Suggested Topics within your search.
Suggested Topics within your search.
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Exploring the synchronization of cortical networks via entrainment to intrinsic frequencies
Published 2024-12-01“…Introduction: Transcranial electrical stimulation (tES), including transcranial alternating current stimulation (tACS) and transcranial direct current stimulation (tDCS), is widely studied for its potential to modulate brain oscillations and connectivity, offering treatment options for neurological disorders like Alzheimer's, Parkinson's, and insomnia. …”
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1383
An Adaptive Navigation System for an Autonomous Underwater Vehicle Based on Data Transmitted via an Acoustic Channel from a Hydroacoustic Station
Published 2025-04-01“…Currently, it is becoming relevant to use cheap autonomous underwater vehicles (AUVs) to perform various underwater operations (environmental monitoring, aquatic protection, search and tracking of underwater biological objects, etc.). …”
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1384
CG-Art: demystifying the anthropocentric bias of artistic creativity
Published 2020-10-01“…The following aesthetic discussion examines in a philosophical-scientific way the relationship between computation and artistic creativity. Currently, there is a criticism about the possible artistic creativity that an algorithm could have. …”
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1385
Electric vehicles charging station allocation based on load profile forecasting and Dijkstra’s algorithm for optimal path planning
Published 2025-07-01“…To determine the most accessible stations, Dijkstra’s algorithm for shortest-path computation based on the EV’s current location and the locations of the CSs around is applied. …”
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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection
Published 2024-12-01“…This method effectively mitigates the shortcomings of conventional diagnostic techniques and current deep learning algorithms by utilizing the complementing capabilities of EfficientNetV2B3 and Inception-ResNetV2 by using an optimized weight selection mechanism. …”
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1388
Survivor optimizer: A competitive strategy for enhanced search efficiency
Published 2025-09-01“…In recent years, although optimization algorithms are essential for solving complicated issues, they frequently struggle to find a balance between exploitation and exploration. …”
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1389
Evaluating techniques of artificial intelligence for social robots
Published 2025-03-01“…Based on techniques of artificial intelligence (AI) robots equipped with algorithms are becoming more social and intelligent as they enter society. …”
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1390
A Scheduled Activity Energy Aware Distributed Clustering Algorithm for Wireless Sensor Networks with Nonuniform Node Distribution
Published 2014-07-01“…Therefore, in this paper, a new algorithm called scheduled activity EADC (SA-EADC) is proposed. …”
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An Error Tolerated Congestion Control Algorithm Based on Packet Loss Rate Measurement in Deep Space Communication Network
Published 2015-11-01“…Congestion control algorithms of TCP protocol previously used in space communications are mostly based on TCP Vegas algorithm.They always require accurately measurement of RTT,but it's very difficult to achieve in deep space communication networks which have very long and variable delay channel characteristics.An errors tolerated congestion control algorithm is proposed based on packet loss rate measurement.The algorithm sends data in the form of data blocks and gives an errors tolerated degree based on the history data.It measures the congestion state based on the current packet loss rate measurement,so it can achieve a smaller overhead and higher transmission efficiency.In addition,the usage of mathematical modeling methods simplifies the networks and simulates the real network traffic.The mentioned algorithm is compared with the classical congestion control algorithm.Analysis and simulation prove that thethroughput of improved algorithm is 34 percent better than Tahoe and 22 percent better than Reno,so it gets a better performance.…”
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Optimizing production efficiency in semiconductor enterprises by an improve and optimized biogeographical optimization algorithm based on three-layer coding
Published 2024-12-01“…Aiming at the problem of low production efficiency and inability to fully unleash production capacity in current semiconductor enterprises, a production efficiency optimization model for semiconductor enterprises has been studied and constructed. …”
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A parallel implementation of the network identification by multiple regression (NIR) algorithm to reverse-engineer regulatory gene networks.
Published 2010-04-01“…Using current reverse engineering algorithms to analyze large data sets can be very computational-intensive. …”
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Improvement of the Voltage Profile and Loss Reduction in Distribution Network Using Moth Flame Algorithm: Wolaita Sodo, Ethiopia
Published 2021-01-01“…The burning problem of voltage stability improvement current scenario is because of a rise in electricity demands in all sectors. …”
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A VANET-Based A* Route Planning Algorithm for Travelling Time- and Energy-Efficient GPS Navigation App
Published 2013-07-01“…Most current navigation devices or apps, based on the global positioning system (GPS), only adopt static information for route planning. …”
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Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things
Published 2023-06-01“…The current facial recognition success rate is 72%. Therefore, for the subsequent development of the system, it is recommended to increase the success rate of facial recognition and also implement the File Transfer Protocol to ensure better and better system performance.…”
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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms
Published 2025-01-01“…To address this issue, this paper proposes a personalized recommendation algorithm based on Graph Neural Networks (PRAGNN) for teachers’ digital learning models. …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security
Published 2023-01-01“…Artificial neural networks (ANNs) in conjugation with genetic algorithms (GAs) have been demonstrated to be an effective tool for system modelling and optimization in a variety of applications. …”
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