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Automated abnormalities detection in mammography using deep learning
Breast cancer is the second most prevalent cause of cancer death and the most common malignancy among women, posing a life-threatening risk....
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Prototype as query for few shot semantic segmentation
Few-shot Semantic Segmentation (FSS) was proposed to segment unseen classes in a query image, referring to only a few annotated examples named...
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Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation
Natural answer generation is in a very clear practical significance and strong application background, which can be widely used in the field of...
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Automatic control of UAVs: new adaptive rules and type-3 fuzzy stabilizer
Unmanned Aerial Vehicles (UAVs) have become important in an extensive range of fields such as surveillance, environmental monitoring, agriculture,...
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A hybrid machine learning framework for intrusion detection system in smart cities
Smart cities leverage technologies such as Cloud computing, the Internet of Things (IoT), artificial intelligence (AI), and data analytics to collect...
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An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots
This work presents an evaluation of CNN models and data augmentation to carry out the hierarchical localization of a mobile robot by using...
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Multi-view subspace clustering based on multi-order neighbor diffusion
Multi-view subspace clustering (MVC) intends to separate out samples via integrating the complementary information from diverse views. In MVC, since...
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Reparameterized underwater object detection network improved by cone-rod cell module and WIOU loss
To overcome the challenges in underwater object detection across diverse marine environments—marked by intricate lighting, small object presence, and...
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A multi-period intuitionistic fuzzy consensus reaching model for group decision making problem in social network
A new intuitionistic fuzzy consensus reaching model is developed with multi-period public opinions and expert evaluation values in social network...
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A granularity data method for power frequency electric and electromagnetic fields forecasting based on T–S fuzzy model
The impact of electromagnetic radiation generated by signal transmission base stations and power stations to meet the needs of communication...
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Improving the reliability of nanosatellite swarms by adopting blockchain technology
Satellite swarm networks have occupied a prominent position in many modern applications due to their low cost, simplicity of design, and flexibility....
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Real-time detection of bearing faults through a hybrid WTMP analysis of frequency-related states
The paper’s primary focus is on the monitoring of vibration signals and introduces an innovative method for the detection of bearing faults in...
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Optimized Selection Method of Air Combat Course of Action under Stochastic Uncertainty
Aiming at the design problem of aviation swarm combat course of action (COA), considering the influence of stochastic parameters in the causal...
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Optimal saturated information load analysis for enhancing robustness in unmanned swarms system
Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload...
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Evaluating renewable energy projects using fuzzy bipolar soft aggregation and entropy weights
The fuzzy bipolar soft set (FBPSS) introduces a novel approach that surpasses the information capacity of conventional fuzzy soft set. The core aim...
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On efficiency and accuracy of sparse identification of bistable nonlinear energy sink chains
Bistable nonlinear energy sinks have been widely studied in energy harvesting and vibration absorption systems. The precise identification of local...
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Optimal time reuse strategy-based dynamic multi-AGV path planning method
The window strategy, known for its flexibility and efficiency, is extensively used in dynamic path planning. To further enhance the performance of...
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Reinforced robotic bean optimization algorithm for cooperative target search of unmanned aerial vehicle swarm
Increasing attention has been given to the utilization of swarm intelligent optimization algorithms to facilitate cooperative target search of...
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Self-supervised multi-object tracking based on metric learning
The current paradigm of joint detection and tracking still requires a large amount of instance-level trajectory annotation, which incurs high...
