a landmark paper, outlining theories about what drives social encounter ends and providing a framework of internal and external motivations leading to separation. This framework has been underused in aiding our understanding of how … …Journal of Social Sciences, Vol. 20, Issue 1 · 21 Mar 2024 · 6,230 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial-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 · 5,108 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial-Temporal Analysis of Temperature Trend and its Possible Effects on Water Resources and Water Uses in Climatic Zones of Iran's Zayandehrud River BasinAli Hasantabar-Amiri, Kaveh Ostad-Ali-Askari, Ali Heidarian et al.The minimum, moderate and maximum temperature trends at seasonal time scale in 5 climatic zones using 37 meteorological stations in Zayandehrud river basin was studied regionally and the relationship to water resources, water uses of each zone and its possible effects were determined. The results showed that the majority of the climatic zones will have an increasing trend in spring, … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 27 Jun 2019 · 8,045 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTemporal Variability on Lowland River Sediment Properties and YieldMohd Khairul Amri Kamarudin, Mohd Ekhwan Toriman, A.S. Sharifah Mastura et al.Problem statement: A sediment analysis study was conducted at the Chini River on 16 and 31 August 2008. This study was conducted to review the formation of suspended sediment load in the Lake Chini catchment area, which flows into the Pahang River via the Chini River. Approach: Three sampling stations were chosen, the first one at upstream Chini River (S1), … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 7,194 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdapting the LMF Temporal Splining Procedure From Serial to MPI/Linux ClustersSajia Akhter, Ipshita Sarkar, Kazi G. Rabbany et al.Remote Sensing (RS) provides images over large areas such as provincial or country level. During the last 20 years, it plays a vital role for developing many complex applications. However, RS image includes data noises due to influence of haze or cloud especially in the rainy season. It is thus necessary to remove the noise to recover the real ground … …Journal of Computer Science, Vol. 3, Issue 3 · 31 Mar 2007 · 7,467 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 901 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,042 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEmploying Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain RoutingKante Satyanarayana, K. VenkateshNowadays, emerging Internet of Things (IoT) in data processing becomes interested research topic and is used for various applications. This varies from big data processing and analytics for accumulating entire sensor data to detect and generate long-term trends. Nevertheless, this results in the requirement for resources like the execution of power, memory, and bandwidth, in which resource-constrained IoT tools suffers … …Journal of Computer Science, Vol. 22, Issue 1 · 21 Feb 2026 · 1,476 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,780 accessesView PDFCite