Results 121 to 130 of about 65,281 (258)

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance. [PDF]

Sci Rep
Cannet A, Chane CS, Histace A, Akhoundi M, Romain O, Jacob P, Sereno D, Souchaud M, Bousses P, Sereno D.   +9 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Deep learning (DL)-based advancements in prostate cancer imaging: Artificial intelligence (AI)-based segmentation of ⁶⁸Ga-PSMSA PET for tumor volume assessment. [PDF]

Precis Radiat Oncol
Usmani S, Al Riyami K, Kheruka S, Numani SP, Al Sukaiti R, Ahmed M, Pervez N.   +6 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source

Recent Advances in Functional Liver Volumetry: Emphasis on 99mTc‐GSA SPECT/CT Fusion Imaging

Annals of Gastroenterological Surgery, EarlyView.
Functional liver volumetry enables more accurate assessment of the future liver remnant by integrating anatomical and functional information, improving risk stratification before major hepatectomy. Among available techniques, 99mTc‐GSA SPECT/CT fusion imaging enables precise regional functional assessment and more reliable prediction of post ...
Toru Beppu, Toshiro Masuda, Yasunori Nagayama, Hidetoshi Nitta, Hiromitsu Hayashi   +4 more
wiley   +1 more source

A transformer-based deep learning algorithm for diagnosing spinal infections on axial non-contrast computed tomography images: a dual-center retrospective study. [PDF]

PeerJ
Yu D, Hu Z, Song K, Lu W, Xu J, Zheng J, Kang Y, Hong Y, Chen B.   +8 more
europepmc   +1 more source

Prediction of Long‐Term Prognosis in Patients With Hepatocellular Carcinoma Using the National Clinical Database Risk Calculator

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine the value of the National Clinical Database (NCD) risk calculator in predicting surgical outcomes and long‐term prognosis in patients undergoing resection for hepatocellular carcinoma (HCC). We retrospectively analyzed data from 210 patients with HCC who underwent initial hepatic resection, assessing the relationship ...
Mariko Tsukagoshi, Kenichiro Araki, Norio Kubo, Takamichi Igarashi, Shunsuke Kawai, Kei Hagiwara, Kouki Hoshino, Ryo Muranushi, Ken Shirabe   +8 more
wiley   +1 more source

Decoding the Black Box in Deep Learning Models-Reply. [PDF]

JAMA Otolaryngol Head Neck Surg
Novi SL, Isaiah A.
europepmc   +1 more source