1 Introduction With rapid development in computing power and breakthroughs in deep learning,the concept of“foundation models”has been introduced into the AI ***,foundation models are large models trained on massive ...
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1 Introduction With rapid development in computing power and breakthroughs in deep learning,the concept of“foundation models”has been introduced into the AI ***,foundation models are large models trained on massive data and can be easily adapted to different domains for various *** specific prompts,foundation models can generate texts and images,or even animate scenarios based on the given *** to powerful capabilities,there is a growing trend to build agents based on foundation *** this paper,we conduct an investigation into agents empowered by the foundation models.
This critical review analyzes the effectiveness of performance metrics for Intrusion Detection Systems (IDS) and applies the PRISMA methodology to conduct a systematic review. The investigation focuses on core metrics...
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Feature Selection(FS)is an important data management technique that aims to minimize redundant information in a *** work proposes DENGO,an improved version of the Northern Goshawk Optimization(NGO),to address the FS *...
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Feature Selection(FS)is an important data management technique that aims to minimize redundant information in a *** work proposes DENGO,an improved version of the Northern Goshawk Optimization(NGO),to address the FS *** NGO is an efficient swarm-based algorithm that takes its inspiration from the predatory actions of the northern *** order to overcome the disadvantages that NGO is prone to local optimum trap,slow convergence speed and low convergence accuracy,two strategies are introduced in the original NGO to boost the effectiveness of ***,a learning strategy is proposed where search members learn by learning from the information gaps of other members of the population to enhance the algorithm's global search ability while improving the population ***,a hybrid differential strategy is proposed to improve the capability of the algorithm to escape from the trap of the local optimum by perturbing the individuals to improve convergence accuracy and *** prove the effectiveness of the suggested DENGO,it is measured against eleven advanced algorithms on the CEC2015 and CEC2017 benchmark functions,and the obtained results demonstrate that the DENGO has a stronger global exploration capability with higher convergence performance and ***,the proposed DENGO is used for FS,and the 29 benchmark datasets from the UCL database prove that the DENGO-based FS method equipped with higher classification accuracy and stability compared with eight other popular FS methods,and therefore,DENGO is considered to be one of the most prospective FS ***'s code can be obtained at https://***/matlabcentral/fileexchange/158811-project1.
Inspired by the success of transformers in natural language processing, vision transformers have been proposed to address a wide range of computer vision tasks, such as image classification, object detection and image...
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Twitter is a powerful platform for communication and information sharing but is also susceptible to spreading false information. This false information has adverse consequences for society and can significantly impact...
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In this paper,we study the asymptotic relation between the first crossing point and the last exit time for Gaussian order statistics which are generated by stationary weakly and strongly dependent Gaussian *** is show...
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In this paper,we study the asymptotic relation between the first crossing point and the last exit time for Gaussian order statistics which are generated by stationary weakly and strongly dependent Gaussian *** is shown that the first crossing point and the last exit time are asymptotically independent and dependent for weakly and strongly dependent cases,*** asymptotic relations between the first crossing point and the last exit time for stationary weakly and strongly dependent Gaussian sequences are also obtained.
This study examines the factors that influence the adoption of in-home respite services by family caregivers in Hong Kong, with the aim of addressing the societal challenge of an aging population. The research employs...
This study examines the factors that influence the adoption of in-home respite services by family caregivers in Hong Kong, with the aim of addressing the societal challenge of an aging population. The research employs datascience techniques on a large-scale community project to identify patterns that impact caregivers’ decisions. The findings can inform future policies on caregiver support, enabling the Hong Kong government to design more precise services for family caregivers. The research combines datascience with social science, demonstrating the value of an interdisciplinary approach to address complex societal challenges and to make the results more transparent and explainable.
How to explore fine-grained but meaningful information from the massive amount of social media data is critical but *** address this challenge,we propose the TopicBubbler,a visual analytics system that supports the cr...
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How to explore fine-grained but meaningful information from the massive amount of social media data is critical but *** address this challenge,we propose the TopicBubbler,a visual analytics system that supports the cross-level fine-grained exploration of social media *** achieve the goal of cross-level fine-grained exploration,we propose a new *** the procedure of the workflow,we construct the fine-grained exploration view through the design of bubble-based word *** bubble contains two rings that can display information through different levels,and recommends six keywords computed by different *** view supports users collecting information at different levels and to perform fine-grained selection and exploration across different levels based on keyword *** enable the users to explore the temporal information and the hierarchical structure,we also construct the Temporal View and Hierarchical View,which satisfy users to view the cross-level dynamic trends and the overview hierarchical *** addition,we use the storyline metaphor to enable users to consolidate the fragmented information extracted across levels and topics and ultimately present it as a complete *** studies from real-world data confirm the capability of the TopicBubbler from different perspectives,including event mining across levels and topics,and fine-grained mining of specific topics to capture events hidden beneath the surface.
Improving population health by creating more equitable health systems is a major focus of health policy and planning ***,before we can achieve equity in health,we must first begin by leveraging all we have learned,and...
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Improving population health by creating more equitable health systems is a major focus of health policy and planning ***,before we can achieve equity in health,we must first begin by leveraging all we have learned,and are continuing to discover,about the many social,structural,and environmental determinants of *** must fully consider the conditions in which people are born,grow,learn,work,play,and *** study of social determinants of health has made tremendous strides in recent *** the same time,we have seen huge advances in how health data are collected,analyzed,and used to inform action in the health *** is time to merge these two fields,to harness the best from both and to improve decision-making to accelerate evidence-based action toward greater health equity.
This article presents a novel adaptive control methodology for achieving robust and accurate tracking control of uncertain nonlinear systems using a combination of barrier functions, global sliding mode control, propo...
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This article presents a novel adaptive control methodology for achieving robust and accurate tracking control of uncertain nonlinear systems using a combination of barrier functions, global sliding mode control, proportional-integral-derivative (PID) controllers, and finite time control techniques. The proposed adaptive barrier-function global PID-type control method is designed to handle both matched and unmatched uncertainties and adjust the control parameters in real time to account for changes in system dynamics and perturbations. It efficiently handles both matched and mismatched uncertainties, ensuring precise tracking performance even amid uncertain dynamics and disturbances. The methodology dynamically adjusts control parameters in real time to accommodate changes in system dynamics, enhancing adaptability and performance. The globality of the suggested controller ensures the absence of a reaching phase and establishes the presence of the sliding mode around the surface right from the beginning. The proposed method has also been expanded to address uncertain dynamic systems with both matched and unmatched disturbances, while accounting for actuator faults and input saturation. The efficacy of the proposed methodology is demonstrated through simulation studies and experimental results on a rotary inverted pendulum (RIP) system, showcasing rapid convergence and exceptional tracking capabilities in practical scenarios. The contributions of this research lie in presenting a novel methodology that significantly contributes to the field of nonlinear control systems, offering a robust framework capable of addressing uncertainties in complex nonlinear systems. The results show that the method achieves fast convergence and excellent tracking performance in the presence of uncertainties and disturbances. The proposed adaptive control methodology stands as a promising approach for overcoming the complexities involved in controlling uncertain nonlinear systems, paving t
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