المؤلفون: Hyunjun Ko, Jin-Ku Kang, Yongwoo Kim

المصدر: IEEE Access, Vol 12, Pp 123771-123781 (2024)

مصطلحات موضوعية: Computer vision, convolutional neural network, inference time, network compression, pruning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10664567/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/63cfae2d75234feca5dd66f837b0d494

المؤلفون: Nugroho, Emmanuel Agung, Setiawan, Joga Dharma, Munadi, Munadi, Diki, Diki

المصدر: Journal of Mechatronics, Electrical Power and Vehicular Technology; Vol 15, No 1 (2024); 57-67 ; Journal of Mechatronics, Electrical Power, and Vehicular Technology; Vol 15, No 1 (2024); 57-67 ; 2088-6985 ; 2087-3379

مصطلحات موضوعية: Mechatronics, machine learning, image processing, Raspberry Pi, inference time, image classification

وصف الملف: application/pdf

Relation: https://mev.brin.go.id/mev/article/view/863/pdf; https://mev.brin.go.id/mev/article/view/863

الاتاحة: https://mev.brin.go.id/mev/article/view/863
https://doi.org/10.55981/j.mev.2024.863

المؤلفون: Seung-Yeon Kim, Haneul Ko

المصدر: IEEE Access, Vol 11, Pp 77669-77678 (2023)

مصطلحات موضوعية: Split computing, stochastic game, energy consumption, inference time, distributed system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10194304/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/42c674a727824d4b86f03c9fd366a236

المؤلفون: Aria Khoshsirat, Giovanni Perin, Michele Rossi

المصدر: GreenNet 2023, 2nd Workshop on Green and Sustainable Networking In conjunction with IEEE International Conference on Communications (ICC), Rome, Italy, 28 May 2023 - 1 June 2023

مصطلحات موضوعية: Energy Efficiency, Inference Time, Edge Computing, Containers, Object Detection

Relation: https://zenodo.org/communities/greenedge-itn; https://zenodo.org/communities/eu; https://doi.org/10.48550/arXiv.2302.06478; oai:zenodo.org:7763273

الاتاحة: https://doi.org/10.48550/arXiv.2302.06478

المؤلفون: Espinoza Castellon, Fabiola, Singh, Deepika, Mayoue, Aurélien, Gouy-Pailler, Cedric

المساهمون: Laboratoire Instrumentation Intelligente Distribuée et Embarquée (CEA, LIST) (LIIDE (CEA, LIST)), Département d'instrumentation Numérique (CEA, LIST) (DIN (CEA, LIST)), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, This publication was made possible by the use of the FactoryIA supercomputer, financially supported by the Ile-deFrance Regional Council.

المصدر: Proceedings of 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications ; TPS-ISA 2023 - 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications ; https://cea.hal.science/cea-04576829 ; TPS-ISA 2023 - 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, Nov 2023, Atlanta, United States. pp.55-63, ⟨10.1109/TPS-ISA58951.2023.00017⟩ ; https://www.computer.org/csdl/proceedings-article/tps-isa/2023/238500a055/1UAj4DHR2dG

مصطلحات موضوعية: artificial intelligence, machine learning, post-training defense, pattern-triggered backdoor attack, online learning, federated learning, attack pattern, defense, end user, inference time, robustness, malicious client, Data privacy, Computer vision, Servers, Security, Intelligent systems, Backdoor Attacks, Attack Patterns, Loss Function, Objective Function, Learning Rate, Classification Task, Global Model, Clean Data, Stochastic Gradient Descent, Target Class, Bandage, Clean Samples, Types Of Attacks

جغرافية الموضوع: Atlanta, United States

الاتاحة: https://cea.hal.science/cea-04576829
https://cea.hal.science/cea-04576829v1/document
https://cea.hal.science/cea-04576829v1/file/IEEE_TPS_vf.pdf
https://doi.org/10.1109/TPS-ISA58951.2023.00017

المؤلفون: Jihun Jeon, Jaemyung Kim, Jin-Ku Kang, Sungtae Moon, Yongwoo Kim

المصدر: IEEE Access, Vol 10, Pp 70840-70849 (2022)

مصطلحات موضوعية: CNN, filter pruning, FLOPs, inference time, YOLOv5, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9815045/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/22d11f616efe4e8fa33d0e359d30c3aa

المؤلفون: Kouichi Genda

المصدر: IEICE Communications Express. 2023, 12(8):432

المؤلفون: Stolle, Kurt, Vogel, Sebastian, van der Sommen, Fons, Sanberg, Willem P.

