Gotowe bibliografie tematyczne / Howe Machine Co

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Gotowa bibliografia na temat „Howe Machine Co”

Autor: Grafiati

Data publikacji: 27 lipca 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Howe Machine Co"

Booth, Kate. "The places within." cultural geographies 25, no. 4 (2018): 637–41. http://dx.doi.org/10.1177/1474474018757504.

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There was a place in my life where I had the time and space to reflect more deeply on the intricacies of home. Here my sense of where I was shifted and stirred, along with my relationship with some of the ‘things’ that made up my home. The washing machine that seemingly existed as a complete, discrete ‘thing’ prior to arriving in my home transgressed into my washing machine. It became, as I describe below, co-produced within my home life – a co-production constituted through a myriad of near and far relationalities. This ‘thing’ lost its place as a machine conveniently located within the kitch

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Tao, JIANG, ZHANG Gui-lin, and GAO Jun-peng. "Illumination of a cylinder block transverse hole for machine vision inspection." Chinese Optics 13, no. 6 (2020): 1–8. http://dx.doi.org/10.37188/co.2020-0054.

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Chen, Shun Tong, Zong Han Jiang, Yi Ying Wu, and Hong Ye Yang. "Development of a Reverse Micro EDM-Drilling for Holing Diamond-Tool." Advanced Materials Research 126-128 (August 2010): 802–7. http://dx.doi.org/10.4028/www.scientific.net/amr.126-128.802.

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This study presents the development of a drilling technique for an innovative tabletop drilling machine that combines micro-EDM with drilling to fabricate micro-holes in diamond-tool. The mechanisms designs of double V-shaped bearings and double spindles which provide a precision clamping and vertical alignment for diamond-tool and micro-tube are devised to enable to machine a co-centric micro-hole for micro-tool. A diamond-tool, made with copper-based sintered alloy, is drilled by using the developed technique of co-centric micro-hole EDM-drilling into a hollow shaft which can create equilibr

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Rychel, Kevin, Katherine Decker, Anand V. Sastry, Patrick V. Phaneuf, Saugat Poudel, and Bernhard O. Palsson. "iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning." Nucleic Acids Research 49, no. D1 (2020): D112—D120. http://dx.doi.org/10.1093/nar/gkaa810.

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Abstract Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for obtaining co-regulated, independently-modulated gene sets (iModulons), inferring their activities across a range of conditions, and enabling their association to known genetic regulators. By grouping and analyzing genes based on observations from big data alone, iModulons can provide a novel perspective into how the composition of the transcriptome adapts to environmental conditions. Here, we present iModulonDB (imodulondb.org), a knowledgebase of prokaryotic transcriptional regulation

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Cheney, Nick, Josh Bongard, Vytas SunSpiral, and Hod Lipson. "Scalable co-optimization of morphology and control in embodied machines." Journal of The Royal Society Interface 15, no. 143 (2018): 20170937. http://dx.doi.org/10.1098/rsif.2017.0937.

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Evolution sculpts both the body plans and nervous systems of agents together over time. By contrast, in artificial intelligence and robotics, a robot's body plan is usually designed by hand, and control policies are then optimized for that fixed design. The task of simultaneously co-optimizing the morphology and controller of an embodied robot has remained a challenge. In psychology, the theory of embodied cognition posits that behaviour arises from a close coupling between body plan and sensorimotor control, which suggests why co-optimizing these two subsystems is so difficult: most evolution

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Kumari, K. Siva. "Home Air Quality Monitoring System." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 318–25. http://dx.doi.org/10.22214/ijraset.2024.63566.

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Abstract: The quality of indoor air is a critical determinant of health and well-being, particularly Given the considerable amount of time individuals invest indoors. Recognizing the pivotal role of air quality, this paper introduces a novel Home Air Quality Monitoring System (HAQMS) designed to provide real-time, accurate assessments of air quality within residential environments. The HAQMS integrates advanced sensors and IoT (Internet of Things) technologies to detect and quantify a wide range of air pollutants, including particulate matter (PM2.5 and PM10), volatile organic compounds (VOCs)

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Movi, Mintu, and Abdul Jabbar P. "Unveiling Rare Patterns: Anomaly Detection in CCTV Footage for Safeguarding Home Premises." Journal of Information Assurance and Security 19, no. 1 (2024): 15–35. http://dx.doi.org/10.2478/ias-2024-0002.

