Search Results - machine ((learning programme) OR (loading problem))

Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

“…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
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Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran by Gran, Shirley Sinatra

“…The MIGP model formulated is to solve FJSSP with three objective functions, which are to minimize the makespan, the total machining time and the mean absolute deviation of the total machining time to achieve machine’s load balancing. …”
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Mixed-load machine utilization improvement and transfer batch size optimization using hybrid simulation approach by Asih, Hayati Mukti

“…Firstly, the problem of mixed-load tester was formulated through a mathematical model. …”
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A Machine Learning Classification Application to Identify Inefficient Novice Programmers by Khan I., Al-Mamari A., Al-Abdulsalam B., Al-Abdulsalam F., Al-Khansuri M., Iqbal Malik S., Ahmad A.R.

“…Data mining; Graphical user interfaces; Learning algorithms; Machine learning; Nearest neighbor search; Academic performance; Application layers; Computer science students; Educational data mining; Educational Institutes; K-near neighbor; Machine learning classification; Nearest-neighbour; Novice programmer; Productive tools; Students…”

Fuzzy multi-criteria analysis for machine tool selection and optimal machine loading in flexible manufacturing cell / Nguyen Huu Tho by Nguyen , Huu Tho

“…In particular, production planning related to machine loading problem (MLP) should be firstly considered when starting production process. …”
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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy by Yap K.S., Yap H.J.

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NanoPC ARM-Based Panel Saw Machine with Industrial Internet of Things by Farag, Mohannad, Aboosaeedan, Ehsan, Eugene Ng, Keng Leong

“…Floor-mounted machines comprise of a loading station and cutting surface where panels are transferred from the loading to the cutting station. …”
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Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management by Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani, Ahmad Khairi Abdul Wahab, Khin Wee Lai, Suresh Chandra Satapathy, Azira Khalil, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan

Comparison of Electricity Load Prediction Errors Between Long Short-Term Memory Architecture and Artificial Neural Network on Smart Meter Consumer by Salleh N.S.M., Suliman A., J�rgensen B.N.

“…Brain; Errors; Forecasting; Learning algorithms; Mean square error; Memory architecture; Network architecture; Smart meters; Time series; Demand-side; Electricity load; Error values; Load predictions; Machine learning algorithms; Mean absolute error; Mean squared error; Prediction errors; Regression problem; Times series; Long short-term memory…”

Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations by Nouri, Hossein, Tang, Sai Hong

“…In this paper, an attempt is made to solve the cell formation problem while considering cell load variations and a number of exceptional elements. …”
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A hybrid bio-inspired and musical-harmony approach for machine loading optimization in flexible manufacturing system by Yusof, Umi Kalsom, Budiarto, Rahmat, Deris, Safaai

“…Manufacturing industries are facing fierce challenges in handling product competitiveness, shorter product cycle time and product varieties.The situation demands a need to improve the effectiveness and efficiency of capacity planning and resource optimization while still maintaining their flexibilities.Machine loading - one of the important components of capacity planning is known for its complexity that encompasses various types of flexibilities pertaining to part selection, machine and operation assignment along with constraints.Various studies are done to balance the productivity and flexibility in Flexible Manufacturing System (FMS).From the literature, researchers have developed many approaches to reach a suitable balance of exploration (global improvement) and exploitation (local improvement).We adopt a hybrid of population approaches; hybrid constraint-chromosome genetic algorithm and harmony search algorithm (H-CCGaHs), to solve this problem that aims at mapping a feasible solution to the domain problem.The objectives are to minimize the system unbalance as well as to increase the through-put while satisfying the constrains such as machine time availability and tool slots.The proposed algorithm is tested for it performance on 10 sample problems available in FMS literature and compared with existing solution approaches.…”
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Design and development of deep learning convolutional neural network on an field programmable gate array. by Wong, Yan Chiew, Lee, Yan Qing

“…This paper presents the design and development of Convolutional Neural Network on Field Programmable Gate Array. In the recent work of deep learning Convolutional Neural Network, CNN is a challenging research area in both software and hardware implementation. …”
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Reactive power planning for maximum load margin improvement using Fast Artificial Immune Support Vector Machine (FAISVM) by Aziz N.F.A., Abdul Rahman T.K., Zakaria Z.

“…This paper, first, presents a newly voltage stability index called Voltage Stability Condition Indicator (VSCI) to evaluate the voltage stability state of load buses in a system. It also proposes a fast optimization algorithm for reactive power planning problem (RPP) through Fast Artificial Immune Support Vector Machine (FAISVM). …”

Design prototype of prepaid water dispenser by Sarudin Rohseli

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Design, analysis and fabrication of staircase climbing trolley / Muhammad Ashraf Saiful Adli by Saiful Adli, Muhammad Ashraf

“…As a solution, this staircase climbing trolley project is being proposed to carry goods or loads up and down the staircase easily. This staircase climbing trolley aims to resist heavy weight or loads without having any problems and lift the heavy loads across a staircase with smooth and less effort as possible when there are no lifting facilities namely escalator and elevator. …”
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Development Of Decision Support System For Scheduling Machine Loading By Using Microsoft Office by Khiew, Fook Yun

“…The aim of this design project is to create a template for storing data and scheduling the machine loading by using Microsoft Access with assist of Microsoft Excel. …”
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Design and analysis of flour sieving machine prototype using autodesk inventor by Ismail, Mohd Erfy, Razali, Nizamuddin, Hashim, Suhaizal, Masek, Alias, Ismail, Irwan Mahazir

“…The machine's safety characteristics may then be addressed after increasing the width of the machine's size because the machine can sustain a greater load than the original machine, making the innovation machine more durable to use in the long term. …”
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Linear load flow for contingency analysis / Zakiah Md Saad by Md Saad, Zakiah

“…The load flow problem can be defined as the calculation of the real and reactive powers flowing in each line and the magnitude and phase angle of the voltage at each bus of a given transmission system for specified generation and load conditions. …”
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Design a mixer for grain materials by Mohd Hisyam Ismail

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Decoupled linear loan flow for contingency analysis/ Noraniza Mohamad Yusof by Mohamad Yusof, Noraniza

“…The load flow problem can be defined as the calculation_ of the real and reactive powers flowing in each line and the magnitude and phase angle of the voltage at each bus of a given transmission system for specified generation and load conditions. …”
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