Results 191 to 200 of about 35,695 (318)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Along- and Cross-Track Relocation for Ground Moving Target in a Squint Multichannel SAR System. [PDF]
Huang Z, Liu A, Zhang R, Li L, Cai J.
europepmc +1 more source
Recent Advances in Programmable Metasurfaces and Meta‐Devices
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao +4 more
wiley +1 more source
StratGAN: Conditional Adversarial Network for Permittivity Inversion of Borehole Radar Data in Stratified Media. [PDF]
Qing S +8 more
europepmc +1 more source
Ce manuscrit concerne une synthèse de mes travaux de recherches menés au sein de l'Onera sur les images polarimétriques radar de télédétection. Un radar polarimétrique permet de mesurer un plus grand nombre de paramètres qu'un radar monocanal en exploitant la nature vectorielle de l'onde électromagnétique.
openaire +1 more source
2D Materials Empowered Radar Absorbing Materials: A Review
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong +4 more
wiley +1 more source
Letter Re: "Artificial intelligence-powered real-time multimodal model for predicting recurrence and survival in head and neck cancer: a multicenter, multinational study". [PDF]
Li N, Liu X, Zhang S.
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Streamlined V3.5+ Electrolyte Production by Leveraging Chemical and Catalytic Reductions
A tuned catalytic process for V3.5+ electrolyte production is shown to streamline the conventional chemical‐to‐catalytic sequence by extending catalysis into the rate‐determining reduction regime. This study shows that initiating catalysis in this regime shortens the overall production time by 67% based on rigorous thermodynamic and kinetic analysis of
Kyunghwa Seok +2 more
wiley +1 more source

