Search Results - (( user predictive modified algorithm ) OR ( java implication based algorithm ))

A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

“…Secondly, a modified πRKM algorithm is proposed to partition the user session data. …”
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

“…Firstly, to solve the handover issues (prediction target base station, and selection best target technology), the enhanced global positioning system (GPS) and the novel received signal strength (RSS) prediction algorithms are utilized to accurately predict the target base station. …”
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Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

“…The ability of predicting the next visited pages and recommending it to the short term navigation user (anonymous user) is highly needed. …”
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process by Siti Nabihah, Othman

“…The user-friendly graphical user interface (GUI) could give a better understanding about frying and was beneficial to food industry players who have limited experience in mathematical model and programming skills.…”
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Parameter estimation of tapioca starch hydrolysis process: Application of least squares and genetic algorithm by Roslina, Rashid, Hishamuddin, Jamaluddin, Nor Aishah, Saidina Amin

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Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm by Rashid, Roslina, Jamaluddin, Hishamuddin, Saidina Amin, Nor Aishah

“…This study showed that the impact of user defined parameters of the GA was insignificant as compared with the influence of the initial parameters of Gauss-Newton method on the predictive performance. …”
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Predicting motorcycle customization preferences using machine learning by Saputra, Ananta, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

“…Despite this progress, few studies apply supervised learning to behavioral prediction in vehicle personalization. This study explores potential by examining individual tendencies in choosing between modified and factory-original motorcycle. …”
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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by Abubakar Auwal , Idris

“…The performance of the developed VRTSA is evaluated and compared with three well-known downlink scheduling algorithms in LTE such as Proportional Fair (PF), Modified Largest Weight Delay First (MLWDF), Exponential Proportional Fair (EXP/PF) as well as recent algorithm called LTTI. …”
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

“…This will increase and ensure the safety of the users of the ERD. For both experiment protocols, the R2 between the net and the predicted joint moment showed good agreement in the chair-rise protocol (0.99), while the in the walking task the R2 was (0.91). …”
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Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan by Shahron Nizan, Muhammad Shahmi

“…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. …”
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Wastewater treatment process: a modified model for oxidation pond by Syafiqah Hanis, Mohd Fauzi

“…The purpose of this thesis is to present the relationship between the concentration of bacteria, which are phototrophic and coliform, chemical oxygen demand (COD), and dissolved oxygen (DO) in the form of modified mathematical model. Additionally, a Graphical User Interface (GUI) which predicting the wastewater treatment process in an oxidation pond is developed in this study. …”
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

“…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone by Md Jamal, Norezmi

“…In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Sleep as a predictor of depression level using Naïve Bayes / Nur Syakinah Md Roduan by Md Roduan, Nur Syakinah

“…In conclusion, this research demonstrated that Naïve Bayes method could be used to predict the level of depression. Future work on this subject should improve the findings by modifying the variables used and/or by using other methods in term of data collection or the algorithm itself.…”
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems by Salman, Mustafa Ismael

“…In this thesis, an analytical model that represents the tradeoff between energy efficiency (EE), spectral efficiency (SE), and transmission delay in both green and conventional Long-Term Evolution (LTE) eNodeB is formulated. Consequently, a modified downlink scheduler based on a Packet Prediction Mechanism (PPM) is conducted at the eNodeB. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi

“…This project uses an algorithm called Naïve Bayes and the visualization is aided by the Plotly library in Python. …”
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A Joint Evaluation of Energy-Efficient Downlink Scheduling and Partial CQI Feedback for LTE Video Transmission by Salman, Mustafa Ismael, Mansoor, Ali Mohammed, Jalab, Hamid Abdullah, Sabri, Aznul Qalid Md, Ahmad, Rodina

“…Therefore, the aim of this paper is to optimize the energy and bandwidth resources while maintaining quality-of-service at the downlink when a partial feedback is considered. In this paper, a modified downlink scheduler based on a Packet Prediction Mechanism (PPM) is conducted at the eNodeB to optimize the energy and spectrum resources. …”
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Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi by Mohammad Reza , Abbasi

“…The results showed that the dynamic model predicts more accurate results for Polydispersity Index (PDI), Molecular Weight Distribution (MWD), reactor temperature and polymer production rate. …”
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