80 results for “data inputs”

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Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Study on Emotion Analysis and Music Recommendation Using Transfer LearningKrishna Kumar Singh, Payal DemblaAs more and more people access and consume music through streaming platforms and digital services, music recommendation has grown in importance within the music industry. Given the abundance of music at our disposal, music recommendation algorithms are essential for guiding users toward new music and for creating individualized listening experiences. People frequently seek out music that fits their current emotional … …Journal of Computer Science, Vol. 19, Issue 6 · 16 May 2023 · 7,109 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRotational Pasture Management for Ameliorating Productivity and Feed Value of Vegetation, Soil Quality, and Sustainability in Dry Steppe ZoneGani Stybayev, Meisam Zargar, Beibit Nasiyev et al.Over the past years, a farming system in the Akmola region of Kazakhstan has undergone significant changes: The average number of animals per farm and the use of external inputs have significantly enhanced while the diversity of farming practices has decreased, becoming similar to intensive farming. In this research, we evaluated the rotational pastures for increasing the productivity and feed … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 18 Jan 2025 · 4,255 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSuppression of Bipolaris Leaf Blotch and Improvement of Wheat Growth by Plant Growth Promoting Rhizobacteria BacilliFarzana Zerin Eivy, Md. Tanbir Rubayet, Umakanta Sarkar, Md. Motaher HossainBipolaris leaf blotch, induced by Bipolaris sorokiniana, poses a notable risk to wheat cultivation, resulting in considerable annual declines in yield. Plant Growth-Promoting Rhizobacteria (PGPR) are acknowledged for their colonization of the wheat rhizosphere and provision of various advantages to plants, including disease control and improved growth. This investigation seeks to explore the feasibility of utilizing PGPR strains as a … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 12 Mar 2024 · 6,637 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparative Analysis of the Artificial Neural Networks Options Pricing Model Under Constant and Time-Variant VolatilitiesHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiOption pricing using artificial neural networks (ANN) model while relaxing the assumption of constant volatility still remains a challenge. The conventional practice for pure ANN models has been to either model volatility using the very ANN model and have the model output fed as an input to the ANN option pricing model, or to make allowances for a large number … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Jul 2019 · 7,010 accessesView PDF Cite

Research ArticleOpen accessIn the abstractNew Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of IranElham Rahimi, Younes Shekarian, Salman Mastri Farahani et al.The Gilan-e-Gharb block is known as a prospective area for hydrocarbon resources in the form of oil, gas in deep potential and natural bitumen (Gilsonite) on the surface. Natural bitumen is not clearly detectable by geochemical or geophysical methods. Hereupon, identifying high potential areas for further exploration, attempted with the help of AHP-Fuzzy and TOPSIS methods. The comprehensive database of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 2 Mar 2020 · 7,980 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Machine Learning Approach to Predict Movie Revenue Based on Pre-Released Movie MetadataQuazi Ishtiaque Mahmud, Nuren Zabin Shuchi, Fazle Mohammed Tawsif et al.With the growth of the movie industry, it is becoming increasingly important for the stakeholders to get an idea about the probable profit made by the movie in the box office. In fact, among movies produced between 2000 and 2010 in the United States, only 36% had box office revenues higher than their production budgets, which further highlights the importance … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 11,852 accessesView PDF Cite

InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (Ustilaginoidea virens)Bodrun Nessa, Moin U. Salam, A.H.M. Mahfuzul Haque et al.Rice False Smut (RFSm) is presently an internationally important fungal disease of rice. While the Yield Loss (YL) from this disease is reported in many countries, there exists no tool to instantly estimate the YL by visual field inspection. This study developed a simple model, FLYER, for this purpose. The model is run by two inputs: (i) fraction of productive … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 1 · 21 Apr 2015 · 8,012 accessesView PDF Cite