Results 121 to 130 of about 182,378 (301)

An autonomous network of acoustic detectors to map tiger risk by eavesdropping on prey alarm calls

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tiger population recovery brings with it increased fatalities from human‐tiger conflict. We describe a network of autonomous intelligent passive acoustic sensors that monitor the forest for deer alarm calls as a proxy for tiger risk and provide a risk map to local communities in real‐time.
Arik Kershenbaum   +9 more
wiley   +1 more source

Clinical, diagnostic and surgical characterization of patients with acute mediastinitis due to cervical and thoracic esophageal perforation

open access: yesMedisan, 2017
A descriptive and cross-sectional study of 30 patients with acute mediastinitis due to esophageal perforation, who were surgically intervened at "Saturnino Lora Torres" TeachingClinicalSurgicalProvincialHospitalwas carried out in Santiago de Cubafrom ...
Ana María Nazario Dolz   +4 more
doaj  

A Multi‐Node Wearable Monitoring System for Firefighters With Edge AI and LoRa‐BLE Heterogeneous Communication

open access: yesSafety Science and Technology, EarlyView.
A multinode wearable system tailored for firefighters is presented, featuring LoRa‐BLE heterogeneous communication and edge‐side deep learning. It integrates a lightweight 1D‐CNN for real‐time posture recognition and an adaptive Physiological Strain Index (aPSI) model, ensuring reliable status monitoring and safety warning in complex fireground ...
Chongyuan Ni   +8 more
wiley   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Factores predictivos de conversión en la apendicectomía videolaparoscópica

open access: yesMedisan
Introducción para el tratamiento de pacientes con apendicitis aguda, la vía videolaparoscópica se ha convertido en la técnica de elección. Desafortunadamente, en ocasiones es necesario convertir el procedimiento a cirugía convencional.
Erian Jesús Domínguez González   +2 more
doaj  

LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like

open access: yes
Large language models (LLMs) achieve remarkable performance across diverse tasks but face increasing GPU-memory demands due to the growing variety and complexity of downstream tasks. Efficient inference has thus become essential, especially for resource-limited settings.
Han, Yibo   +6 more
openaire   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam   +9 more
wiley   +1 more source

Hemodilución normovolémica aguda en pacientes expuestos a cirugía de revascularización coronaria

open access: yesMedisan, 2015
Introducción: la cirugía cardíaca ocasiona profundas alteraciones fisiopatológicas, con un elevado riesgo de pérdidas sanguíneas y el consecuente peligro para la vida. Objetivo: evaluar el uso de la hemodilución normovolémica aguda en pacientes expuestos
Michel Vinent Oduardo   +4 more
doaj  

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li   +5 more
wiley   +1 more source

La clase según lo establecido en reglamentos ministeriales cubanos

open access: yesMedisan
A pesar de su perfeccionamiento desde el punto de vista tecnológico y de la aplicación generalizada de los métodos activos de enseñanza, la clase constituye un problema tangible que se evidencia principalmente durante la promoción de los profesores a ...
Zenén Rodríguez Fernández   +4 more
doaj  

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