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Research ArticleOpen accessIn the keywordsCarbon Dioxide Utilization for an Enhanced Biohydrogen Production of a Biomass HydrolysateAlma Negre Abug, Young Sook OhBio-hydrogen (H2) production in a thermophilic anaerobic bioreactor with carbon dioxide (CO2) utilization at the headspace was investigated at different ratio of Biomass substrate to Microorganism (B/M). A 3 mL volume of 80% NaOH (m/v) solution was continuously hung at the headspace of the bioreactors to capture carbon dioxide. The utilization of CO2 at its headspace, proved to enhance bio … …American Journal of Environmental Sciences, Vol. 12, Issue 4 · 9 Aug 2016 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Competing Lexical Distracters in a Visual Search TaskJeremy W. Grabbe, Tom Cioffi, Luke T. Zauner et al.Studies have shown that distracters that are relevant to a target can negatively affect visual search performance. Recent studies have looked at performance when targets are embedded within a distracter. Various factors have been explored such as automaticity, spatial location and timing. This study asked, &#34If distracters affected a different dimension would that produce a detriment to visual search performance&#34? … …Current Research in Psychology, Vol. 4, Issue 2 · 16 Jan 2014 · 7,373 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Evaluation of Thermal Imaging Based Respiration Rate Monitoring in ChildrenFarah AL-Khalidi, Reza Saatchi, Heather Elphick, Derek BurkeProblem statement: An important indicator of an individual’s health is respiration rate. It is the average number of times air is inhaled and exhaled per minute. Existing respiration monitoring methods require an instrument to be attached to the patient’s body during the recording. This is a discomfort to the patient and the instrument can be dislodged from its position. Approach: … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 31 Jul 2012 · 10,531 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHistorical Changes in Polychlorinated Biphenyls Contaminated SedimentsViet D. Dang, David M. Walters, Cindy M. LeeProblem statement: PCBs contamination continues to pose a health risk to aquatic environments due to their recalcitrance and bioaccumulation. The Sangamo Weston/Twelvemile Creek/Lake Hartwell Superfund Site is an example of such a health risk as a result of PCBs discharged from a former capacitor manufacturing plant. We conducted a study in twelvemile creek (Clemson, SC, USA) to examine the temporal … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 25 Jan 2012 · 7,077 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis and Optimization of Carbon Dioxide Emission Mitigation Options in the Cement IndustryMohammed Ba-Shammakh, Hernane Caruso, Ali Elkamel et al.The cement industry is responsible for approximately 5% of global anthropogenic carbon dioxide emissions emitting nearly 900 kg of CO2 for every 1000 kg of cement produced. Effective control strategies to mitigate these emissions are discussed and a mathematical programming model able to suggest the best cost effective strategy is outlined. Control costs consisting of operating and investment costs along … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,387 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVEL PRIORITIZATION ALGORITHM MODEL BASED TEST-SUITE GENERATION USING REGRESSION TESTINGPrabhu Jayagopal, Dr. Malmurugan NagarajanThe fully automatic Graphical User Interface tool for any application using novel model based test suite generation techniques for a GUI. They are unable to control response time and time intervals are based on relationship between GUI events handlers and test cases with their responsibilities. We present a novel prioritization algorithm that enhances event handlers for the automated GUI tool. … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,628 accessesView PDFCite
Review ArticleOpen accessIn the keywordsComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing 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 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite