Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…Additionally, the effects of training data size, task weights, and model structure on CNN-based MTL performance are comprehensively studied. …”
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Evaluation of Deep Learning Models for Polymetallic Nodule Detection and Segmentation in Seafloor Imagery by Gabriel Loureiro, André Dias, José Almeida, Alfredo Martins, Eduardo Silva

“…This paper evaluates the performance of representative models from both categories across three tasks: detection, object segmentation, and semantic segmentation. …”
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Dynamic Tuning and Multi-Task Learning-Based Model for Multimodal Sentiment Analysis by Yi Liang, Turdi Tohti, Wenpeng Hu, Bo Kong, Dongfang Han, Tianwei Yan, Askar Hamdulla

“…However, previous studies have focused on optimizing model architecture, neglecting the impact of objective function settings on model performance. …”
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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…We contribute by presenting the TSformer-VO model based on spatio-temporal self-attention mechanisms to extract features from clips and estimate the motions in an end-to-end manner. …”
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Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The trained classifier demonstrates robust performance in distinguishing these thematic patterns.DiscussionThe study shows that automated topic modeling, combined with expert input, can effectively uncover how therapist language patterns emerge and persist across different therapeutic styles. …”
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Pedagogical models of blended learning: On the experience of Russian and foreign practice of design and implementation by T. Yu. Pletyago, A. S. Ostapenko, S. N. Antonova

“…Each type of these models is described; their features, peculiarities and advantages are shown. …”
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Sensitivity of Model Estimates of CME Propagation and Arrival Time to Inner Boundary Conditions by Lauren A. James, Christopher J. Scott, Luke A. Barnard, Mathew J. Owens, Matthew S. Lang, Shannon R. Jones

“…This is only possible with accurate modeling of the event. To do so, we must understand the propagation of a CME through the heliosphere and quantify the performance of models through comparison with spacecraft observations. …”
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Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning by Hiroshi Koike, Miyuki Harada, Kaname Yoshida, Katsuhiko Noda, Chihiro Tsuchida, Toshihiro Fujiwara, Akari Kusamoto, Zixin Xu, Tsurugi Tanaka, Nanoka Sakaguchi, Chisato Kunitomi, Nozomi Takahashi, Yoko Urata, Kenbun Sone, Osamu Wada-Hiraike, Yasushi Hirota, Yutaka Osuga

“…To maximize performance, feature values used for model creation were narrowed down and extracted. …”
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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

“…The model simulation results are showing promising results in terms of the accuracy (98.13%) and the miss-rate (1.87%) which are the superior performance compared to the previous published approaches.…”
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Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population by Mendoza-Mendoza MM, Acosta-Jiménez S, Galván-Tejada CE, Maeda-Gutiérrez V, Celaya-Padilla JM, Galván-Tejada JI, Cruz M

“…Data are split by sex, and feature selection is performed using GALGO, a genetic algorithm-based tool. …”
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Defect Detection Model for Catenary Components in Environments with Few Samples and Small Targets by YU Xiaosi, WEI Baoquan, LI Zewen, DENG Fangming

“…Compared with the original YOLACT model, the comprehensive performance of the proposed defect detection model is improved by about 6.2%.…”
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A semantic-based model for the management of people with reduced mobility in airport facilities by Juan José Herrera-Martín, Gonçal Costa, Iván Castilla-Rodríguez, Evelio José González

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The Legal Values of the Formal Composition in the Interior Spaces of Beauty Centers as a Model by Liqa Ahmad Abd al- Rhman, Rana Abdalkareem Saieed

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Ion channel classification through machine learning and protein language model embeddings by Ghazikhani Hamed, Butler Gregory

“…This study extends our previous work on protein language models for ion channel prediction, significantly advancing the methodology and performance. …”
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An Improved DeepSORT-Based Model for Multi-Target Tracking of Underwater Fish by Shengnan Liu, Jiapeng Zhang, Haojun Zheng, Cheng Qian, Shijing Liu

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Large language models for depression recognition in spoken language integrating psychological knowledge by Yupei Li, Shuaijie Shao, Manuel Milling, Manuel Milling, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller

“…We extract the audio features using the pre-trained model Wav2Vec, and map them to text-based LLMs for further processing. …”
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A Daily Reference Crop Evapotranspiration Forecasting Model Based on Improved Informer by Junrui Pan, Long Yu, Bo Zhou, Junhong Zhao

“…Under the five-feature scenario (S3), the improved model achieved superior performance compared to Long Short-Term Memory (LSTM) and the original Informer models, with MAE reduced to 0.065 (LSTM: 0.637, Informer: 0.171) and MSE to 0.007 (LSTM: 0.678, Informer: 0.060). …”
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Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos by Shahab Uddin, Tahir Nawaz, James Ferryman, Nasir Rashid, Md. Asaduzzaman, Raheel Nawaz

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Mathematical Models for Disassembly Line Balancing and Pickup - Delivery Vehicle Routing Problem by Zeynel Abidin Çil, Damla Kızılay, Hande Öztop

“…The performance of the mixed-integer linear programming and constraint programming models has been evaluated using small-sized instances, and the computational findings indicate that both models can provide effective solutions for the problem.…”
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Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing by Beatriz A. Rivera-Aguilar, Erik Cuevas, Alberto Luque-Chang, Jesús López, Marco Pérez-Cisneros

“…Image contrast enhancement is an essential process that improves the visibility of many features that may remain hidden due to low-contrast conditions arising from environmental causes, limitations of the device, or the wrong setting of the camera. …”
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