Suggested Topics within your search.
Suggested Topics within your search.
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Next-Gen Decoding: Non-Binary LDPC Algorithms for Emerging Power Line and Visible Light Communications
Published 2025-01-01“…Furthermore, recent advancements and innovations in non-binary LDPC decoding algorithms are discussed, such as improved message passing strategies, layered decoding techniques, and adaptive algorithms. …”
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Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding
Published 2021-08-01“…Abstract A novel 2‐bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability density function. …”
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Environmental risk assessment based on multiscale spatial recurrent neural network algorithm for IoT agriculture area
Published 2025-07-01“…The Exhaustive Traffic Information Rate (ETIR) method evaluates the marginal rate of each feature, and the AntLion Behavior Optimization (ALBO) algorithm selects the most significant features, reducing dimensionality. …”
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A hydraulic control system integrating adaptive and PWM algorithms for hydro-mechanical continuously variable transmission
Published 2024-11-01“…This article aims to provide a new approach for research and application in related fields.…”
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Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm
Published 2025-07-01“…Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For an increasing amount of data, traditional data mining algorithms are not suitable. …”
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Material requirements planning with a novel lot sizing method and a new algorithm for production scheduling
Published 2025-07-01“…Lot sizing methods in previous researches do not provide feasible and operational solutions, or have parameters such as holding costs and set up costs that are not identified in financial accounts. …”
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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.
Published 2025-01-01“…However, a critical examination reveals computational constraints, adaptability to unforeseen conditions and multi-objective balancing that our research aims to address. In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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The Control Packet Collision Avoidance Algorithm for the Underwater Multichannel MAC Protocols via Time-Frequency Masking
Published 2016-01-01“…In accordance with multichannel MAC protocols, data packets and control packets are transferred through different channels, which lowers the adverse effect of acoustic network and gradually becomes the popular issues of underwater acoustic networks MAC protocol research. In this paper, we proposed a control packet collision avoidance algorithm utilizing time-frequency masking to deal with the control packets collision in the control channel. …”
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A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa
Published 2025-06-01“…Overall, this study establishes a contribution to understanding the ML algorithms for detecting false news in Africa and allows for a conceptual base for future studies.…”
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Fluid-Structure Interaction Analysis of Carotid Artery Blood Flow with Machine Learning Algorithm and OpenFOAM
Published 2022-12-01“…In this study, a patient-specific carotid artery model was analyzed with an open source program foam-extend. The research includes the effect of arterial wall deformation by fluid-structure analysis. …”
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Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data
Published 2024-11-01“…One of the SI-based optimization algorithms is the FOX-Inspired Optimization Algorithm. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection.
Published 2025-01-01“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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