A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle by Arnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, Marcellin Atemkeng

“…This resource is valuable for developing and testing computer vision, deep learning-based recognition systems and object detection models in agriculture, enabling automated evaluation of plum quality for commercialization. …”
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Research on Multilevel Classification of High-Speed Railway Signal Equipment Fault Based on Text Mining by Fan Gao, Fan Li, Zhifei Wang, Wenqi Ge, Xinqin Li

“…In the multilevel classification model, the single-layer classification model was designed based on stacking integrated learning idea; the recurrent neural network BiGRU and BiLSTM were used as primary learners, and the weight combination calculation method was designed for secondary learners, and k-fold cross verification was used to train the stacking model. …”
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THE USE OF LISTENING LOGS THROUGH WHATSAPP IN IMPROVING LISTENING COMPREHENSION OF EFL STUDENTS by Iwan Fauzi, Putri Angkasawati

“…The experiment treated in this study was to make a learning group of WhatsApp by inviting the students joining the group. …”
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Phygital Experience Platform for Textile Exhibitions in Small Local Museums by Supaporn Chai-Arayalert, Supattra Puttinaovarat, Wanida Saetang

“…The evaluation highlights positive impacts on visitor learning and accessibility, with high usability scores and favorable feedback confirming the platform’s success. …”
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Simulation of global sea surface temperature maps using Pix2Pix GAN by Deepayan Chakraborty, Adway Mitra

“…As an alternative approach, researchers are exploring if such simulated data can be generated by Generative Machine Learning models. In this work, we develop a model based on Pix2Pix conditional Generative Adversarial Network (cGAN), which can generate high-resolution spatial maps of global sea surface temperature (SST) using comparatively less computing power and time. …”
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Integrative Approach in Teaching English for Professional Purposes by V. A. Sokolova, I. V. Titova

“…In this study, it concerns the formation of professional competencies during the process of learning a foreign language. The basis of the successful implementation of an integrative approach at all levels is adding a reflective component, forming of reflective position of a student. …”
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Conceptual model of professional orientation of the population in regard to the profession of an “investigator” by N. E. Miloradova

“…It has been emphasized that a special role in exercising the career guidance regarding the selection of police professions should be directly attributed to employees of various police departments, educational institutions with specific learning conditions and the cadets who study there. …”
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Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests by Franck Nguyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck

“…We propose a hybrid approach that simultaneously exploits a data-driven model and a physics-based model, in mechanics of materials. During a machine learning stage, a classification of possible reduced order models is obtained through a clustering of loading environments by using simulation data. …”
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Universalization in the first course of Medicine studies: Experience during the first semester of 2004- 2005. by Margarita Roméu Escobar, Mayra Gil León, Raúl López Fernández

“…<strong>Objective:</strong> to explore the course of the teaching learning process of 1^st academic year of the medicine speciality as well as to assess the opinion state of its performers, and to identify achievements and difficultiesduring its development. …”
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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

“…We experimented on the CTU-13 dataset using different configurations of the convolutional neural network to evaluate the potential of deep learning on the botnet detection problem. In particular, we propose a botnet detection system that uses a web proxy. …”
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An Evaluation of the Role of School Institution in the Reproduction of Cultural-Social Inequalities and of Privileges by Eren Ağın, Duygun Göktürk

“…This study is based on three major texts: Pierre Bourdieu and Jean-Claude Passeron’s “The Inheritors: French Students and Their Relations to Culture”, Paul Willis’s “Learning to Labour: How Working-Class Kids Get Working Class Jobs”, and Signithia Fordham and John U. …”
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A Scoping Review of the Smart Irrigation Literature Using Scientometric Analysis by Daraje Kaba Gurmessa, Shimelis G. Assefa

“…The leading main topics addressed in the field are IOT, smart irrigation, irrigation, water stress, energy, deep learning, soil moisture, and relations in the network. …”
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Sustainable Cold Chain Management: An Evaluation of Predictive Waste Management Models by Hajar Fatorachian, Kulwant Pawar

“…This study evaluates the application of machine learning techniques—ARIMA (Auto-Regressive Integrated Moving Average) and Multiple Linear Regression (MLR)—to forecast demand trends and analyze key drivers in a mid-sized cold chain operation. …”
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Image Augmentation Using Both Background Extraction and the SAHI Approach in the Context of Vision-Based Insect Localization and Counting by Ioannis Saradopoulos, Ilyas Potamitis, Iraklis Rigakis, Antonios Konstantaras, Ioannis S. Barbounakis

“…Traditional insect monitoring methods are limited in scope, but advancements in AI and machine learning enable automated, non-invasive monitoring with camera traps. …”
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A mouse model of Bardet-Biedl Syndrome has impaired fear memory, which is rescued by lithium treatment. by Thomas K Pak, Calvin S Carter, Qihong Zhang, Sunny C Huang, Charles Searby, Ying Hsu, Rebecca J Taugher, Tim Vogel, Christopher C Cychosz, Rachel Genova, Nina N Moreira, Hanna Stevens, John A Wemmie, Andrew A Pieper, Kai Wang, Kai Wang, Val C Sheffield

“…Here, we demonstrate that BBS mice have significant impairments in context fear conditioning, a form of associative learning. Moreover, we show that postnatal deletion of BBS gene function, as well as congenital deletion, specifically in the forebrain, impairs context fear conditioning. …”
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Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles by Hiroki Masumoto, Hitoshi Tabuchi, Tsuyoshi Yoneda, Shunsuke Nakakura, Hideharu Ohsugi, Tamaki Sumi, Atsuki Fukushima

“…Neural networks and deep learning have been utilised in ophthalmology, but not for the purpose of classifying the severity of conjunctival hyperaemia objectively. …”
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The place of the higher education system in the innovation sphere in solving the problem of staffing the innovative economy. Part II by I. S. Prokhorova, Yu. N. Kafiyatullina

“…It is devoted to the problem of the network project-based learning development within the framework of the entrepreneurial university model implementation. …”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Simon Fong, Suash Deb, Raymond Wong, Guangmin Sun

“…Although the earlier classification algorithms are effective in traditional batch training, it may not be practical for incremental classifier learning. Since sonar signal data streams can amount to infinity, the data preprocessing time must be kept to a minimum to fulfill the need for high speed. …”
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An Approach of Community Search with Minimum Spanning Tree Based on Node Embedding by Jinglian Liu, Daling Wang, Shi Feng, Yifei Zhang

“…Node embedding uses deep learning method to obtain feature representation of nodes directly from graph structure automatically and offers a new method to measure the distance between two nodes. …”
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Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network by Xiaoxuan Wang, Jingjing Wang, Ying Zhang, Yixing Du

“…Therefore, this paper proposes to use a self-organizing competitive neural network to select early warning indicators. Its self-learning and adaptive characteristics and fault tolerance overcome the limitations of the above statistical methods. …”
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