Results 231 to 240 of about 147,152 (326)
Bayesian machine learning for inverse design of ultra-high-performance concrete. [PDF]
Childs C +6 more
europepmc +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework. [PDF]
Gupta BB +7 more
europepmc +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Quantum inspired qubit qutrit neural networks for real time financial forecasting. [PDF]
Bakshi K, Srinivasan K.
europepmc +1 more source
Model-checking problems, machines and parameterized complexity.
Yijia Chen
openalex +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
YOLOv8-BCD: a real-time deep learning framework for pulmonary nodule detection in computed tomography imaging. [PDF]
Zhu W, Wang X, Xing J, Xu XS, Yuan M.
europepmc +1 more source
Parameterized Complexity of Small Weight Automorphisms
V. Arvind +3 more
openalex +2 more sources
Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source

