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Journal articles on the topic 'Custom-Made architecture'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Mvelase, Promise, Nomusa Dlodlo, Quentin Williams, and Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises." International Journal of Cloud Applications and Computing 1, no. 3 (2011): 52–63. http://dx.doi.org/10.4018/ijcac.2011070105.

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Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a

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Herdt, Rudolf, Louisa Kinzel, Johann Georg Maaß, et al. "Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models." Journal of the Acoustical Society of America 156, no. 4 (2024): 2448–66. http://dx.doi.org/10.1121/10.0030473.

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Rodents employ a broad spectrum of ultrasonic vocalizations (USVs) for social communication. As these vocalizations offer valuable insights into affective states, social interactions, and developmental stages of animals, various deep learning approaches have aimed at automating both the quantitative (detection) and qualitative (classification) analysis of USVs. So far, no notable efforts have been made to determine the most suitable architecture. We present the first systematic evaluation of different types of neural networks for USV classification. We assessed various feedforward networks, in

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Oliveira, Douglas Voss de, José Thiers Carneiro Junior, Eber Coelho Paraguassu, and Luis Raimundo Serra Rabelo. "Ankylosed joint replacement with custom total joint prosthesis and custom miniplates." Research, Society and Development 9, no. 6 (2020): e15963095. http://dx.doi.org/10.33448/rsd-v9i6.3095.

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When managing a severely ankylosed joint in a patient with a history of multiple previous operations since the development phase, it is necessary besides the total joint replacement also the orthognathic surgery. Miniplates and total joint custom-made prosthesis are the state of arts in accuracy and precision; therefore use them concurrently in a complex surgery, such this, is a suitable treatment option. A 44-year-old male patient with bilateral temporomandibular joint ankylosis where the TMJ architecture was completely replaced by a large bone mass was treated through orthognathic surgery wi

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Sonar, Prasanna Ravindra, and Aarati S. Panchbhai. "Rehabilitation of Partially Edentulous Esthetic Zone with Custom-made Abutment in Young Patient." Journal of Datta Meghe Institute of Medical Sciences University 18, no. 4 (2023): 783–86. http://dx.doi.org/10.4103/jdmimsu.jdmimsu_423_23.

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Abstract Implant positioning plays an important role in giving esthetics as well as in proper functioning of prosthesis. To achieve the best results, extensive evaluation and treatment planning are necessary for placing dental implants in an esthetically pleasing area. Important factors include the soft-tissue architecture, bone quantity and quality in both the horizontal and vertical planes. Thin labial cortical plate and gingival tissue in the upper anterior region are issues for esthetic outcomes. The use of high-performance ceramic material, the ability to customize the position, the angul

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Setiawan, Theodorus Adrian. "OPTIMIZING CNNS FOR FACE RECOGNITION: COMPARING WELL-KNOWN ARCHITECTURES WITH CUSTOM MODELS." Proxies : Jurnal Informatika 8, no. 2 (2025): 53–64. https://doi.org/10.24167/proxies.v8i2.12558.

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This project aims to find which CNN architecture is the best. From the research results, well-known CNN architectures give better accuracy than the custom made one. Face recognition is useful for distinguishing someone's facial data that is already in the database. With this, the system can save someone’s facial data so that it can be used later for other purposes. In this research’s photo data will be used and there are three types of datasets, 20% of the whole dataset are used as testing. Then, one type of photo is removed from training and used in testing. Thirdly, a new 100 photos, facing

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Manataki, Merope, Nikos Papadopoulos, Nikolaos Schetakis, and Alessio Di Iorio. "Exploring Deep Learning Models on GPR Data: A Comparative Study of AlexNet and VGG on a Dataset from Archaeological Sites." Remote Sensing 15, no. 12 (2023): 3193. http://dx.doi.org/10.3390/rs15123193.

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This comparative study evaluates the performance of three popular deep learning architectures, AlexNet, VGG-16, and VGG-19, on a custom-made dataset of GPR C-scans collected from several archaeological sites. The introduced dataset has 15,000 training images and 3750 test images assigned to three classes: Anomaly, Noise, and Structure. The aim is to assess the performance of the selected architectures applied to the custom dataset and examine the potential gains of using deeper and more complex architectures. Further, this study aims to improve the training dataset using augmentation technique

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SASTRY, RAGHU, and N. RANGANATHAN. "PMAC: A POLYGON MATCHING CHIP." International Journal of Pattern Recognition and Artificial Intelligence 09, no. 02 (1995): 367–85. http://dx.doi.org/10.1142/s0218001495000171.

