Results 141 to 150 of about 112,572 (287)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Cloud Computing for Natural Disasters and Emergency Response Simulation Games [PDF]
openaire +1 more source
ABSTRACT Excessive water production in mature oil fields necessitates robust shut‐off treatments, yet conventional polymer gels often fail under high‐temperature and high‐salinity conditions. This study aims to enhance gel thermal stability and mechanical strength by incorporating selenium‐doped Ag/AgO–ZnO nanocomposites synthesized via a novel green ...
Fadhil F. Sead +8 more
wiley +1 more source
Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira +7 more
wiley +1 more source

