Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…These measurements are processed and quantified such that the net outcome can express the evolution of the signature with increasing fault severity. …”
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Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints by Chenyang Zhang, Yunfei Xiang, Qiyuan Wang, Shuo Gu, Jianghua Deng, Rongchun Zhang

“…Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. …”
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Enhancing post-harvest sustainability in temperate crops through smart IoT-integrated indirect solar dryer by Brij Bhushan Sharma, Pankaj Vaidya, Nitin Kumar, Ankita Tiwari, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

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Device diversity in crowdsourced WiFi fingerprinting database for autonomous mobile robot by Ahmad Hakimi Ahmad Sa’ahiry, Abdul Halim Ismail, Masahiro Toyoura, Latifah Munirah Kamaruddin, Mohd Sani Mohamad Hashim, Muhamad Safwan Muhamad Azmi, Hiromitsu Nishizaki, Xiaoyang Mao

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New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance by Ionut Anghel, Tudor Cioara, Roberta Bevilacqua, Federico Barbarossa, Terje Grimstad, Riitta Hellman, Arnor Solberg, Lars Thomas Boye, Ovidiu Anchidin, Ancuta Nemes, Camilla Gabrielsen

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A 360-degree imagery-multisensor system for visualizing environmental parameters in architecture and urban spaces by Mojtaba Parsaee, André Potvin, Jean-François Lalonde, Marc Hébert, Claude M.H. Demers

“…The system is built using 3D printing technologies and Raspberry Pi computers, equipped with various sensor modules. Custom Python scripts enable real-time data capture, processing, and visualization. …”
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A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals by Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge

“…The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.…”
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Numerical development of drift in dilute plasmas to gravitational drift in nanocolloids by Ehsan Koushki, Hamid Akherat Doost, Abbas Koushki, Ahmad Farzaneh

“…In this study, numerical processing is used to simulate the drift velocity of a single charged particle. …”
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Graphene nanoribbon FET technology‐based OTA for optimizing fast and energy‐efficient electronics for IoT application: Next‐generation circuit design by Faraz Hashmi, M Nizamuddin, Mohammad Aleem Farshori, Syed Umar Amin, Zafar Iqbal Khan

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Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (UAS)-Collected Data: A Machine Learning (ML) Approach by Rojal Pokhrel, Reihaneh Samsami, Saida Elmi, Colin N. Brooks

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Feature Constraints Map Generation Models Integrating Generative Adversarial and Diffusion Denoising by Chenxing Sun, Xixi Fan, Xiechun Lu, Laner Zhou, Junli Zhao, Yuxuan Dong, Zhanlong Chen

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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. …”
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Multiple-criteria approach of evaluation of milk farm models in Bosnia and Herzegovina by Črtomir Rozman, Zoran Grgić, Aleksandar Maksimović, Ferhat Ćejvanović, Adis Puška, Branka Šakić Bobić

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A collection of FAIR Dutch Freedom of Information Act documents by Ruben van Heusden, Maik Larooij, Jaap Kamps, Maarten Marx

“…Abstract When Dutch citizens want to gain insights into the decision-making process of their government, they can file a so-called Freedom of Information Act request, requesting information on specific topics. …”
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Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning by Zhongzhou Chen, Chandralekha Singh

“…Most of today’s educators are in no shortage of digital and online learning technologies available at their fingertips, ranging from Learning Management Systems such as Canvas, Blackboard, or Moodle, online meeting tools, online homework, and tutoring systems, exam proctoring platforms, computer simulations, and even virtual reality/augmented reality technologies. …”
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Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue

“…Moreover, a deep learning algorithm is proposed to compute approximations of semiglobal stable manifold. …”
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Prototipe Penilaian Kinerja Tenaga Ahli PT. Inacon Luhur Pertiwi Dengan Pendekatan Adaptive Neuro Fuzzy Inference System (ANFIS) by Handa Gustiawan

“…The data obtained will be used for purposes of descriptive data analysis process by using Adaptive Neuro Fuzzy Inference System (ANFIS). …”
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Estimation of the Volume of Soil Loss Due to Gully Erosion in Iwogban Urban Catchment Area in Ikpoba-Okha Local Government in Benin City, Edo State, Nigeria by P. E. Eremen, G. S. Badru, T. M. Akoso, S. Odunuga

“… Soil erosion is an important morphological process contributing to land degradation in humid tropical environments. …”
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Subsystem-Based Fault Detection in Robotics via <italic>L2</italic> Norm and Random Forest Models by Elham Abdullah Alamoudi

“…Our approach involves dividing the system into subsystems, processing signals from a single sensor type, and using optimal features derived from the <inline-formula> <tex-math notation="LaTeX">$L2$ </tex-math></inline-formula> norm for prediction via a random forest model for detection. …”
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Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes... by Jamison H Burks, Leslie Joe, Karina Kanjaria, Carlos Monsivais, Kate O'laughlin, Benjamin L Smarr

“…Continuous glucose monitoring devices are commercially available and used to track glucose at high temporal resolution so that individuals can make informed decisions about their metabolic health. Algorithms processing these continuous data have also been developed that can predict glycemic excursion in the near future. …”
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