Results 121 to 130 of about 338,614 (301)
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta +9 more
wiley +1 more source
A survey of class-imbalanced semi-supervised learning [PDF]
Qian Gui, Zhou Hong, Na Guo, Baoning Niu
openalex +1 more source
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said +2 more
wiley +1 more source
Entropy‐guided contrastive learning for semi‐supervised medical image segmentation
Accurately segmenting medical images is a critical step in clinical diagnosis and developing patient‐specific treatment plans. While supervised learning algorithms have achieved excellent performance in this area, they require a large amount of annotated
Junsong Xie, Qian Wu, Renju Zhu
doaj +1 more source
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Exploiting Synthetically Generated Data with Semi-Supervised Learning\n for Small and Imbalanced Datasets [PDF]
María Pérez‐Ortiz +3 more
openalex +1 more source
Supervision Accelerates Pre-training in Contrastive Semi-Supervised\n Learning of Visual Representations [PDF]
Mahmoud Assran +3 more
openalex +1 more source
ABSTRACT Background and Aims Endoscopic submucosal dissection (ESD) for large superficial non‐ampullary duodenal epithelial tumors (SNADETs) poses substantial technical challenges, primarily because of a heightened risk of adverse events (AEs). Laparoscopic and endoscopic cooperative surgery (D‐LECS) was introduced to address these risks, with recent ...
Masaru Hayami +9 more
wiley +1 more source
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings [PDF]
Yi‐Chen Chen +3 more
openalex +1 more source

