Results 131 to 140 of about 28,784 (311)
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger +9 more
wiley +1 more source
Cryptanalytic Extraction of Neural Networks with Various Activation Functions
Originally introduced as a machine learning problem in 1991, model extraction was explicitly cast as a cryptanalytic challenge at CRYPTO 2020 and has since gained increasing prominence in this context.
Xiaokang Qi +4 more
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Pairing-Free Certificateless Signature with Security Proof
Wenhao Liu +4 more
doaj +1 more source
Performance analysis of a security architecture for active networks in Java [PDF]
Internacional Association of Science and Technology for Development - IASTED, Benalmadena, Spain: 8-10 Septiembre, 2003.Active network technology supports the deployment and execution on the fly of new active services, without interrupting the network ...
Hoz, Enrique de la +3 more
core
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Few-shot traffic classification based on autoencoder and deep graph convolutional networks
Traffic classification is a crucial technique in network management that aims to identify and manage data packets to optimize network efficiency, ensure quality of service, enhance network security, and implement policy management. As graph convolutional
Shengwei Xu +4 more
doaj +1 more source
The paper introduces the admissible-edge-dependent weighted average dwell time switching strategy that not only considers the differences and compensation between subsystems, but also takes into account the switching order of subsystems.
Qiang Yu, Lijuan Mao
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
A Lightweight Deep Learning Model for Profiled SCA Based on Random Convolution Kernels
In deep learning-based side-channel analysis (DL-SCA), there may be a proliferation of model parameters as the number of trace power points increases, especially in the case of raw power traces. Determining how to design a lightweight deep learning model
Yu Ou +3 more
doaj +1 more source

