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using algorithm » cosine algorithm (Expand Search)
element based » event based (Expand Search)
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An Enhanced MPPT Approach Based on CUSA for Grid-Integrated Hybrid Electric Vehicle Charging Station
Published 2024“…Therefore, this manuscript proposes a renewable energy-powered EV charging station featuring a combination of solar energy, standby battery systems, sophisticated control techniques such as neural network-integrated grids, the enhanced Cuckoo Search Algorithm for Maximum Power Point Tracking, and the Proportional-Integral-Derivative controller. …”
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223
Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …”
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …”
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225
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…This paper proposes a system to aid people with motor disabilities by restoring their ability to move effectively and effortlessly without having to rely on others utilizing an eye-controlled electric wheelchair. The system input is images of the user’s eye that are processed to estimate the gaze direction and the wheelchair was moved accordingly. …”
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226
Extremity Ischemia After Jellyfish Envenomation: A Case Report and Systematic Review of the Literature
Published 2022“…In the literature, 15 different pharmacologic classes have been used to manage these presentations. Only IV infusions of prostaglandin derivatives and intra-arterial thrombolytics have been found to improve the clinical picture and avoid the need for surgical fasciotomy and debridement in some cases. …”
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Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Published 2024“…To address this, our study focuses on visualizing complex EEG signals in a format easily understandable by medical professionals and deep learning algorithms. We propose a novel time–frequency (TF) transform called the Forward–Backward Fourier transform (FBFT) and utilize convolutional neural networks (CNNs) to extract meaningful features from TF images and classify brain disorders. …”
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229
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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230
A MIMO Sampling-Rate-Dependent Controller
Published 2014“…A proportional-integral-derivative (PID) controller is a special case of the proposed controller. …”
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231
Single-channel speech denoising by masking the colored spectrograms
Published 2025“…<p>Speech denoising (SD) covers the algorithms that remove the background noise from the target speech and thus improve its quality and intelligibility. …”
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232
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
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233
Humanizing AI in medical training: ethical framework for responsible design
Published 2023“…<p dir="ltr">The increasing use of artificial intelligence (AI) in healthcare has brought about numerous ethical considerations that push for reflection. …”
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Blood Glucose Regulation Modelling and Intelligent Control
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Secure and Anonymous Communications Over Delay Tolerant Networks
Published 2020“…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …”
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Developing a resilient framework for electric vehicle charging stations harnessing solar energy, standby batteries and grid integration with advanced control mechanisms
Published 2024“…Consequently, this article presents and evaluates a system that utilizes a proportional‐integral‐derivative controller, a neural network‐equipped grid and a charging station utilizing a Dragon Fly Optimization Algorithm to generate power and a maximum power point tracking controller. …”
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237
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
Published 2021“…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …”
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238
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes
Published 2023“…In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER<sup>+</sup>), HER2<sup>+</sup>, ER<sup>+</sup>HER2<sup>+</sup>, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …”
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
Published 2001“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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