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The recognition of polygons in 3-D space is an important task in robot vision. Advances in VLSI technology have now made it possible to implement inexpensive, efficient and very fast custom designs. The authors have earlier proposed a class of VLSI architectures for this computationally intensive task, which makes use of a set of local shape descriptors for polygons which are invariant under affine transformations, i.e. translation, scaling, rotation and orthographic projection from 3-D to any 2-D plane. This paper discusses the design and implementation of PMAC, a prototype for polygon matchi

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Delledonne, Nicola. "Emre Arolat Architecture. Moschea Sancaklar, Istanbul, Turchia." Firenze Architettura 28, no. 1 (2024): 72–83. https://doi.org/10.36253/fia-15726.

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La moschea Sancaklar a Istanbul scompare nella terra per inserirsi nel paesaggio che la ospita. Le sue forme essenziali rafforzano la devozione religiosa e favoriscono l’introspezione personale. I materiali, assieme al gioco di luci e ombre, ne costituiscono l’unica decorazione. La sua concezione architettonica offre un’alternativa alla tradizione divenuta abitudine. The Sancaklar mosque in Istanbul disappears into the earth to become part of the landscape in which it stands. Its simple forms foster religious devotion and encourage introspection. The materials of which it is made, together wit

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Sobotka, Jan, Jiří Novák, and Jiří Pinkava. "Modified vehicle architecture for rapid prototyping." Acta IMEKO 13, no. 4 (2024): 1–6. https://doi.org/10.21014/actaimeko.v13i4.1774.

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A modern car is made up of a considerable amount of software running on many Electronic Control Units interconnected by communication infrastructure. Together, it creates a rigid system that is not easy to modify to run modified or custom code to implement new vehicle functions or collect scientific data. The paper presents a modified (electric) vehicle architecture that allows rapid prototyping of new software-oriented features. The architecture enables the control of a specific vehicle, the acquisition of arbitrary vehicle data, and offers an interface for communication with the driver. The

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Gopal, Venu, Praveen Ganesh, Muralidhara Nagarjuna, Kiran Kumar, Samarth Shetty, and Paul C. Salins. "Custom made orthotic device for maintaining skull architecture during the postoperative period in infants undergoing craniosynostosis surgery." Journal of Oral Biology and Craniofacial Research 5, no. 2 (2015): 75–80. http://dx.doi.org/10.1016/j.jobcr.2015.04.004.

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Lehrer, Ute Angelika. "Images of the Periphery: The Architecture of Flex Space in Switzerland." Environment and Planning D: Society and Space 12, no. 2 (1994): 187–205. http://dx.doi.org/10.1068/d120187.

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The peripheries of Swiss cities are currently being restructured at an unprecedented pace. Specifically, new commercial and office developments are mushrooming along the major traffic arteries. Peripheral centers without a center have sprung up. In this paper, urban forms are described in relation to the architectural form. The new urban form comes with a specific aesthetic programme: the architecture and the planning design of the industrial and office centers in the periphery defy the mass-produced built environment of earlier suburbanization. Rather, ‘individualized’ architectural designs l

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Jakeš, Erik. "Glass Fibre Reinforced Concrete Products for Construction Industry and Architecture." Applied Mechanics and Materials 820 (January 2016): 75–80. http://dx.doi.org/10.4028/www.scientific.net/amm.820.75.

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Glass fibre reinforced concrete is a material which found its undisputable place in architecture and construction industry. Architecture has been using its creativity potential at building atypical elements of a specific building and the needed detail. This specific material enables unusual geometrical shapes, curves and surfaces. It is able to create custom-made original works. It is not a material which is used to make the products competitive with their price and serial production etc. It wants to be original, offers new challenges and provide new forms of its application to the people. The

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Prof., Maria Achary, and Siby Abraham School of Business Management NMIMS Deemed to be University Mumbai India Dr. "Utilizing deep autoencoders for extracting key features in alzheimer's disease diagnosis." Scienxt Journal of Artificial Intelligence and Machine Learning 2, no. 1 (2024): 17. https://doi.org/10.5281/zenodo.10725425.

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This paper introduces a novel approach for extracting features of Alzheimer's disease (AD) from MRI images using a Deep Autoencoder (DAE). Utilizing a custom-made five-layer encoder architecture, feature extraction is made easier. The efficacy of the DAE is meticulously assessed using nine diverse Machine Learning Classifiers. Cross-validation is performed to substantiate the superiority of the DAE's feature extraction by comparing the classification of AD stages with Clinical data. The dataset encompasses distinct stages of AD, enabling a comprehensive analysis. Our results showcase the propo

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Jo, Yong Hwan, Se Yeon Cho, and Byoung Wook Choi. "Towards a ROS2-based software architecture for service robots." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 3027–38. http://dx.doi.org/10.11591/eei.v12i5.5590.

