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Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets
The recent boom in crowdsourcing has opened up a new avenue for utilizing human intelligence in the realm of data analysis. This innovative approach...
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AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing
In recent times, edge computing has arisen as a highly promising paradigm aimed at facilitating resource-intensive Internet of Things (IoT)...
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A Novel Autoencoder for Task-Driven Object Segmentation
Salient object segmentation has attracted increasing attention in recent years. Though a lot of works based on autoencoder have been made, these...
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Task-Driven Neural Natural Language Interface to Database
Natural language querying offers an intuitive and user-friendly interface. A Natural Language Interface over databases, often termed as...
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Task-Driven Compression for Collision Encoding Based on Depth Images
This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to...
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Efficient straggler task management in cloud environment using stochastic gradient descent with momentum learning-driven neural networks
In the modern era, large-scale computing systems distribute tasks into smaller units, allowing them to be executed simultaneously, accelerating job...
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HTD: heterogeneous throughput-driven task scheduling algorithm in MapReduce
As one of the most popular parallel data processing models, data analysis system MapReduce has been widely used in many fields. Task scheduling is...
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Task-Driven Prompt Evolution for Foundation Models
Promptable foundation models, particularly Segment Anything Model (SAM) [3], have emerged as a promising alternative to the traditional task-specific...
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Alert and on task: decoding how mental alertness and workload influence maritime operators task performance using task network modeling
The rapid technology growth in the maritime defense sector demands efficient and effective human performance, particularly in roles involving...
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Semantically-Driven Secure Task Execution over Wireless Sensor Networks
The growing adoption of low-cost sensors is raising valid concerns with regards to data, user, computation, and network privacy. In this paper we...
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Joint service-function deployment and task scheduling in UAVFog-assisted data-driven disaster response architecture
It is critical but challenging to provide efficient information services to support disaster-response operations in disaster-hit areas. A...
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MTFP: matrix-based task-fog pairing method for task scheduling in fog computing
In the present era of seamless connectivity which demands enormous smart devices to be allied and send data to the cloud, it seems imperative to...
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Efficient computation for task offloading in 6G mobile computing systems
This research focuses on achieving efficient computation for complex tasks within the overlap** coverage of 6G network base stations. A...
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MusicFace: Music-driven expressive singing face synthesis
It remains an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music. In this paper, we present a...
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AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant
A long-standing goal of intelligent assistants such as AR glasses/robots has been to assist users in affordance-centric real-world scenarios, such as...
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Emotion-Aware Music Driven Movie Montage
In this paper, we present Emotion-Aware Music Driven Movie Montage, a novel paradigm for the challenging task of generating movie montages....
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Multimodal attention-driven visual question answering for Malayalam
Visual question answering is a challenging task that necessitates for sophisticated reasoning over the visual elements to provide an accurate answer...
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Interpretable Task-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints
Existing methods for filter pruning mostly rely on specific data-driven paradigms but lack the interpretability. Besides, these approaches usually...
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Open-Vocabulary Text-Driven Human Image Generation
Generating human images from open-vocabulary text descriptions is an exciting but challenging task. Previous methods (i.e., Text2Human) face two...
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Autonomy Evaluation of Unmanned Systems Based on Task Models
In this study, relevant work on autonomy evaluation (AE) in recent years was comprehensively reviewed and classified from the perspective of task...