High-Resolution Multiple-Source 2D DOA Estimation Using Convolutional Neural Network With Robustness to Array Imperfections by Tarek Sallam, Qun Wang, Ahmed M. Attiya

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Temporal Features-Fused Vision Retentive Network for Echocardiography Image Segmentation by Zhicheng Lin, Rongpu Cui, Limiao Ning, Jian Peng

“…Physicians utilize echocardiography images to measure left ventricular volumes at end-diastole (ED) and end-systole (ES) frames, which are pivotal for calculating the ejection fraction and thus quantitatively assessing cardiac function. However, most existing approaches focus on features from ES frames and ED frames, neglecting the inter-frame correlations in unlabeled frames. …”
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Recursive Shrinking Toward Effective Cluster Isolation for Robust Electronic Noses by Shiv Nath Chaudhri

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Comparative Analysis of Measurement Tools in the Cognex D900 Vision System by Daniel Jancarczyk, Jacek Rysiński, Jakub Worek

“…The analysis examines the operation of selected functions offered by the vision system, comparing two methods of program preparation for inspection: user-configured functions performing the indicated measurements and image analysis using deep learning. …”
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Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment by Zhenzhen Cheng, Yifan Cheng, Bailing Miao, Tingting Fang, Shoufu Gong

“…Additionally, a novel Heritable Loss function is implemented to reduce redundancy and enhance model performance. …”
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Dual decoding generative adversarial networks for infrared image enhancement by Yang Yu, Lin Jiang, Qijun Hu, Qijie Cai, Qiang Zeng, Xin Sun

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Brain CT image classification based on mask RCNN and attention mechanism by Shoulin Yin, Hang Li, Lin Teng, Asif Ali Laghari, Ahmad Almadhor, Michal Gregus, Gabriel Avelino Sampedro

“…Abstract Along with the computer application technology progress, machine learning, and block-chain techniques have been applied comprehensively in various fields. …”
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Formalism of School Knowledge from the Standpoint of the Activity Approach in Psychology: Research Prospects by Anastasia N. Sidneva

“…Naive concepts, a “superficial” learning approach, functional illiteracy, the gap between knowledge and application — within the framework of this far from complete list, the same phenomenon of formalism is studied. …”
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Re-imagining education rights: Inclusive framework for neurodivergent learners in South Africa by Maitumeleng A. Nthontho, Shantha Naidoo

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Simulation and Optimization of Automated Guided Vehicle Charging Strategy for U-Shaped Automated Container Terminal Based on Improved Proximal Policy Optimization by Yongsheng Yang, Jianyi Liang, Junkai Feng

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Detecting Mentions of Green Practices in Social Media Based on Text Classification by Anna Valerevna Glazkova, Olga Vladimirovna Zakharova, Anton Viktorovich Zakharov, Natalya Nikolayevna Moskvina, Timur Ruslanovich Enikeev, Arseniy Nikolaevich Hodyrev, Vsevolod Konstantinovich Borovinskiy, Irina Nikolayevna Pupysheva

“…Conversational RuBERT model was chosen for the implementation of the application prototype. The main function of the prototype is to detect the presence of the mention of nine types of green practices in the text. …”
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A Classification-Based Blood–Brain Barrier Model: A Comparative Approach by Ralph Saber, Sandy Rihana

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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

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How Does Neural Network Reparametrization Improve Geophysical Inversion? by Yuping Wu, Jianwei Ma

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Detection of Cognitive Performance Deterioration Due to Cold-Air Exposure in Females Using Wearable Electrodermal Activity and Electrocardiogram by Youngsun Kong, Riley McNaboe, Md Billal Hossain, Hugo F. Posada-Quintero, Krystina Diaz, Ki H. Chon, Jeffrey Bolkhovsky

“…Prolonged exposure to cold air can impair reaction time and cognitive function, which can lead to serious consequences. One mitigation strategy is to develop models that can predict cognitive performance by tracking physiological metrics associated with cold stress. …”
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Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…Existing approaches range from deep learning techniques such as Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) to conventional machine learning methods like Support Vector Machines (SVM) and Random Forest. …”
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Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference by Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu

“…This framework first constructs a prediction function for a fixed property using machine learning models, which is then simulated by mixed-integer linear programming to infer desired molecules. …”
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Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images by Marjan Firouznia, Erik Ylipää, Markus Henningsson, Carl-Johan Carlhäll

“…By using hyperbolic space learning, PoinUNet captures complex LA and EAT relationships and addresses class imbalance and fat geometry challenges using a new loss function. …”
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Research on lightweight tunnel cable fire recognition algorithm based on multi-scale features by Zimeng Liu, Lei Zhang, Huiqiang Ma, Xuebing Chen, Molin Zhang

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