Results 81 to 90 of about 59,770 (264)
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Ensemble-Based Multi-Class and Multi-Label Text Classification for Noisy Clinical Dialogues
Multi-class and multi-label classification of medical dialogues remains a challenging task due to high linguistic variability and transcription noise.
Małgorzata Lucińska +8 more
doaj +1 more source
Midbrain PAG Astrocytes Modulate Mouse Defensive and Panic‐Like Behaviors
Astrocytes in the midbrain periaqueductal gray (PAG) dynamically encode threat intensity and shape defensive action selection in mice. Real‐time Ca2+ imaging reveals robust astrocytic activation during predator odor and CO2 exposure. Aberrant astrocytic Ca2+ overactivation disrupts goal‐directed escape, biases behavior toward freezing, and induces ...
Ellane Barcelon +10 more
wiley +1 more source
A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu +14 more
wiley +1 more source
Depression detection methods based on multimodal fusion of voice and text
Depression is a prevalent mental health disorder, and early detection is crucial for timely intervention. Traditional diagnostics often rely on subjective judgments, leading to variability and inefficiency.
Zhenrong Xu +6 more
doaj +1 more source
Exploring Deep Learning for Multi-Topic Policy Text Classification
As the demand for cross-national policy comparisons intensifies, automating the classification of vast volumes of policy texts through deep learning presents a viable solution to alleviate manual labor and enhance policy matching efficiency.
Chengman Jin +3 more
doaj +1 more source
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source
Unveil Fundamental Graph Properties for Neural Architecture Search
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
AI-Based Classification of IT Support Requests in Enterprise Service Management Systems
In modern organizations, IT Service Management (ITSM) relies on the efficient handling of large volumes of unstructured textual data, such as support tickets and incident reports.
Audrius Razma, Robertas Jurkus
doaj +1 more source

