Relevant bibliographies by topics / MACHINE HEAD

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'MACHINE HEAD'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "MACHINE HEAD"

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Gans, L. H. A., C. Trivedi, I. Iliev, and P. T. Storli. "An experimental and numerical study of a three-lobe pump for pumped hydro storage applications." Journal of Physics: Conference Series 2629, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2629/1/012010.

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Abstract Pumped hydro storage (PHS) plays an important role as a matured technology that accounts for the vast majority of global energy storage capacity, and its expansion is therefore desirable. The expansion of PHS in mid- and high-water heads is limited to topographic features, but there is an untapped potential in low-head applications. For most of the PHS applications, a Francis reversible pump-turbine (RPT) is regarded as the most common and cost-effective machine, but it is not a suitable option for water heads of less than 30m. In its place, positive displacement machines like lobe pu
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Lin, Xiaoliang, Yueyang Li, Weihai Song, and Xin Liu. "Application and Key Research Technology of Angle Head." Journal of Physics: Conference Series 2187, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1742-6596/2187/1/012029.

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Abstract Angle head is a kind of machine tool accessory. After the angle head is installed on the machine tool, the rotation center line of the tool can be angled with the spindle rotation center line to process the workpiece. It has been widely used in various fields of machining such as aerospace, automobile, engineering machinery, etc. The use of an angle head can increase the processing range and adaptability of the machine tool, enable some processing that is difficult to complete with traditional methods, and reduce the repeated clamping of the workpiece, and improve the processing accur
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Van Thuy, Tran, and Huu Loc Nguyen. "Investigation on influence of cutting parameters on spindle vibration of CNC wood milling machine." MATEC Web of Conferences 213 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201821301007.

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In machining operation, the cutting parameters greatly influences on the spindle vibration of a CNC wood milling machine. The paper presents the effect of the cutting parameters such as feed rate, cutting speed, and cutting depth on the vibration amplitude of the spindle when machined on CNC milling machine using Box-Hunter method of experimentation. The lowest natural frequency of this machine is 250 Hz. Experimental results have established a second-order regression equation that demonstrates the effect of three parameters such as feed rate, cutting speed, and cutting depth on the vibration
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Kalluri, Ramadevi, and Prabha Selvaraj. "An image analysis technique for wheat head count detection using machine learning." Bulletin of Electrical Engineering and Informatics 13, no. 5 (2024): 3515–25. http://dx.doi.org/10.11591/eei.v13i5.7255.

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Deep learning (DL) techniques have significantly enhanced the potential for wheat head detection in recent times. The different development phases of canopy, genotype, wheat heads, and wheat head orientation provide considerable obstacles. The overlapping density of wheat heads and wind- induced picture blurring complicate wheat head recognition. This study describes an effective wheat head detection and counting method. Due to its high throughput in agricultural field analysis, remote sensing phenotyping has grown in popularity. Applying DL methods for image processing and other technological
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Fong, Z. H., and Bill Chung-Biau Tsay. "A Study on the Tooth Geometry and Cutting Machine Mechanisms of Spiral Bevel Gears." Journal of Mechanical Design 113, no. 3 (1991): 346–51. http://dx.doi.org/10.1115/1.2912788.

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The tooth geometry and cutting machine mechanisms of spiral bevel gears are investigated. Based on the kinematics of titled head cutter, machine cradle, sliding base and work head, the matrix presentation of spiral bevel gear’s tooth geometry are developed. The relations between the parameters of the proposed mathematical model and the machine settings of existing spiral bevel gear cutting machines are also investigated. The tilt of head cutter axis, motion of generation, helical motion of sliding base, and nongenerating cutting of spiral bevel gears are taken into consideration. An example is
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Sergeev, Anton, Viktor Bokov, and Vitaly Shmelov. "Multi-Module Electroerosion Head for arc Dimensional Processing." Central Ukrainian Scientific Bulletin. Technical Sciences 1, no. 8(39) (2023): 28–36. http://dx.doi.org/10.32515/2664-262x.2023.8(39).1.28-36.

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In modern conditions at repair plants and workshops, there is a need to process various parts from hard-to-machine materials, for example, from G13 steel, hardened steels and hard alloys. When implementing electropulse processing, the process is accompanied by mandatory pauses that negatively affect processing performance. A distinctive feature of the arc dimensional processing method, compared to electric pulse processing, is a significantly higher processing productivity (approximately by an order of magnitude or more), but stationary machines are massive, difficult to manufacture, occupy a
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Md Salleh, Salihatun, Erween Abdul Rahim, Imran H. Ghazali, et al. "Hand-Arm Vibration Analysis of Palm Oil Fruit Harvester Machine." Applied Mechanics and Materials 315 (April 2013): 621–25. http://dx.doi.org/10.4028/www.scientific.net/amm.315.621.

