Results 211 to 220 of about 12,154 (259)

Epigenetics is all you need: A transformer to decode chromatin structural compartments from the epigenome. [PDF]

PLoS Comput Biol
Dodero-Rojas E, Mendieta A, Fehlis Y, Mayala N, Contessoto VG, Onuchic JN.   +5 more
europepmc   +1 more source

Dual Entropy Source Physical Unclonable Functions of Reconfigurable Feedback Field‐Effect Transistors with Polycrystalline Silicon Channels

Advanced Intelligent Systems, EarlyView.
Physically unclonable functions (PUFs) of reconfigurable feedback field‐effect transistors (R‐FBFETs) with polycrystalline silicon channels are designed for dual entropy sources. The uniqueness and reliability of the dual entropy source PUF are verified by inter‐ and intra‐Hamming distances of 49.13% and 3.47%, respectively, as well as NIST statistical
Taeho Park, Yunwoo Shin, Hyojoo Heo, Kyoungah Cho, Sangsig Kim   +4 more
wiley   +1 more source

Cardiac safety of bedaquiline, delamanid and moxifloxacin co-administered with or without varying doses of sutezolid or delpazolid for the treatment of drug-susceptible TB. [PDF]

J Antimicrob Chemother
Koele SE, Stoycheva K, Mtweve C, Manyama C, Mpagama S, Mhimbira F, Wallis R, Ntinginya NE, Liyoyo A, Huglin B, Minja LT, Wagnerberger L, Zumba T, Noreña I, Peter DD, Beattie T, Makkan H, Sloan DJ, Te Brake L, Aarnoutse RE, McHugh TD, Wildner L, Schildkraut J, Aldana BH, Phillips PPJ, Hoelscher M, Svensson EM, Heinrich N, PanACEA consortium .   +28 more
europepmc   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Automaticity speeds the retrieval of instances from the human hippocampus. [PDF]

Proc Natl Acad Sci U S A
Zhang Y, Chen J, Woodman GF, Lin R, Chen F, Weng X, Jensen O, Theeuwes J, Wang B.   +8 more
europepmc   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

DOT-AE-GAN: a hybrid autoencoder-GAN model for enhanced ultrasound-guided diffuse optical tomography reconstruction. [PDF]

J Biomed Opt
Hossain MI, Xue M, Wang L, Zhu Q.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source