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This paper presents a scalable software architecture based on robot operating system 2 (ROS2) for service robots. ROS2 supports the data distribution service (DDS) protocol that provides benefits such as real-time operation and security and performance enhancements. However, ROS2 still lacks task management capabilities, essential for practical robotic applications consisting of multiple threads and processes. Moreover, integrating new devices into ROS2 requires additional development effort to create specific drivers for specific devices. The proposed software architecture addresses these dra

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Hummel, Karin, Manuela Pollak, and Johannes Krahofer. "A Distributed Architecture for Human-Drone Teaming: Timing Challenges and Interaction Opportunities." Sensors 19, no. 6 (2019): 1379. http://dx.doi.org/10.3390/s19061379.

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Drones are expected to operate autonomously, yet they will also interact with humans to solve tasks together. To support civilian human-drone teams, we propose a distributed architecture where sophisticated operations such as image recognition, coordination with humans, and flight-control decisions are made, not on-board the drone, but remotely. The benefits of such an architecture are the increased computational power available for image recognition and the possibility to integrate interfaces for humans. On the downside, communication is necessary, resulting in the delayed reception of comman

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Monasterio, David, Sebastian Jorquera, Franco Curotto, Camilo Espinoza, Ricardo Finger, and Leonardo Bronfman. "A Proof of Concept Balanced Mixer with the use of a Digital IF Power Combiner to Improve LO Noise Rejection." Publications of the Astronomical Society of the Pacific 135, no. 1054 (2023): 125003. http://dx.doi.org/10.1088/1538-3873/ad0789.

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Abstract In this work we present a novel digital technique, that allows local oscillator (LO) noise cancellation using a digital power combiner in a balanced mixer receiver architecture. A theoretical analysis of the noise cancellation using the proposed technique is derived and a proof of concept experiment is made for the Ku-Band. This experiment includes the design and construction of a custom balanced mixer and an artificial noise source. Experimental results show a consistent noise temperature reduction in comparison with a full analog mixer, and in some cases reaching noise temperature l

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Miķelsone, Ilze. "CUSTOM-MADE PATCHWORK LANDSCAPE: ENTREPRENEURIAL AND PRIVATE REGIONALISM / PAGAL UŽSAKYMĄ PAGAMINTA MOZAIKA: VERSLO IR PRIVATUS REGIONALIZMAS." Mokslas – Lietuvos ateitis 6, no. 3 (2014): 290–302. http://dx.doi.org/10.3846/mla.2014.41.

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Regional identity as a subject of invented tradition is continuously updated in whole Europe; this process is especially regular in cultures of small populations, such as Latvia. It is a multilayered term, which involves a continuously changing main value-focus and numerous disciplines, including architecture. One of the ways to look at it realistically is to analyze the visually represented main hegemonic values and processes in society. Appropriate platform for this is provided by agglomeration expansion – fusion spots of the urban and the rural, thus creating a characteristic local landscap

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Rusnandar, Nandang. "ARSITEKTUR TRADISIONAL DI KASEPUHAN SINAR RESMI KABUPATEN SUKABUMI JAWA BARAT." Patanjala : Jurnal Penelitian Sejarah dan Budaya 6, no. 3 (2014): 413. http://dx.doi.org/10.30959/ptj.v6i3.172.

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AbstrakKetertarikan pada penelitian ini didasarkan pada adanya kesinambungan bentuk arsitektur tradisional di Tatar Sunda yang memiliki kesamaan dalam segi arsitektural, namun memiliki ciri-ciri mandiri yang disesuaikan dengan tata aturan dan adat istiadat setempat. Kampung Kasepuhan Sinar Resmi, merupakan salah satu kampung adat di wilayah Kecamatan Cisolok Kabupaten Sukabumi. Salah satu karya yang dihasilkan oleh komunitas ini adalah bentuk arsitektur yang merupakan cerminan kuat dari latarbelakang budaya yang melingkupinya. Simbol-simbol yang mengandung tata nilai menjadi acuan mereka dalam

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Smirnov, Yuri, Dhiman Chakraborty, Alexander Solodkov, and Siarhei Harkusha. "ATLAS Tile Calorimeter Conditions Database architecture and operations in Run 2." EPJ Web of Conferences 245 (2020): 02006. http://dx.doi.org/10.1051/epjconf/202024502006.

