INFERENCE

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A leap forward in compute-in-memory system for neural network inference
《Journal of Semiconductors》2025年第4期5-7,共3页Liang Chu Wenjun Li 
Developing efficient neural network(NN)computing systems is crucial in the era of artificial intelligence(AI).Traditional von Neumann architectures have both the issues of"memory wall"and"power wall",limiting the data...
关键词：neural network von neumann architectures compute memory INFERENCE MEMRISTOR artificial intelligence ai traditional memristor crossbarsare analogue cim 
Systematical identification of regulatory GPCRs by single-cell trajectory inference reveals the role of ADGRD1 and GPR39 in adipogenesis
《Science China(Life Sciences)》2025年第4期1057-1072,共16页Chuan Ye Xuemei Wang Jun Lin Chenyang Wu Yuhua Gao Chenghao Guo Yunxi Liao Ziyan Rao Shaodong Huang Weixuan Chen Ying Huang Jinpeng Sun Dongyu Zhao Changtao Jiang 
supported by the National Natural Science Foundation of China(32270603,31925021,82130022,92357305,82341226,32271232);the National Key Research and Development Program of China(2021YFF1201100,2018YFA0800701);the Fundamental Research Funds for the Central Universities(BMU2021YJ057)。
Adipogenesis is the healthy expansion of white adipose tissue(WAT),serving as a compensatory response to maintain metabolic homeostasis in the presence of excess energy in the body.Therefore,the identification of nove...
关键词：ADIPOGENESIS GPCRS trajectory inference 
A Literature Review on Model Conversion, Inference, and Learning Strategies in EdgeML with TinyML Deployment
《Computers, Materials & Continua》2025年第4期13-64,共52页Muhammad Arif Muhammad Rashid 
Edge Machine Learning(EdgeML)and Tiny Machine Learning(TinyML)are fast-growing fields that bring machine learning to resource-constrained devices,allowing real-time data processing and decision-making at the network’...
关键词：Edge machine learning tiny machine learning model compression INFERENCE learning algorithms 
Target Detection-Oriented RGCN Inference Enhancement Method
《Computers, Materials & Continua》2025年第4期1219-1237,共19页Lijuan Zhang Xiaoyu Wang Songtao Zhang Yutong Jiang Dongming Li Weichen Sun 
supported by the National Natural Science Foundation of China(61806024,62206257);the Jilin Province Science and Technology Development Plan Key Research and Development Project(20210204050YY);the Wuxi University Research Start-up Fund for Introduced Talents(2023r004,2023r006);Jiangsu Engineering Research Center of Hyperconvergence Application and Security of IoT Devices,Jiangsu Foreign Expert Workshop,Wuxi City Internet of Vehicles Key Laboratory.
In this paper,a reasoning enhancement method based on RGCN(Relational Graph Convolutional Network)is proposed to improve the detection capability of UAV(Unmanned Aerial Vehicle)on fast-moving military targets in urban...
关键词：RGCN target detection urban battlefield YOLO visual reasoning 
SSA: semantic structure aware inference on CNN networks for weakly pixel-wise dense predictions without cost
《Frontiers of Computer Science》2025年第2期1-10,共10页Yanpeng SUN Zechao LI 
supported by the National Key R&D Program of China(2022ZD0118802);the National Natural Science Foundation of China(Grant Nos.U20B2064 and U21B2043).
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ground-truth.However,existing methods often incorporate trainable modules to expan...
关键词：class attention maps semantic structure weaklysupervised object localization weakly-supervised semantic segmentation 
Revisiting each fracture size and spatial pattern:Inference from rock mass surface to interior
《Journal of Rock Mechanics and Geotechnical Engineering》2025年第3期1399-1417,共19页Yongqiang Liu Jianping Chen Jiewei Zhan 
supported by the National Natural Science Foundation of China(Grant Nos.41941017 and U1702241).
Estimating fracture size is a fundamental aspect of rock engineering.However,determining the most probable diameter(MPD)from a fracture's surface trace remains challenging in the scientific community.The prevailing me...
关键词：Trace length Fracture size Multi-scanline method STEREOLOGY Spatial pattern Rectangular sampling window 
YOLO-SIFD:YOLO with Sliced Inference and Fractal Dimension Analysis for Improved Fire and Smoke Detection
《Computers, Materials & Continua》2025年第3期5343-5361,共19页Mariam Ishtiaq Jong-Un Won 
supported by a grant from R&D Program Development of Rail-Specific Digital Resource Technology Based on an AI-Enabled Rail Support Platform,grant number PK2401C1,of the Korea Railroad Research Institute.
Fire detection has held stringent importance in computer vision for over half a century.The development of early fire detection strategies is pivotal to the realization of safe and smart cities,inhabitable in the futu...
关键词：Fire detection smoke detection class-balanced dataset you only look once(YOLO) slicing-aided hyper inference(SAHI) fractal dimension generative adversarial network(GAN) diffusion models 
Correction:Inference and prioritization of tissue-specific regulons in Arabidopsis and Oryza
《aBIOTECH》2025年第1期139-139,共1页Honggang Dai Yaxin Fan Yichao Mei Ling-Ling Chen Junxiang Gao 
Correction:aBIOTECH(2024)5:309-324 https://doi.org/10.1007/s42994-024-00176-2 The article Inference and prioritization of tissue-specific regulons in Arabidopsis and Oryza,written by Honggang Dai,Yaxin Fan,Yichao Mei,...
关键词：ARABIDOPSIS PRIORITIZATION INFERENCE ORYZA open access open access publication open choice tissue specific regulons 
A General Scalable Approach for Knowledge Selection based on Iterative Hybrid Encoding and Re-ranking
《Data Intelligence》2025年第1期124-142,共19页Zhisheng Huang Xudong Jia Tao Chen Zhongwei Zhang 
supported by the Wuyi University-Hong Kong-Macao Joint Funding Scheme(No.2022WGALH17);the Research Platform and Project of Universities of Education Department of Guangdong Province,China 2023(No.2023ZDZX1030).
Knowledge selection is a challenging task that often deals with semantic drift issues when knowledge is retrieved based on semantic similarity between a fact and a question. In addition, weak correlations embedded in ...
关键词：Knowledge selection Textual inference Semantic drift Coarse-to-Fine 
Inference for High-Dimensional Streamed Longitudinal Data
《Acta Mathematica Sinica,English Series》2025年第2期757-779,共23页Senyuan Zheng Ling Zhou 
Supported by National Key R&D Program of China(Grant No.2022YFA1003702);National Natural Science Foundation of China(Grant No.12271441)。
With the advent of modern devices,such as smartphones and wearable devices,high-dimensional data are collected on many participants for a period of time or even in perpetuity.For this type of data,dependencies between...
关键词：Debiased lasso high-dimensional inference streamed longitudinal data renewable inference 
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