11,647 Result(s)
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Article
Open AccessIntegration of the Non-linear Time Series GARCH Model with Fuzzy Model Optimized with Water Cycle Algorithm for River Streamflow Forecasting
For managing water resources and operating reservoirs in dynamic contexts, accurate hydrological forecasting is essential. However, it is difficult to track complex hydrological time series with highly non-lin...
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Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
The deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection. Current video-level methods are mostly...
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An empirical study of data sampling techniques for just-in-time software defect prediction
Just-in-time software defect prediction (JIT-SDP) is a fine-grained, easy-to-trace, and practical method. Unfortunately, JIT-SDP usually suffers from the class imbalance problem, which affects the performance ...
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ROMOT: Referring-expression-comprehension open-set multi-object tracking
Traditional multi-object tracking is limited to tracking a predefined set of categories, whereas open-vocabulary tracking expands its capabilities to track novel categories. In this paper, we propose ROMOT (re...
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Open AccessFrom the Lab to the Wild: Examining Generalizability of Video-based Mind Wandering Detection
Student’s shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence...
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A picture fuzzy multi-attribute decision-making approach based on Hamacher Muirhead mean operators
Picture fuzzy set (PFS) concepts are modified versions of fuzzy sets. Picture fuzzy sets cover all aspects of portraying human opinion accurately. In this paper, we create Muirhead mean (MM) operators employin...
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Hybrid arithmetic optimization algorithm with deep transfer learning based microarray gene expression classification model
Microarray gene expression (MGE) data classification is a vital challenge in biomedical and genomics research, designed to understand the difficult relations among genes and numerous biological states. In this...
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AO-SAKEL: arithmetic optimization-based self-adaptive kernel extreme learning for international trade prediction
A country product network data is a format commonly used in international trade that analyses historical trades to create future projections. A country's economic value can be improved by investigating interna...
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An adaptive learning paradigm: event detection through a novel dynamic arithmetic optimization-based ensemble SVM for data stream classification
Data stream mining is the process of generating continuous data stream records such as internet search, phone conversations, sensor data, etc. However it performs huge tasks such as frequency counting, cluster...
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Article
Differential behaviors of calcium-induced calcium release in one dimensional dendrite by Nernst–Planck equation, cable model and pure diffusion model
The source and dynamics of calcium is the key factor that regulates dendritic integration. Apart from the voltage-gated and ligand-gated calcium influx, an important source of calcium is from inner store of en...
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Editorial June 2024 ( Vol 40, Issue 6)
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Intelligent optimization algorithms for control error compensation and task scheduling for a robotic arm
A task scheduling and error control optimization method for robotic arms was developed. The arm’s accuracy after optimization with particle swarm optimization, artificial bee colony, grey wolf optimizer, the g...
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Sex differences of signal complexity at resting-state functional magnetic resonance imaging and their associations with the estrogen-signaling pathway in the brain
Sex differences in the brain have been widely reported and may hold the key to elucidating sex differences in many medical conditions and drug response. However, the molecular correlates of these sex differenc...
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Higher-order derivative of uncertain process and higher-order uncertain differential equation
This paper initializes higher-order uncertain calculus that deals with higher-order differentiation and multiple integration of uncertain process based on uncertainty theory. Fubini theorem and fundamental the...
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Reinforcement learning-based approach for plastic texture surface defects inspection
This paper proposes a novel data-enhanced virtual texture generation network for use in deep learning detection systems. The current methods of data enhancement, such as image flip**, scaling ratios, or Gene...
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Privacy preserving or trap**?
The development and application of artificial intelligence (AI) technology has raised many concerns about privacy violations in the public. Thus, privacy-preserving computation technologies (PPCTs) have been d...
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Open AccessDynamic scheduling problems in theory and practice
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DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images
Unmanned aerial vehicles are increasingly popular due to their ease of operation, low noise, and portability. However, existing object detection methods perform poorly in detecting small targets in densely arr...
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Microbial data augmentation combining feature extraction and transformer network
Microbial data exhibit high dimensionality, feature sparseness, and class imbalance. Popular data augmentation strategies typically generate intersecting or overlap** samples with low diversity. In this pape...
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Reduced implication-bias logic loss for neuro-symbolic learning
Integrating logical reasoning and machine learning by approximating logical inference with differentiable operators is a widely used technique in the field of Neuro-Symbolic Learning. However, some differentia...
