Search Results - (( parallel optimization max algorithm ) OR ( demand distributed learning algorithm ))
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A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting
Published 2023Conference Paper -
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An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
Published 2023“…Thus, this thesis presents a mechanism for detecting DRDoS attacks on DNS that is strengthened by the use of modified metaheuristic algorithms and adaptive thresholding techniques based on machine learning algorithms (EMDDMAT).…”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…An Expectation-Maximization (EM) clustering model revealed five distinct clusters representing varied course demand concentrations and faculty distributions, with Cluster 1 (30%) showing the highest cumulative demand across university courses. …”
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Network analysis in a peer-to-peer energy trading model using blockchain and machine learning
Published 2024“…This will lead to profitable P2P energy trading between different distributed prosumers. By analyzing the simulation results of the proposed model and algorithm by benchmarking with the existing state-of-the-art techniques it's clear that the proposed algorithm shows marked improvement over network latency generated results. …”
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Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…This algorithm is capable of surmounting the aforementioned drawbacks especially premature convergence, through its reward-based dynamic leader assignment and self-learning strategies. …”
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Digital Signal Processor (DSP) Design Using Very Long Instruction Word (VLIW) Architecture
Published 2001“…Based on the verification done on Programmable Logic Device (PLO) of MAX 7000s family, the operation can be executed in 40 MIPS (Million instructions per second). …”
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Water quality monitoring using machine learning and IoT: a review
Published 2024“…The paper explores various ML algorithms, including supervised and unsupervised learning and deep learning, along with their applications, and discusses the use of IoT sensors for real-time monitoring of water quality parameters such as pH, dissolved oxygen, temperature, and turbidity.…”
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Optimization algorithms for energy storage integrated microgrid performance enhancement
Published 2023Article -
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Route Optimization based on Clustering and Travelling Salesman Problem
Published 2022“…This e-commerce wave has led the logistics sector to struggle to improve logistics distribution efficiency and reduce operating costs to keep up with consumers' fastgrowing demand simultaneously. …”
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Analysis of interconnected configuration for penetration of distributed generation
Published 2021“…The efficacy of the proposed interconnected system confirms the performance improvement of the distribution power system. The VSI values for interconnected systems give better results which is further justified by the machine learning algorithm, Logistic regression. …”
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A systematic literature review on outlier detection in wireless sensor networks
Published 2020“…Several works have been conducted to achieve these objectives using several techniques such as machine learning algorithms, mathematical modeling, and clustering. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Due to the extraordinarily rapid growth in population and development, the demand for energy and water has increased to critical demanding levels, globally. …”
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Final Year Project / Dissertation / Thesis -
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…This lightweight framework is for cost-effective distribution with high performance without requiring extensive computational resources or complex algorithms. …”
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Conference or Workshop Item -
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Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution. …”
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Computerised Heuristic Algorithm for Multi-location Lecture Timetabling
Published 2020“…Apart from the main campus at Kota Samarahan it is also being offered at other learning centres in Malaysia, in order to fulfil the high market demand to obtain a master degree. …”
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