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The objective of this study is to determine the vibration value of Palm Oil Harvester Machine or CANTAS motorized cutter profile. The CANTAS machines have been divided into twelve nodes and hand arm vibration measurements are taken for idle and full throttle operation. Three cutting heads provided by MPOB have been measured for comparison purposes. The hand-arm vibration values for Type A Cutting head achieves (3.89±1.10) m/s2 for idle condition and (10.71±2.88) m/s2 for full throttle condition. Meanwhile Type B Cutting Head achieves (3.63±0.87) m/s2 for idle condition and (11.22±1.74) m/s2 fo
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Min, R., QL Zhang, and JY Qin. "Mechanical analysis of shield machine cutter head under multiple working conditions based on elastoplastic model." Journal of Physics: Conference Series 2181, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2181/1/012026.

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Abstract The shield machine’s ability to simultaneously cut soft soil and hard rock makes it widely used in subway tunnels, diversion tunnels and other underground engineering constructions. As the core component of the composite shield machine, the shield cutter head has a decisive effect on the work efficiency of the shield machine. When the cutter head of the shield machine is working, the positive pressure of the cutter head directly affects the working performance of the shield machine. However, when the shield machine is working, the positive pressure of its cutter head has been influenc
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Raval, Shreeom, Harshil Raval, Darshit Seta, and Rathour Anilkumar. "DESIGN AND DEVELOPMENT OF MULTI SPINDLE DRILLING MACHINE." International Journal of Innovative Research in Advanced Engineering VII, no. VI (2020): 299–304. https://doi.org/10.26562/ijirae.2020.v0706.003.

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This paper discusses the case study and comparison with productivity of component using traditional drilling machine to Multi spindle drilling machine. The growth of Indian manufacturing sector depends upon many factors, one of the major factors being manufacturing efficiency with which the operation /activities are carried out in the organization. Productivity can be improved by reducing the total machining time, combining the operations, etc. There are frequent needs of tightening and loosening screws, drilling, tapping, boring and grinding operational machines. Huge and complicated designed
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Karthi V, Arun G, Dinesh Kumar M, Eshwar M, and Ajith S. "Design & Fabrication of Quad Processing Machine." international journal of engineering technology and management sciences 7, no. 3 (2023): 182–87. http://dx.doi.org/10.46647/ijetms.2023.v07i03.024.

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In this project, the quad processing machine for cutting, shaping, grinding and drilling machines is kept to be in same attachment. This eliminates the risk of material handling and to the machine table. This unit is driven by 0.25 H.P. three phase motor of 1440 rpm. This is linked with the cast-iron (CI) slider. This enables the slide to get the rotation movement into reciprocating motion having a stroke length of 75mm. The head of the slotting can be tilted to be getting the shaping machine at a desired angle. The head is welded to the slider at the bottom edge. In this machine there can be
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Dissertations / Theses on the topic "MACHINE HEAD"

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El, Ahmar Wassim. "Head and Shoulder Detection using CNN and RGBD Data." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39448.

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Alex Krizhevsky and his colleagues changed the world of machine vision and image processing in 2012 when their deep learning model, named Alexnet, won the Im- ageNet Large Scale Visual Recognition Challenge with more than 10.8% lower error rate than their closest competitor. Ever since, deep learning approaches have been an area of extensive research for the tasks of object detection, classification, pose esti- mation, etc...This thesis presents a comprehensive analysis of different deep learning models and architectures that have delivered state of the art performances in various machi
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Westerberg, Simon. "Semi-Automating Forestry Machines : Motion Planning, System Integration, and Human-Machine Interaction." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-89067.

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The process of forest harvesting is highly mechanized in most industrialized countries, with felling and processing of trees performed by technologically advanced forestry machines. However, the maneuvering of the vehicles through the forest as well as the control of the on-board hydraulic boom crane is currently performed through continuous manual operation. This complicates the introduction of further incremental productivity improvements to the machines, as the operator becomes a bottleneck in the process. A suggested solution strategy is to enhance the production capacity by increasing the
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Kushniruk, Jason K. "Vibration balancing analysis of a dual face mill eccentric grinder machine head." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30984.pdf.