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Abstract Protecting residential properties through CCTV surveillance has become a crucial aspect of contemporary living. In the age of data-driven security, detecting unusual and infrequent patterns within CCTV footage is of significant importance. Conventional anomaly detection methods often need help to handle the intricacies and distinctiveness of home environments, where family members and potential intruders co-exist. To address these challenges, this research incorporates extensive datasets, various machine-learning techniques, and thorough evaluation measures to pinpoint rare patterns t

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Yousfi, A. "ML-ERV: A machine learning-based CO₂ emissions model designed for rental vehicles." IOP Conference Series: Earth and Environmental Science 1415, no. 1 (2024): 012006. https://doi.org/10.1088/1755-1315/1415/1/012006.

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Abstract On-road carbon dioxide (CO2 ) emissions from rental vehicles are very much affected by vehicle category, types of vehicle transmission, fuel type and traveled distance. In this paper, four machine learning models (decision trees, random forest, AdaBoost and XGBoost) were used to predict CO2 emissions from rental vehicles. The models were trained and tested on Carbookr’s bookings dataset. The results show that the traveled distance, the included mileage, the ACRISS code, the rental duration, the driver’s home country, the country where the driver works and the country where he pickups

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Marques, Ana. "Writing with Automated Machines: Between Translation and Sabotage." Matlit Revista do Programa de Doutoramento em Materialidades da Literatura 6, no. 3 (2018): 73–81. http://dx.doi.org/10.14195/2182-8830_6-3_6.

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A generative text is a system constituted by non-conscious and conscious cognizers, digital and analogue processes, and mathematical and linguistic modes of representation. But how do algorithms cognize? And how is meaning constructed in a system where authorial intentions and readers’ experiences and interpretations are mediated by algorithmic agents? Through the analysis of How It Is In Common Tongues (Cayley and Howe, 2012), I intend to discuss the tensions that arise from the encounter between algorithmic and human cognition, and between the regimes of information and expression. Drawing o

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Zhao, Yibing, Feng Ding, Xuecai Yu, Ronghui Zhang, and Xiumei Xiang. "A New Waters Hole Detection and Tracking Method for UGV in Cross-Country Environment." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 08 (2016): 1655024. http://dx.doi.org/10.1142/s0218001416550247.

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Environment perception is one of the important issues for unmanned ground vehicle (UGV). It is necessary to develop waters hole detection and tracking method in cross-country environment. This paper is related to the waters hole detection and tracking by using visual information. Image processing strategies based on support vector machine (SVM) and speeded up robust feature (SURF) methods are employed to detect and track waters hole. It focuses on how to extract the waters feature descriptor by exploring the machine learning algorithm. Based on the S/V color features and Gray Level Co-occurren

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Rozprawy doktorskie na temat "Howe Machine Co"

Battistelli, Massimiliano. "Co-operative control strategies of parallel kinematic machines for peg-in-hole assembly operations." Doctoral thesis, Università Politecnica delle Marche, 2015. http://hdl.handle.net/11566/243040.

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Il termine “Robotica” raccoglie un gran numero di concetti che vengono principalmente dalla Meccanica, Elettronica, Scienze del controllo e Tecnologie del Software. Questa scienza si è iniziata a sviluppare durante gli anni ’50 ma per un suo vasto utilizzo in campo industriale si sono dovuti attendere gli anni ’80. Inizialmente, si è cercato di automatizzare le operazioni maggiormente rischiose per l’uomo e in cui non vi fosse contatto fra robot e ambiente come ad esempio la saldatura con elettrodi e la verniciatura. Negli ultimi anni, si stanno cercando di automatizzare le operazioni più co

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YA-TING, HUNG, and 黃雅婷. "How Should SMEs Utilize E-Commerce Approach into Globalization - Anko Food Machine Co., LTD." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/69387385095207381032.

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碩士<br>國立臺灣科技大學<br>管理學院MBA<br>101<br>After stages of evolution in E-business the norm currently is a market of relentless saturated competition. Every industry now faces the same issue in internet marketing; incurring minimum cost while achieving an increase in competitive strength and company awareness. This study takes the first step by focusing on Taiwan's main economic pillars, which are the small and mid-sized corporations. One example is the well known successful food processing machinery limited company called Anko, which is the standard to based upon here in this report. The purpos

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Książki na temat "Howe Machine Co"

Ibrahim, Yasmin. Digital Racial. The Rowman & Littlefield Publishing Group, 2023. https://doi.org/10.5040/9798881813628.

