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An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation
Many-objective evolutionary algorithms often struggle to strike a balance between convergence and diversity when solving many-objective optimization...
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UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking
Spoken dialogue systems (SDS) heavily rely on dialogue state tracking (DST) for success. However, providing sufficient computational power for...
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Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources
Economic dispatch is an important issue in the management of power systems and is the current focus of specialists. In this paper, a new...
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Robust fingerprint reconstruction using attention mechanism based autoencoders and multi-kernel autoencoders
AbstractFingerprint recognition technology is widely employed for identity verification and access control across diverse domains in which the...
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Efficient perception, planning, and control algorithm for vision-based automated vehicles
Autonomous vehicles have limited computational resources and thus require efficient control systems. The cost and size of sensors have limited the...
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Implementation of extended kalman filter for localization of ambulance robot
This paper focuses on the implementation of the Extended Kalman Filter for indoor localization of a semi-autonomous Ambulance Robot system named...
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Boiler furnace temperature and oxygen content prediction based on hybrid CNN, biLSTM, and SE-Net models
AbstractFurnace temperature and oxygen content are important parameters reflecting the combustion inside a circulating fluidized bed (CFB) boiler....
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Parameterized multi-perspective graph learning network for temporal sentence grounding in videos
Temporal sentence grounding in videos (TSGV) aims to retrieve video segments from untrimmed videos that semantically matched a given query. Although...
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A continuous-time diffusion model for inferring multi-layer diffusion networks
Inferring multilayer diffusion networks from observed cascades is both crucial and realistic. To infer multilayer diffusion networks, constructing...
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Concept factorization with adaptive graph learning on Stiefel manifold
In machine learning and data mining, concept factorization (CF) has achieved great success for its powerful capability in data representation. To...
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Advancing precision in breast cancer detection: a fusion of vision transformers and CNNs for calcification mammography classification
Breast cancer remains a substantial public health challenge, marked by a rising prevalence. Accurate early detection is paramount for effective...
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Feature ranking based consensus clustering for feature subset selection
Feature subset selection problem is an NP hard problem and there is a need for computationally efficient algorithms that find near optimal feature...
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Example-driven trajectory learner for robots under structured static environment
With the breakthroughs in machine learning and computing infrastructures that have led to significant performance improvements in cognitive robotics,...
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A deep learning strategy for automatic congestive heart failure detection using novel bottleneck attention module
Congestive heart failure (CHF) is a sort of common cardiovascular disease. Artificial vision inspection on electrocardiogram (ECG) has turned into...
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Random forest with differential privacy in federated learning framework for network attack detection and classification
Communication networks are crucial components of the underlying digital infrastructure in any smart city setup. The increasing usage of computer...
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Design optimisation and an experimental assessment of soft actuator for robotic gras**
Many robotic systems face substantial challenges when trying to grasp and manipulate objects. Thought of initially as humanoid automata a century...
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MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network
Heterogeneous Graph (HG) is a data structure composed of various types of nodes and rich relational information, which can accurately show complex...
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Multi-head multi-order graph attention networks
The Graph Attention Network (GAT) is a type of graph neural network (GNN) that uses attention mechanisms to weigh the importance of nodes’ neighbors,...
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Multi-level information fusion Transformer with background filter for fine-grained image recognition
Compared to traditional image recognition, Fine-Grained Image Recognition (FGIR) faces significant challenges due to the subtle distinctions among...
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KnowDT: Empathetic dialogue generation with knowledge enhanced dependency tree
A human-like dialogue system should prioritize expressing empathy towards others, which entails two crucial aspects: (1) semantic cognition and (2)...