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Ramaswamy, Harish Krishna Valenzuela Jorge F. "Feeder allocation policy for a turret head placement machine using dynamic programming." Auburn, Ala., 2005. http://hdl.handle.net/10415/1269.

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Dellsperger, David John. "Outcome prediction in head and neck cancer patients using machine learning methods." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/4606.

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Head and Neck cancers account for approximately 3.2% of the estimated 1,660,290 new cancer cases for the year 2013 and roughly 1.9% of cancer-related deaths in 2013. In this research, machine learning techniques were employed to predict outcome in cancer patients supporting more objective assessment of the treatments, including surgery, radiation therapy, or chemotherapy. Selection of features capable of distinguishing between the possible outcomes was accomplished by using a highly selective cohort of 61 patients with similar treatment and location of the primary tumor. An accuracy of 80.33%
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Richards, Nathaniel L. "Machine Learning for the Prevention and Prognosis of Pediatric Head Injury in Sport." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535633637793776.

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Wu, Lyndia C., Calvin Kuo, Jesus Loza, et al. "Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification." NATURE PUBLISHING GROUP, 2017. http://hdl.handle.net/10150/627166.

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Accumulation of head impacts may contribute to acute and long-term brain trauma. Wearable sensors can measure impact exposure, yet current sensors do not have validated impact detection methods for accurate exposure monitoring. Here we demonstrate a head impact detection method that can be implemented on a wearable sensor for detecting field football head impacts. Our method incorporates a support vector machine classifier that uses biomechanical features from the time domain and frequency domain, as well as model predictions of head-neck motions. The classifier was trained and validated using
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Orság, Petr. "Konstrukce natáčivé frézovací hlavy." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-228256.

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This work deal with different variants of the turning milling heads for CNC machines.The report depicts actual design solution of the turning milling head formilling machine, including technical report and economical conclusions.
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Vazovan, Ľubomír. "Vřeteník a naklápěcí hlava frézovacího multifunkčního obráběcího centra s vodorovnou osou vřetena." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402637.

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The thesis contains of draft, calculations, CAD model and drawing documentation of the moltifunctional machining center with horizontal axis of spindle. This thesis is one of the four parts with which connection ensue the machine-tool. In the first part of my work, there is a constructional draft of the headstock which will enable milling, turning and drilling. In the introduction of this part is headstock research which is solving the most important parts of the headstock of machine . Consequently, technical calculations are acoomplished. Based on these calculations, a specific constructional
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Abdelrahman, Omar Ezzeldin Ibrahim. "Investigating the molecular basis of concussion using whole exome sequencing and bioinformatics." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/211353/1/Omar_Abdelrahman_Thesis.pdf.

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This thesis investigated the genetic influences of concussion development and outcomes. People react differently to similar head trauma; some may recover within a few weeks and some may develop long term symptoms for months or years. This thesis used a combination of genetic sequencing methods and machine learning to create pilot models for predicting these outcomes. The long-term goal of this work will allow for personalised treatments in the wake of concussion, tailored rest recommendations, as well as potential new drugs to help with management.
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Books on the topic "MACHINE HEAD"

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group), Deep Purple (Musical. Machine head. 2nd ed. Warner Archives, 1998.

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Vol'vak, Sergey, Yuriy Ul'yancev, Dmitriy Baharev, and Aleksandr Dobrickiy. Fundamentals of hydraulics and thermal engineering. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2138112.

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The textbook contains material on the study of the basics of hydrostatics and hydrodynamics, technical thermodynamics, the theory of heat transfer and heat transfer, heating, air conditioning and ventilation of premises, the device and principle of operation of hydraulic machines, heat engines, heat exchangers and thermal power plants. It is intended for students in the specialty 02/35/16 "Operation and repair of agricultural machinery and equipment" and other technical areas of training and specialties of higher and secondary vocational education, as well as teachers and engineering and techn
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A, Kornhauser A., and Lewis Research Center, eds. Heat transfer measurements for Stirling machine cylinders. National Aeronautics and Space Administration, Lewis Research Center, 1994.

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Vol'vak, Sergey, Yuriy Ul'yancev, Dmitriy Baharev, and Aleksandr Dobrickiy. Fundamentals of hydraulics and heat engineering. Practicum. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2124790.

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The textbook was created according to the program of the discipline "Fundamentals of hydraulics and heat engineering". It contains brief theoretical information on the academic discipline, material on the study of methods for determining the physical properties of liquids and the thermophysical properties of the working fluid, devices for conducting hydraulic and thermal experiments, devices and principles of operation of hydraulic and thermal machines. The given material will allow you to develop the skills of applying theoretical knowledge in solving specific practical problems. It is intend
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Wood, J. Local energy: Distributed generation of heat and power. Institution of Engineering and Technology, 2008.