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This book examines the intimate relationship between race and technologies and how digital platforms reabsorb racism as an internal arrangement within its modes of technical and affective architecture. Premising the idea that technologies supplant and mirror the ‘logic’ of racialization as mimetic instruments of social control and violence, the book interrogates the present arrangement of platform capital, and its modes of re-abstraction of race into its fibres and terrains of re-territorialization of the human spheres of social, economic and political life. If capitalism reframed and consolid

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Hershock, Peter D. Consciousness Mattering. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350411241.

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Consciousness Mattering presents a contemporary Buddhist theory in which brains, bodies, environments, and cultures are relational infrastructures for human consciousness. Drawing on insights from meditation, neuroscience, physics, and evolutionary theory, it demonstrates that human consciousness is not something that occurs only in our heads and consists in the creative elaboration of relations among sensed and sensing presences, and more fundamentally between matter and what matters. Hershock argues that without consciousness there would only be either unordered sameness or nothing at all. E

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Margulies, Ivone. In Person. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190496821.001.0001.

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In Person: Reenactment in Postwar and Contemporary Cinema delineates a new performative genre based on replay and self-awareness. The book argues that in-person reenactment, an actual person reenacting her past on camera, departs radically from other modes of mimetic reconstruction. In Person theorizes this figure’s protean temporality and revisionist capabilities, and it considers its import in terms of social representativity and exemplarity. Close readings of select, historicized examples define an alternate, confessional-performative vein to understand the self-reflexive nature of postwar

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Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

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Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living t

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Części książek na temat "Howe Machine Co"

Véliz, Soledad. "Chapter 11. Weird readings and little machines." In Children’s Literature, Culture, and Cognition. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/clcc.16.11vel.

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Reading engagement is presented as an affect that organizes the relationships between children and books. The OECD-PISA reading framework has co-opted engagement as an attentive, involved, and joyful relationship with literature. A reading assemblage is offered to explain how engagement is instrumental to producing readers as bodies with potential for human capital, that is, children. The author uses a literary encounter to propose weird readings as an affect that breaks into the reading assemblage, complicating joy and pleasure, and as the affect that precludes the possibilities of creating r

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Bates, Jo, Alessandro Checco, and Elli Gerakopoulou. "Worker Perspectives on Designs for a Crowdwork Co-operative." In Transforming Communications – Studies in Cross-Media Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96180-0_18.

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AbstractCrowdwork platforms such as Amazon Mechanical Turk (AMT) are a crucial infrastructural component of our global data assemblage. Through these platforms, low-paid crowdworkers perform the vital labour of manually labelling large-scale and complex datasets, labels that are needed to train machine learning and AI models (Tubaro et al., Big Data & Society, 7(1), 2020) and which enable the functioning of much digital technology, from niche applications to global platforms such as Google, Amazon and Facebook.In this chapter, we reflect on how a ‘design justice’ approach might be valuable

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August, Stephanie E., and Audrey Tsaima. "Artificial Intelligence and Machine Learning: An Instructor’s Exoskeleton in the Future of Education." In Innovative Learning Environments in STEM Higher Education. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58948-6_5.

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AbstractThe role of artificial intelligence in US education is expanding. As education moves toward providing customized learning paths, the use of artificial intelligence (AI) and machine learning (ML) algorithms in learning systems increases. This can be viewed as growing metaphorical exoskeletons for instructors, enabling them to provide a higher level of guidance, feedback, and autonomy to learners. In turn, the instructor gains time to sense student needs and support authentic learning experiences that go beyond what AI and ML can provide. Applications of AI-based education technology sup

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Donati, Pierpaolo. "Impact of AI/Robotics on Human Relations: Co-evolution Through Hybridisation." In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_18.

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AbstractThis chapter examines how the processes of human enhancement that have been brought about by the digital revolution (including AI and robotics, besides ICTs) have given rise to new social identities and relationships. The central question consists in asking how the Digital Technological Matrix, understood as a cultural code that supports artificial intelligence and related technologies, causes a hybridisation between the human and the non-human, and to what extent such hybridisation promotes or puts human dignity at risk. Hybridisation is defined here as entanglements and interchanges

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Crampton, Jeremy. "How Digital Geographies Render Value: Geofences, the Blockchain, and the Possibilities of Slow Alternatives." In Knowledge and Digital Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39101-9_14.

