Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics by Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma

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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

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Agent-based modeling of spreading infectious diseases: state-of-the-art by N. V. Saperkin

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An adaptive filter for anemia screening using deep convolutional neural network by Jose B. Lazaro, Jr., Jennifer C. Dela Cruz, Jocelyn F. Villaverde

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Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism by Yahong Ma, Zhentao Huang, Yuyao Yang, Shanwen Zhang, Qi Dong, Rongrong Wang, Liangliang Hu

“…DACB also introduces dot product attention mechanisms to learn the importance of spatial and temporal features, effectively improving the model’s accuracy. Results: The accuracy of this method in single-shot validation tests on the SEED-IV and DREAMER (Valence-Arousal-Dominance three-classification) datasets is 99.96% and 87.52%, 90.06%, and 89.05%, respectively. …”
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Multicriteria Model Proposition to Support the Management of Systems of E-Waste Collection by Ciro Henrique de Araújo Fernandes, Lucio Camara e Silva, Patricia Guarnieri, Bárbara de Oliveira Vieira

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Hyperspectral imagery quality assessment and band reconstruction using the prophet model by Ping Ma, Jinchang Ren, Zhi Gao, Yinhe Li, Rongjun Chen

“…To validate the effectiveness of the authors’ proposed model, extensive experiments on three publicly available uncorrected datasets are conducted. …”
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Predictive model of malignancy probability in pulmonary nodules based on multicenter data by Yuyan Huang, Yong Chen, Fang He, Li Jiang

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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

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AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development by Harun Al Azies

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Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models by Dan Ding, Yuting Wu, Tianzhen Wu, Chuangang Gong

“…Both the information value and certainty factor (CF) models were applied to evaluate the region’s landslide susceptibility, resulting in a classification of the area into five hazard levels. …”
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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

“…One major requirement is to develop lightweight adaptable models capable of recognizing academic activities, enabling effective decision making in various application domains. …”
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From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection by Asmita, Praveen Mittal

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Advanced Pharmaceutical Recognition System Based on Deep Learning for Mobile Medication Identification by Seongheon Kim, Minsu Chae, Jeungmin Lee, Hwamin Lee

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Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study by Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang

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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings by Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao

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A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications by Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho

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Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as addition... by Karen Rischmüller, Vanessa Caton, Markus Wolfien, Markus Wolfien, Markus Wolfien, Luise Ehlers, Matti van Welzen, David Brauer, Lea F. Sautter, Fatuma Meyer, Luzia Valentini, Mats L. Wiese, Ali A. Aghdassi, Robert Jaster, Olaf Wolkenhauer, Olaf Wolkenhauer, Georg Lamprecht, Saptarshi Bej, Saptarshi Bej

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Modeling of the additional channel of feedback in eye-tracking and neuro-computer interfaces by Yaroslav Aleksandrovich Turovsky, Sergey Victorovich Borzunov, Alexander Viktorovich Alekseev, Sergey Vladimirovich Boldyrev

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Highly efficient stacking ensemble learning model for automated keratoconus screening by Zahra J. Muhsin, Rami Qahwaji, Ibrahim Ghafir, Mo’ath AlShawabkeh, Muawyah Al Bdour, Saif Aldeen AlRyalat, Majid Al-Taee

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