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Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms
Published 2025-05-01“…This study adopts a Systematic Literature Review (SLR) methodology to analyze existing research conducted by previous scholars. …”
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Modeling and Control of a Ballbot: A Systematic Approach
Published 2025-01-01“…To the authors’ knowledge, there is a lack of a systematic approach in the literature that addresses these considerations, particularly when it comes to the parameter identification problem. …”
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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement
Published 2024-01-01“…Noticeable aspect from the results includes the prevalence of metaheuristic algorithms like genetic algorithms, particle swarm optimization, cuckoo search, and various others. …”
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Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data
Published 2025-04-01“…Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm
Published 2025-01-01“…These results highlight the algorithm’s robustness and precision in handling noisy data. …”
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Optimization of Slotted Steel Plate Shear Walls Based on Adaptive Genetic Algorithm
Published 2025-05-01“…This study develops an enhanced coding strategy with adaptive parameter adjustment mechanisms to address the premature convergence issue inherent in conventional genetic algorithms (GAs). An improved adaptive genetic algorithm (IAGA) is proposed for optimizing the slit pattern configurations of 16 steel-frame-slotted steel plate shear wall (SSPSW) systems. …”
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Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks
Published 2025-07-01“…The GA leverages evolutionary strategies to explore non-differentiable, multimodal optimization landscapes, systematically identifying configurations that maximize model performance. …”
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A systematic review of quantum machine learning for digital health
Published 2025-05-01“…Abstract The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or health service delivery. …”
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Machine learning in predicting firm performance: a systematic review
Published 2025-07-01“…It aims to assess the effectiveness of various ML methods and algorithms used in recent research, focusing on the prediction of firm performance across multiple dimensions. …”
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50
Object Detection using YOLOv8 : A Systematic Review
Published 2025-05-01“…This study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripeness identification, road defect detection, forest fire smoke detection, and medical imaging. …”
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Assessment of different genotyping markers and algorithms for distinguishing Plasmodium falciparum recrudescence from reinfection in Uganda.
Published 2025“…However, suitable combinations with msp-1 and msp- 2, as well as the performance of different algorithms for classifying recrudescence, have not been systematically assessed. …”
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Numerical Simulation of Double-Layer Nanoplates Based on Fractional Model and Shifted Legendre Algorithm
Published 2025-07-01“…Finally, a dimensionless numerical example is given to verify the feasibility of the proposed algorithm, and the effects of material parameters on plate displacement are analyzed for double-layer plates with different materials.…”
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Designing and validating a clinical decision support algorithm for diabetic nephroprotection in older patients
Published 2024-09-01“…The aim of this research is to design and validate a CDS algorithm for prescribing renin-angiotensin-aldosterone system inhibitors (RAASi) for older patients with diabetes.Methods The design of the CDS tool included the following phases: (1) gathering evidence from systematic reviews and meta-analyses of randomised clinical trials to determine the number needed to treat (NNT) and time-to-benefit (TTB) values applicable to our target population for use in the algorithm. (2) Building a list of potential cases that addressed different prescribing scenarios (starting, adding or switching to RAASi). (3) Reviewing relevant guidelines and extracting all recommendations related to prescribing RAASi for DKD. (4) Matching NNT and TTB with specific clinical cases. (5) Validating the CDS algorithm using Delphi technique.Results We created a CDS algorithm that covered 15 possible scenarios and we generated 36 personalised and nine general recommendations based on the calculated and matched NNT and TTB values and considering the patient’s life expectancy and functional capacity. …”
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A Multi-Parameter Persistence Algorithm for the Automatic Energy Calibration of Scintillating Radiation Sensors
Published 2025-07-01“…Peak detection is a fundamental task in spectral and time-series data analysis across diverse scientific and engineering disciplines, yet traditional approaches are highly sensitive to the choice of algorithm parameters, complicating reliable and consistent interpretation. …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems
Published 2025-05-01“…The Sparrow Search Algorithm (SSA), proposed by Jiankai Xue in 2020, is a swarm intelligence optimization algorithm that has received extensive attention due to its powerful optimization-seeking ability and rapid convergence. …”
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SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration
Published 2025-07-01“…The study systematically examines corporate diversification strategies, revealing discrepancies between theoretical frameworks and practical implementations. …”
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Challenges in the development of treatment guidelines for bipolar disorder
Published 2025-06-01“…An additional issue is the method for the development of the guidelines, with systematic reviews of the hard evidence to constitute the most recent trend. …”
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NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation
Published 2024-01-01Get full text
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Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems
Published 2020-01-01“…To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. …”
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