Results 151 to 160 of about 993 (264)

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, EarlyView.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Da Ye Kim, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Omics exploration of deep-sea biodiversity: data from the "Pourquoi Pas les Abysses?" and eDNAbyss projects. [PDF]

Sci Data
Arnaud-Haond S, Trouche B, Liautard-Haag C, Alain K, Aubé J, Bonhomme F, Brandt MI, Caillarec-Joly A, Cambon MA, Cornette F, Cueff-Gauchard V, Durand P, de Vargas C, Felix C, Fuchs S, Genoscope Technical Team, Günther B, Henry N, Hourdez S, Jollivet D, Le Port AS, Lesongeur F, Maignien L, Comtet-Marre S, Matabos M, Omnes E, Peyret P, Pradillon F, Sarrazin J, Schauberger C, Tran Lu Y A, Ulloa O, Vaz S, Zeppili D, Viard F, Gavory F, Gaz S, Guy J, Jacoby E, Oliveira PH, Samson G, Aury JM, Wincker P, Pesant S, Poulain J, Belser C.   +45 more
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Multimodal Wearable Monitoring of Exercise in Isolated, Confined, and Extreme Environments: A Standardized Method. [PDF]

Methods Protoc
Hejda J, Sokol M, Leová L, Volf P, Tonner J, Hsu WC, Lin YJ, Sugiarto T, Rozložník M, Kutílek P.   +9 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

Impact of Submarine Groundwater Discharge on Microbial Communities in a Highly Anthropized Coastal Lagoon (Mar Menor, SE Spain). [PDF]

Mol Ecol
Romano-Gude D, Dordal-Soriano J, Rodriguez-Puig J, Bravo AG, Alorda-Montiel I, Alorda-Kleinglass A, Diego-Feliu M, Romera-Castillo C, Mallenco-Fornies R, Gilabert J, Garcia-Orellana J, Rodellas V, Ruiz-González C.   +12 more
europepmc   +1 more source

TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors

Advanced Intelligent Systems, EarlyView.
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong, Steven Oh, Wen Fan, Shan Luo, Kaspar Althoefer, Dandan Zhang   +5 more
wiley   +1 more source

Whole-local mechanical analysis and application of long-distance oil and gas pipelines considering dents caused by loading. [PDF]

Sci Rep
Shi Y, Zhang X, Xu L, Chang Y.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

MHF: A multi-task hybrid fusion method for underwater image enhancement based on biological vision. [PDF]

PLoS One
Chi Y, Zhang C.
europepmc   +1 more source