28 articles for “spectral measure”

Research ArticleOpen accessEvery word in the titleIN-SEASON ASSESSMENT OF WHEAT CROP HEALTH USING VEGETATION INDICES BASED ON GROUND MEASURED HYPER SPECTRAL DATAKhalid Ali Al-Gaadi, Virupakshagouda Patil, ElKamil Tola et al.An experiment on a 50 ha center pivot field was conducted to determine the Vegetation Indices (VI’s) that were helpful in assessing the in-season performance of wheat crop treated with graded levels of irrigation water and fertilizers. The irrigation levels were at 100, 90, 80 and 70% evapotranspiration (ETc); however, the fertilizer levels of N: P: K kg-1ha included 300:150:200 … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 7 Jan 2014 · 7,518 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsLocal Large Deviations: A McMillian Theorem for Typed Random Graph ProcessesKwabena Doku-AmponsahFor a finite typed graph on n nodes and with type law µ on finite alphabet Γ, we define the spectral potential ρλ(., µ), of the graph. From the ρλ(., µ) we define the Kullback action or the divergence function, Hλ(π || v), with respect to an empirical link measure, π, as the Legendre dual. For the finite typed random … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 29 Nov 2017 · 7,114 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsThe Use of Band Selection in Weighted Linear Prediction for Hyperspectral Image ClassificationIbtissam Banit'ouagua, Mounir Ait Kerroum, Ahmed HammouchThe advancement of imaging procedures has made hyperspectral sensors fit for acquiring spectral data in many restricted and bordering bands, which brings about a high relationship between's neighboring bands and high information excess. It is important to decrease these bands previously advance analysis utilizing land cover classification and target location. Going for the classification undertaking, this paper displays another weighted … …Journal of Computer Science, Vol. 14, Issue 8 · 4 Sep 2018 · 8,262 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAsymptotic Properties of Spectral Estimates of Second-Order with Missed ObservationsG. S. Mokaddis, M. A. Ghazal, A. E. El-DesokeyProblem statement: As a complement of the periodogram study the asymptotic properties of the spectral density using data window for stationary stochastic process are investigated. Some statistical properties of covariance estimation function with missing observations are studied. Approach: The asymptotic normality was discussed. A numerical example was discussed by using computer programming. Results: The study of time series with missed … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 7,496 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDF Cite

Research ArticleOpen accessIn the abstractShift of Zeeman Components of Ionic Spectral Lines Caused by the Angular Doppler EffectEugene OksThe angular Doppler effect was introduced by Garetz. While the usual Doppler effect is caused by the translational motion of the emitter, the angular Doppler effect is caused by the rotational motion of the emitter. It results into the frequency shift of a circularly-polarized light. In the present paper we analyze the angular Doppler effect caused by the rotational motion … …Physics International, Vol. 15, Issue 1 · 16 Jun 2025 · 6,449 accessesView PDF Cite

Research ArticleOpen accessIn the abstractXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,161 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Adaptive Filters for Dynamic Mass Measurement of Moving Objects on Flexible PlatformsSergio Bimbi Junior, Flavio Celso Trigo, Agenor de Toledo FleuryDynamic mass measurement of moving objects on flexible platforms remains a significant challenge due to mechanical vibrations, structural flexibility, and the inherently low Signal-to-Noise Ratio (SNR) of strain gauge sensors. Traditional analog filtering approaches, such as Tow– Thomas active filters, exhibit limitations since gain stages propagate and may even amplify intrinsic noise, compromising metrological accuracy. This work proposes a hybrid … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 Apr 2026 · 2,655 accessesView PDF Cite

EditorialOpen accessIn the abstractVolume 3: SGAMR is Always on Track!Chiara Bedon, Mario D’Aniello, Flavio StochinoThe year 2019 represents a new growing step for SGAMR, that starts to publish “continuously” all the accepted papers, once they are subjected to positive, blinded peer-review process. This is a further effort to improve the service for the contributors and for the readers, given that the efficiency of the journal to share knowledge can be maximized. Hänig et al. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 5,711 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDetection of Soil Total Nitrogen, Phosphorus and Potassium Content Based on the Spectral Information of Citrus CanopyLin Yunshuo, Li Zhen, Lv Shilei et al.The content of total nitrogen, phosphorus and potassium in the soil is an important basis for calculating the best fertilization amount and realizing the reasonable fertilization of the orange planting soil in time and accurately. In this research, hyper-spectral technology is applied to detect the three soil nutrient elements in the cultivated soil of citrus trees. Four spectral bands with … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 17 Apr 2020 · 7,805 accessesView PDF Cite