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An overview of the Conditions Database (DB) structure for the hadronic Tile Calorimeter (TileCal), one of the sub-systems of the ATLAS detector at LHC, is presented. ATLAS Conditions DB stores the data on the ORACLE backend, and the design and implementation have been developed using the COOL (Conditions Objects for LCG) software package as a common persistency solution for the storage and management of the conditions data. TileCal conditions and calibration data are stored in 4 separate Databases, each with its own schema: TileCal Online and Offline DBs for data, DB for Monte Carlo simulation

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T, Thyagaraj, Keshava Prasanna, and Hariprasad S A. "Custom Convolution Neural Network for Breast Cancer Detection." International Journal of Engineering and Advanced Technology 13, no. 2 (2023): 22–29. http://dx.doi.org/10.35940/ijeat.b4334.1213223.

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Breast cancer remains a serious global health issue. Leveraging the use of deep learning techniques, this study presents a custom Convolutional Neural Network (CNN) framework for the detection of breast cancer. With the specific objective of accurate classification of breast cancer, a framework is made to analyze high-dimensional medical image information. The CNN's architecture, which consists of specifically developed layers and activation components tailored for the categorization of breast cancer, is described in detail. Utilizing the BreakHis dataset, which comprises biopsy slide images o

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Thyagaraj, T. "Custom Convolution Neural Network for Breast Cancer Detection." International Journal of Engineering and Advanced Technology (IJEAT) 13, no. 2 (2023): 22–29. https://doi.org/10.35940/ijeat.B4334.1213223.

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<strong>Abstract: </strong>Breast cancer remains a serious global health issue. Leveraging the use of deep learning techniques, this study presents a custom Convolutional Neural Network (CNN) framework for the detection of breast cancer. With the specific objective of accurate classification of breast cancer, a framework is made to analyze high-dimensional medical image information. The CNN's architecture, which consists of specifically developed layers and activation components tailored for the categorization of breast cancer, is described in detail. Utilizing the BreakHis dataset, which comp

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Brenner, M., L. Vandenabeele, and S. Langenberg. "THE POTENTIAL OF REVERSE ENGINEERING AND DIGITAL FABRICATION FOR THE REPAIR OF HIGH-TECH ARCHITECTURE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2-2023 (June 24, 2023): 303–9. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-2-2023-303-2023.

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Abstract. Novel façade constructions and innovative load-bearing structures of the second half of the 20th century pose new challenges for maintenance and repair. The use of advanced technology, especially in High-Tech architecture, calls for the development of specific repair methods adapted to specific building materials and construction techniques. The conservation of these aging facades, often composed of custom-made metal components, requires the production of intricate spare parts to avoid unduly replacements. Digital fabrication presents a possible solution as it allows for the resource

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Pino, Javier del, Sunil Lalchand Khemchandani, Daniel Mayor-Duarte, et al. "A Ku-Band GaN-on-Si MMIC Power Amplifier with an Asymmetrical Output Combiner." Sensors 23, no. 14 (2023): 6377. http://dx.doi.org/10.3390/s23146377.

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In this paper, a microwave monolithic integrated circuit (MMIC) high-power amplifier (HPA) for Ku-band active radar applications based on gallium nitride on silicon (GaN-on-Si) is presented. The design is based on a three-stage architecture and was implemented using the D01GH technology provided by OMMIC foundry. Details on the architecture definition and design process to maximize delivered power are provided along with stability and thermal analyses. To optimize the amplifier performance, an asymmetry was included at the output combiner. Experimental results show that the HPA achieves a 39.5

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Satoto, Budi Dwi, Rima Tri Wahyuningrum, and Bain Khusnul Khotimah. "Classification of Corn Seed Quality Using Convolutional Neural Network with Region Proposal and Data Augmentation." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9, no. 2 (2023): 348–62. https://doi.org/10.26555/jiteki.v9i2.26222.

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Corn is one of the essential commodities in agriculture. All components of corn can be utilized and accommodated for the benefit of humans. One of the supporting components is the quality of corn seeds, where a specific source has the physiological qualities to survive. The problem is how to get information on the quality of corn seeds at agricultural locations and get information through the physical image alone. This research tries to find a solution to obtain high accuracy in classifying corn kernels using a convolutional neural network because there is a profound training process. The prob

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Castán, Marina, and Daniel Suárez. "Choreographed Soft Morphologies: exploring new ways of ideating soft architecture through material elasticity." Temes de Disseny, no. 34 (November 26, 2018): 60–73. http://dx.doi.org/10.46467/tdd34.2018.60-73.

