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Identification of key proteins involved in stickleback environmental adaptation with system-level analysis.
In Physiological genomics
Hall Martina, Kültz Dietmar, Almaas Eivind
Environmental adaptation, Machine Learning, Network Biology
Comparison of Automated Acoustic Methods for Oral Diadochokinesis Assessment in Amyotrophic Lateral Sclerosis.
In Journal of speech, language, and hearing research : JSLHR
Novotny Michal, Melechovsky Jan, Rozenstoks Kriss, Tykalova Tereza, Kryze Petr, Kanok Martin, Klempir Jiri, Rusz Jan
Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks.
In Computer methods in biomechanics and biomedical engineering
Çınar Ahmet, Tuncer Seda Arslan
CNN, Electrocardiography, LSTM, arrhythmia, congestive heart failure, normal sinus rhythm
Combining Machine Learning Potential and Structure Prediction for Accelerated Materials Design and Discovery.
In The journal of physical chemistry letters ; h5-index 129.0
Tong Qunchao, Gao Pengyue, Liu Hanyu, Xie Yu, Lv Jian, Wang Yanchao, Zhao Jijun
In Brain informatics
Rawnaque Ferdousi Sabera, Rahman Khandoker Mahmudur, Anwar Syed Ferhat, Vaidyanathan Ravi, Chau Tom, Sarker Farhana, Mamun Khondaker Abdullah Al
Brain computer interface, Machine learning algorithm, Marketing, Neural recording, Neuromarketing
Accurate detection of lameness in dairy cattle with computer vision: A new and individualized detection strategy based on the analysis of the supporting phase.
In Journal of dairy science
Kang X, Zhang X D, Liu G
computer vision technology, dairy cattle, deep learning, lameness detection, supporting phase