Visualization of solving problems with sequences of numbers: Statistical comparison of the two methods by Mihajlov-Carević Miroslava, Milojević Nataša, Rešić Sead

“…Also in education. In the learning process, students are increasingly focused on the use of modern technologies and software packages. …”
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The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength by Rami Al-Qasimi, Firas Al-Hajri

“…To address these limitations, this study introduces innovative machine learning techniques, employing the Support Vector Regression (SVR) model to accurately predict USS. …”
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On the enhancement of estimator efficiency of population variance through stratification, transformation, and formulation with application to COVID-19 data by Hameed Ali, Zafar Mahmood, T.H. AlAbdulaal

“…This work introduces a novel data-driven machine learning algorithm aiming stratification problem, formally based on subjective approach. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…By prioritizing the importance of input feature positions, this module enhances the sparse learning performance of critical feature information. …”
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Effectiveness of teaching motivational interview technique to third professional year medical students to improve counseling skills – An interventional study by Govindaraju S. L. Manojna, B. Devi Madhavi

“…Health behavior change counseling skills were taught as a learning objective in medical curricula worldwide. …”
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Organizational school climate in city high schools from the perspective of teachers by Tadić Violeta M., Kordić Boris J.

“…A positive organizational school climate is recognized as a significant factor in teacher well-being and student learning outcomes. This research examined the quality of the organizational school climate in high schools in the Republic of Serbia. …”
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Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…Moreover, the utility of machine-learning-based and data-driven approaches is curtailed by the requirement for the numerical model to be differentiable for optimization purposes, which challenges their generalizability across different models. …”
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Regime Change: The Need for Scientific Critical Consciousness by Usama Javed Mirza

“…This is illustrated by presenting a “revamped” curriculum of the Cambridge Assessment International Education (CAIE) O’ level physics, complete with a learning outcomes and assessment framework. Parts of this curriculum were informally pre-piloted at a private school in Islamabad, Pakistan, and at a public school in Harlem, New York. …”
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A New Attack Recovery Approach and <italic>H</italic>&#x221E; Performance Analysis for LFC Systems With FDI Attacks and Uncertainties by Xuxia He, Ruimei Zhang, Puying Wang

“…The IAR model is capable of extracting rich attack signal features from historical measurement data by leveraging multi-task learning. Compared with previous models, including LSTM and LSTM-AE, the IAR model improves the efficiency of recovering attacks for a future period and improves the recovery accuracy. …”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

“…The proposed methodology integrates two feature extraction techniques, Histogram of Oriented Gradients (HOG) and Texture Moments, with the Random Forest machine learning algorithm. The research process encompasses four key stages: pre-processing, feature extraction, classification, and system evaluation, where the accuracy of individual and combined feature extraction methods is analyzed. …”
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Effect of Using Building Maintenance Information Management System in Maintenance Process in Ministry of Education by Twana Abdullah Hussein, Ahmet Oztas

“…Educational buildings and Schools are one of the important facilities in community directly related to all families and any problems in the buildings affect the learning process, in Kurdistan according to the latest status about 60% of schools need maintenance and renovations and these data’s needs to manage properly. …”
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Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks by Shougi S. Abosuliman, Saleem Abdullah, Nawab Ali

“…Abstract Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. …”
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Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

“…As a potential optimization technique, EMBGO holds promise for diverse applications in real-world problems and deep learning scenarios. The source code of EMBGO is made available in https://github.com/RuiZhong961230/EMBGO.…”
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MACEDONIAN NATIONAL INNOVATION SYSTEM – MAIN CHALLENGES by Radmil Polenakovik, Ivana Stankovska, Bojan R. Jovanovski

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Addressing Healthcare Access Inequalities in South Africa: Evaluating Legislative and Human Rights Obligations and Proposing Strategies for Improvement by Mlondolozi Mvikweni

“…Additionally, it suggests strengthening oversight mechanisms to ensure compliance with human rights obligations and improving data collection to understand better and address access disparities. Finally learning from Cuba’s healthcare model to improve the South African Healthcare System. …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…In recent years, significant progress about SISR has been achieved through the utilization of deep learning technology. However, these deep methods often exhibit large-scale networks architectures, which are computationally intensive and hardware-demanding, and this limits their practical application in some scenarios (e.g., autonomous driving, streaming media) requiring stable and efficient image transmission with high-definition picture quality. …”
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Overcoming ideology-consistent biases: does it help to make things easier? by Philip U. Gustafsson, Torun Lindholm, Freja Isohanni, Ola Svenson, Sophia Appelbom

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Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing by Nana Li, Zhipeng Weng, Fangmei Liu, Zuhe Li, Wei Wang

“…This method narrows the intra-class sample distribution and improves class separability, preventing the model from learning excessive irrelevant information and enhancing the robustness and generalization of face anti-spoofing. …”
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Multiscale characterization of medical devices and pharmaceutical formulations with 3D X-ray microscopy and computed tomography by Herminso Villarraga-Gómez, Ria L. Mitchell

“…It also covers deep-learning (DL) data reconstruction techniques that enhance 3D X-ray microscopy (XRM) and computed tomography (CT) applications in drug delivery and the pharmaceutical industry. …”
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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…Then, a new feature fusion module was proposed to enable the fusion network to learn additional original information. Finally, Wise-IoU was applied to replace CIoU in the loss function, so that the network pays more attention to the high-quality samples. …”
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