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This research aims to contribute to the current field of architectural design by offering evidence of how a collaborative and embodied approach to soft architecture can inform a new physical-digital design process. Current design technologies (e.g. sensors, 3D scanners, procedural modelling software), together with the use of the body as a source for designing a space, offer new methods and tools for designing architecture (Hirschberg, Sayegh, Frühwirth and Zedlacher 2006). However, the potential for experiencing and digitally capturing a soft and elastic material interaction through the body

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Jauk, Julian, Hana Vašatko, Lukas Gosch, Kristijan Ristoski, Josef Füssl, and Milena Stavric. "Coextrusion of Clay-Based Composites: Using a Multi-Material Approach to Achieve Gradient Porosity in 3D-Printed Ceramics." Ceramics 6, no. 4 (2023): 2243–55. http://dx.doi.org/10.3390/ceramics6040136.

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3D printing of ceramics has started gaining traction in architecture over the past decades. However, many existing paste-based extrusion techniques have not yet been adapted or made feasible in ceramics. A notable example is coextrusion, a common approach to extruding multiple materials simultaneously when 3D-printing thermoplastics or concrete. In this study, coextrusion was utilized to enable multi-material 3D printing of ceramic elements, aiming to achieve functionally graded porosities at an architectural scale. The research presented in this paper was carried out in two consecutive phases

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Williams, Rua M., Kiana Alikhademi, and Juan E. Gilbert. "Design of a toolkit for real-time executive function assessment in custom-made virtual experiences and interventions." International Journal of Human-Computer Studies 158 (February 2022): 102734. http://dx.doi.org/10.1016/j.ijhcs.2021.102734.

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Mondal, Sandip, Jialing Jiang, Yin Li, and Gangfeng Ouyang. "Carbon and Tin-Based Polyacrylonitrile Hybrid Architecture Solid Phase Microextraction Fiber for the Detection and Quantification of Antibiotic Compounds in Aqueous Environmental Systems." Molecules 24, no. 9 (2019): 1670. http://dx.doi.org/10.3390/molecules24091670.

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In this study, the detection and quantification of multiple classes of antibiotics in water matrices are proposed using a lab-made solid phase microextraction (SPME) fiber coupled with high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). The lab-made fiber was prepared using a graphene oxide (G), carbon nanotubes (C), and tin dioxide (T) composite, namely GCT, with polyacrylonitrile (PAN) as supporting material. The detected antibiotics were enrofloxacin, sulfathiazole, erythromycin, and trimethoprim. The custom-made fiber was found to be superior compared with a commerc

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Stonozhenko, Kirill, Igor Nikiforov, and Sergey Ustinov. "Automated Object Storage Management Approach with Operator SDK and Custom Resource Definition." Proceedings of the Institute for System Programming of the RAS 34, no. 2 (2022): 123–34. http://dx.doi.org/10.15514/ispras-2022-34(2)-10.

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The work is devoted to the study of automation tools for managing stateful applications in the Kubernetes environment, particularly object storage systems. A review of existing management tools capable solving the set tasks is made. A comparative description of the considered tools based on review is given and a tool is selected that meets the introduced criteria: popularity, support form Kubernetes, reactivity of developed operator, additional features, and others. An approach to automatic object storage management using the Operator SDK and Custom Resource Definition is suggested. As a resul

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Górski, Filip, Aleksandra Grohs, Wiesław Kuczko, et al. "Development and Studies of VR-Assisted Hand Therapy Using a Customized Biomechatronic 3D Printed Orthosis." Electronics 13, no. 1 (2023): 79. http://dx.doi.org/10.3390/electronics13010079.

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This article presents the process of development, testing, and use of wrist–hand orthosis in the hand therapy of a teen patient with congenital paresis disease. A regular 3D-printed anatomically adjusted orthosis is modified with a set of sensors, to work as motion and interaction controller in virtual reality (VR). As the patient with this condition cannot operate VR controllers due to wrist and hand defects, the corrective orthosis was converted to a VR controller, by introducing custom-made electronics and commercially available motion trackers, linking them to the orthosis. A VR game scena

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Castro-García, Juan Antonio, Alberto Jesús Molina-Cantero, Isabel María Gómez-González, Sergio Lafuente-Arroyo, and Manuel Merino-Monge. "Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables." Electronics 11, no. 1 (2022): 155. http://dx.doi.org/10.3390/electronics11010155.

