Results 61 to 70 of about 12,514 (265)

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

LLM-Driven Offloading Decisions for Edge Object Detection in Smart City Deployments

Smart Cities
Object detection is a critical technology for smart city development. As request volumes surge, inference is increasingly offloaded from centralized clouds to user-proximal edge sites to reduce latency and backhaul traffic.
Xingyu Yuan, He Li
doaj   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source

Privacy-Preserving and Trustworthy Device-to-Device (D2D) Offloading Scheme

IEEE Access, 2020
In device-to-device (D2D) offloading, frequent offloading to a specific mobile device (i.e., an offloadee) can violate the privacy of a task owner and proper offloading results cannot always be guaranteed due to untruthful mobile devices.
Hosung Baek, Haneul Ko, Sangheon Pack
doaj   +1 more source

HOPE Kids 2: Phase 3, Randomized Trial of Voxelotor in Children With SCD and Conditional Cerebral Blood Flow Velocities

American Journal of Hematology, EarlyView.
ABSTRACT Children with SCD have elevated stroke risk, correlated with cerebral blood flow velocity (CBFV). HOPE Kids 2 was a phase 3, multicenter, double‐blind, placebo‐controlled trial evaluating the effect of voxelotor on CBFV. Participants aged 2 to < 15 years with SCD (HbSS/HbSβ0) and conditional CBFV (170 to < 200 cm/s) were randomized 1:1 to ...
Halima Bello‐Manga, Shehu Umar Abdullahi, Hoda Hassab, Biobele Brown, Videlis Nduba, Jessie Githanga, Adeseye Michael Akinsete, Amal El‐Beshlawy, Diana Hanna, Catherine Segbefia, Iheanyi Okpala, Azza Tantawy, Bernhards Ogutu, Venée N. Tubman, Vivian Paintsil, Yasser Wali, Mohammed Essa, Paul Telfer, Sandy Dixon, Anne Hickman, Jennifer F. Doss, Mark W. Davis, Jeremy Rupon, Fenella J. Kirkham, R. Clark Brown, on behalf of the HOPE Kids 2 Investigators, Amal El‐Beshlawy, Mohamed Badr, Diana Hanna*, Hoda Hassab, Azza Tantawy, Vivian Paintsil, Catherine Segbefia, Raffaella Colombatti, Daniela Cuzzubbo, Silverio Perrotta, Jessie Githanga, Videlis Nduba, Bernhards Ogutu, Shehu Umar Abdullahi, Adeseye Michael Akinsete, Halima Bello‐Manga, Biobele Brown, Iheanyi Okpala, Yasser Wali, Mohammed Essa, Banu Kaya, Paul Telfer, Ofelia Alvarez, Natasha Archer, Shayla Bergmann, R Clark Brown, Andrew Campbell, Carlton Dampier*, Richard Hurwitz, Erin Jackson, Janet Kwiatkowski, Melissa M. McNaull*, Venée N. Tubman   +58 more
wiley   +1 more source

The development of social offloading

Journal of Experimental Child Psychology
Across two experiments, we explored the conditions under which 4- to 11-year-old children (N = 138) were more likely to seek social cognitive helpers and whether they preferentially relied on help from those that had previously shown proficiency in a relevant cognitive context.
Armitage, Kristy L., Li, Chantal, Ng, Shu Lin, Redshaw, Jonathan   +3 more
openaire   +4 more sources

Can a Chatbot Help Heal a Wound? Context-Aware Prompts for Boosting Adherence in Diabetic Foot Ulcers

Diabetology
Background: Smart offloading technologies enable the real-time, objective monitoring of adherence in patients with diabetic foot ulcers (DFUs). Although remote tracking may reinforce adherence and improve wound healing, effectiveness depends on sustained
Aria Rabet, Aminreza Khandan, Arian Rabet, Mohammad Dehghan Rouzi, Fabiola Rodriguez, Adriana Garibay, David G. Armstrong, Bijan Najafi   +7 more
doaj   +1 more source

Shadow Infrastructures of Labour: A Case Study of Generative AI Use in Victorian Child Protection Practice

Australian Journal of Social Issues, EarlyView.
ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping ...
Joel Robert McGregor, Linus Tan, Caleb Lloyd, Abigail Sheed   +3 more
wiley   +1 more source

Offloading for Edge Computing in Low Power Wide Area Networks With Energy Harvesting

IEEE Access, 2019
Edge computing and low power wide area networks (LPWANs) have been recognized as promising technologies in the Internet of Things (IoTs) era to provide massive wireless devices with enhanced computation and low-power, long-distance communication ...
Hai Lin, Zhihong Chen, Lusheng Wang
doaj   +1 more source

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source