Author: John Martin
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Book Description
This management guide to labor productivity is the product of Martin's 40 years of experience in the industrial engineering and manufacturing fields. He presents his own personal approach to the specifics of labor productivity control, detailing ineffective control strategies and the alternate methods that he's observed to be workable. Among the issues he addresses are control plan applications, direct time study vs. predetermined motion times, work sampling bias, misapplications of improvement curves, implementing nondirect cost control, and computer-aided applications of MTM-1. The coverage provided is applicable within manufacturing, processing, and service organizations.
Labor Productivity Control
Author: John Martin
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Book Description
This management guide to labor productivity is the product of Martin's 40 years of experience in the industrial engineering and manufacturing fields. He presents his own personal approach to the specifics of labor productivity control, detailing ineffective control strategies and the alternate methods that he's observed to be workable. Among the issues he addresses are control plan applications, direct time study vs. predetermined motion times, work sampling bias, misapplications of improvement curves, implementing nondirect cost control, and computer-aided applications of MTM-1. The coverage provided is applicable within manufacturing, processing, and service organizations.
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Book Description
This management guide to labor productivity is the product of Martin's 40 years of experience in the industrial engineering and manufacturing fields. He presents his own personal approach to the specifics of labor productivity control, detailing ineffective control strategies and the alternate methods that he's observed to be workable. Among the issues he addresses are control plan applications, direct time study vs. predetermined motion times, work sampling bias, misapplications of improvement curves, implementing nondirect cost control, and computer-aided applications of MTM-1. The coverage provided is applicable within manufacturing, processing, and service organizations.
Document Analysis and Recognition - ICDAR 2023
Author: Gernot A. Fink
Publisher: Springer Nature
ISBN: 3031417313
Category : Computers
Languages : en
Pages : 190
Book Description
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Publisher: Springer Nature
ISBN: 3031417313
Category : Computers
Languages : en
Pages : 190
Book Description
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Real-time and Systems Programming for PCs
Author: Christopher Vickery
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 634
Book Description
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 634
Book Description
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
Author: Hayit Greenspan
Publisher: Springer Nature
ISBN: 3031439074
Category : Computers
Languages : en
Pages : 821
Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Publisher: Springer Nature
ISBN: 3031439074
Category : Computers
Languages : en
Pages : 821
Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Computer Vision – ACCV 2022
Author: Lei Wang
Publisher: Springer Nature
ISBN: 3031263162
Category : Computers
Languages : en
Pages : 781
Book Description
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.
Publisher: Springer Nature
ISBN: 3031263162
Category : Computers
Languages : en
Pages : 781
Book Description
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.
Computational, label, and data efficiency in deep learning for sparse 3D data
Author: Li, Lanxiao
Publisher: KIT Scientific Publishing
ISBN: 3731513463
Category :
Languages : en
Pages : 256
Book Description
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Publisher: KIT Scientific Publishing
ISBN: 3731513463
Category :
Languages : en
Pages : 256
Book Description
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Intelligent Computing in Signal Processing and Pattern Recognition
Author: De-Shuang Huang
Publisher: Springer
ISBN: 354037258X
Category : Technology & Engineering
Languages : en
Pages : 1206
Book Description
This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.
Publisher: Springer
ISBN: 354037258X
Category : Technology & Engineering
Languages : en
Pages : 1206
Book Description
This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.
Dr. Dobb's Journal
Author:
Publisher:
ISBN:
Category : Application software
Languages : en
Pages : 1078
Book Description
Publisher:
ISBN:
Category : Application software
Languages : en
Pages : 1078
Book Description
Dr. Dobb's Journal of Software Tools for the Professional Programmer
Neural Information Processing
Author: Akira Hirose
Publisher: Springer
ISBN: 331946681X
Category : Computers
Languages : en
Pages : 679
Book Description
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.
Publisher: Springer
ISBN: 331946681X
Category : Computers
Languages : en
Pages : 679
Book Description
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.