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Detecting stress when performing physical activities is an interesting field that has received relatively little research interest to date. In this paper, we took a first step towards redressing this, through a comprehensive review and the design of a low-cost body area network (BAN) made of a set of wearables that allow physiological signals and human movements to be captured simultaneously. We used four different wearables: OpenBCI and three other open-hardware custom-made designs that communicate via bluetooth low energy (BLE) to an external computer—following the edge-computingconcept—host

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Costantini, Giovanni, Valerio Cesarini, Pietro Di Leo, et al. "Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison." Sensors 23, no. 4 (2023): 2293. http://dx.doi.org/10.3390/s23042293.

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Parkinson’s Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervous system. In this study, we investigated early and full-blown PD patients based on the analysis of their voice characteristics with the aid of the most commonly employed machine learning (ML) techniques. A custom dataset was made with hi-fi quality recordings of vocal tasks gathered from Italian healthy control subjects and PD patients, divided in

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Kabir, Shahriar Mahmud, Mohammed I. H. Bhuiyan, Md Sayed Tanveer, and ASM Shihavuddin. "RiIG Modeled WCP Image-Based CNN Architecture and Feature-Based Approach in Breast Tumor Classification from B-Mode Ultrasound." Applied Sciences 11, no. 24 (2021): 12138. http://dx.doi.org/10.3390/app112412138.

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This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images. The Rician Inverse Gaussian (RiIG) distribution is considered for modeling the statistics of ultrasound images in the Contourlet transform domain. The WCP images are obtained by weighting the RiIG modeled Contourlet sub-band coefficient images. In the feature-based approach, various geometrical, statistical, and texture features are shown to have low ANOVA p-value, thus indicating a good capacity for class discrimination. Using three

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Restuccia, Francesco, and Tommaso Melodia. "Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning." GetMobile: Mobile Computing and Communications 25, no. 3 (2022): 28–33. http://dx.doi.org/10.1145/3511285.3511294.

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Wireless systems such as the Internet of Things (IoT) are changing the way we interact with the cyber and the physical world. As IoT systems become more and more pervasive, it is imperative to design wireless protocols that can effectively and efficiently support IoT devices and operations. On the other hand, today's IoT wireless systems are based on inflexible designs, which makes them inefficient and prone to a variety of wireless attacks. In this paper, we introduce the new notion of a deep learning-based polymorphic IoT receiver, able to reconfigure its waveform demodulation strategy itsel

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Zhang, Xiaotian, and Girish Krishnan. "A nested pneumatic muscle arrangement for amplified stroke and force behavior." Journal of Intelligent Material Systems and Structures 29, no. 6 (2017): 1139–56. http://dx.doi.org/10.1177/1045389x17730920.

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This article presents a compact nested architecture to amplify the displacement and forces of pneumatic artificial muscles for potential use in human assistive devices and other robotic applications. The nested architecture consists of several levels in series, and each level is made up of contracting pneumatic muscles, passive force transfer members, and additively manufactured interconnects. The stroke obtained from the nested pneumatic artificial muscle architecture is not always beneficial and is limited by the length-dependent behavior of pneumatic artificial muscles and other practical m

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Palanichamy, Ravikumar Thinnatti. "Specification-Based Inventory Tracking: A Model for Order Lines and Individual Units." International Scientific Journal of Engineering and Management 03, no. 06 (2024): 1–9. https://doi.org/10.55041/isjem01991.

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In contemporary manufacturing and warehousing settings, inventory needs to be managed at a detailed level to support traceability, reduce errors, and maximize operational efficiency. Batch tracking or generalized stock-keeping units (SKUs) used in conventional inventory systems do not capture the complexity of custom-configured products. This work presents a new specification-based inventory tracking model that takes into account the distinct properties of every order line and individual item, especially where every item is tailored to custom customer specifications — like tailor-made windows

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Bagnasco, Stefano. "The Ligo-Virgo-KAGRA Computing Infrastructure for Gravitational-wave Research." EPJ Web of Conferences 295 (2024): 04047. http://dx.doi.org/10.1051/epjconf/202429504047.

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The LIGO, VIRGO and KAGRA Gravitational-wave (GW) observatories are getting ready for their fourth observational period, O4, scheduled to begin in March 2023, with improved sensitivities and thus higher event rates. GW-related computing has both large commonalities with HEP computing, particularly in the domain of offline data processing and analysis, and important differences, for example in the fact that the amount of raw data doesn’t grow much with the instrument sensitivity, or the need to timely generate and distribute “event candidate alerts” to EM and neutrino observatories, thus making

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Fernández-Rodríguez, Jorge Y., Juan A. Álvarez-García, Fisteus Jesús Arias, Luaces Miguel Rodríguez, and Magaña Víctor Corcoba. "Benchmarking real-time vehicle data streaming models for a smart city." Information Systems 72 (June 5, 2017): 62–76. https://doi.org/10.5281/zenodo.10577674.

