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Research ArticleOpen accessIn the abstractHeavy Metals Content and Ecotoxicity of Sediments from the Congo RiverDidier Makonko Mabidi, Honoré Manyingu Mutwejile, Georgette Ngakiama Beni Ngweme et al.This research aimed to quantify the contamination of Congo River sediments by heavy metals and to evaluate their ecotoxicological effects in the municipalities of Maluku, Gombe, and Kinsuka, Kinshasa Province. Metal concentrations in sediments reached 340 mg kg-1 for Cr, 310 mg kg-1 for Cu, 826 mg kg-1 for Zn, 63 mg kg-1 for as, 1.9 mg kg-1 for Cd, … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 9 Nov 2024 · 6,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractUtilization of Banana, Pineapple and Watermelon Wastes-Substrate: As Consortiums to Remediating Cyanide Polluted SoilFlorence Obiageli Nduka, Samuel Chibuike Ubani, Victor Eshu Okpashi et al.The act of processing cassava for varied food products has come with unguided and wide-spread contamination of cyanide in the environment. The need for effective reduction in cost to enable remediation of cyanide-contaminated sites from cassava mill factories is the purpose of this investigation. This involves bio-stimulation of organic wastes with indigenous microorganisms to degrade cyanide. The application of organic … …American Journal of Environmental Sciences, Vol. 14, Issue 2 · 30 Apr 2018 · 9,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Super-Resolution using Auto-Encoders with Parallel Skip-ConnectionsLisha Pulickal Purushothaman, Jayasree Vadakke KadangoteSuper-resolutionimages are highly desired when employed for numerous analytical purposes andobviously because of their superior attractive visual effect. To create aHigh-Resolution (HR) image from one or more Low-Resolution (LR) images, animage super-resolution technique is used. When dealing with naturalenvironments and settings, it is not always easy to access high-resolutionimages. The main barriers to the same are limitations in acquisition methods.In … …Journal of Computer Science, Vol. 18, Issue 11 · 11 Nov 2022 · 6,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction on Land Market Value Based on the Real Estate Market in USALei WangThe Land Market Value, defined as the total value of land price and quantity data are derived from data on housing values, is an important factor in the estimation of structure costs using price indexes for housing and construction costs. In this study, we gather and analyze 34 years' national data on past and present real estate transaction. According to … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 23 May 2017 · 7,555 accessesView PDFCite
Research ArticleOpen accessIn the abstractObtaining Organic Poultry Breeding Products in Prevention of MycotoxicosisAlena Kapitonova, Makhabat Saginbayeva, Kulbaram Bayazitova et al.The article is devoted to the prevention of mycotoxicosis in poultry farming as one of the main components of effective management of the industry. Despite the step-by-step control, the synergy of mycotoxins has a detrimental effect on the bird's body, especially at the final stage of fattening. Growth inhibition, as well as sudden death syndrome, reduce the economic impact. We … …OnLine Journal of Biological Sciences, Vol. 21, Issue 3 · 28 Jul 2021 · 6,593 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractPOWER STABILITY MONITORING BASED ON VOLTAGE INSTABILITY PREDICTION APPROACH THROUGH WIDE AREA SYSTEMH. H. Goh, Q. S. Chua, S. W. Lee et al.Nowadays, power systems are being forced to operate closer to its security limit due to current economic growth and the difficulties to upgrade the existing grid infrastructure. With the sudden increment of power demand, voltage instability problem has become a main concern to the power system operator because voltage instability has led or crucially contributed to some major blackouts throughout … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 10 Feb 2014 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Ecotourism Travel Risk on Word-of-Mouth: Via Fuzzy Set PerspectiveFangyi Liu, Cheng-Hsi Fang, Hsueh-Lan Chan, Tom Meng-Yen LinBecause of the subjective cognition on Word-Of Mouth (WOM) influence and the fuzziness on perceived-risk judgment, perceived risk in WOM Influence is a venture variable, which cannot be measured directly. The aim of this study is to define the mathematics meaning of the influence and develop a new fuzzy set method to build the influence membership function to exactly measure … …American Journal of Applied Sciences, Vol. 10, Issue 5 · 31 May 2013 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Density Based Dynamic Data Clustering Algorithm based on Incremental DatasetS. Angel Latha Mary, K.R. Shankar KumarProblem statement: Clustering and visualizing high-dimensional dynamic data is a challenging problem. Most of the existing clustering algorithms are based on the static statistical relationship among data. Dynamic clustering is a mechanism to adopt and discover clusters in real time environments. There are many applications such as incremental data mining in data warehousing applications, sensor network, which relies on dynamic … …Journal of Computer Science, Vol. 8, Issue 5 · 20 Feb 2012 · 7,465 accessesView PDFCite