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Organ, Allan J. Thermodynamics and gas dynamics of the stirling cycle machine. University ofBirmingham, 1994.

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Aslib, ed. Translating and the computer 19: Papers from the Aslib conference held on 13 & 14 November 1997. Aslib, 1997.

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Aslib, ed. Translating & the computer 17: Papers from the Aslib conference held on 9th and 10th November 1995. Aslib, 1995.

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J, Anderson S., and Association for History and Computing., eds. A guide to historical datafiles held in machine-readable form. Association for History and Computing, 1992.

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Toulouevski, Yuri N. Innovation in Electric Arc Furnaces: Scientific Basis for Selection. 2nd ed. Springer Berlin Heidelberg, 2013.

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Book chapters on the topic "MACHINE HEAD"

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Rohilla, Himanshu, and Suneeta Agarwal. "Head Pose Prediction While Tracking Lost in a Head-Mounted Display." In Machine Intelligence and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1366-4_24.

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Guo, Xiaochao, Yu Bai, Qingfeng Liu, Duanqin Xiong, Yanyan Wang, and Jian Du. "3D Head Anthropometry for Head-Related Transfer Function of Chinese Pilots." In Man-Machine-Environment System Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_21.

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Sun, Changliang, and Yuanlong Yu. "Head Detection Using Extreme Learning Machine." In Proceedings of the 2015 Chinese Intelligent Automation Conference. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46469-4_26.

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Prescher, Detlef. "Inducing Head-Driven PCFGs with Latent Heads: Refining a Tree-Bank Grammar for Parsing." In Machine Learning: ECML 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564096_30.

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Rueda Arreguín, José Luis, Marco Ceccarelli, Christopher R. Torres-San-Miguel, and Cuauhtémoc Morales Cruz. "Lab Experiences on Impact Biomechanics of Human Head." In Mechanisms and Machine Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58104-6_26.

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Guo, Xiaochao, Duanqin Xiong, Yanyan Wang, Yiping Ma, Dongdong Lu, and Qingfeng Liu. "Head-Related Transfer Function Database of Chinese Male Pilots." In Man-Machine-Environment System Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2323-1_1.

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Yuan, Jiaxin, Hao Cui, and Rui Guo. "Research on Jet Head Velocity Based on Back Propagation Neural Network." In Mechanisms and Machine Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-77489-8_17.

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Popescu, Teodor Costinel, Alexandru-Polifron Chiriță, Sergiu Nicolaie, and Rareș-Andrei Chihaia. "Aspects Regarding the Design of a Low-Head Hydraulic Turbine Test Stand." In Mechanisms and Machine Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80512-7_28.

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Yao, Linlin, Zhong Xue, Yiqiang Zhan, et al. "Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph." In Machine Learning in Medical Imaging. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21014-3_24.

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Yao, Linlin, Pengbo Jiang, Zhong Xue, et al. "Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling." In Machine Learning in Medical Imaging. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59861-7_48.

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Conference papers on the topic "MACHINE HEAD"

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Nidhya, M. S., E. Gurumoorthi, M. Babu, A. C. Charumathi, Mohd Naved, and Balajee Maram. "Cluster Head Selection Algorithm using Machine Learning." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933157.

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Sadia, Tasnuva, Mashrufa Khandaker, Sheikh Fajlay Rabbi, et al. "Machine Learning Approaches for Head and Neck Cancer Stage Detection." In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024. https://doi.org/10.1109/compas60761.2024.10795925.

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Wang, Yu, Peng Liu, Botao Hu, Feifei Han, Dong Cui, and Hanfeng Wang. "Research on Pedestrian Head Injury Prediction Based on Machine Learning." In 2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024. https://doi.org/10.1109/iceace63551.2024.10898584.

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Ghulam, Zeyad, Greg French, and Hussein A. Abdullah. "Head Tracking for Confirming User Selection for Human-Machine Interaction." In 2025 International Conference On Rehabilitation Robotics (ICORR). IEEE, 2025. https://doi.org/10.1109/icorr66766.2025.11063037.

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Buttrick, James, and Darrell Jones. "Turret Head Fastening Machine." In Aerofast Conference & Exposition. SAE International, 1995. http://dx.doi.org/10.4271/952174.

