Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system by Shiwei Zhang, Xinghan Liu

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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT. by Yasser Filahi, Omer Melih Gul, Ali Elghirani, Erkut Arican, Ismail Burak Parlak, Seifedine Kadry, Kostas Karpouzis

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Weakly supervised semantic segmentation and optimization algorithm based on multi-scale feature model by Changzhen XIONG, Hui ZHI

“…In order to improve the accuracy of weakly-supervised semantic segmentation method,a segmentation and optimization algorithm that combines multi-scale feature was proposed.The new algorithm firstly constructs a multi-scale feature model based on transfer learning algorithm.In addition,a new classifier was introduced for category prediction to reduce the failure of segmentation due to the prediction of target class information errors.Then the designed multi-scale model was fused with the original transfer learning model by different weights to enhance the generalization performance of the model.Finally,the predictions class credibility was added to adjust the credibility of the corresponding class of pixels in the segmentation map,avoiding false positive segmentation regions.The proposed algorithm was tested on the challenging VOC 2012 dataset,the mean intersection-over-union is 58.8% on validation dataset and 57.5% on test dataset.It outperforms the original transfer-learning algorithm by 12.9% and 12.3%.And it performs favorably against other segmentation methods using weakly-supervised information based on category labels as well.…”
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Positive youth predictors of purpose in life in Peruvian university students by Maria Elena Rojas Zegarra, Pablo A. Pérez-Díaz, Victor Ritchar Yana Calla, Vilma Vilca-Pareja, Rodrigo-Alejandro Ardiles-Irarrázabal, Agueda Muñoz-del-Carpio-Toia

“…Multiple regression analysis revealed that competence, confidence, support, commitment to learning, and positive identity significantly and directly predicted purpose in life, explaining 49.5% of it. …”
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Development of students’ subject position in the process of internship in an inclusive school by A. A. Baranov, A. S. Suntsova

“…A working definition of the subject position of the teacher is given. The teacher’s subject position consists not only in the complex of specific knowledge and competencies learned and applied in practice, but also, and above all, in a high level of self-organisation and self-determination of the individual in non-standard situations. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

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Nurses’ attitudes toward web-based learning and their impact on clinical performance, job satisfaction, and turnover: a cross-sectional study in Saudi Arabia by Mohammed Abu Thiyab, Ahmed Nahari

“…Nurses demonstrated positive attitudes toward web-based learning, supporting its potential to improve clinical performance and job satisfaction. …”
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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

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Model-Oriented Training of Coordinators of the Decentralized Control System of Technological Facilities With Resource Interaction by Volodymyr M. Dubovoi, Maria S. Yukhimchuk, Viacheslav V. Kovtun, Krzysztof R. Grochla

“…For the implementation of coordination methods, learning systems have an advantage since they can flexibly adapt to the specifics of each facility control. …”
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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

“…Crucially, M2D2’s drift-aware federated learning mechanism reweights local updates based on each site’s drift severity, preserving global model integrity at scale. …”
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Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images by Yao Wang, Yi Jiang, Weigui Zeng, Silei Cao

“…Based on this, the article proposes an integrated method combining dynamic target detection algorithms, edge detection operators, and deep learning‐based target detection algorithms. …”
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Expanding the evidence on integration of cash assistance in gender-based violence case management in humanitarian settings: lessons learned from multi-country evaluations by Emily Lyles, Nancy Glass, Elisabeth Sidabutar, Erika Garcia Roa, Carlos Hoyos, Andrea Pacheco, Diana Sarria, Alice Golay, Joanna Friedman, Eleonora Argenti, Madeline Madani, Pamela Di Camillo, Giada Cicognola, Elena Bertola, Shannon Doocy

“…Abstract Background The use of cash assistance in humanitarian emergencies has increased rapidly with positive outcomes across multiple objectives, including in health and protection. …”
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Study on Electric Power Fittings Identification Method for Snake Inspection Robot Based on Non-Contact Inductive Coils by Zhiyong Yang, Jianguo Liu, Shengze Yang, Changjin Zhang

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Robust Tracking Method for Small and Weak Multiple Targets Under Dynamic Interference Based on Q-IMM-MHT by Ziqian Yang, Hongbin Nie, Yuxuan Liu, Chunjiang Bian

“…To address these issues, this paper presents an improved multi-target tracking algorithm, termed Q-IMM-MHT. This method integrates Multiple Hypothesis Tracking (MHT) with Interactive Multiple Model (IMM) and introduces a Q-learning-based adaptive model switching strategy to dynamically adjust model selection in response to variations in the target’s motion patterns. …”
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A Novel Labeling Method for Radar Pulse Data With Complex Modulations and Parametric Overlaps by Youtan Wei, Yang Shen

“…In these tough conditions, azimuthal information is the key for data labeling instead of parameter-based methods. According to the measurement principle, the azimuthal information from the identical emitter shares the same positional relationship between the radiation source and the receivers. …”
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Child Physical Abuse Fundamentals in the Child Abuse Pediatrics Curriculum for Physicians (CAP-CuP) by Katie L. Johnson, Emily C. B. Brown, Caitlin E. Crumm

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Transfer Learning Based on Multi-Branch Architecture Feature Extractor for Airborne LiDAR Point Cloud Semantic Segmentation with Few Samples by Jialin Yuan, Hongchao Ma, Liang Zhang, Jiwei Deng, Wenjun Luo, Ke Liu, Zhan Cai

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SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

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Screen shooting resistant watermarking based on cross attention by Lianshan Liu, Peng Xu, Qianwen Xue

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Modern Evaluation Methods at Various Levels of Education by I. N. Emelyanova, O. A. Teplyakova, G. Z. Efimova

“…However, along with positive dynamics of active methods application for learning assessment, non-systemic use of such methods is noted as well. …”
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