Results 181 to 190 of about 298,347 (266)

A substation robot path planning algorithm based on deep reinforcement learning enhanced by ant colony optimization. [PDF]

Front Robot AI
Zhang H, Sun L, Tan W, Bao S, He X, Chen J.   +5 more
europepmc   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing. [PDF]

Sci Rep
Kunda NSS, Kc P, Pandey M, Kumaar AAN.
europepmc   +1 more source

Neuid: A Novel Neuron‐Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease

Advanced Science, EarlyView.
ABSTRACT The increasing evidence that non‐coding RNAs can become deregulated during pathogenesis is dramatically expanding the space for drug discovery beyond the protein‐coding genome. Long noncoding RNAs (lncRNAs) are emerging as key regulators of cellular function, yet most remain uncharacterized.
Ranjit Pradhan, Zorica Petrovic, M. Sadman Sakib, Sophie Schröder, Dennis Manfred Krüger, Tonatiuh Pena, Eren Diniz, Susanne Burkhardt, Anna‐Lena Schütz, Verena Gisa, Iga Grzadzielewska, Karl Toischer, Thor D. Stein, Jan Krzysztof Blusztajn, Ivana Delalle, Jelena Radulovic, Farahnaz Sananbenesi, Andre Fischer   +17 more
wiley   +1 more source

Automated detection of corruption reports in text via deep reinforcement learning. [PDF]

Sci Rep
Xiao Q.
europepmc   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC

Dao DN, Miao Y.
europepmc   +1 more source

Deep reinforcement learning-based intrusion detection scheme for software-defined networking. [PDF]

Sci Rep
Kanimozhi R, Ramesh PS.
europepmc   +1 more source

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

Deep reinforcement learning for automatic anatomic CT landmark localization in Stanford Type B aortic dissection. [PDF]

Radiol Adv
Bäumler K, Codari M, Mastrodicasa D, Mistelbauer G, Willemink MJ, Walters S, Hinostroza V, Turner V, Chepelev L, Sriprachyakul A, Madani MH, Ewane A, Chen EP, Marsden AL, Desjardins B, Fleischmann D, ROADMAP Group .   +16 more
europepmc   +1 more source