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AbstractThis chapter proceeds in two parts. First, it situates the way that digital geographies render value by creating new markets for the creation, extraction, and capture of that value. Two digital geographies are highlighted: geofences/geoframing and cryptocurrencies on the blockchain. Drawing on the renewed interest in theorizing the digital urban growth machine, I analyze these new markets as forms of toxic innovation dominated by a focus on growth and extractive value. Second, I examine the possibilities for alternative responsible innovation that creates social value, which I call the

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Nowotny, Helga. "Digital Humanism: Navigating the Tensions Ahead." In Perspectives on Digital Humanism. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86144-5_43.

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AbstractThe assumption of digital humanism that a human-centered approach is possible in the design, use, and further development of AI entails an alignment with human values. If the more ambitious goal of building a good digital society along the co-evolutionary path between humans and the digital machines invented by them is to be reached, inherent tensions need to be confronted. Some of them are the result of already existing inequalities and divergent economic, social, and political interests, exacerbated by the impact of digital technologies. Others arise from the question what makes us h

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Zhang, Zhuorui, Donglin Li, Yiteng Sun, Ching-hung Lee, Shanshan Feng, and Fan Li. "How Do We Team Up? Human-Machine Co-driving Style Assessment Through Visual Dynamic Analysis and Vision-Language Model." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93733-0_19.

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Hofmann, Yannick, and Cecilia Mareike Carolin Preiß. "Say the Image, Don't Make It." In Edition Museum. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839467107-023.

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In this article, Yannick Hofmann and Cecilia Preiß discuss the use of AI technologies in art by means of the interactive installation 'Wishing Well'. 'Wishing Well' by media artist Yannick Hofmann uses generative AI to transform the dreams, wishes, and fantasies expressed by exhibition visitors into images. Central aspects addressed are the use of AI technologies in art and the challenged identity of art in the face of new technical tools. The text discusses how co-creativity between humans and machines can be facilitated, as well as conveying ethical dilemmas that are to be expected in any us

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Cammozzo, Alberto, Emanuele Di Buccio, and Federico Neresini. "Monitoring Technoscientific Issues in the News." In ECML PKDD 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65965-3_37.

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AbstractResearch at the intersection between Science and Technology Studies (STS) and Public Communication of Science and Technology (PCST) investigates the role of science in society and how it is publicly perceived. An increasing attention has been paid to coverage of Science and Technology (S&T) issues in newspapers. Because of the availability of a huge amount of digitized news contents, the variety of the issues and their dynamic nature, new opportunities are offered to carry out STS and PCST investigations. The main contribution of this paper is a methodology and a system called TIPS

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Cui, Suxia, and Soamar Homsi. "Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud." In Cloud Computing - New Perspectives for AI and Cybersecurity [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105991.

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Cloud computing brings convenience and cost efficiency to users, but multiplexing virtual machines (VMs) on a single physical machine (PM) results in various cybersecurity risks. For example, a co-resident attack could occur when malicious VMs use shared resources on the hosting PM to control or gain unauthorized access to other benign VMs. Most task schedulers do not contribute to both resource management and risk control. This article studies how to minimize the co-resident risks while optimizing the VM completion time through designing efficient VM allocation policies. A zero-trust threat m

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Streszczenia konferencji na temat "Howe Machine Co"

Brown, Natalie C., Ciarán Ryan-Anderson, John P. Campora, et al. "Quantum/classical hybrid compute and applications." In Quantum 2.0. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qm4a.7.

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Classical co-processors are an important component of any full quantum stack. We shall discuss how the Quantinuum System Model H1 machine interacts with a classical co-processor to implement crucial features of quantum error correction.

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De Silva, G. S. H., L. W. R. M. De Silva, P. W. K. Ishara, M. P. H. S. Kumara, and T. Ginige. "SmartBee; Multichannel Access ZigBee Gateway with Plug and Play Device Interface for Smart Home/Office Automation." In 2008 4th International Conference on Information and Automation for Sustainability. Sustainable Development through Effective Man-machine Co-existence (ICIAFS). IEEE, 2008. http://dx.doi.org/10.1109/iciafs.2008.4783948.

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Merdžanović, Iman, Mladen Vukomanović, and Darija Ivandić Vidović. "A Comprehensive Literature Review of Research Trends of Applying AI to Construction Project Management." In 6th IPMA SENET Project Management Conference “Digital Transformation and Sustainable Development in Project Management”. International Project Management Association, IPMA Publications, and Faculty of Civil Engineering, University of Zagreb, Croatia, 2023. http://dx.doi.org/10.5592/co/senet.2022.16.

