Results 111 to 120 of about 6,697,803 (274)
IEEE AccessThe outsourcing protocols for Eigen-Decomposition (ED) and Singular Value Decomposition (SVD) proposed by Zhou and Li (2016) offer intriguing advancements but are susceptible to malicious behavior by cloud entities.
Satyabrat Rath, Jothi Ramalingam
doaj +1 more source
Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity
Advanced Optical Materials, EarlyView.A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio +10 more
wiley +1 more source
MDSVDNV: predicting microbe-drug associations by singular value decomposition and Node2vec. [PDF]
Front Microbiol, 2023 Tan H +5 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Singular value decomposition in DNA microarrays
, 2004 Friedland, Shmuel. (2004). Singular value decomposition in DNA microarrays.
Friedland, Shmuel
core
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
QUANTUM SINGULAR VALUE DECOMPOSITION BASED APPROXIMATION ALGORITHM
, 2010 Singular Value Decomposition (SVD) is one of the most useful techniques for analyzing data in linear algebra. SVD decomposes a rectangular real or complex matrix into two orthogonal matrices and one diagonal matrix.
SANDOR IMRE, LASZLO GYONGYOSI
core +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Singular Value Decomposition Guided Image Compression [PDF]
This paper presents singular value decomposition (SVD), a major technique to matrix decomposition. SVD functions as the fundamental scientific instrument of numerous applications including principal component analysis (PCA), matrix approximation, Eigen ...
Alam, Md.Ashraful +3 more
core +1 more source
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
Advanced Robotics Research, EarlyView.A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source