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281
Modified Meerkat Clan Algorithm for Association Rules Mining
Published 2024-05-01“…In addition, the MCC-ARM uses condensation method in the adjacency search process to prevent the algorithm from falling into the local mode. In order to prove their efficiency, it should be applied on four reliable datasets (i.e. …”
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282
Local Outlier Detection Method Based on Improved K-means
Published 2024-07-01“…A local outlier detection method, named KLOD (local outlier detection based on improved K-means and least squares methods), is developed to achieve precise detection of local outliers.Methods The K-means clustering algorithm is characterized by hard clustering, meaning that after clustering the dataset, each data point has a clear association with one cluster or another. …”
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283
Autonomous QoS Management and Policing in Unmanaged Local Area Networks
Published 2015-01-01“…In this paper, we present the research work on a novel autonomous system for hybrid QoS in local area networks, called QoSiLAN, which does not rely on network infrastructure support but on host cooperation and works independently of the access technology. …”
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284
Locality-guided based optimization method for bounded model checker
Published 2018-03-01“…For software model checking,approaches that combine with different kind of verification methods are now under research.The key to improve scale and complexity of verifiable software is handling the method for abstraction widening and strengthening wisely and precisely.To archive that,using extra knowledge that extracted from programming pattern or learned through verifying procedure to help eliminate the redundant state has been proved effective.Definition of program locality was given.It took the important role in accelerating software verification,then the strategy was raised and an algorithm was implemented to take advantage of program locality.This method exploits the features of modern BMC (bounded model checker) and scales up the capability of its power in large scale and comprehensive software modules.…”
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285
Quantitative study of local defects by pulsed eddy current testing
Published 2024-12-01“…The simulation results demonstrate that the method presented in this paper can effectively quantify defects with a high degree of precision. In conclusion, the research presented in this paper offers a significant advancement in the field of PECT by providing a robust method for the accurate quantification of localized defects. …”
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286
Deep Learning-Based Sound Source Localization: A Review
Published 2025-07-01“…Despite these advancements, current approaches face three core challenges: the insufficient integration of physical principles, prohibitive data annotation costs, and the trade-off between real-time performance and accuracy. Future research should prioritize physics-informed modeling to embed acoustic propagation mechanisms, unsupervised domain adaptation to reduce reliance on labeled data, and sensor-algorithm co-design to optimize hardware-software synergy. …”
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287
Navigation in brain networks is possible using only local measures
Published 2025-06-01“…Abstract A major question in neuroscience is how the brain structure facilitates its complex functions via the synchronous activity of separate parts of the brain. Recent research has indicated that the mechanisms underlying this facilitation are based on local interactions between neurons. …”
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288
On precise path planning algorithm in wireless sensor network
Published 2018-07-01“…Different path planning schemes have been proposed for localization. Here, this study focused only on static path planning scheme. …”
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289
Advancing wildfire prediction in Nepal using machine learning algorithms
Published 2025-01-01“…Wildfires are increasingly threatening Nepal, particularly during the dry pre-monsoon months (March-May), leading to severe ecological impacts and disruptions to local communities. To improve wildfire prediction and preparedness, this study evaluated four advanced machine learning algorithms—Random Forest, Radial Basis Function Neural Network, Artificial Neural Network, and Support Vector Machine—using comprehensive dataset (2001–2023) of meteorological, topographical, anthropogenic, locational, and vegetation variables. …”
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290
Analysis of macroeconomic factors influencing on local passenger traffic volume
Published 2016-02-01“…The article gives reasons of choice of local service as an object of this research. The author took information about railway transport from ACS Express-3 and information about macroeconomic factors from Federal State Statistics Service to make an economical and statistical analysis for this article. …”
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291
A Review of Common Techniques for Visual Simultaneous Localization and Mapping
Published 2023-01-01“…Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM technology. …”
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292
Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots
Published 2025-01-01“…Because of its low recognition accuracy, slow recognition speed and poor localization accuracy, the traditional algorithm cannot meet the requirements of automatic-harvesting robots. …”
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293
Fungi Infection in Surgical Department. Systemic and Local Antifungal Therapy
Published 2020-05-01“…To determine the frequency of detection of pathogenic fungi in a variety of surgical departments, to track the effectiveness of the developed algorithm of systemic and local antifungal therapy. …”
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294
Leak detection and localization in water distribution systems via multilayer networks
Published 2025-01-01“…The classification values are then analyzed by the z-score and interquartile range algorithms to detect anomalies. The localization process uses a multi-graph approach that combines sensor data and network topology to determine the sensor coverage area. …”
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295
Integrating Indoor Localization Systems Through a Handoff Protocol
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296
Survey of node localization scheme in underwater wireless sensor network
Published 2025-01-01“…To address this issue, the research progress of current underwater localization technologies was systematically reviewed. …”
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297
Comparison of methods for resolving the contributions of local emissions to measured concentrations
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298
An Intelligent Client Selection Algorithm of Federated Learning for Class-imbalance
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299
An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization
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300
RLS-Based Control Algorithms for 3D Zones of Quiet
Published 2008-12-01“…The paper summarises research on application of RLS-based (recursive least squares) adaptive control algorithms for single-channel active noise control (ANC) system, used to create three dimensional (3D) local zones of quiet in a reverberant enclosure by attenuation of tonal disturbances. …”
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