THE ROLE OF CONVOLUTIONAL NEURAL NETWORK (CNN) AND RECURRENT NEURAL NETWORK (RNN) ON LEADERSHIP AND WORKFORCE AGILITY IN UMSU POSTGRADUATE PROGRAMS [PDF]
Convolutional Neural Network (CNN) is a development of Multilayer Perceptron (MLP) designed to process and classify data. Recurrent Neural Network (RNN) is an artificial neural network architecture known for its good performance as it processes input ...
ayadi, B. Herawan H +2 more
core +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 SciS S, P M JP.
europepmc +1 more source
SmartBot, EarlyView.World models let robots imagine alternative futures, such as successfully grasping a glass or dropping it, but visual plausibility alone does not establish trustworthiness. Here, the authors review structural constraint, reality anchoring, and trust adjudication as complementary mechanisms for shaping generation, grounding predictions in real evidence,
Chenwei Shi +3 more
wiley +1 more source
Small, EarlyView.This mini review highlights how machine learning can accelerate the design of programmable nanosystems. It summarizes data‐driven approaches for predicting liposome properties, guiding DNA origami design and image analysis, and optimizing emerging liposome‐DNA hybrid platforms.
Daniel Q. Zhang, Matthew A. B. Baker
wiley +1 more source
Smart Molecules, EarlyView.AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
Pretraining of Embodied Recurrent Networks Bridges the Gap Between Artificial and Cortical Neural Activities. [PDF]
Biomimetics (Basel)Bu X, Jiang H, Guo T, Li H, Chen Y.
europepmc +1 more source
Small Methods, EarlyView.A moisture‐wicking Janus bilayer triboelectric nanogenerator (MW‐JBT) that integrates directional moisture transport with dielectric‐engineered electrospun nanofibers was developed. When incorporated into a plantar sensing system and combined with a deep learning algorithm, the MW‐JBT achieved a fall‐detection accuracy of 88.5%. This study demonstrates
Junzhe Gan +3 more
wiley +1 more source
Analyzing rescaling, discretization, and linearization in RNNs for neural system modeling. [PDF]
Front Comput NeurosciCaruso M, Jarne C.
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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 +2 more
wiley +1 more source
Awareness of being: a computational neurophenomenological model of mindfulness, mind-wandering, and meta-attentional control. [PDF]
Neurosci ConsciousIdei H, Suzuki K, Yamashita Y.
europepmc +1 more source