Diagnostic of Osteoporosis Using Backpropagation Neural Networks by Falah A. Bida, Hayder A. Naser

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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…This approach avoids computationally expensive approaches such as SQL validation or detokenization, which improves the efficiency of the learning process compared to alternative methods. …”
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Fully automated unsupervised artefact removal in multichannel electroencephalogram using wavelet‐independent component analysis with density‐based spatial clustering of application... by Chong Yeh Sai, Norrima Mokhtar, Masahiro Iwahashi, Paul Cumming, Hamzah Arof

“…DBSCAN achieved excellent and robust performance in identifying artefactual components during the Wavelet‐ICA process, especially in consideration of the low‐density nature of typical artefactual signals. …”
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Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020 by Keegan E. Johnson, Paul C. Reneau, Matthew J. Komiskey

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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

“…These evolutionary algorithms simulate natural processes like selection, mutation, and crossover to optimize flood predictions and management strategies, improving adaptability in dynamic environments. …”
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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…Snow water equivalent (SWE), the amount of water generated when a snowpack melts, has been used to study the impacts of climate change on the cryosphere processes and snow cover dynamics during the winter season. …”
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Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks by Ghazaleh Kia, David Plets, Ben Van Herbruggen, Eli De Poorter, Jukka Talvitie

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The Outcomes and Publication Standards of Research Descriptions in Document Classification: A Systematic Review by Marcin Marcin Michal Mironczuk, Adam Muller, Witold Pedrycz

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A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection by Burak Gülmez

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A Novel Framework for Natural Language Interaction with 4D BIM by Larin Jaff, Sahej Garg, Gursans Guven

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Intelligent Fault Diagnosis of Wind Turbine Generator Bearings Using Acoustic Signals by Bei Zhao, Xiaomeng Li, Zedong Li, Minli You, Feng Xu

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Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things by Hassan Karim, Deepti Gupta, Sai Sitharaman

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FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method That Integrates Federated Learning Strategies by Yu Tao, Ruopeng Yang, Kaisheng Zeng, Changsheng Yin, Yiwei Lu, Wenxin Lu, Yongqi Shi, Bo Wang, Bo Huang

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Enhancing biomedical named entity recognition with parallel boundary detection and category classification by Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li

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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model by Mohammed N. Swileh, Shengli Zhang

“…By utilizing Random Forest for feature selection, we optimize model performance and reduce computational overhead, ensuring efficient and accurate detection. …”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. The nature of koala occlusion by canopy cover in these plantations was also examined using a combination of simulated and real data. …”
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Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learni... by Stephen H. Barlow, Sugama Chicklore, Yulan He, Sebastien Ourselin, Thomas Wagner, Anna Barnes, Gary J.R. Cook

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Determination of Fast-Moving Objects’ Speed and Range with Linear Frequency Modulation Continuous Wave Radar Using Autocorrelation Scheme by N. V. Sokolik

“…The results of the field experiment make it possible to draw conclusions that the proposed algorithm is highly robust even in the absence of inter-period secondary processing. Its usage allows one to improve the stability of the algorithm without considerable additional computational costs. …”
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

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Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia by Heather Dial, Lokesha S. Pugalenthi, G. Nike Gnanateja, Junyi Jessy Li, Maya L. Henry

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