Results 71 to 80 of about 16,805 (257)

Application of Mask R-CNN and YOLOv8 Algorithms for Concrete Crack Detection

IEEE Access
The efficient and accurate detection of cracks in concrete structures is critical for maintaining structural integrity and safety. This study compares two state-of-the-art convolutional neural network (CNN) models, Mask R-CNN and YOLOv8, for automated ...
Yongjin Choi, Byongkyu Bae, Taek Hee Han, Jaehun Ahn   +3 more
doaj   +1 more source

Triple‐Level Content‐Addressable Vertical NAND Flash Memory

Advanced Science, EarlyView.
Commercial triple‐level‐cell V‐NAND flash memory is transformed into a compact content‐addressable memory by directly exploiting its eight threshold‐voltage states. A parity‐split search scheme preserves storage density while enabling reliable multi‐level and don't‐care matching. Parallel word‐line search delivers up to 24‐fold higher throughput and 54.
Sung‐Ho Park, Jiseong Im, Yeongheon Yang, Ryun‐Han Koo, Jonghyun Ko, Mingyun Oh, Dongbeen Shin, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems

Advanced Science, EarlyView.
This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu, Siyu Liang, Jingyi Niu, Jie Chen, Shuo Zhang, Hongjian Zhang, Dongsheng Jia, Wei Huang   +7 more
wiley   +1 more source

Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model

CoRR, 2020
Detection performances on bounding box and segmentation mask outputs of Mask R-CNN models are evaluated. There are significant differences in detection performances of bounding boxes and segmentation masks, where the former is constantly superior to the latter.
Haruhiro Fujita, Masatoshi Itagaki, Yew Kwang Hooi, Kenta Ichikawa, Kazutaka Kawano, Ryo Yamamoto   +5 more
openaire   +2 more sources

Mechanophore‐Based Multichannel Colorimetric Force Sensors: Ultrasound‐Driven Stress and Strain Quantification

Advanced Science, EarlyView.
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek, Jeong Hoon Rhee, Skylar K. Osler, Minsoo P. Kim, Shyuan Cheng, Leonardo P. Chamorro, Hyunhyub Ko, Maxwell J. Robb, Gun Kim   +8 more
wiley   +1 more source

Rapid Fine-Grained Classification of Butterflies Based on FCM-KM and Mask R-CNN Fusion

IEEE Access, 2020
Butterfly recognition is a key link in the field of animal and plant observation. In order to realize the location and recognition of butterflies by robot vision system in complex environment, rapid fine-grained classification of butterflies based on the
Aijiao Tan, Guoxiong Zhou, Mingfang He
doaj   +1 more source

Transport–Reaction–Signal Coupling in Lateral Flow Assays for Next‐Generation Point‐of‐Care Diagnostics

Advanced Science, EarlyView.
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan, Yuewei Li, Chao Mi, Zhengwen Yang, Lana McClements, Steven J. Langford, Jiayan Liao   +6 more
wiley   +1 more source

Segmentation Method of Zanthoxylum bungeanum Cluster Based on Improved Mask R-CNN

Agriculture
The precise segmentation of Zanthoxylum bungeanum clusters is crucial for developing picking robots. An improved Mask R-CNN model was proposed in this study for the segmentation of Zanthoxylum bungeanum clusters in natural environments. Firstly, the Swin-
Zhiyong Zhang, Shuo Wang, Chen Wang, Li Wang, Yanqing Zhang, Haiyan Song   +5 more
doaj   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Physics Informed Generative Surrogate Learning for Full Wave Validated Real Time Beamforming in Programmable Metasurfaces

Advanced Electronic Materials, EarlyView.
A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu, Weidong Chen, Chang Chen, Xiang Zhang, Sensong An   +4 more
wiley   +1 more source