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Research ArticleOpen accessIn the keywordsNucleation and Crystal Growth Rates of Struvite in DTM Type Crystallizer with a Jet-Pump of Descending Suspension Flow in a Mixing ChamberJoanna Koralewska, Krzysztof Piotrowski, Boguslawa Wierzbowska, Andrzej MatyniaThe kinetic data concerning reaction-crystallization of struvite from diluted water solutions of Mg2+, NH4+ and PO43- ions in a continuous DTM-type liquid jet-pump crystallizer with internal circulation of suspension are presented and discussed. The measurements were performed with the assumption of minimal value of unit power of a jet-pump’s feeding stream, providing thus a minimal level of internal circulation intensity. … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 7,958 accessesView PDFCite
Research ArticleOpen accessIn the abstractMANAT: A Filtering-Based Method for Denoising Nonuniform Photogrammetric Point CloudsYun Sin Chong, Hui Hui Wang, Yin Chai WangThree-dimensional point clouds reconstructed from photogrammetry often exhibit noise and non-uniform sampling density, which challenges existing denoising methods that rely on precise normal estimation or extensive parameter tuning. This study presents the Multi Attribute Neighbour Attraction Technique (MANAT), a novel single-stage, density-adaptive filtering method that jointly leverages spatial position, surface normals, and color as inherent photogrammetric attributes for unified noise … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstrous Synchronization Protocols in South African Merino EwesNhlakanipho Sam Zulu, Fhulufhelo Vincent Ramukhithi, Khoboso Christine LehloenyaThe South African Merino breed is the most important sheep breed in South Africa due to its superior wool quality. With an increasing wool demand from China and Europe, the need for wool production in South Africa has risen significantly. To meet this high demand, it is crucial to enhance the reproduction rate of the Merino sheep using assisted reproduction … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 29 Jan 2025 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Effects of Biomass Carbon Modified Bioretention Pond Fill Layer in Sponge City GardensWen Cao, Beibei ZuWith the expansion of urban green areas, the resulting increase in green waste has become the second-largest solid waste in the city. Green waste contains a lot of minerals and the recycling of its resources has become the urgent task of urban green development. Biochar technology is more in line with the concept of green environmental protection in Sponge City. … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 10 Jul 2024 · 4,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm DetectionMohammed M. AL-Ani, Nazlia Omar, Ahmed Adil NafeaSarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown great performance with word-level analysis. However, once a sequence of terms is being … …Journal of Computer Science, Vol. 17, Issue 11 · 1 Dec 2021 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterization of a Multi-Metal Resistant Bacillus cereus Strain TWSL_5 and it’s Bioremediation Potential for Cr, Pb, Zn and FeWeerasingha Mudiyanselage Nilmini Hasintha Kumari, Naduviladath Vishvanath Chandrasekharan, Champika Dilrukshi WijayarathnaAn effluent sample collected from a textile dyeing factory was screened to isolate metal resistant endogenous bacteria using standard microbiology techniques. A bacterium with the highest metal resistance was characterized by 16S rRNA gene sequencing and the bacterial genome was screened for any possible metal resistant genes using the Polymerase Chain Reaction (PCR). The bioremoval ability of the isolate was … …American Journal of Environmental Sciences, Vol. 17, Issue 3 · 15 Jul 2021 · 6,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 774 accessesView PDFCite