Suggested Topics within your search.
Suggested Topics within your search.
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16421
Neural network backstepping control of OWC wave energy system
Published 2025-03-01“…To address these challenges, this research paper introduces a Chebyshev NN within the BSC framework, leveraging its high approximation accuracy and computational efficiency. …”
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16422
Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices
Published 2025-08-01“…In this study, a random forest algorithm (RF) and Sentinel-2 time series data were applied using the Google Earth Engine platform. …”
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16423
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16424
Ecosystem approach to assessing the effectiveness of socially oriented entrepreneurship
Published 2024-09-01“…In this regard, the importance of social and socially oriented entrepreneurship in achieving the Sustainable Development Goals is increasing. Scientific research discusses various aspects of the phenomenon of social entrepreneurship. …”
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16425
Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data
Published 2025-05-01“…Monitoring complex and dynamic land systems such as tropical agroforests using remote sensing presents a significant challenge in ecological research. Traditional mapping methods are hindered not only by spectral similarity between agroforests and forests, but also by the spatial heterogeneity of forest-agroforest frontiers and the high data demand at large scales is an additional challenge. …”
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16426
Integrated optimization and coordination of cascaded reservoir operations: Balancing flood control, sediment transport and ecosystem service
Published 2025-02-01“…To address the optimization model, an elite mutation‐based multi‐objective particle swarm optimization (MOPSO) algorithm that integrates genetic algorithms (GA) is developed. …”
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16427
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16428
NEURAL NETWORK FORECASTING OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE
Published 2021-03-01“…The subject of the research is the methods of constructing and training neural networks as a nonlinear modeling apparatus for solving the problem of predicting the energy consumption of metallurgical enterprises. …”
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16429
Bio inspired optimization techniques for disease detection in deep learning systems
Published 2025-05-01“…It seeks to tackle the problem by creating bio-inspired optimization methods to enhance efficient and equitable deep learning for illness diagnosis. This work assists researchers in selecting the most effective bio-inspired algorithm for disease categorization, prediction, and the analysis of high-dimensional biomedical data.…”
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16430
Experimental and Numerical Investigation on the Influence of the Rate of Injection (Roi) on Engine Performance for B100 Fuel Control Strategy in Diesel Engines
Published 2020-01-01“…Diesel engines, as one of the main providers of energy supply for modern equipment and transport, are also unfortunately contributing highly to the deterioration of air quality. A recent research path on the limitation of diesel engine emissions is the use of alternative fuel from vegetable or animal fats or oil called biodiesel. …”
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16431
The necessity of the Black Sea region transport structure improvement
Published 2019-12-01“…The author has developed the algorithm of the logistic system product distribution (LSPD) that functions in two directions. …”
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16432
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16433
Real-Time DTM Generation with Sequential Estimation and OptD Method
Published 2025-04-01“…Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. …”
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16434
A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing
Published 2025-03-01“…Recently, the VIIRS EDRs of cloud features have been reprocessed using unified and consistent algorithm for selected periods to minimize or remove the inconsistencies due to different versions of retrieval algorithms as well as input VIIRS sensor data records (SDRs) adopted by different periods of operational EDRs. …”
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16435
Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome
Published 2025-07-01“…After preprocessing, sentiment analysis was performed on 8,864 posts using the VADER algorithm. Topic modeling was conducted on 2,532 posts using Latent Dirichlet Allocation, focusing on posts with at least fifty words to ensure meaningful theme extraction. …”
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16436
Kinematic Sequencing of the Football Pass Using Inertial Motion Analysis
Published 2025-08-01“…The biomechanics of the overhead throw have been heavily researched in baseball players; however, more research is needed on the biomechanics of passing in football quarterbacks…”
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16437
Design and control of a permanent magnet-based robotic system for navigating tetherless magnetic devices in viscous environments
Published 2025-08-01“…The nonlinear inverse kinematic problem is solved using an optimization algorithm. The experimental results of this level of control demonstrate that the mean absolute error and the maximum tracking error of three-dimensional motion control are 1.18 mm and 2.64 mm, respectively. …”
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16438
A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding
Published 2020-01-01“…Motor imagery (MI) is an important part of brain-computer interface (BCI) research, which could decode the subject’s intention and help remodel the neural system of stroke patients. …”
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16439
Stamping of forgings with side outlets of tee-type in a split tool
Published 2025-06-01“…The developed algorithm for designing the technology allows for simplifying and accelerating the process of preparing for the production of forgings. …”
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16440
Few-Shot Learning With Prototypical Networks for Improved Memory Forensics
Published 2025-01-01“…Memory forensics analyzes memory dumps to identify malicious activity, but faces challenges including large and complex datasets, constantly evolving malware threats, and limited labeled data for training algorithms among others. This research introduces a novel approach for malware detection using memory forensics and prototypical networks. …”
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