Search Results - data processing methods

IoT security approach based random distribution of communication frequency by Manga Tonga V Joseph Salomon, Mpoh Lobe Henri Pascal-Will, Malong Yannick, Maka Maka Ebenezer, Ihonock Eyembe Luc, Essiben Dikoundou Jean-François, Paul-Marie Moulema Douala, Yong Suk Joe

“…The performance achieved is promising for secure and efficient data transmission applications. • The concentrate on the vulnerabilities that arise in the network of IoT systems at the physical layer • We propose a method to close this security gap by using a random allocation of communication frequency between LoRa cards. • The results show that the coexistence between IoT is possible and the random allocation of communication frequencies introduced less than a second in transmission and reception of packets.…”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

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4D-CTA image and geometry dataset for kinematic analysis of abdominal aortic aneurysmsZenodo by Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat, Farah Alkhatib, Jens Carsten Ritter, Paul M. Parizel, Donatien Le Liepvre, Florian Bernard, Ludovic Minvielle, Antoine Fondanèche, Jane Polce, Christopher Wood, Karol Miller

“…Typically, the 4D-CTA dataset for each patient contains ten electrocardiogram (ECG)-gated 3D-CTA image frames acquired over a cardiac cycle, capturing both the systolic and diastolic phases of the AAA configuration. For method verification, the dataset also includes synthetic ground truth data generated from Patient 1’s 3D-CTA AAA image in the diastolic phase. …”
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Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Updating “BePLi Dataset v1: Beach Plastic Litter Dataset version 1, for instance segmentation of beach plastic litter” with 13 object classesSeanoe by Mitsuko Hidaka, Koshiro Murakami, Shintaro Kawahara, Yujin Nakagawa, Daisuke Sugiyama, Shin’ichiro Kako, Daisuke Matsuoka

“…To observe the distribution of this litter in detail, it is essential to have automated and objective image-processing methods that can be applied to images captured by remote sensing devices, such as web cameras and drones. …”
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Mining privacy-preserving association rules using transaction hewer allocator and facile hash algorithm in multi-cloud environments by D. Dhinakaran, S. Gopalakrishnan, D. Selvaraj, M.S. Girija, G. Prabaharan

“…All these components work together to protect the privacy of the data, wherever it is, during the transmission phase or the computation phase, even if it is raw data or processed data, on the different distributed cloud platforms. …”
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Bayesian adaptive trials for social policy by Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar, Ben Gales, Roman Marchant, Gilad Francis, Catarina Moreira, Alex Fischer

“…Recognizing the crucial need for evidence-based approaches in public policy, the proposed approach aims to lower barriers to the adoption of evidence-based methods and to align evaluation processes more closely with the dynamic nature of policy cycles. …”
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Development of a risk assessment software for cumulative effect by Effah Kwabena Antwi, Gifty Osei, Wiafe Owusu-Banahene, John Boakye-Danquah, Prisca-Maria Okafor, Kobina Korankye, Akua Nyamekye Darko, Priscilla Toloo Yohuno (Apronti)

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TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

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Heat4Future: A strategic planning tool for decarbonizing district heating systems by Nina Kicherer, Pablo Benalcazar, Peter Lorenzen, Olessya Kozlenko, Sadi Tomtulu, Jan Trosdorff

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Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

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A dataset for vineyard disease detection via multispectral imagingZenodo by Alessio Saccuti, Filippo Graziosi, Dario Lodi Rizzini

“…The data were collected using a Micasense RedEdge-P multispectral camera, capturing six spectral bands across 172 image captures of three different grapevine varieties used in Lambrusco wines: Ancellotta, Marani, and Salamino. …”
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Potentials of administrative informatics for the analysis of policymaking: notes on the integration of administrative informatics into the policy cycle by Jörn von Lucke, Sander Frank

“…This integration offers substantial added value for analyzing and shaping the policy processes of the European Green transformation. Moreover, this heuristic approach enables the ex-ante prediction of changes in policymaking based on the theories, models, methods, and application areas of administrative informatics. …”
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Modification of an automated precision farming robot for high temporal resolution measurement of leaf angle dynamics using stereo vision by Frederik Hennecke, Jonas Bömer, René H.J. Heim

“…We demonstrate the system's accuracy and reliability, with minimal deviation from reference values. The method can be utilized by other researchers to gather data on leaf angles and other structural plant traits at regular intervals to access the dynamics of leaves, plants, and canopies. …”
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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…The model demonstrated its efficacy with a predicted New Average Length of Stay (New ALOS) achieving a mean absolute error (MAE) of ±5 ., significantly improving accuracy compared to traditional methods. Additionally, the integration of fuzzy and stochastic elements led to a 20 . reduction in bed allocation mismatches, optimizing resource utilization across hospital departments. • Novel Integration of Lomax Distribution in FSTPWLD: Utilizes the Lomax distribution to model heavy-tailed LOS data, capturing inherent uncertainty and variability in hospital discharge times. • Optimized Decision-Making for Healthcare Management: Employs probabilistic constraints and fuzzy stochastic models to balance operational costs and patient care quality, improving resource allocation. • Validated through Simulations and Practical Scenarios: Numerical experiments highlight the model's effectiveness in reducing bottlenecks and enhancing hospital administration efficiency.…”
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RepD3D: A tool for representative period identification and associated boundary condition extraction by Clayton Cyril Soares, Arne Knies, Christian Winter

“…RepD3D integrates water level and wave data from EasyGSH (1996–2016, German North Sea) and wind data from COSMO-REA6 (1995–2019, Europe), with its open-source design allowing for adaptation to other datasets. • RepD3D is a pre-compiled tool for Windows, designed to identify wind-based unfiltered and reduced representative periods and extract associated boundary conditions for modeling studies. • A modified version of the all-class correlation method, known as selective-class correlation, is introduced to identify representative periods specific to user-desired wind speeds and directions. • Boundary conditions for German North Sea (EasyGSH) and Europe (COSMO-REA6) are extracted and converted to DelftD3D-4-readable input files.…”
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Early mobilization after lung transplantation: A scoping review protocol by Matthieu Reffienna, Adéla Foudhaïli, Colin Sidre, Damien Vitiello, Jonathan Messika

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Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis by Govindharaj I, Ramesh T, Poongodai A, Senthilkumar K. P, Udayasankaran P, Ravichandran S

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