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The information systems of smart cities offer project developers, institutions, industry and experts the possibility to handle massive incoming data from diverse information sources in order to produce new information services for citizens. Much of this information has to be processed as it arrives because a real-time response is often needed. Stream processing architectures solve this kind of problems, but sometimes it is not easy to benchmark the load capacity or the efficiency of a proposed architecture. This work presents a real case project in which an infrastructure was needed for gather

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Sommer, Bernhard, and Galo Moncayo. "Machine Learning and Artificial Intelligence in Building Physics Education." Bauphysik 45, no. 6 (2023): 305–14. http://dx.doi.org/10.1002/bapi.202300020.

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AbstractThis series presents articles on the use of computer programmes in university teaching of building physics and building technology for architects and civil engineers. This contribution highlights the utilization of machine learning and artificial intelligence (AI) in building physics education, drawing upon the expertise of the Energy Design department. The research conducted within the department encompasses the development of custom‐made digital tools, prototyping, and integration of sensors into energy concepts and the implementation of these concepts into building elements. It show

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Prashanth, H. C., and Madhav Rao. "Accelerated and Highly Correlated ASIC Synthesis of AI Hardware Subsystems Using CGP." IET Computers & Digital Techniques 2024 (January 29, 2024): 1–23. http://dx.doi.org/10.1049/2024/6623637.

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Unconventional functions, including activation functions and power functions, are extremely hard-to-realize primarily due to the difficulty in arriving at the hierarchical design. The hierarchical design allows the synthesis tool to map the functionality with that of standard cells employed through the regular ASIC synthesis flow. For conventional functions, the hierarchical design is structured and then supplied to the synthesis flow, whereas, for unconventional functions, the same method is not reliable, since the current synthesis method does not offer any design-space exploration scheme to

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Estrada Ortega, Rosa Lizeth, and José Eder Guzmán-Mendoza. "Fuzzy-Bayesian Expert System for Suggesting Personalized Training Plans with Exercises and Routines with a Model Driven Architecture (MDA)." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 3 (2024): 126–44. http://dx.doi.org/10.61467/2007.1558.2024.v15i2.463.

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In the dynamic world of fitness, the quest for tailor-made exercise plans has never been more critical. Expert systems are stepping up to this challenge, offering a promise of personalized routines for both seasoned athletes and newcomers. In this article, we introduce an ingenious fuzzy-Bayesian expert system, armed with fuzzy and Bayesian logic, that tackles the uncertainties lurking within fitness data. It's a system with a dual focus: for fitness veterans, it conducts a meticulous analysis of their training history, past achievements, and current ambitions. Guided by the nuanced power of f

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Jayawardena, Cheneli Anne, Nushara Wedasingha, Nival Kolambage, and Shehan Perera. "Pneumonia Detection and Lung Disease Assessment from Chest X-rays: Developing A Diagnostic Support System." Journal of Advances in Engineering and Technology 3, no. 1 (2025): 13–25. https://doi.org/10.54389/mkym4075.

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This research, dedicated to developing an accurate and efficient pneumonia detection system from Chest X-Ray images, highlights the significance of automated tools in enhancing healthcare diagnostics. Its significance lies in the fact that pneumonia is a prevalent respiratory condition that requires timely and accurate diagnosis for effective medical intervention. The project's objective was to make use of convolutional neural networks and image analyses to create an automated diagnostic tool that could assist healthcare professionals in identifying pneumonia with precision and efficiency. To

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Sumari, Putra, Azleena Mohd Kassim, Song-Quan Ong, Gomesh Nair, Al Dabbagh Ragheed, and Nur Farihah Aminuddin. "Classification of jackfruit and cempedak using convolutional neural network and transfer learning." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1353. http://dx.doi.org/10.11591/ijai.v11.i4.pp1353-1361.

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Jackfruit (Artocarpus integer) and Cempedak (Artocarpus heterophyllus) are two different Southeast Asian fruit species from the same genus that are quite similar in their external appearance, therefore, sometimes difficult to be recognized visually by humans, especially in the form of pictures. Convolutional neural networks (CNN) and transfer learning can provide an excellent solution to recognize fruits, where the methods are known to be able to classify objects with high accuracy. In this study, several models were proposed and constructed to recognize the Jackfruit and Cempedak using a deep

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Quintal, Filipe, Daniel Garigali, Dino Vasconcelos, Jonathan Cavaleiro, Wilson Santos, and Lucas Pereira. "Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator." Energies 14, no. 18 (2021): 5786. http://dx.doi.org/10.3390/en14185786.

