Results 91 to 100 of about 16,908,993 (362)

An application of artificial neural network classifier for medical diagnosis [PDF]

, 2013
In recent year, various models have been proposed for medical diagnosis, which broadly can be classified into physical-based approaches and statistical-based approaches. Uncertainty and imprecision are the most important problems in medical diagnosis,
Khaleel Ibraheem, Amjed
core  

Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

Remote Sensing, 2017
Leaf area index (LAI) is an important indicator of plant growth and yield that can be monitored by remote sensing. Several models were constructed using datasets derived from SRS and STR sampling methods to determine the optimal model for soybean ...
Huanhuan Yuan, Guijun Yang, Changchun Li, Yanjie Wang, Jiangang Liu, Haiyang Yu, Haikuan Feng, Bo Xu, Xiaoqing Zhao, Xiaodong Yang   +9 more
semanticscholar   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

ANN Application of the APF Improved for DG Unit System Reliability [PDF]

, 2021
T. Santhosh Kumar, Dr.J. Shanmugam
openalex   +1 more source

ANN-Based Continual Classification in Agriculture

Agriculture, 2020
In the area of plant protection and precision farming, timely detection and classification of plant diseases and crop pests play crucial roles in the management and decision-making.
Y. Li, Xuewei Chao
semanticscholar   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source

Why Zimbabwe needs a long term industrial strategy [PDF]

, 2017
This is a paper by Boston University professor Ann ...
Seidman, Ann
core  

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives

, 2017
We propose a methodology for designing dependable Artificial Neural Networks (ANN) by extending the concepts of understandability, correctness, and validity that are crucial ingredients in existing certification standards.
Cheng, Chih-Hong, Diehl, Frederik, Hamza, Yassine, Hinz, Gereon, Nührenberg, Georg, Rickert, Markus, Ruess, Harald, Troung-Le, Michael   +7 more
core   +1 more source

Artificial Neural Network (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors

Advanced Electronic Materials, 2019
Biorealistic spiking neural networks (SNN) are believed to hold promise for further energy improvement over artificial neural networks (ANNs). However, it is difficult to implement SNNs in hardware, in particular the complicated algorithms that ANNs can ...
Rivu Midya, Zhongrui Wang, Shiva Asapu, S. Joshi, Yunning Li, Ye Zhuo, Wenhao Song, Hao Jiang, Navnidhi Upadhay, Mingyi Rao, Peng Lin, Can Li, Qiangfei Xia, J. Yang   +13 more
semanticscholar   +1 more source