Integrations between autonomous systems and modern computing techniques: a mini review
The emulation of human behavior for autonomous problem solving has been an
interdisciplinary field of research. Generally, classical control systems are used for static …
interdisciplinary field of research. Generally, classical control systems are used for static …
[DOC][DOC] Deep learning-based i-EEG classification with convolutional neural networks for drug-target interaction prediction
KY Kalitin, AA Nevzorov, AA Spasov… - arXiv preprint arXiv …, 2020 - researchgate.net
Drug-target interactions (DTI) prediction has become a foundational task in drug
repositioning, polypharmacology, drug discovery, as well as drug resistance and side-effect …
repositioning, polypharmacology, drug discovery, as well as drug resistance and side-effect …
[PDF][PDF] Detection and Alarm of E-bike Intrusion in Elevator Scene.
H Huang, X Xie, L Zhou - Engineering Letters, 2021 - engineeringletters.com
Object detection has always been a research topic in computer vision. With the deep
learning, conventional object detection can obtain satisfactory results. However, some object …
learning, conventional object detection can obtain satisfactory results. However, some object …
Deep learning analysis of intracranial EEG for recognizing drug effects and mechanisms of action
KY Kalitin, AA Nevzorov, DA Babkov… - arXiv preprint arXiv …, 2020 - arxiv.org
Drug-target interaction (DTI) prediction has become a foundational task in drug
repositioning, polypharmacology, drug discovery, as well as drug resistance and side-effect …
repositioning, polypharmacology, drug discovery, as well as drug resistance and side-effect …
マカクザルの広域皮質脳波に基づき安静閉眼状態と麻酔投与状態を判別する深層学習モデルの開発
小林般， 宗田卓史， 山口博行， 小松三佐子… - … 学会全国大会論文集第 …, 2022 - jstage.jst.go.jp
抄録 皮質脳波 (ECoG) は, 基礎・臨床場面での活用が期待される脳機能計測手法である. しかし,
膨大な多次元時系列データとなるため, 周波数解析など従来の解析では有益な情報が見落とされる …
膨大な多次元時系列データとなるため, 周波数解析など従来の解析では有益な情報が見落とされる …