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274 articles for “Expert”
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Research ArticleOpen accessIn the abstractAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractDDRSHARP: A Fast and Extensible DRAM SimulatorTesfamichael Gebregziabher Gebrehiwot, Fitsum Assamnew Andargie, Mohammed IsmailDynamic Random-Access Memory (DRAM) is a crucial component of modern computing systems and there exist a variety of DRAM standards. The variance in DRAM architecture calls for an extensible simulator to accommodate current and future DRAM standards. Moreover, as every researcher may not be an expert in programming, choosing an easier programming language to construct a simulator would reduce the … …Journal of Computer Science, Vol. 19, Issue 7 · 16 Jun 2023 · 5,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Review ArticleOpen accessIn the abstractGlobal Status of Herbicide Resistance Development: Challenges and Management ApproachesMeisam Zargar, Han Eerens, Elena Pakina et al.Chemicals are widely recommended for the suppression of weed in crop land. This paper attempts to a greater integration of ideas into the development of herbicide resistance. This may lead researchers to focus less on simply defining herbicide resistance and more towards comprehensive investigations of the resistance development. Weed expert in collaboration with plant biologists can work in synergy to … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 2 · 5 May 2017 · 8,463 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Milk Fatty Acids Health Index as Milk Value Added Determinant using FT-NIRSDespal Despal, Dwitamy Anzhany, Idat Galih Permana et al.The current milk price system based on Total Plate Count (TPC) and Total Solids (TS) are less sensitive in determining milk quality. Milk fatty acids profiles reflected milk quality for human health. However, their determination using Gas Chromatography (GC) is impracticable to be included as a daily price decision determinant. The study aimed to find a model for milk value … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 23 Dec 2021 · 6,941 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image DatasetEmmanuel Adetiba et al.Plants are very important living organisms on earth because humans and animals depend on them for nutrition, oxygen, medicine and balance in the ecosystem. Therefore, plant species recognition is critical to the improvement of agricultural productivity, mitigation of climate change and the discovery of new medicinal plants. However, species recognition has remained a difficult task even for trained botanists, because … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 7,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractRestricted Boltzmann Machines for Fundus Image Reconstruction and Classification of Hypertension RetinopathyBambang Krismono Triwijoyo, Boy Subirosa Sabarguna, Widodo Budiharto, Edi AbdurachmanConventionally classification of hypertensive retinopathy through analysis of fundus images by experts, but this method the results are highly dependent on the accuracy of observations and expert experience. In this study, we propose a fundus image reconstruction and Hypertensive retinopathy classification model using Restricted Boltzmann Machines (RBM), as well as the Messidor database that has been labeled as a dataset. … …Journal of Computer Science, Vol. 17, Issue 2 · 26 Feb 2021 · 7,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Improved Semi-Automated Segmentation Technique with Manual Segmentation: Data from the Osteoarthritis InitiativeHong Seng Gan, Khairil Amir SayutiManual segmentation is the standard procedure in osteoarthritis study. However, this method is infamous for being excessive, time consuming and exhaustive. In this study, we overcame the problem of excessive expert interaction reported in manual segmentation by developing a semi-automated random walks technique with computer-aided labelling system. To minimize expert interaction, non-cartilage seeds were generated by using computer. Then, random … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 24 Oct 2016 · 7,363 accessesView PDFCite
EditorialOpen accessIn the abstractAmerican Journal of Agricultural and Biological Sciences: Ten Years LaterMarco LandiTen years after the first issue, the American Journal of Agricultural and Biological Sciences (AJABS) continued to flourish, a clear indication of the validity of Science Publications project. Many scientists have contributed in this first decade to AJABS editorial life and to date more than 500 papers have been published with an encouraging rate of 0.73 cites per doc. Furthermore, … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 1 · 5 Mar 2016 · 7,893 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrototype-Based Sample Selection for Active HashingCheong Hee ParkSeveral hashing-based methods for Approximate Nearest Neighbors (ANN) search in a large data set have been proposed recently. In particular, semi-supervised hashing utilizes semantic similarity given for a small fraction of pairwise data samples and active hashing aims to improve the performance for ANN search by relying on an expert for the labeling of the most informative points. In this … …Journal of Computer Science, Vol. 11, Issue 7 · 2 Nov 2015 · 6,736 accessesView PDFCite