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Artificial Intelligence (AI) is universally reaching every industry thus far, it is coming to the fore in construction industry by redesigning project world and altering the role of project managers. It provides the ability for computers to simulate human-like thinking and is comprised of machine learning, Internet of things (IoT), automation, natural language processing and robotics. In construction industry, AI is affecting project planning, time and cost management, optimization of resources as well as post-construction activities. Along with assessing teamwork patterns and making recommend

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Yılmaz, Gökan. "Manufacturing of Aluminum-Based Alloy Y-Axis of Laser Machines and Investigation of the Impact on Carbon Footprint." In 3rd International Congress on Engineering and Life Science. Prensip Publishing, 2023. http://dx.doi.org/10.61326/icelis.2023.2.

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Nowadays, the rapid development of technology increase fiber laser cutting machine’s cutting dynamics day by day, these dynamics, such as speed, acceleration, and jerk, refer to the quantitative measures used to describe the motion of an object. In order to enhance these dynamics, it is imperative to modify the design of the motion mechanism. We can employ more powerful electrical or magnetic motor for motion system however dimensional constraints limits this implementation. The aim of this study evolves mechanical design and manufacturing material of Y axis. “Y axis” significant part of the m

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Lerez, Christoph. "Investigation on the surface integrity in electrical discharge machining of Co-Cr-Mo." In Material Forming. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903599-228.

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Abstract. The electrical discharge machining (EDM) process offers significant advantages over other manufacturing methods, particularly in achieving high surface quality and tight tolerances, irrespective of the material's mechanical properties. In industrial applications, especially in die-sinking EDM, geometric accuracy and surface quality are primary objectives. Many EDM machines allow surface roughness to be directly selected as a target parameter, reflecting its importance in everyday practice. However, focusing solely on surface roughness neglects a critical aspect: the overall surface i

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Yin, Yuan, Boheng Wang, Haoyu Zuo, and Peter Childs. "Effects of Different Human-In-The-Loop Approaches on Human-AI Co-Design: A Comparison Between Human-Learning HITL Approach and Machine-Learning HITL Approach." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143295.

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Abstract The speed at which the quantity of data is increasing stymies the deployment of some AI tools for design as the basis for training the tools is not stable. Also, selecting which data can be used as training data is a challenge. To address these issues, the concept of human-in-the-loop (HITL) approaches have been proposed. HITL includes human knowledge in the model-building processes to mitigate the high volume requirement of training data. Although how to apply AI in a design process and the effect of Generative AI tools (such as ChatGPT and Midjourney) in design processes has been ex

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Halina, Emily, and Matthew Guzdial. "Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/685.

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To best assist human designers with different styles, Machine Learning (ML) systems need to be able to adapt to them. However, there has been relatively little prior work on how and when to best adapt an ML system to a co-designer. In this paper we present threshold designer adaptation: a novel method for adapting a creative ML model to an individual designer. We evaluate our approach with a human subject study using a co-creative rhythm game design tool. We find that designers prefer our proposed method and produce higher quality content in comparison to an existing baseline.

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Kuchumov, R., and V. Korkhov. "HPC WORKLOAD BALANCING ALGORITHM FOR CO- SCHEDULING ENVIRONMENTS." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.21.34.001.

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The goal of this research work is to reduce wait time of HPC (high performance computing) applications in schedulers queue by applying a co-scheduling strategy. This strategy allows the execution of more than one task with different non-overlapping requirements for computational resources simultaneously. Co-scheduling strategy reduces task queue wait time and improves utilization of cluster resources when compared to the scheduling strategies that do not allow for parallel task execution on the same machine. We have proposed a method for measuring application processing speed in its run-time,

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Dann, Michael, Yuan Yao, Natasha Alechina, Brian Logan, and John Thangarajah. "Multi-Agent Intention Progression with Reward Machines." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/31.

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Recent work in multi-agent intention scheduling has shown that enabling agents to predict the actions of other agents when choosing their own actions can be beneficial. However existing approaches to 'intention-aware' scheduling assume that the programs of other agents are known, or are "similar" to that of the agent making the prediction. While this assumption is reasonable in some circumstances, it is less plausible when the agents are not co-designed. In this paper, we present a new approach to multi-agent intention scheduling in which agents predict the actions of other agents based on a h

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Callanan, James, Carles Garcia-Cabrera, Niamh Belton, Gennady Roshchupkin, and Kathleen Curran. "Integrating feature attribution methods into the loss function of deep learning classifiers." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/omxa8857.

