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255 articles for “Hybrid Approach”
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Research ArticleOpen accessIn the abstractResponse of Maize to Nutrients Foliar Application Under Water Deficit Stress ConditionsN. A. Sajedi, M. R. Ardakani, A. Naderi et al.Problem statement: To investigate the effect of nutrient application on agronomical characteristic and water use efficiency under water deficit stress of hybrid maize 704, an experiment was arranged in a split plot factorial based on a complete randomized block design with four replicates in the research station of Islamic Azad University-Arak Branch, Iran in 2007. Approach: Main factors studied were … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 7,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Color Indexing: An Efficient and Robust Technique for Content-Based Image RetrievalRachid Alaoui, Said Ouatik El Alaoui, Mohammed MeknassiProblem statement: Color Histogram is admitted as a useful representation of features because it is a statistical result and possesses the merits of simplicity, robustness and efficiency. However, the main problem with color histogram indexing is that it doesn't take into account the spatial information. Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,418 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Product Multi-Constraint Inventory Control Systems with Stochastic Replenishment and Discount under Fuzzy Purchasing Price and Holding CostsAta Allah Taleizadeh, Seyed Taghi Akhavan Niaki, Mir-Bahador AryanezhadWhile in multi-periodic inventory control problems the usual assumption are that the orders are placed at the beginning of each period (periodic review) or depending on the inventory level they can happen at any time (continuous review), in this research, we relax these assumptions and assume that the periods between two replenishments of the products are independent and identically distributed … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration of Five New Musa Hybrids With Resistance To Black Sigatoka and High YieldRicardo Hernández, Teresa Ramírez, Juan Carlos Noa-Carrazana et al.The ability to identify genetic variation is indispensable to effective management and use of genetic resources. This work is the first approach concerning to generation and genetic differentiation of new Musa hybrid lines obtained in INIVIT (Cuba), crossing Musa acuminata male diploid (AA) x female triploid (ABB), genotypes selected by their resistant character to pests and diseases. From the obtained … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 2 · 30 Jun 2007 · 8,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractAirlanderRelly Victoria Virgil Petrescu, Raffaella Aversa, Bilal Akash et al.Man always dreamed of flying. The important thing is not that it succeeded but that it has evolved permanently, improving its flight. The main problem in aviation was also the safety of the flight. How to keeps in the air, even when serious problems arise. Generally, the porting was made with engines and wings. But such support can’t be very … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 2 · 5 Jul 2017 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GAShamim Akhter, Kiyoshi Honda, Yann Chemin, Putchong UthayopasAn agro-hydrological simulation model is useful for agriculture monitoring. One issue in running such model is parameter identification, especially when the target area is large such as provincial or country level. Remote Sensing (RS) provides us with useful information over large area. RS cannot observe input parameters of agro-hydrological models directly. However, a method to estimate input parameters of such … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 7,209 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSpatio-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 · 1,918 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,100 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing 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 · 749 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)Thambusamy Velmurugan, Sridevi Perumal ChokkalingamSentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gauging sentiment can be challenging, particularly when individuals employ specialized language and online shorthand. This research work presents a novel approach to sentiment analysis known as SentiWordNet Adjusted … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 5,939 accessesView PDFCite