Results 181 to 190 of about 201,162 (313)

Comparison graph of hotel reviews TL AND DL results based on F1-score.

Comparison graph of hotel reviews TL AND DL results based on F1-score.
Imran (10808739), Mejdl Safran (17773521), Maha Ijaz (18283724), Naveed Anwar (272885), Tariq Sadad (18283727), Sultan Alfarhood (17773518)   +5 more
core   +1 more source

Quantum Photothermal Self‐Monitoring Fiber Probes for In Vivo Photothermal Therapy

Advanced Science, EarlyView.
A miniaturized quantum photothermal fiber probe based on a metal/polymer/glass composite optoelectronic fiber that simultaneously guides lightwave and microwave was developed for the first time. The probe achieves enhanced photothermal conversion (13°C/mW, 25°C–120°C range) while providing real‐time self‐monitoring with 0.2°C thermal resolution at the ...
Wanjun Li, Ruixiao Hu, Jie Mao, Jin Wo, Yunsong Zhang, Liang Chen, Ying Liu, Zhibo Li, Yongxin Lin, Minghui Du, Yaofei Chen, Libing Zhou, Tuan Guo   +12 more
wiley   +1 more source

Lightweight and Energy-Aware Intrusion Detection for Industrial IoT Using TinyML and Edge AI. [PDF]

Sci Rep
Nassef L, Alghamdi MI, Chaabane SB, Abbas Q, Alawad WM, Albalawi OH, Alqaisi OI, Fakieh B.   +7 more
europepmc   +1 more source

TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens

Advanced Science, EarlyView.
ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan, Yuqing Zhang, Wangzhe Zhou, Zhaojian Zhang, Xiaoyun He, Xinpeng Jiang, Yiyi Li, Xin He, Jiagui Wu, Yuanmu Yang, Junbo Yang   +10 more
wiley   +1 more source

Harmonized Dual Deep Learning Architectures for Image-Based Diagnostics of Skin Neglected Tropical Diseases: Benchmark Study via Novel Funnel Framework. [PDF]

JMIR Dermatol
Minyilu Y, Yimer MA, Meshesha M.
europepmc   +1 more source

Optimizing Supernova Classification: A Metric-Aware Approach with PR-AUC and F1-score

Photometric classification of Type Ia supernovae (SNe Ia) is essential for cosmological studies but remains challenging due to severe class imbalance and observational noise. While recent studies have explored deep learning models, these approaches are often resource-intensive and complex to interpret.This study aims to develop a computationally ...
openaire   +1 more source

Xenogeneic Mitochondrial Transplantation Improves Selected Age‐Associated Phenotypes in Mice

Advanced Science, EarlyView.
Yak‐derived xenogeneic mitochondrial transplantation improves selected age‐associated phenotypes in mice, enhances mitochondrial functional readouts, and engages host mitochondrial quality‐control pathways. Broad tissue biodistribution, increased ATP production and mtDNA copy number, reduced ROS levels and dysfunctional mitochondria, improved motility ...
Wenpeng Li, Xijia Wang, Yaning Hu, Zhen Yang, Tian Niu, Xingbo Zhao   +5 more
wiley   +1 more source

Two-Step Ensemble Convolutional Neural Networks for Colonoscopic Biopsy Classification Resembling Pathologists' Process. [PDF]

J Korean Med Sci
Yoon H, Alam MR, Thakur N, Jeong S, Hwang G, Lee EJ, Chong Y.   +6 more
europepmc   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental data. [PDF]

Genome Med
Muslu Ö, Bukur T, Riesgo-Ferreiro P, Kher S, Akbarinejad S, Kress L, Gangi Maurici S, Asim MN, Henrich A, Ahmed S, Dengel A, Löwer M, Ibn-Salem J, Sahin U.   +13 more
europepmc   +1 more source