State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

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Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

“…The algorithm takes into account individual missing values using column-based imputation features and the overall data structure using row-based imputation features. …”
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Few-shot Learning: Methods and Applications by Li Jiaxiang, Li Mingyang

“…Model fine-tuning based FSL involves making slight adjustments to pre-trained models, allowing them to adapt to new tasks. …”
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Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning by Jared Pilet, Scott A. Beardsley, Chad Carlson, Christopher T. Anderson, Candida Ustine, Sean Lew, Wade Mueller, Manoj Raghavan

“…Our results strongly suggest that AEC-based features may provide more information about epileptogenicity compared to PLV-based features. …”
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FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction by Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva

“…Compared to existing approaches, FloodGNN-GRU (i) employs a graph-based model (GNN); (ii) operates on both spatial and temporal dimensions; and (iii) processes the water flow velocities as vector features, instead of scalar features. …”
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Treball per projectes amb servei a la comunitat Working for projects with services to the community Trabajo por proyectos con servicio a la comunidad by Ma. Jesús Martín García

“…To do so, it looks back at the contributions of authors from the latter half of the 19th century and the first half of the 20th century from different perspectives, and champions the social dimension and action in the community as basic features of cooperative research. It presents a working method for projects that is based on the ideas of Dewey and Kilpatrick and incorporates the modifications in the educational field that service implies, and the benefits it offers for training. …”
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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

“…The final model outcome results from linking several base learning models into an ensemble configuration. …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Furthermore, gravel-bed rivers have features that distinguish them from sand-bed rivers and caused problems and challenges in their analysis. …”
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An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

“…To address these limitations, we propose a Transformer-based unsupervised anomaly detection method for IVCM images, capable of identifying corneal abnormalities without prior knowledge of specific disease features.MethodsOur method consists of three submodules: an EfficientNet network, a Multi-Scale Feature Fusion Network, and a Transformer Network. …”
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Characterization of novel anoikis-related genes as prognostic biomarkers and key determinants of the immune microenvironment in esophageal cancer by Yani Su, Ming Zhang, Peng Xu, Pengfei Wen, Ke Xu, Jiale Xie, Xianjie Wan, Lin Liu, Zhi Yang, Mingyi Yang

“…The EC cohort was stratified into training and testing groups for model development and verification. …”
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A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils by Jaehyun Yoon, Jaehyeok Doh

“…The compressed latent image data were utilized as inputs for the FNN, which was trained to predict latent features. These features were decoded to forecast the corresponding pressure distribution images. …”
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Hardware realization of neuromorphic computing with a 4–port photonic reservoir for modulation format identification by Enes Şeker, Rijil Thomas, Guillermo von Hünefeld, Stephan Suckow, Mahdi Kaveh, Gregor Ronniger, Pooyan Safari, Isaac Sackey, David Stahl, Colja Schubert, Johannes Karl Fischer, Ronald Freund, Max C Lemme

“…Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performance of other recurrent networks with less training and lower costs. However, traditional software-based neural network (NN) require high energy due to computational demands and massive data transfer needs. …”
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A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics by Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun

“…Additionally, a combination of kriging-based yield maps with three best features, canola ratio index (CRI), canola index (CI), and structure intensive vegetation index (SIPI) indices, trained using support vector machine (R2=0.68), multi-layer perceptron (R2=0.7), and CNN_1D_Canola (R2=0.66) have the potential to predict canola yield based on spectral image-based features. …”
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TACTICS OF THE DENTIST DURING ORTHOPEDIC TREATMENT WITH DIFFERENT PROSTHESIS DESIGNS IN NON-STANDARD CLINICAL SITUATIONS by V.M. Dvornyk, H.M. Kuz, O.I. Teslenko, O.V. Dobrovolska, V.S. Kuz, K.Yu. Nedashkivskyi, K.V. Marchenko

“…The presence of exostoses is a contraindication to prosthetics with removable dentures and requires special surgical training. The quality of denture manufacturing for such patients depends on the condition of the prosthetic bed tissues, the method of taking an impression, the quality of impression and base materials, laboratory stages of dental work, experience in using removable structures, the patient's psychological state, his or her characteristic features and many other factors. …”
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Enhancing prosthetic hand control: A synergistic multi-channel electroencephalogram by Pooya Chanu Maibam, Dingyi Pei, Parthan Olikkal, Ramana Kumar Vinjamuri, Nayan M. Kakoty

“…These features were employed to train a Bayesian optimizer-based support vector machine (SVM). …”
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Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy by Edmund M. Qiao, John He, Katrina D. Silos, Jordan O. Gasho, Patrick Belen, Danielle S. Bitterman, Danielle S. Bitterman, Elizabeth McKenzie, Jennifer Steers, Christian Guthier, Anju Nohria, Michael T. Lu, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Andriana P. Nikolova, Raymond H. Mak, Raymond H. Mak, Katelyn M. Atkins, Katelyn M. Atkins

“…Extreme gradient boosting was utilized to discover novel clinical, dosimetric, and anatomical features (CT-based cardiac substructure segmentations) associated with MACE in a cohort of locally advanced NSCLC patients. …”
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Comparing the Effectiveness of Self-Compassion and Mindfulness Therapies on Affection Control of Poor Parenting Adolescents by Zahra EffatDoost Sani, Mohammad Reza Zarbakhsh Bahri, Alireza Homayuni

“…One experimental group received self-compassion therapy and the other experimental group received mindfulness therapy through training protocol for 8 sessions, while the control group did not get any treatment. …”
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Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network by Anupama V, Sudheep Elayidom M

“…Then, the Sparse Fuzzy C-Means Clustering (Sparse FCM) is employed to choose imperative features. At last, an adaptive recommendation of the engineering department is performed using DRNN, which is trained based on the Magnetic Invasive Weed Optimization (MIWO) algorithm. …”
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Imagined Speech Detection Using Multi-Receptive CNN for Asynchronous BCI Communication and Neurorehabilitation by Byung-Kwan Ko, Seo-Hyun Lee, Seong-Whan Lee

“…To address these issues, we introduce a multi-receptive field convolutional neural network, designed to capture speech and idle states based on behaviorally-aligned EEG features. We propose a voice-based ground truth alignment method with voting strategy that aims to synchronize imagined speech with overt speech onset and offset, providing a structured approach for capturing speech events in asynchronous BCI systems. …”
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Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: A systematic review. by Muhammad Ibtsaam Qadir, Jackson A Baril, Michele T Yip-Schneider, Duane Schonlau, Thi Thanh Thoa Tran, C Max Schmidt, Fiona R Kolbinger

“…Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management of intraductal papillary mucinous neoplasm (IPMN) largely depends on imaging features. …”
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