المساهمون: Amini, Massih-Reza, Canu, Stéphane, Fischer, Asja, Guns, Tias, Kralj Novak, Petra, Tsoumakas, Grigorios

المصدر: Stolle , K , Vogel , S , van der Sommen , F & Sanberg , W P 2023 , Block-Level Surrogate Models for Inference Time Estimation in Hardware Aware Neural Architecture Search . in M-R Amini , S Canu , A Fischer , T Guns , P Kralj Novak & G Tsoumakas (eds) , Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V . Lecture Notes in Computer Science , vol. 13717 , Lecture Notes in Artificial Intelligence , ....

مصطلحات موضوعية: AutoML, Inference time estimation, Neural network design

وصف الملف: application/pdf

الاتاحة: https://research.tue.nl/en/publications/0f5f8537-94a2-492a-9606-49b7b7f582ce
https://doi.org/10.1007/978-3-031-26419-1_28
https://pure.tue.nl/ws/files/303070074/978-3-031-26419-1_28.pdf
http://www.scopus.com/inward/record.url?scp=85151057930&partnerID=8YFLogxK

المؤلفون: Kemi Chen, Jing Chen, Huanqiang Zeng, Xueyuan Shen

المصدر: Sensors; Volume 23; Issue 16; Pages: 7227

مصطلحات موضوعية: compressed video enhancement, lightweight models, inference time, real-time

وصف الملف: application/pdf

Relation: Intelligent Sensors; https://dx.doi.org/10.3390/s23167227

الاتاحة: https://doi.org/10.3390/s23167227

المؤلفون: Jyotirmoy Karjee, Praveen Naik S, Kartik Anand, Vanamala N. Bhargav

المصدر: Measurement: Sensors, Vol 23, Iss , Pp 100409- (2022)

مصطلحات موضوعية: Connection reliability, Deep neural network (DNN), Inference time, Edge computing, Internet of things (IoT), Load-balancing, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2665917422000435; https://doaj.org/toc/2665-9174

URL الوصول: https://doaj.org/article/61911fd5ec604aefb95ca55d6cebcde9

المؤلفون: Kumar Malladi, Sai Phani, Mukhopadhyay, Jayanta, Larabi, Mohamed-Chaker, Chaudhury, Santanu

المساهمون: Indian Institute of Technology Kharagpur (IIT Kharagpur), Université de Poitiers = University of Poitiers (UP), Synthèse et analyse d'images (XLIM-ASALI), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Jodhpur (IIT Jodhpur)

المصدر: 2022 IEEE International Conference on Image Processing (ICIP 2022)
https://hal.science/hal-04729287
2022 IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.2991-2995, ⟨10.1109/ICIP46576.2022.9897252⟩
https://2022.ieeeicip.org/

مصطلحات موضوعية: video saliency, two-pathway network, optical flow features, model parameters, inference time, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

جغرافية الموضوع: Bordeaux, France

الاتاحة: https://hal.science/hal-04729287
https://hal.science/hal-04729287v1/document
https://hal.science/hal-04729287v1/file/Video_Saliency_ICIP2022.pdf
https://doi.org/10.1109/ICIP46576.2022.9897252

المؤلفون: Hee E. Kim, Mate E. Maros, Fabian Siegel, Thomas Ganslandt

المصدر: Biomedicines; Volume 10; Issue 11; Pages: 2808

مصطلحات موضوعية: Gram-stained classification, deep learning, model compression, pruning, quantization, rapid inference time, mHealth

