Clustering Large-Scale Biomedical Data to Model Dynamic Accumulation Processes in Disease Progression and Anti-Microbial Resistance Evolution by Kazeem A. Dauda, Olav N. L. Aga, Iain G. Johnston

“…Accumulation modelling uses machine learning to discover the dynamics by which systems acquire discrete features over time. …”
Get full text

Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. First of all, in this algorithm, the system outputs are generated according to random weights. …”
Get full text

Predictive Modeling in Higher Education: Determining Factors of Academic Performance by F. M. Gafarov, Ya. B. Rudneva, U. Yu. Sharifov

“…For several decades in the field of data mining in education (EDM), predictive learning has remained one of the most popular and internationally discussed research topics. …”
Get full text

Kidney Segmentation with LinkNetB7 by Cihan Akyel

“…In studies of kidney segmentation with artificial intelligence, 3d deep learning models are used in the literature. These methods require more training time than 2d models. …”
Get full text

Switzerland cheese model to support the patient safety’s culture in a Cuban hospital by Rosa María Blanco Quintana, Yuliett Mora Pérez, Tania Solange Bosi de Souza Magnago, Liuva Mariela Navarro Martiatu, Zenia Tamara Sánchez García, Annia Lourdes Iglesias Armenteros

“…It is concluded that the patient safety culture must be understood as a non-punitive system that tries to become aware that things can go wrong, that it is capable of recognizing mistakes, learning from them and acting to improve, in this sense, the Switzerland cheese model supports these elements.…”
Get full text

A Small Target Detection Method Based on the Improved FCN Model by Guofeng Ma

“…The experimental results on public datasets show that the proposed method outperforms other deep learning algorithms (DLA) in the detection accuracy of small target objects. …”
Get full text

The Main Characteristics of Dialogic Interaction (Defining the Actual Tasks of Pedagogic Dialog by Y. V. Yermolayeva

“…According to the ontological version, the dialog is not only the instrument, but rather the dominating goal of education: it facilitates meaning- ful assimilation of skills and knowledge, including the learning ability; promotes cooperation and communal life skills; provides favorable conditions for versatile creative self-development. …”
Get full text

Abstract visual reasoning based on algebraic methods by Mingyang Zheng, Weibing Wan, Zhijun Fang

“…This paper constructs a relation model with object-centric inductive biases, learning end-to-end multi-granular rule embeddings at different levels. …”
Get full text

Examining the mediating role of motivation in the relationships between teacher-created motivational climates and quality of engagement in secondary school physical education. by Daniel Milton, Paul R Appleton, Eleanor Quested, Anna Bryant, Joan L Duda

“…The findings suggest that targeted professional learning opportunities for PE teachers are needed which facilitate more empowering climates and reducing disempowering strategies.…”
Get full text

Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by Luxin Jiang, Xiaohui Wang

“…Based on the online teaching quality evaluation model of BP neural network, the parameters of the model are constantly adjusted, the appropriate function is selected, and the particle swarm algorithm which is used in the training and learning process of the neural network is optimized. …”
Get full text

Portable solutions for plant pathogen diagnostics: development, usage, and future potential by Anurag Yadav, Kusum Yadav

“…Furthermore, the integration of these devices with digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), is transforming disease surveillance and management. …”
Get full text

A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

“…Abstract Class imbalance is a crucial challenge in classification tasks, and in recent years, with the advancements in deep learning, research on oversampling techniques based on GANs has proliferated. …”
Get full text

IMPACT OF MANAGEMENT CONTROL SYSTEM ON THE QUALITY OF TEACHING IN NIGERIAN PUBLIC UNIVERSITIES by Abdulfatai Olanrewaju Nurudeen, Abdul Garba

“… Quality of teaching of a given institute of learning can be linked to effective use of management control techniques by the management. …”
Get full text

Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Diffractive neural networks (DNNs) are emerging as a novel optical computing architecture that combines wave optics with deep-learning methods for high-speed parallel information processing. …”
Get full text

Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Shuang Ma

“…From rotor vibration fault diagnosis, the results demonstrate that the proposed method possesses high precision, good learning ability, good generalization ability, and strong fault-tolerant ability (robustness) in four aspects of distinguishing fault types, fault severity, fault location, and noise immunity of rotor stochastic vibration. …”
Get full text

Applying virtual reality to teach the software development process to novice software engineers by Ulas Gulec, Murat Yilmaz, Veysi Isler, Paul M. Clarke

“…To fill this gap, this study proposes a Virtual Reality Based Software Development Framework (VR‐SODEF), which provides an interactive virtual reality experience for individuals learning about the tasks of software development starting from requirement analysis through software testing. …”
Get full text

Factorial Structure of Cognitive Activity Using a Neuropsychological Test Battery by A. Ardila, M. Rosselli, J. R. Bateman

“…Delayed Associative Learning subtest measured Factor VII; and Digits measured Factor VIII. …”
Get full text

Maturation, Refinement, and Serotonergic Modulation of Cerebellar Cortical Circuits in Normal Development and in Murine Models of Autism by Eriola Hoxha, Pellegrino Lippiello, Bibiana Scelfo, Filippo Tempia, Mirella Ghirardi, Maria Concetta Miniaci

“…In the adult cerebellar cortex, many developmental mechanisms persist but play different roles, such as supporting synaptic plasticity during learning and formation of cerebellar memory traces. …”
Get full text

Two Improved Methods of Generating Adversarial Examples against Faster R-CNNs for Tram Environment Perception Systems by Shize Huang, Xiaowen Liu, Xiaolu Yang, Zhaoxin Zhang, Lingyu Yang

“…Trams have increasingly deployed object detectors to perceive running conditions, and deep learning networks have been widely adopted by those detectors. …”
Get full text

Superstrength permanent magnets with iron-based superconductors by data- and researcher-driven process design by Akiyasu Yamamoto, Shinnosuke Tokuta, Akimitsu Ishii, Akinori Yamanaka, Yusuke Shimada, Mark D. Ainslie

“…In this study, we employ machine learning to manipulate intricate polycrystalline microstructures through a process design that integrates researcher- and data-driven approaches via tailored software. …”
Get full text