Complex Dynamics and Effects of Memristive Load Using Current-Mode-Controlled in Buck Converter by Alain Soup Tewa Kammogne, Edwige Mache Kengne, Sundarapandian Vaidyanathan, Hilaire Bertrand Fotsin, Thomas Tatietse Tamo

“…Electronic power converters are in a state of exhibiting some complex features which can be influenced by the converter’s structure parameters and load, as well as its pulse period. …”
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AI-based prediction and detection of early-onset of digital dermatitis in dairy cows using infrared thermography by Marcelo Feighelstein, Amir Mishael, Tamir Malka, Jennifer Magana, Dinu Gavojdian, Anna Zamansky, Amber Adams-Progar

“…Our models achieved performances of above 81% accuracy on DD detection on ‘day 0’ (first appearance of clinical signs), and above 70% accuracy prediction of DD two days prior to the first appearance of clinical signs. …”
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Galectins: a potential pharmacological target by V. A. Serebryakova, O. E. Vaizova, E. L. Golovina, V. V. Kochubey

“…The main part of the lecture describes the results of research on the development of carbohydrate-based (β-galactoside derivatives or analogues) and non-carbohydrate-based (peptide-based, carboxamide derivatives) inhibitors capable of interacting with galectin-1 and galectin-3.The results of experiments performed on animal models and tumor cell cultures demonstrate that the antitumor effect of galectin antagonists is realized through the suppression of proliferation and metastasis, activation of tumor cell apoptosis, and modulation of the antitumor immune response. …”
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Artificial intelligence-driven classification method of grapevine major phenological stages using conventional RGB imaging by Ruben Íñiguez, Fikile Wolela, María Ignacia Gonzalez Pavez, Ignacio Barrio, Javier Tardáguila, Talitha Venter, Carlos Poblete-Echeverria

“…Results indicate that all three models achieved high classification accuracy, with ResNet-34 obtaining the highest accuracy (97.4 % validation, 95.6 % test), reinforcing its strong feature extraction capabilities. …”
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Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation by Ojonugwa Oluwafemi Ejiga Peter, Opeyemi Taiwo Adeniran, Adetokunbo MacGregor John-Otumu, Fahmi Khalifa, Md Mahmudur Rahman

“…Text-to-image synthesis was performed using fine-tuned Visual Large Language Models (LLMs). …”
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Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs by Yuan-Jin Lin, Shih-Lun Chen, Ya-Cheng Lu, Xu-Ming Lin, Yi-Cheng Mao, Ming-Yi Chen, Chao-Shun Yang, Tsung-Yi Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu, Chiung-An Chen

“…<b>Results</b>: We evaluated the performance differences among various YOLO models for implant brand detection. …”
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DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

“…DART-Vetter is a convolutional neural network that processes only the light curves folded on the period of the relative signal, featuring a simpler and more compact architecture with respect to other triaging and/or vetting models available in the literature. …”
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Swin-ReshoUnet: A Seismic Profile Signal Reconstruction Method Integrating Hierarchical Convolution, ORCA Attention, and Residual Channel Attention Mechanism by Jie Rao, Mingju Chen, Xiaofei Song, Chen Xie, Xueyang Duan, Xiao Hu, Senyuan Li, Xingyue Zhang

“…The decoder replaces traditional self-attention with ORCA attention to enable global context modeling with lower computational cost. Skip connections integrate a residual channel attention module, mitigating gradient degradation via dual-pooling feature fusion and activation optimization, forming a full-link optimization from low-level feature enhancement to high-level semantic integration. …”
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Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

“…While feature selection enhanced KNN’s diagnostic accuracy, it had a minimal impact on BAYES’s performance. …”
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An Incremental Regularization Kernel Randomized Neural Network for Electrical Energy Output Prediction in Combined Cycle Power Plant by Xinlei Li, Henggong Yue, Fei Li, Zerui Yun, Zhenzhou Li, Yongjie Liu, Wei Shi, Yang Liu

“…These nodes may lead to weak performance in real world data modeling tasks. An important factor is that the neural nodes constructed in the early stages may influence the quality of subsequently generated nodes. …”
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Region Boosting for Real-Time Object Detection Using Multi-Dimensional Attention by Jinlong Chen, Kejian Xu, Yi Ning, Zhi Xu

“…In this paper, considering the latest models may be somewhat over-optimized for anchor-free pipes, we elect to use YOLOX as our baseline and introduce a series of enhancements, forming in a new high-performance detector named YOLOAX. …”
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Predictive Maintenance for Cutter System of Roller Laminator by Ssu-Han Chen, Chen-Wei Wang, Andres Philip Mayol, Chia-Ming Jan, Tzu-Yi Yang

“…The study applies logistic regression (LR), random forest (RF), and support vector machine (SVM) for predictive modeling of the cutting tool’s condition. The results show that the prediction accuracies of these models are 87.55%, 93.77%, and 94.94%, respectively, with SVM performing the best.…”
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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…Subsequently, the multi-dimensional classifier modeled by the random feature map can be adaptively trained using a two-level label dependencies exploitation strategy. …”
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Real-time dental caries segmentation with an efficient Deformable U-Net (DU-Net) for teledentistry system by Zendi Iklima, Trie Maya Kadarina, Ketty Siti Salamah, Arrival Dwi Sentosa

“…It shows a significant improvement in Dice score, reducing CPU and memory usage compared to conventional U-Net models. Moreover, the DU-Net and its half variants achieved competitive performance with much lower computational demands makes suitable for web servers and embedded applications. …”
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Current approaches to hotel service quality management: their development and state in Ukraine by I.V.

“…As an example, a brief description of the Service Quality and the Service Performance Models methods is given. The distinctive feature of the comprehensive approach is the quality requirements built into the enterprise management system. …”
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Deep-Learning Techniques Applied for State-Variables Estimation of Two-Mass System by Grzegorz Kaczmarczyk, Radoslaw Stanislawski, Marcin Kaminski

“…The article is focused on the application of neural models for state-variables estimation. The estimators are applied in the control structure (with the state speed controller) of the electric drive with an elastic shaft. …”
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C2IDTL: Novel Click to Image Conversion Approach for Deep Transfer Learning in Click Fraud Detection on Digital Platforms by Channa Fernando, Chamila Walgampaya, Janaka Alawatugoda

“…We evaluated the performance of C2IDTL on three publicly available datasets, namely FDMA 2012 BuzzCity, TalkingData AdTracking and Sweden Ad click datasets and compared the performances with the conventional state of the art ML models. …”
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Digital transformation of domestic enterprises in current conditions by M.B. Kulynych

“…It is found out that the opportunities of Internet technologies open before the enterprises the ways for changing the sizes of companies, for searching for methods of performing transactions, renewal of connection level between enterprises. …”
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Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost by Thanapong Champahom, Chinnakrit Banyong, Thananya Janhuaton, Chamroeun Se, Fareeda Watcharamaisakul, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

“…Utilizing a comprehensive dataset spanning 1993–2022 that includes vehicle registration data by size category, vehicle kilometers traveled, and macroeconomic indicators, this research evaluates both modeling approaches through multiple performance metrics. …”
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Application of ASTEC, MELCOR, and MAAP Computer Codes for Thermal Hydraulic Analysis of a PWR Containment Equipped with the PCFV and PAR Systems by Siniša Šadek, Davor Grgić, Zdenko Šimić

“…Despite considerable differences between the codes’ modelling features, the general trends of the NPP behaviour are found to be similar, although discrepancies related to simulation of the processes in the containment cavity are also observed and discussed in the paper.…”
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