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Mowforth, P., P. Siebert, Z. P. Jin, and C. Urquhart. "A head called Richard." In British Machine Vision Conference 1990. British Machine Vision Association, 1990. http://dx.doi.org/10.5244/c.4.64.

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Hack, C. A., and C. J. Taylor. "Modelling `Talking Head' Behaviour." In British Machine Vision Conference 2003. British Machine Vision Association, 2003. http://dx.doi.org/10.5244/c.17.4.

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Undbekken, K., D. F. Wilson, P. H. Mowforth, S. Solbakken, and B. Eiklid. "Design of an Anthropomorphic Robot Head." In British Machine Vision Conference 1991. Springer-Verlag London Limited, 1991. http://dx.doi.org/10.5244/c.5.57.

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Devin, V. E., and D. C. Hogg. "Reactive Memories: An Interactive Talking-Head." In British Machine Vision Conference 2001. British Machine Vision Association, 2001. http://dx.doi.org/10.5244/c.15.62.

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Orozco, Javier, Shaogang Gong, and Tao Xiang. "Head Pose Classification in Crowded Scenes." In British Machine Vision Conference 2009. British Machine Vision Association, 2009. http://dx.doi.org/10.5244/c.23.120.

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Reports on the topic "MACHINE HEAD"

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Stokes, A. W., and D. B. Stewart. Cutting head ventilation of a full face tunnel boring machine. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304779.

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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Kiv, Arnold, Pavlo Hryhoruk, Inesa Khvostina, Victoria Solovieva, Vladimir Soloviev, and Serhiy Semerikov. Machine learning of emerging markets in pandemic times. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4122.

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This is an introductory text to a collection of selected papers from the M3E2 2020 Summer: The Special Edition of International Conference on Monitoring, Modeling & Management of Emergent Economy, which was held in Odessa, Ukraine, on the July 13-18, 2020. It consists of short introduction and some observations about the event and its future.
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Ків, Арнольд Юхимович, Володимир Миколайович Соловйов, Сергій Олексійович Семеріков, et al. Machine learning for prediction of emergent economy dynamics. Криворізький державний педагогічний університет, 2021. http://dx.doi.org/10.31812/123456789/6973.

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This is an introductory text to a collection of selected papers and revised from the M3E2 2021: 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, which held in Odessa National University of Economics, Odessa, Ukraine, on the May 26-28, 2021. It consists of introduction, conference review and some observations about the event and its future.
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Benson, D. A., R. T. Mitchell, and M. R. Tuck. Micro-machined heat pipes in silicon MCM substrates. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/437666.

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Kiv, Arnold, Serhiy Semerikov, Vladimir Soloviev, Liubov Kibalnyk, Hanna Danylchuk, and Andriy Matviychuk. Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3209.

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This is an introductory text to a collection of selected papers from the M3E2 2019: The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy, which was held in Odessa, Ukraine, on the May 22-24, 2019. It consists of short introducation and some observations about the event and its future.
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Prantikos, Konstantinos, Taeseung Lee, and Alexander Heifetz. Conceptual Machine Learning Strategy for Maintenance of Molten Salt Heat Exchanger. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1995454.

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Ків, Арнольд Юхимович, Сергій Олексійович Семеріков, Володимир Миколайович Соловйов, Liubov Kibalnyk, Hanna Danylchuk, and Andriy Matviychuk, eds. Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics : Proceedings of the Selected Papers of the 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019), Odessa, Ukraine, May 22-24, 2019. CEUR Workshop Proceedings, 2019. http://dx.doi.org/10.31812/123456789/3208.

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This volume represents the proceedings of the selected papers of the 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019), held in Odessa, Ukraine, on May 22-24, 2019. It comprises 38 papers dedicated to the experimental economics and machine learning that were carefully peer-reviewed and selected from 71 submissions.
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Prantikos, Konstantinos, Taeseung Lee, and Alexander Heifetz. Machine Learning Classification of Molten Salt Heat Exchanger Channel Plugging using Synthetic Data. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2205614.

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Hakizimana, Naphtal, and Fabrizio Santoro,. Technology Evolution and Tax Compliance: Evidence from Rwanda. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.038.

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Data on economic transactions is crucial for tax administrations to be able to enforce tax compliance, and technology can be key to obtaining information. In the last decade, African tax administrations have increasingly adopted technological advances such as integrated systems, electronic filing, and electronic billing machines (EBMs). EBMs allow taxpayers to digitise their transactions and transfer billing information automatically to the revenue authority. They have high potential, as they allow firms to lower their administrative and compliance costs, streamline transactions, improve recor
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