وصف الملف: application/pdf

Relation: Biomedical Engineering in Human Health; https://dx.doi.org/10.3390/biomedicines10112808

الاتاحة: https://doi.org/10.3390/biomedicines10112808

المؤلفون: Fathi, Mahan

Thesis Advisors: Bacon, Pierre-Luc

مصطلحات موضوعية: Koopman, Systèmes Dynamiques, Dynamical Systems, Algorithmes en Temps d’Inférence, Inference-time Algorithms, Inférence à Longue Portée, Long-range Inference, Grand Modélisation Linguistique, Large Language Modeling, Transformers, Modèles d’Espace d’État, State-Space Models, Modélisation Linguistique à Longue Portée, Long-range Language Modeling, Artificial intelligence / Intelligence artificielle (UMI : 0800)

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/1866/32831
https://orcid.org/0009-0002-0554-9038

المؤلفون: Calvin Brown (9181943), Artem Goncharov (10103910), Zachary S. Ballard (8147625), Mason Fordham (10103913), Ashley Clemens (10103916), Yunzhe Qiu (6744215), Yair Rivenson (3123522), Aydogan Ozcan (138135)

مصطلحات موضوعية: Neuroscience, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, Information Systems not elsewhere classified, reconstruction framework, noniterative manner, design trade-offs, spectroscopy approaches, encoder chip, inference time, SNR, spectroscopy tools, transmission spectrum, lithography method, height error, lithography process, nanohole arrays, peak localization error, 14 648, intensity information, grating-based spectroscopy, field-portable, CMOS image sensor, 0.18 nm, Scalable Plasmonic Encoder, fabrication defects, illumination spectrum, 0.19 nm, Neural Network-Based On-Chip Spectr.

Relation: https://figshare.com/articles/journal_contribution/Neural_Network-Based_On-Chip_Spectroscopy_Using_a_Scalable_Plasmonic_Encoder/13721184

الاتاحة: https://doi.org/10.1021/acsnano.1c00079.s001

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/figure/ODConv_module_/25076485

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.g006
https://figshare.com/articles/figure/ODConv_module_/25076485

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/figure/Schematic_diagram_of_defect_detection_system_/25076473

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.g002
https://figshare.com/articles/figure/Schematic_diagram_of_defect_detection_system_/25076473

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/dataset/Comparison_of_evaluation_indicators_for_each_mode_/25076506

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.t004
https://figshare.com/articles/dataset/Comparison_of_evaluation_indicators_for_each_mode_/25076506

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/figure/Examples_of_mosaic_data_augmentation_/25076476

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.g003
https://figshare.com/articles/figure/Examples_of_mosaic_data_augmentation_/25076476

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/figure/Common_defects_in_the_production_of_solenoid_connectors_including_missing_copper_indicated_by_the_orange_box_abnormal_wire_indicated_by_the_purple_box_and_Inclined_pin_indicated_by_the_red_box_/25076470

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.g001
https://figshare.com/articles/figure/Common_defects_in_the_production_of_solenoid_connectors_including_missing_copper_indicated_by_the_orange_box_abnormal_wire_indicated_by_the_purple_box_and_Inclined_pin_indicated_by_the_red_box_/25076470

المؤلفون: Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

مصطلحات موضوعية: Cell Biology, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, multidimensional attention mechanism, mean average precision, learn complementary connections, additional prediction head, replacing conventional convolution, introduced dynamic convolution, dynamic convolution enhances, solenoid connector based, fast response time, solenoid connectors dataset, scale defective features, yolov5 , defect detection model, solenoid connectors, convolution kernel, inference time, defective products, defect location, detection accuracy, accurate detection, yolov5 versus, small size, similar color, semantic information, safe driving

Relation: https://figshare.com/articles/figure/Physical_diagram_of_the_device_of_image_acquisition_/25076482

الاتاحة: https://doi.org/10.1371/journal.pone.0297059.g005
https://figshare.com/articles/figure/Physical_diagram_of_the_device_of_image_acquisition_/25076482