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103 results for “optimum performance”
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Research ArticleOpen accessIn the keywordsPerformance of Thin-Film as Wavelength Filter in Wdm-Pof NetworkMohd Syuhaimi Ab. Rahman, L. S. Supian, Hadi Guna et al.Problem statement: Huge capacity for data transmission and bandwidth are becoming a need nowadays. High cost of implementation using optical fibers prevents utilization of the technology as wide as possible. Approach: Wavelength Division Multiplexing (WDM) was a technique that offers the solution for providing better bandwidth. WDM technique allows several signals that have different wavelengths to be transmitted in a … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 9 Dec 2011 · 7,270 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor NetworksN. E. Kanaghadhara, R. SubanThe Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information directly through the network to a sink or central location. Clustering and routing are essential in WSNs to optimize their longevity, scalability, and efficiency. Clustering includes grouping Sensor Nodes (SN) into clusters, each … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 682 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Age Predication from Face Images Based on Combining Deep Wavelet Network and Machine Learning AlgorithmsZahraa Salam Abu Ghrban, Nidhal K. EL AbbadiDue to the numerous variances in face appearance, age estimation using facial images is a difficult subject. Many factors can affect the estimation of human age such as race, face post, gender, lifestyle, etc. By considering more factors, the optimum performance may be obtained. In this study, we proposed a method to predict the age of facial images. The proposed … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 5,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Lipid Levels on the Growth Performance and Hepatic Lipid Deposition in the Post-Larval Coho Salmon (Oncorhynchus kisutch)Hairui Yu, Jinqing Wang, Dongwu LiuIn this study, the effect of different lipid levels (6.6, 10.56, 15.43, 18.91, 22.52 and 26.91%) on the body composition, growth performance and lipid deposition was investigated in the post-larval coho salmon (Oncorhynchus kisutch). The results showed that the optimum lipid level for post-larval coho salmon was 15.8% based on the Specific Growth Ratio (SGR). Moreover, 15.43, 18.91, 22.52 and … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 19 May 2021 · 6,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,913 accessesView PDFCite
Review ArticleOpen accessIn the abstractOptimization Consumption Power in Internet of Things Technology: A Systematic ReviewNur Yasmin Salleh, Mohd Kamir Yusof, Nur Farraliza MansorThis study reviews algorithms for battery optimization, focusing on estimation methods and State of Charge (SOC) algorithms, which are crucial components of Battery Management Systems (BMS) designed to reduce power consumption. With the increasing global demand for electricity driven by rapid population growth, optimizing energy use has become critical. Accurate estimation of battery capacity is essential for extending battery lifespan … …Journal of Computer Science, Vol. 21, Issue 3 · 13 Feb 2025 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Increase of Madura Cows Reproduction Performance with Double-Dose Method of Artificial InseminationKuswati, Wike Andre Septian, Khairul Rasyad et al.One of the potencies of Madura cow genetics is its adaptation ability to the tropical climate. Yet in most cases, the reproduction efficiency of the Madura cows has not reached the optimum point. This research examines the use of double-dose artificial insemination compared to a single-dose on Madura cows. The study was conducted in Daramista, Lenteng District, Sumenep Regency, Madura, … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 3 · 2 Aug 2022 · 6,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractHistogram Matching Schemes for Image ThresholdingSalah AmeerThis paper proposes several novel schemes for image thresholding. The idea is simply to compare the original image histogram to that of the thresholded image. Element by element comparison (sum of absolute difference between the two histograms) is found to be of better performance than a single feature (area or size) comparison. The optimum threshold is the one producing the … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 9 Sep 2019 · 7,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Hybrid Spectrum Sensing Method Using TCDT and IEDT for Cognitive RadioNeha Chaudhary, Rashima Mahajan, Richa Adlakha et al.The development of efficient spectrum sensing techniques has witnessed progressive growth for optimum utilization of spectrum resources in cognitive radio. The primary objective of spectrum sensing is the identification and proper utilization of the spectrum holes. Nowadays, due to the advancement of wireless technologies, the demand for spectrum is also increasing and thus in turn, the requirement for better spectrum … …Journal of Computer Science, Vol. 20, Issue 11 · 20 Nov 2024 · 4,301 accessesView PDFCite