Search Results - (( mobile education high algorithm ) OR ( based construction waste algorithm ))
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The effect of government policy on the relationship between organizational factors and construction waste management in Abuja, Nigeria
Published 2016“…Further the inadequacy of unified waste management regulations and operational system for the enforcement and control of construction waste management practices among others are accountable for the unsuccessful construction waste management. …”
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A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions
Published 2023“…Whereas WCVRP involves, the construction of vehicle routes for collecting waste from customers and discharging their loads at the landfills with the minimum total distance travelled. …”
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NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan
Published 2025“…In conclusion, the Mental Health Support Mobile App exemplifies the power of technology in providing effective mental health support.he project demonstrates the effectiveness of combining NLP and mobile technology through careful design, implementation, and evaluation. …”
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Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
Published 2017“…Moreover, the developer must ensure that the parking space is construct with maximum capacity and avoid from waste area. …”
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Student and Staff Perspectives on Important Employability and Global Mobility Skills for Health Professionals in Higher Education
Published 2026“…The outcomes of pairwise comparison questions were processed using the Elo algorithm to generate importance rankings of the employability and global mobility characteristics. …”
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An improved partial comparison optimization for utilizing landfill facilities in a waste collection vehicle routing problem
Published 2025“…The improved PCO incorporates a Nearest Greedy (NG) algorithm for initial solution construction, dynamic parameter adjustment, and two additional neighborhood operators. …”
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DeMI interface tool for profit estimation and waste conversion technology recommendations in enhancing municipal solid waste management
Published 2024“…The M5P algorithm, adept at profit estimation, establishes correlations between MSW weight and profitability, while the J48 algorithm offers recommendations for suitable waste conversion technologies based on profit potential. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…Furthermore, the third algorithm NDAR presents further enhancement and better performance in all five performance metrics as compared to NCPR and AODV algorithms in a low or high density of nodes. …”
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…As the future works, the system can be improved by applied the system using mobile apps application to make the system can have easier access and implementation of another technique such as semantic-based searching and the usage of stemming algorithm would be considered to produce more meaningful results.…”
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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…The trend of modernization and digitization of education is developing. Today, many educational institutions are using learning management systems to improve their operational efficiency. …”
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Final Year Project / Dissertation / Thesis -
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Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni
Published 2023“…The ‘old’ construction industry has obvious issues in terms of labour shortage, waste of manpower, delays, and inefficiency in planning, forecasting and budgeting. …”
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Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis
Published 2025“…The system’s voice and manual button modes both yield over 92% accuracy with the aid of natural language processing, resulting in training requirements being low, and displaying strong performance in high-noise environments. The novelty of this work is evident through an adaptive keyword spotting algorithm for improved recognition performance in high-noise environments and a gradual latency management system that optimizes processing parameters in the presence of noise. …”
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Comparative modelling of strength properties of hydrated-lime activated rice husk-ash (HARHA) modified soft soil for pavement construction purposes by artificial neural network (AN...
Published 2021“…The problematic clay soil was stabilized with varying proportions of HARHA (stabilizing agent) which is an agricultural waste derivative from the milling of rice ranging from 0% to 12%; the utilization of the alkaline activated wastes encourages its recycling and re-use to obtain sustainable, eco-efficient and eco-friendly engineered infrastructure for use in the construction industry with economic benefits also. …”
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Shortest path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm / Nur Syuhada Muhammat Pazil ... [et al.]
Published 2020“…Nowadays, traffic problems have affected many transport users especially in Kuala Lumpur area. The time wasted on the road causes a lot of problems to the users. …”
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. The employment of automated toolbox is a straightforward process constructed from eight sub-tools to prepare, train, and processes the data. …”
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Artificial Neural Network-Forecasted Compression Strength of Alkaline-Activated Slag Concretes
Published 2022“…The prediction accuracy of the optimal ANN model was then compared to existing ANN-based models, while the variable selection was compared to existing AASC models with other machine learning algorithms, due to limitations in the ANN-based model. …”
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Efficient feature selection analysis for accuracy malware classification
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