DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…These synthetic samples contain novel movement patterns not present in the observed data; systems trained on this information have better prediction performance. …”
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An Intelligent Agent-Based Resilient Framework for Marine Vessel Mission Adaptations by Nikos Kougiatsos, Evelien L. Scheffers, Marcel C. van Benten, Dingena L. Schott, Peter de Vos, Rudy R. Negenborn, Vasso Reppa

“…To make this transport more efficient, vessel design must adapt to changing missions, regulations and the occurrence of malfunctions. This paper presents the design of an intelligent decision-support framework to assist marine engineers and vessel operators in updating the system and control architecture of marine vessels before and during a mission. …”
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Evidence for habitual and goal-directed behavior following devaluation of cocaine: a multifaceted interpretation of relapse. by David H Root, Anthony T Fabbricatore, David J Barker, Sisi Ma, Anthony P Pawlak, Mark O West

“…It is believed that cues present during self-administration become learned and increase the probability that relapse will occur when they are confronted during abstinence. …”
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Corporate Technology for the Implementation of an Automated System: Functional, Technological and Methodological Aspects by O. E. Maslennikova, O. B. Nazarova

“…The research materials include a functional model for developing a corporate technology for implementing an automated system in the form of a function tree.Results. The results present a model of causes and factors determining the success of the projects for the implementation of the automatization systems. …”
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Corporate technology for the implementation of an automated system: functional, technological and methodological aspects by Olga Maslennikova, Olga Borisovna Nazarova

“…The research materials include a functional model for developing a corporate technology for implementing an automated system in the form of a function tree.Results. The results present a model of causes and factors determining the success of the projects for the implementation of the automatization systems. …”
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Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study by Andrew Houston, Sophie Williams, William Ricketts, Charles Gutteridge, Chris Tackaberry, John Conibear

“…This study presents an approach using natural language processing to extract clinical concepts from free-text which are used to automatically form diagnostic criteria for lung cancer from unstructured secondary-care data. …”
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SDN-Enabled Resource Orchestration for Industrial IoT in Collaborative Edge-Cloud Networks by Jude Okwuibe, Juuso Haavisto, Ivana Kovacevic, Erkki Harjula, Ijaz Ahmad, Johirul Islam, Mika Ylianttila

“…We finally demonstrate the efficiency of the model by presenting experimental results from a prototype system. …”
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Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest and Neural Networks by Luke Weidner, Gabriel Walton

“…Automatically identifying mine and tunnel infrastructure elements, such as rock bolts, from point cloud data improves deformation and quality control analyses and could ultimately contribute to improved safety on engineering projects. …”
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PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports by Javier Corvi, Nicolás Díaz-Roussel, José M. Fernández, Francesco Ronzano, Emilio Centeno, Pablo Accuosto, Celine Ibrahim, Shoji Asakura, Frank Bringezu, Mirjam Fröhlicher, Annika Kreuchwig, Yoko Nogami, Jeong Rih, Raul Rodriguez-Esteban, Nicolas Sajot, Joerg Wichard, Heng-Yi Michael Wu, Philip Drew, Thomas Steger-Hartmann, Alfonso Valencia, Laura I. Furlong, Salvador Capella-Gutierrez

“…The extracted information is then presented for expert visualisation and validation in the PretoxTM Web App. …”
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Integrating machine-readable user interface requirements into open networked operating rooms by Okan Yilmaz, Dominik Stegemann, Klaus Radermacher, Miriam Lange, Armin Janß

“…This work presents an architectural overview incorporating ISO IEEE 11073-10700 standard requirements. …”
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Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…As a result, this research presents a framework that automatically detects demolishing wastes' location and optimizes utilized resources in demolition and transportation processes. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…An essential characteristic implemented by these clusters is autoscaling, which is the ability to automatically adapt the computing resources of a cluster to support variable workloads. …”
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A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning by Forrest Corcoran, Christopher E. Parrish, Lori A. Magruder, J. P. Swinski

“…However, a commonly identified limitation of ICESat‐2 bathymetric point clouds is that they lack accompanying spectral reflectance attributes, or even intensity values, which have been found useful for benthic habitat mapping with airborne bathymetric lidar. We present a novel method for extracting bathymetry from ICESat‐2 data and automatically adding spectral reflectance values from Sentinel‐2 imagery to each detected bathymetric point. …”
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A severity estimation method for lightweight cucumber leaf disease based on DM-BiSeNet by Kaiyu Li, Yuzhaobi Song, Xinyi Zhu, Lingxian Zhang

“…Deep learning techniques have shown promising results in automatically extracting disease image features for severity estimation. …”
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ALEXIS: Recreating the X-Ray Emission from the Full Solar Disk as a Linear Combination of Discrete Regions in the Extreme Ultraviolet and Soft X-Rays by Jorge R. Padial Doble, Kelly Holley-Bockelmann

“…Despite a wealth of multiwavelength, spatially resolved, time-domain solar activity data, an accurate and complete temporospatial solar flare census is unavailable, which impedes our understanding of the physics of flare production. We present an Automatically Labeled EUV and X-Ray Incident SolarFlares (ALEXIS) pipeline, designed to decompose the X-ray flux of the full solar disk into a minimum set of discrete regions on the solar surface. …”
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HOLESOM: Constraining the Properties of Slowly Accreting Massive Black Holes with Self-organizing Maps by Valentina La Torre, Fabio Pacucci

“…Fast and scalable, HOLESOM offers a robust framework for automatically scanning large multiwavelength data sets, making it a valuable tool for unveiling hidden MBH populations in the local Universe.…”
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Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation by Alberto Lopez-Alanis, Hector de-la-Torre-Gutierrez, Arturo Hernandez-Aguirre, Maria T. Orvananos-Guerrero

“…The proposed approach automatically learns the optimal set of fuzzy operators and rules for fire detection to construct a combined model. …”
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RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

“…The program also provides the capability to automatically extract various plant and root measurements from the RSML file. …”
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Multiple Rows Mixers and Hsilu by Xiaobin Yu, Meicheng Liu

“…This approach can automatically generate linear layers that meet the requirements of a given branch number. …”
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Extraction of the essential elements for urban systems modelling – A word-to-vector approach by Tatenda Hatidani Katsumbe, Arnesh Telukdarie, Megashnee Munsamy, Christian Tshukudu

“…In order to resolve these complexities, this study seeks a systems-based approach including a 2-tier structured protocol, leveraging qualitative-to-quantitative techniques to automatically extract the key systems which impact the development of city models. …”
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