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51 articles for “Speed Optimization”
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Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractCollision Avoidance Modelling in Airline Traffic Based on the Change of Airplane Movements and Dynamic CloudsYudhi Purwananto, Chastine Fatichah, Waskitho Wibisono et al.An Air Traffic Controller (ATC) system aims to manage airline traffic to prevent collision of the airplane, called the Collision Avoidance (CA). The study on CA, called Conflict Detection and Resolution (CDR), becomes more critical as the airline traffic has grown each year significantly. Previous studies used optimization algorithms for CDR and did not involve the presence of cumulonimbus clouds. … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Synthesis of a Dual-Clutch Automatic GearboxesRelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuRelatively recent have occurred dual-clutch automated boxes, which promise a lot in the field and can be used successfully in cars and trains as well as in the aerospace industry. This paper wants not only to present such a gearbox but also to realize its dynamic synthesis, based on the engineering optimization of the mechanical efficiency achieved in each used … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 8 May 2018 · 7,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Process Conditions for the Production of Holocellulase by a Bacillus Species Isolated from Nahoon Beach SedimentsEvelyn N. Fatokun, Uchechukwu U. Nwodo, Ademola O. Olaniran, Anthony I. OkohProduction of holocellulase by a newly isolated marine Bacillus species via submerged fermentation technique at varying cultivation conditions was investigated. Enzyme production was optimized by altering one variable per time. Moreover effect of lignocellulosic saccharides in inducing cellulase and xylanase production was also investigated. The 16S ribosomal Deoxyribonucleic Acid (16S rDNA) gene sequence analysis exhibited 98% sequence similarity of the … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 8 Apr 2017 · 8,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractVHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURERajeswaran Nagalingam, Tenneti Madhu, Munagala SuryakalavathiEvolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 24 Feb 2014 · 6,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARATIVE ANALYSIS OF OPTIMIZATION TECHNIQUES FOR ARTIFICIAL NEURAL NETWORK IN BIO MEDICAL APPLICATIONSV. Saishanmuga Raja, S. P. RajagopalanIn this study we compare the performance of three evolutionary algorithms such as Genetic Algorithm (GA) Particle Swarm Optimization (PSO) and Ant-Colony Optimization (ACO) which are used to optimize the Artificial Neural Network (ANN). Optimization of Neural Networks improves speed of recall and may also improve the efficiency of training. Here we have used the Ant colony optimization, Particle Swarm … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 7,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplicit Allocation Strategy with Deadline and Budget Constraint Algorithm in Bag of Tasks GridM. Suresh Kumar, T. PurusothamanProblem statement: This study is for effective scheduling of grid jobs based on economy for space shared resources in Bag of tasks grid. Grid Computing aims in combining the power of heterogeneous, geographically distributed, multi-domain computational resources to provide high performance or high throughput. Approach: Space shared resources are parallel supercomputers and clusters of workstations that provides a great amount … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 6,229 accessesView PDFCite