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Issue DateTitleAuthor(s)
2017Production and Characterization of Nano-sized Copper particles by Electro depositionIsmail K. Al-Khateeb; Muna S. Mahmood
2013-12PRODUCTION AND PURIFICATION OF EXTRA CELLULAR LIPASE FROM PSEUDOMONAS CEPACIA AND STUDY THE PARTIALCHARACTERIZATION .Alyaa M.Abdelhameed; Mohamed K. Kither; Minna.S.Farmman
2012-06PRODUCTION OF PECTINASE FROM ASPERGILLUS NIGER BY USING SOME FRUIT PEELSElham Esmael Al-Shamary; Badaa Hatam Kadem
2020Production of Thermal Insulation Lightweight Concrete Using Manufactured AggregateSultan Noori Alkarawi
2021Production of Water Filter from Porcelanite by Dry pressingEnas Muhi Hadi; Safa Luay Jasim
2021Production of Zirconium Oxide (ZrO2) Micro and Nanoparticles by Pulsed Laser Ablation in LiquidHalah Jasim Fehan; Jasim Mohammed Mansoor; Ammar Ayesh Habeeb
2015-12PRODUCTIVITY STUDY ON SEX GENOTYPES OF CORN (Zea mays L.) IN SULAIMANI /IRAQ.Ismail Ahmed Hassan; Mahmod Karim Ahmad; Abdul Mostafa Hamarash
2016Profile Optimization of the Discharge Electrodes in TEA CO2 Laser SystemMalek A.H. Muhi* , Duha S. Ahmed**, Aus A. Najim* , Adawiya J. Haide
2012-07-01Profile Optimization of the Discharge Electrodes in TEA CO2 Laser SystemMalek A.H. MuhiDuha S. Ahmed, Aus A. NajimAdawiya J. Haider
2012-06-01Programming robots is a useful tedious task, so there is growing interest in building robots which can learn by themselves. This paper describes the Reinforcement Learning and teaching approach like Queue Learning (Q-Learning) to be implemented for robotics technology environment navigation and exploration. Q – Learning algorithm is one of the widely used online learning methods in robotics; it is simple, efficient, and not need to complex process as in adaptive system. The aim of this work is to empower the agent to learn a certain goal directed navigation strategy and to generate a shortest path in static environment which contain static obstacles; it uses one of the important intelligent search methods the “heuristic”. It makes a necessary modification for the search algorithm to suit the way of solving the problem. In our approach of learning from demonstration, the robot learns a reward function from the demonstration and a task model from repeated attempts (trials) to perform the task. A simplified reinforcement learning algorithm based on one-step Q-Learning that is optimized in speed and memory consumption is proposed and implemented in Visual Basic language (VB). The robot can be built using stepper motors andZena Waleed Abass
2017Properties of a Subclass of Meromorphic Univalent Functions By Using Multiplier transformationThamer Khalil; Lieth A. Majed
2016Properties of High Strength Lightweight Aggregate Concrete Paving BricksWasan Ismail Khalil; Suhad Abd Al-Jabbar Mozan
2017Properties of Sustainable High Performance Lightweight Aggregate Concrete Reinforced with FibersWasan Ismail Khalil; Hisham Khalid Ahmed; Zainab Mohammed Ali Hussein
2023-09-01Prophylactic Role of Resveratrol against Testicular toxicity induced by Acrylonitrile in RatsI. Sabeeh, Samer; Q. Al-Awadi, Ahmed
2016-10Prophylactic Versus Extended Antibiotics Regimen in Breast Cancer SurgeryMazin A.Shakir; Husam H. Ali M
2017-12Prophylactic Versus Therapeutic Antibiotic Therapy Following AppendicectomyMuqdad Fuad Abdulkareem; Humamalddin Edan Hussein
2010PROPONENTS AND OPPONENTS OF BILINGUALISMHind Majeed Salla
2009-06-01Proposed Algorithm for Anti-Virus of E-Mail VirusesSaad Fleh
2007Proposed Algorithm For Color Image EnhancementM.Sc. Saad Mohmmed Saleh; M.Sc. Khalid Husein Kudheir
2019A Proposed Algorithm for Shot Boundary Detection Using Various FeaturesMatheel Emadaldeen and Eman Hato