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Feature attribution methods are typically used post-training to judge if a deep learning classifier is using meaningful concepts in an input image when making classifications. In this study, we propose using feature attribution methods to give a classifier automated feedback throughout the training process via a novel loss function. We call such a loss function, a heatmap loss function. Heatmap loss functions enable us to incentivize a model to rely on relevant sections of the input image when making classifications. Two groups of models were trained, one group with a heatmap loss function and

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Raporty organizacyjne na temat "Howe Machine Co"

Nickerson, Jeffrey, Kalle Lyytinen, and John L. King. Automated Vehicles: A Human/Machine Co-learning Perspective. SAE International, 2022. http://dx.doi.org/10.4271/epr2022009.

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Automated vehicles (AVs)—and the automated driving systems (ADSs) that enable them—are increasing in prevalence but remain far from ubiquitous. Progress has occurred in spurts, followed by lulls, while the motor transportation system learns to design, deploy, and regulate AVs. Automated Vehicles: A Human/Machine Co-learning Experience focuses on how engineers, regulators, and road users are all learning about a technology that has the potential to transform society. Those engaged in the design of ADSs and AVs may find it useful to consider that the spurts and lulls and stakeholder tussles are

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Fairhurst, Vanessa, Chieh-Chih Estelle Cheng, Xiaoli Chen, and Cameron Neylon. Better Together: Open new possibilities with Open Infrastructure (APAC time zones). Chair Hideaki Takeda. Crossref, 2022. http://dx.doi.org/10.13003/xdvu4372.

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Crossref, DataCite, and ORCID work together to provide foundational open infrastructure that is integral to the global research ecosystem. We offer unique, persistent identifiers (PIDs) — Crossref and DataCite DOIs for research outputs and ORCID iDs for people — alongside collecting comprehensive, open metadata that is non-proprietary, accessible, interoperable, and available across borders, disciplines, and time. As sustainable community-driven scholarly infrastructure providers ORCID, Crossref and Datacite, guarantee data provenance and machine-readability. Persistent identifiers combined wi

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Ruvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu, and Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42169.

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Managing the ever-growing volume and velocity of data across the battlefield is a critical problem for warfighters. Solving this problem will require a fundamental change in how battlefield analyses are performed. A new approach to making decisions on the battlefield will eliminate data transport delays by moving the analytical capabilities closer to data sources. Decision cycles depend on the speed at which data can be captured and converted to actionable information for decision making. Real-time situational awareness is achieved by locating computational assets at the tactical edge. Acceler

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Ron, Alexa. Pilot Terrestrial Vegetation Monitoring in the Southeastern United States, 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303058.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot terrestrial vegetation monitoring occurred in eleven Southeast Coast Network (SECN) parks in 2009 and 2010 and evaluated trends in plant cover, frequency, diversity and di

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Sharman, Jason. The Sixth Bahamas Conference on Financial Crime. Edited by Francesco De Simone and Guillermo Lagarda. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013501.

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The Sixth Bahamas Conference on Financial Crime, co-hosted by the Central Bank of The Bahamas and the Inter-American Development Bank in January 2025, brought together over 390 participants, both in-person and online, including policymakers, regulators, academics, private sector professionals, and representatives from regional and international institutions. The conference featured research papers, grouped into five thematic blocks: the overall effectiveness of anti-money laundering (AML) frameworks; the role of big data and new technologies; applied insights from regulators and compliance pro

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Hobbs, Abigail, and Sarah Kelso. [PILOT] Herpetological Monitoring Surveys for the Southeast Coast Network: 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303227.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot herpetological surveys were conducted in Cape Hatteras National Seashore, Cape Lookout National Seashore, Canaveral National Seashore, Congaree National Park, Cumberland I

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Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, 2021. http://dx.doi.org/10.53328/uxuo4751.

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The report provides a review of how risk is conceived of, modelled, and mapped in studies of infectious water, sanitation, and hygiene (WASH) related diseases. It focuses on spatial epidemiology of cholera, malaria and dengue to offer recommendations for the field of WASH-related disease risk mapping. The report notes a lack of consensus on the definition of disease risk in the literature, which limits the interpretability of the resulting analyses and could affect the quality of the design and direction of public health interventions. In addition, existing risk frameworks that consider diseas

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