A consistent preprocessing pipeline applied to 14 mind wandering datasets reveals varying detection performance across modalities and models, with open code for future work.
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A systematic mapping study of 87 papers derives an architecture-based taxonomy for Workflow as a Service brokers and identifies future research directions.
TwinLiteNet+ is a hybrid-encoder multi-task segmentation model with new UCB, USB, and PCAA modules that reports 92.9% mIoU on drivable area and 34.2% IoU on lane segmentation on BDD100K while using 11x fewer FLOPs than prior models.
citing papers explorer
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Automatic Mind Wandering Detection in Educational Settings: A Systematic Review and Multimodal Benchmarking
A consistent preprocessing pipeline applied to 14 mind wandering datasets reveals varying detection performance across modalities and models, with open code for future work.
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Workflow as a Service Broker in Cloud Environment: A Systematic Mapping Study
A systematic mapping study of 87 papers derives an architecture-based taxonomy for Workflow as a Service brokers and identifies future research directions.
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TwinLiteNet+: An Enhanced Multi-Task Segmentation Model for Autonomous Driving
TwinLiteNet+ is a hybrid-encoder multi-task segmentation model with new UCB, USB, and PCAA modules that reports 92.9% mIoU on drivable area and 34.2% IoU on lane segmentation on BDD100K while using 11x fewer FLOPs than prior models.