Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

299 results for “Cost performance”

Set a search alert
Research ArticleOpen accessIn the abstractEconomic Feasibility and Growth Performance of Holstein Friesian Calves Fed Whey-Dangke Fortified Green Calf StarterZyahrul Ramadan, Renny Fatmyah Utamy, Hasbi Hasbi et al.This research evaluated the impact of feeding green calf starter fortified with whey-dangke on Holstein Friesian dairy calves' economic feasibility, growth performance, and health parameters. Experimental diets were applied to 18 Holstein Friesian dairy calves using a randomized complete factorial design with two factors: type of calf starter and level fortification of whey-dangke. The results showed that calves fed different … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 9 Jul 2025 · 3,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoboBrew: The Fully Autonomous Coffee MachineAnthony Achkar, Maroun Hannoun, Rita Younes et al.Robotics has emerged in several domains in the current century. However, in the restoration field, mainly in coffee shops, applications are still limited. Therefore, RoboBrew presents a groundbreaking fully automated system poised to transform the restaurant and coffee industries into a new era. At its core, RoboBrew features an advanced coffee maker system designed to deliver exceptional performance. This system … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 1 Oct 2024 · 8,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,176 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
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
Research ArticleOpen accessIn the abstractMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite
Technical ReportOpen accessIn the abstractCritical Evaluation of Thermal Efficiency in Aerogel Glazing Systems for Energy-Saving ApplicationsErdem CuceAerogels as a thermal superinsulation material possess a unique combination of properties, most notably low densities, and exceptionally low thermal conductivities, stemming from the high-volume fraction of air incorporated within their structure. Aerogel glazing systems have emerged as a promising solution to enhance the thermal performance of building envelopes while maintaining daylighting. With the notable reductions in production cost in … …Energy Research Journal, Vol. 15, Issue 1 · 22 Jan 2026 · 2,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive ApproachSupriya P., Rubah Sheriff, Shreya Padaki et al.In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with the currency of the masses. Blockchain-based cryptocurrencies like Bitcoin and Ethereum allow users to generate fungible tokens anonymously through smart contracts. However, these features also facilitate illicit transactions and cybercrimes like fraud, phishing, … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,770 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting of Ethanol as an Alternative Fuel for IC EngineT. M. Chenthil Jegan, R. Chitra, Godwin GlivinAlternative fuel has become very significant and has an important role to play for both spark ignition and compression ignition engines, so the need to trim down dependency on gasoline as a fuel and its economic aspects has emerged as the reason of prime importance. Ethanol is one of the cost effective alternative fuel used to improve the performance of … …Energy Research Journal, Vol. 12, Issue 1 · 14 Jan 2021 · 8,964 accessesView PDFCite