Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…However, a key challenge is that different attribution methods often produce different outcomes undermining trust in their results. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…The ProjecTILs algorithm identified a higher proportion of Th1 cells, while Graph Convolutional Network (GCN) analysis showed no significant differences in T cell subtype proportions across different phenotypes. …”
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Caricature Face Photo Facial Attribute Similarity Generator by Muhammad Irfan Khan, Muhammad Kashif Hanif, Ramzan Talib

“…Furthermore, the ratio between different facial features was computed using different vertical and horizontal distances. …”
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Spherical harmonics texture extraction for versatile analysis of biological objects. by Oane Gros, Josiah B Passmore, Noa O Borst, Dominik Kutra, Wilco Nijenhuis, Timothy Fuqua, Lukas C Kapitein, Justin M Crocker, Anna Kreshuk, Simone Köhler

“…The characterization of phenotypes in cells or organisms from microscopy data largely depends on differences in the spatial distribution of image intensity. …”
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Online Calibration Method of LiDAR and Camera Based on Fusion of Multi-Scale Cost Volume by Xiaobo Han, Jie Luo, Xiaoxu Wei, Yongsheng Wang

“…In addition, due to the large domain differences between different public datasets, the existing online calibration algorithms are unstable for various datasets and have poor algorithm robustness. …”
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Species-independent analysis and identification of emotional animal vocalizations by Stavros Ntalampiras

“…Abstract Animal vocalizations can differ depending on the context in which they are produced and serve as an instant indicator of an animal’s emotional state. …”
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Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG by Tao Song, Kunpeng Zhang, Zhe Yan, Yuwen Li, Shuai Guo, Xianhua Li

“…To avoid the drawbacks of modeling methods, traditional machine learning and deep learning methods are employed to perform a nine-class classification task on the sEMG data, comparing the classification accuracy of different approaches. Finally, the motor intentions extracted using a multi-stream convolutional neural network (MLCNN) are utilized to control the iReMo^® end-effector rehabilitation robot, with the system’s motion smoothness and accuracy evaluated through tests involving different trajectories.…”
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An Explainable Model Using Graph-Wavelet for Predicting Biophysical Properties of Proteins and Measuring Mutational Effects by Shreya Mishra, Neetesh Pandey, Atul Rawat, Divyanshu Srivastava, Arjun Ray, Vibhor Kumar

“…Proteins hold multispectral patterns of different kinds of physicochemical features of amino acids in their structures, which can help understand proteins’ behavior. …”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…This systematic review concerns the implementation of AI methods for skin tumor classification with different imaging modalities, following the PRISMA guidelines. …”
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Link Aggregation for Skip Connection–Mamba: Remote Sensing Image Segmentation Network Based on Link Aggregation Mamba by Qi Zhang, Guohua Geng, Pengbo Zhou, Qinglin Liu, Yong Wang, Kang Li

“…This module facilitates nonlinear modeling across different channels and spaces through multipath activation, catering to international and local long-range dependencies. …”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. The purpose of this article is to discuss the state of the art of research and perspectives on APA applications in both research and clinical scenarios. …”
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Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning by Alfredo Petrella, Marco Miozzo, Paolo Dini

“…Two main Deep Learning architectures are designed based on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) and tested under different training conditions. …”
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A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

“…Its hierarchical structure allows the integration of different estimation models, and the self-evolving method allows the method to adapt to changes in different operating conditions. …”
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Deep Learning-Based Invalid Point Removal Method for Fringe Projection Profilometry by Nan He, Jiachun Huang, Shaoli Liu, Sizhe Fan, Jianhua Liu, Jia Hu, Hao Gong

“…In this paper, we propose a novel invalid point removal framework that consists of two aspects: (1) A convolutional neural network (CNN) is designed to segment the foreground from the background of different intensity conditions in FPP measurement circumstances to remove background points and the most discrete points in background regions. (2) A two-step method based on the fringe image intensity threshold and a bilateral filter is proposed to eliminate the small number of discrete points remaining after background segmentation caused by shadows and edge areas on objects. …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

“…Therefore, a framework was suggested to assess different deep learning models for the early identification of ASD. …”
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Fusarium Wilt of Banana Latency and Onset Detection Based on Visible/Near Infrared Spectral Technology by Cuiling Li, Dandan Xiang, Shuo Yang, Xiu Wang, Chunyu Li

“…Different data preprocessing methods were utilized, and Fisher discriminant analysis (FDA), an extreme learning machine (ELM), and a one-dimensional convolutional neural network (1D-CNN) were used to establish the classification models of the disease grades. …”
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Enhancing Speaker Recognition with CRET Model: a fusion of CONV2D, RESNET and ECAPA-TDNN by Pinyan Li, Lap Man Hoi, Yapeng Wang, Xu Yang, Sio Kei Im

“…In this study, two CRET models are proposed, and these two models are compared with the baseline models Multi-Scale Backbone Architecture (Res2Net) and ECAPA-TDNN in different channels and different datasets. The experimental findings indicate that our proposed models exhibit strong performance across various experiments conducted on both training and test sets, even when the network layer is deep. …”
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Dual Branch Encoding Feature Aggregation for Cloud and Cloud Shadow Detection of Remote Sensing Image by Naikang Shi, Haifeng Lin, Huiwen Ji, Min Xia

“…By capitalizing on their complementary strengths, this work proposed a dual-branch feature extraction architecture that utilizes two different feature aggregation modes to effectively aggregate features of CNN and Transformer at different levels. …”
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Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System by Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, David Hall

“…The different strengths and weaknesses of both deep learning and weak constraint 4D‐Var are discussed, highlighting the potential for each method to learn model biases effectively and adaptively.…”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…The previous deep learning models make use of large convolutional kernel and attention mechanisms for efficient dehazing. …”
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