Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines by Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia

“…Our results show comparable performance between the two pipelines in Leave-One-Site-Out (LOSO) validation, achieving state-of-the-art performance on the independent test set ( $$MAE=3.21$$ M A E = 3.21 with DNN and morphometric features and $$MAE=3.08$$ M A E = 3.08 with a DenseNet-121 architecture). SHAP provided the most consistent and interpretable results, while DeepSHAP exhibited greater variability. …”
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Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images by Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang

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Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations by Kota Nakajima, Kazuki Saito, Yasuhiro Tsujimoto, Toshiyuki Takai, Atsushi Mochizuki, Tomoaki Yamaguchi, Ali Ibrahim, Salifou Goube Mairoua, Bruce Haja Andrianary, Keisuke Katsura, Yu Tanaka

“…This study aims to assess the robustness of a convolutional neural network (CNN) model for rice AGB estimation across five locations in three countries, and to demonstrate the feasibility of robust model via a practical approach. …”
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MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition by Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah Alamri

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Intercomparison of Machine Learning Models for Spatial Downscaling of Daily Mean Temperature in Complex Terrain by Sudheer Bhakare, Sara Dal Gesso, Marco Venturini, Dino Zardi, Laura Trentini, Michael Matiu, Marcello Petitta

“…Conversely, MAE decreases with increased elevation for RF and CNN, particularly for summer, and remains mostly stable for other seasons.…”
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Fault diagnosis method for rigid guides in vertical shaft hoisting systems by WANG Jianfeng, JIN Yuanzhi, ZHANG Yong, WANG Yongzhen, HE Jiacong

“…At present, vibration detection methods are mostly used for rigid guide fault diagnosis, but the diagnostic accuracy is easily affected by operating conditions such as cage load and running speed. …”
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INFORMATION IMAGE MODEL by Evgeniy V. Yurkevich

“…A model of a convolution of information in the form of image and symbol. …”
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A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery by Martina Formichini, Carlo Alberto Avizzano

“…Nevertheless, most of these networks were designed to perform in different scenarios, such as autonomous driving and medical imaging. …”
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Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models by Guido Bologna, Jean-Marc Boutay, Damian Boquete, Quentin Leblanc, Deniz Köprülü, Ludovic Pfeiffer

“…We first used FidexGlo with ensembles and support vector machines (SVMs) to show that its performance on three benchmark problems is competitive in terms of complexity, fidelity and accuracy. The most challenging part was then to apply it to convolutional neural networks. …”
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

“…Convolutional models with U-Net architecture were the most commonly used deep learning algorithms. …”
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Estimating Age and Sex from Dental Panoramic Radiographs Using Neural Networks and Vision–Language Models by Salem Shamsul Alam, Nabila Rashid, Tasfia Azrin Faiza, Saif Ahmed, Rifat Ahmed Hassan, James Dudley, Taseef Hasan Farook

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The Algorithm for Preparing a Set of Data for Teaching Neural Networks on the Example of the Task to Analyze the Radiological Images of Lungs by A. A. Kosareva

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Cultivation strategies of English thinking ability in the environment of Internet of Things by Shuling Yang, Yan Hou

“…With the widespread use of the Internet of Things (IoT) and from the perspective of deep learning, the Local Similar Convolutional Neural Network (LSNN) recommendation model is designed by adding adjustment layers to the Convolutional Neural Network (CNN). …”
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Comparison of Preprocessing Method Impact on the Detection of Soldering Splashes Using Different YOLOv8 Versions by Peter Klco, Dusan Koniar, Libor Hargas, Marek Paskala

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Occlusion‐invariant face recognition using simultaneous segmentation by Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers, Richard Arendsen

“…Abstract When using convolutional neural network (CNN) models to extract features of an occluded face, the occluded part will inevitably be embedded into the representation just as with other facial regions. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…However, the physical condition of the expert such as eyesight, fatigue, and work pressure can affect their decision-making capability. Today, deep convolutional neural networks (DCNNs), a novel approach to image classification, have become the most crucial detection method. …”
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A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

“…Most previous stock investing methods were unable to predict newly listed stocks because they did not have historical data on newly listed stocks. …”
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Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks by Jeyson A. Castillo, Yenny C. Granados, Carlos Augusto Fajardo Ariza

“… Atrial Fibrillation (AF) is the most common cardiac arrhythmia worldwide. It is associated with reduced quality of life and increases the risk of stroke and myocardial infarction. …”
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Face Identification Based on K-Nearest Neighbor by Ni Kadek Ayu Wirdiani, Praba Hridayami, Ni Putu Ayu Widiari, Komang Diva Rismawan, Putu Bagus Candradinata, I Putu Deva Jayantha

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Quality over quantity: how to get the best results when using docking for repurposing by Lenin Domínguez-Ramírez, Maricruz Anaya-Ruiz, Paulina Cortés-Hernández

“…Molecular docking is among the fastest and most readily available computational tools to explore protein–ligand interactions. …”
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