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This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of

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Baltes, John. "Locke's Inverted Quarantine: Discipline, Panopticism, and the Making of the Liberal Subject." Review of Politics 75, no. 2 (2013): 173–92. http://dx.doi.org/10.1017/s0034670513000028.

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AbstractSome Thoughts Concerning Educationoffers the theory of governance theTwo Treatiseslack. Education is the key to Lockean politics: self-government and public order require virtuous citizens, and these citizens, as Locke suggested in theEssayand explains in theEducation, are made rather than found, constructed from the ground up by discipline. Through early and careful practices of education, they are enmeshed in a net of habit and custom that naturalizes the moral commitments they are taught, rendering the process, and the artifice, invisible. Locke entangles his subjects in an architec

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Tsiakas, Kosmas, Alexios Papadimitriou, Eleftheria Maria Pechlivani, et al. "An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments." Robotics 12, no. 6 (2023): 146. http://dx.doi.org/10.3390/robotics12060146.

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Due to the accelerated growth of the world’s population, food security and sustainable agricultural practices have become essential. The incorporation of Artificial Intelligence (AI)-enabled robotic systems in cultivation, especially in greenhouse environments, represents a promising solution, where the utilization of the confined infrastructure improves the efficacy and accuracy of numerous agricultural duties. In this paper, we present a comprehensive autonomous navigation architecture for holonomic mobile robots in greenhouses. Our approach utilizes the heating system rails to navigate thro

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Putra, Sumari, Mohd Kassim Azleena, Ong Song-Quan, Nair Gomesh, Dabbagh Ragheed Al, and Farihah Aminuddin Nur. "Classification of jackfruit and cempedak using convolutional neural network and transfer learning." International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1353–61. https://doi.org/10.11591/ijai.v11.i4.pp1353-1361.

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Jackfruit (Artocarpus integer) and Cempedak (Artocarpus heterophyllus) are two different Southeast Asian fruit species from the same genus that are quite similar in their external appearance, therefore, sometimes difficult to be recognized visually by humans, especially in the form of pictures. Convolutional neural networks (CNN) and transfer learning can provide an excellent solution to recognize fruits, where the methods are known to be able to classify objects with high accuracy. In this study, several models were proposed and constructed to recognize the Jackfruit and Cempedak using a deep

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Gomez-Cruz, Clara, Sonia Laguna, Ariadna Bachiller-Pulido, et al. "Single Plane Illumination Microscopy for Microfluidic Device Imaging." Biosensors 12, no. 12 (2022): 1110. http://dx.doi.org/10.3390/bios12121110.

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Three-dimensional imaging of live processes at a cellular level is a challenging task. It requires high-speed acquisition capabilities, low phototoxicity, and low mechanical disturbances. Three-dimensional imaging in microfluidic devices poses additional challenges as a deep penetration of the light source is required, along with a stationary setting, so the flows are not perturbed. Different types of fluorescence microscopy techniques have been used to address these limitations; particularly, confocal microscopy and light sheet fluorescence microscopy (LSFM). This manuscript proposes a novel

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Oh, Kyung, Jeongwon Paik, and Jee-Hwan Kim. "Esthetic Rehabilitation of Maxillary Anterior Teeth, Including an Immediate Provisionalization with an Implant-Supported Fixed Dental Prosthesis." Journal of Clinical Medicine 8, no. 4 (2019): 428. http://dx.doi.org/10.3390/jcm8040428.

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This report describes the case of a patient who required rehabilitation of their maxillary anterior teeth following a traumatic injury through a physical altercation. The decision was made to extract the maxillary central incisors and maxillary right lateral incisor, perform immediate implantation on the maxillary right lateral incisor and left central incisor areas, and place a three-unit immediate provisional restoration. Predesigned virtual teeth enabled efficient fabrication of the immediate provisional restoration following the implant placement. After a sufficient healing period with per

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LEE, ROBERT. "Customs in Conflict: Some Causes of Anti-Clericalism in Rural Norfolk, 1815–1914." Rural History 14, no. 2 (2003): 197–218. http://dx.doi.org/10.1017/s0956793303001031.

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This article examines aspects of the relationship between the Norfolk poor and the Norfolk clergy between 1815 and 1914. It considers the potential impact clergymen could have upon a number of areas of secular life, especially with regard to the extirpation of popular culture and custom, the social and moral management inherent in charity and Poor Law administration, and the development of ‘power networks’ in the countryside that confronted the challenge posed by religious Nonconformity and political radicalism. The article is principally concerned with the importance of the Church of England

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