Results 91 to 100 of about 26,650 (217)
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni +9 more
wiley +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo +7 more
wiley +1 more source
In Vitro Reconstruction of Axonal Heat Sensing with a Photothermal Nerve‐on‐a‐Chip
A photothermal nerve‐on‐a‐chip platform is presented that enables precise, localized heating of sensory axons with simultaneous electrical recording. The system reveals millisecond‐scale dynamics of heat‐evoked neural activity and provides a new approach to study how temperature‐dependent ion channel behavior is translated into axonal firing.
Koji Sakai +6 more
wiley +1 more source
Our aim was to examine the significance of single-fiber electromyography (SFEMG) in patients diagnosed with amyotrophic lateral sclerosis (ALS) and determine the best correlating parameter with SFEMG parameters and clinical scales across different ...
Rostás Róbert +4 more
doaj +1 more source
Performing Integrity: Managing Misalignment while Researching Transgressive Social Worlds
The qualitative literature criticizing REBs suggests that researchers should develop an approach to research ethics that does justice to their daily practice of fieldwork. In this article, I contribute to this exploration by presenting three cases of negotiating research ethics while researching transgressive social worlds.
Thaddeus Müller
wiley +1 more source
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
ABSTRACT Objective The optimal duration of voice rest after phonomicrosurgery remains a subject of debate, as clinical studies on its effect on vocal fold wound healing have yielded conflicting results, and a controlled animal model for investigating voice rest is currently unavailable. This study aimed to determine the optimal postoperative voice rest
Lin‐Lin Lan +2 more
wiley +1 more source
Dynamic Pipeline Scheduling for Hybrid Edge Collaboration in Multi‐Modal LLM Inference
A hybrid edge‐collaboration paradigm is proposed that combines in‐device NPU/DLA–GPU co‐inference with across‐device model‐parallel pipelines to accelerate Multi‐modal Large Language Model inference. A UCB‐based dynamic scheduling algorithm maximizes system throughput while meeting latency constraints, achieving significant speedups over single‐device ...
He Li
wiley +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source

