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279 results for “movement”
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Research ArticleOpen accessIn the abstractFinancial Forecasting with Machine Learning: Price Vs ReturnFiruz Kamalov, Ikhlaas Gurrib, Khairan RajabForecasting directional movement of stock price using machine learning tools has attracted a considerable amount of research. Two of the most common input features in a directional forecasting model are stock price and return. The choice between the former and the latter variables is often subjective. In this study, we compare the effectiveness of stock price and return as input … …Journal of Computer Science, Vol. 17, Issue 3 · 18 Mar 2021 · 8,433 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiotic and Abiotic Factors of Sperm nDNA Fragmentation in Farm AnimalsBaylar Iolchiev, Natalya Volkova, Pavel Klenovitskiy et al.Infertility and subfertility are among the global challenges of our time. Fertility in livestock farming is not only biologically important, it is also economically important. The aim of this study was to study the effect of these factors on sperm chromatin nucleus and to assess the impact of the fragmentation index degree on bull reproductive performance. The influence of abiotic … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 11 Mar 2021 · 6,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Sensor Filters and Altitude Estimation of Unmanned Aerial Vehicle using Kalman FilterMertcan Akın, Aytaç Gören, Ahmed RachidSensor outputs are used when finding the position of an Autonomous Aerial Vehicle (UAV). Outputs such as air pressure, vehicle acceleration or magnetic field help the vehicle decide its attitude and altitude. However, it must also predict the next movement of the vehicle. The Kalman Filter is used to assist observing and predicting the state of a system. To achieve … …Journal of Mechatronics and Robotics, Vol. 5, Issue 1 · 30 Jan 2021 · 8,030 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Linear Chouquet Integral Algorithm to Design Optimal Time-Cost Model in Large Construction ProjectsHamid Jafari Nia, Kaveh Ostad-Ali-Askari, Hamidreza BabaaliNowadays, the problem of scheduling and executing projects with the least cost and time has become one of the main concerns of project managers. In this regard, researchers have used different methods and patterns. One of these methods is to use concurrent engineering in projects. Simultaneous engineering means the creation of a project schedule for projects based on existing units … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 18 Nov 2020 · 6,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Wheelchair Design and Operation Using Multi-Function ControllerJamal I. Al-NabulsiAn electric multi-function controlled wheelchair is designed and fully tested. This wheelchair is controlled by several physiological variables namely; voice, head movement, finger bending, breathing pressure and Electrooculography (EOG). The patient has the choice to use any of these variables to control the wheelchair. The voice command is recorded by a voice recognition module with its microphone, whereas, the head … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractPresents Some Aspects Related to the Atom and Atomic Electrons, Necessary in Understanding Chemical Bonds and NanotechnologiesFlorian Ion Tiberiu PetrescuThe paper presents briefly some aspects regarding the atom and its electrons, these being absolutely necessary for understanding the molecular bonds and future nanotechnologies. It is briefly presented how to determine the energies of the atomic electrons, their speeds of movement in the atomic orbit but also of rotation around a proper axis of the atomic electron, the kinetic energies … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 24 May 2020 · 7,245 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Motion Equations Presented in a New General FormatNicolae Petrescu, Florian Ion Tiberiu PetrescuConsidering the increased importance of robots nowadays, when no large factory or factory can work without robots, we want to present in the work the motion equations of the machine in an original form, both in terms of aspect and their deduction. The machine's motion equations can be used in dynamic calculations at any type of machine, whether it be … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 22 May 2019 · 6,134 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Models for Rigid Memory MechanismsRelly Victoria Virgil PetrescuThe paper presents a dynamic model that works with variable internal damping, applicable directly to rigid memory mechanisms. If the problem of elasticity is generally solved, the problem of system damping is not clear and well-established. It is usually considered a constant "c" value for the internal damping of the system and sometimes the same value c and for the … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 6 May 2019 · 5,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,340 accessesView PDFCite