Results 171 to 180 of about 30,189 (295)

Small‐Scale Magnetic Soft Robots for Medical Applications: From Laboratory to Clinical Use

SmartBot, EarlyView.
Small‐scale magnetic soft robots are emerging as promising platforms for minimally invasive diagnosis and therapy in complex in vivo environments. This review compares untethered and tethered medical magnetic robots in parallel across five translational stages, from basic performance testing to clinical evaluation.
Xingxing Ke, Shizhi Li, Tianrui Zhang, Yue Zhong, Songyang Li, Shuo Zhang, Zhiping Chai, Menghao Pu, Zisheng Zong, Haochen Yong, Xingxing Dong, Lanting Huang, Zhen Deng, Shuaizheng Yan, Yue Zhang, Zhaoju Zhu, Mingzhu Zhu, Linze Li, Ruiquan Chen, Shu Zhang, Chong Wu, Di Wu, Lei Yang, Rui Chen, Tongzhi Niu, Hongling Qin, Han Ding, Bingwei He, Siqi Wu, Zhigang Wu   +29 more
wiley   +1 more source

A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes. [PDF]

PeerJ Comput Sci
S S, P M JP.
europepmc   +1 more source

Analysis Of Bread Demand Forecasting Using Recurrent Neural Network (RNN) Method Based On Operational Delivery Data

Accurate demand forecasting plays a vital role in optimizing inventory and distribution planning, especially for perishable goods such as bread. This study develops a time series forecasting model using a Recurrent Neural Network (RNN) with a Sequential ...
Saputro, Harinudin, Sarwani, Mohammad Zoqi, Hariyanto, Rudi   +2 more
core   +2 more sources

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
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, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

A caveat regarding the unfolding argument: implications of plasticity. [PDF]

Neurosci Conscious
O'Reilly-Shah VN, Selvitella AM, Schurger A.   +2 more
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study. [PDF]

JMIR AI
Mao B, Xie Z, Rasmy L, Nigo M, Zhi D.
europepmc   +1 more source

A context-free model of savings in motor learning. [PDF]

Elife
Shahbazi M, Codol O, Michaels JA, Gribble PL.   +3 more
europepmc   +1 more source