Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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Optimal Zero-Defect Solution for Multiple Inspection Items in Incoming Quality Control by Wenqing Zhou, Yufeng Chen

“…This approach ensures that all non-conforming parts are detected while minimizing the total number of inspection items. …”
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Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…Two case studies investigate faults through control effort and vibration signals, with control effort detecting motor and encoder faults, while vibration signals identify bearing faults. …”
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Towards a new Contextualized Annotation Schema for Unacceptable and Extreme Speech (CUES) to Unleash Generalization Capability of ML models by Dimitra Niaouri, Michele Linardi, Julien Longhi

“…Through our approach, we highlight the significance of context in enhancing the effectiveness of ML algorithms for detecting extreme online content.…”
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Effects of respiratory viruses on febrile neutropenia attacks in children by Bilge Aldemir-Kocabaş, Ergin Çiftçi, Gülsan Yavuz, Zümrüt Uysal, Elif İnce, İştar Dolapçı, Zeynep Ceren Karahan, Esra Pekpak, Adem Karbuz, Erdal İnce

“…Identifying viral agents may help to constitute individualized infection-management algorithms in these patients. …”
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Population Structure of the Invasive Asian Tiger Mosquito, Aedes albopictus, in Europe by Margaret K. Corley, Luciano Veiga Cosme, Peter A. Armbruster, Nigel Beebe, Anna Bega, Sebastien Boyer, Beniamino Caputo, Chun‐Hong Chen, Jacob E. Crawford, Alessandra dellaTorre, Roger Eritja, Michael C. Fontaine, Richard J. Gill, Trang Huynh, Perparim Kadriaj, Kevin Maringer, Ademir Jesus Martins, Andrew Maynard, Shomen Mukherjee, Leonard E. Munstermann, Verena Pichler, Maria Sharakhova, Sinnathamby Noble Surendran, Sandra Urbanelli, Enkelejda Velo, Isra Wahid, Muhammet Mustafa Akiner, Georgios Balatsos, Gilles Besnard, Maria Louise Borg, Daniel Bravo‐Barriga, Rubén Bueno Marí, Francisco Collantes, Cintia Horvath, Mihaela Kavran, Raquel Medialdea‐Carrera, Tanya Melillo, Antonios Michaelakis, Ognyan Mikov, Arianna Puggioli, Elton Rogozi, Francis Schaffner, Kayleigh Hackett, Thomas Johnson, Tina Wu, João Pinto, Vera Valadas, Adalgisa Caccone

“…Overall, data from the SNP chip offered a higher resolution for detecting the genetic structure and the potential origins of invasions.…”
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Three-Dimensional Measurement for Rigid Moving Objects Based on Multi-Fringe Projection by Jianhua Wang, Yanxi Yang, Mingwei Shao, Yuguo Zhou

“…Multi-fringe projection profilometry, such as the widely used phase-shifting and temporal phase unwrapping algorithms, can achieve high accuracy and robustness in three-dimensional shape reconstruction of static objects. …”
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Tourism planning in the Azores and feedback from visitors by João Crispim Ponte, Gualter Couto, Pedro Pimentel, Áurea Sandra Toledo de Sousa, André Oliveira

“…This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. …”
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Magnetic resonance imaging of cruciate ligament disorders: current updates by Tanda Yang, Yexin Li, Longtao Yang, Qian Liu

“…While conventional structural magnetic resonance imaging (MRI) can detect cruciate ligament anatomy and injuries, it has inherent limitations. …”
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Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression by Yuanbiao Li, Lei Yu, Yinsheng Wei

“…The ionosphere turbulent motions, detected by radar systems, result in a complex form of ionospheric inhomogeneity clutter. …”
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Regression with right-censored high-dimensional data: An application with different imputation techniques by Ersin Yılmaz, Dursun Aydın, S. Ejaz Ahmed

“…To solve the censorship problem, two imputation techniques are considered based on machine learning algorithms kNN and Sliding-windows methods respectively. …”
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Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest by Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, Michele Fornari, Paulo Grellmann, Telmo Jorge Carneiro Amado, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, José Luís Trevizan Chiomento

“…The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensable tool in the post-harvest phase. …”
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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…To develop predictive models of aflatoxin M1 in breast milk, we employed well-known supervised machine learning algorithms such as Random Forest and Gradient Boosting. …”
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Wearable Spine Tracker vs. Video-Based Pose Estimation for Human Activity Recognition by Jonas Walkling, Luca Sander, Arwed Masch, Thomas M. Deserno

“…This paper presents a comparative study for detecting the activities of daily living (ADLs) using two distinct sensor systems: the FlexTail wearable spine tracker and a camera-based pose estimation model. …”
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Harnessing AI forward and backward chaining with telemetry data for enhanced diagnostics and prognostics of smart devices by Muhammad Shoaib Farooq, Rizwan Pervez Mir, Atif Alvi, Kilian Tutusaus, Eduardo Garcia Villena, Fadwa Alrowais, Hanen Karamti, Imran Ashraf

“…This study proposes a novel AI-driven framework that integrates forward chaining and backward chaining algorithms to analyze telemetry data from IoT devices. …”
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RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays by Hanan Aljuaid, Hessa Albalahad, Walaa Alshuaibi, Shahad Almutairi, Tahani Hamad Aljohani, Nazar Hussain, Farah Mohammad

“…The RadAI model can accurately detect four types of lung abnormalities in chest X-rays and generate a report on each identified abnormality. …”
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The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety by Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai

“…The combination of big data and AI applications through machine learning algorithms analyzes manufacturing inefficiencies and recommends improvements for both medicine formulation and packaging as well as quality control measures. …”
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Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles by Loay Alfeqy, Hossam E. Hassan Abdelmunim, Shady A. Maged, Diaa Emad

“…Single-modality 3D MOT algorithms often face limitations due to sensor constraints, resulting in unreliable tracking. …”
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…Such algorithms provided prediction accuracies of 0.963, 0.739, 0.773, 0.866, and 0.866 sequentially. …”
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Entropy-Based Correlation Analysis for Privacy Risk Assessment in IoT Identity Ecosystem by Kai-Chih Chang, Suzanne Barber

“…This research introduces a quantitative framework for evaluating IoT privacy risks, centered on two algorithmically derived scores: the Personalized Privacy Assistant (PPA) score and the PrivacyCheck score, both developed by the Center for Identity at The University of Texas. …”
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