Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…To address this issue, this paper focuses on the restoration of image data acquired through digital image technology, leveraging deep learning techniques, and using soft and hard rocks made of similar materials as research subjects, an improved Incremental Transformer image algorithm is employed to repair distorted or missing strain nephograms during uniaxial compression experiments. …”
Get full text

Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…This method identifies natural groupings within biological data without prior labels. VGAE, a deep learning model, captures complex graph relationships for tasks like link prediction and edge detection. …”
Get full text

Study of social network interference of memory processes in adolescence by V. E. Baryshnikova, V. B. Nikishina, E. A. Petrash, V. A. Sotnikov, E. I. Kulikova

“…Memory is the fundamental basis of human learning. Conceptual assessment and study of the memory mechanisms, its formation, consolidation and preservation at different levels of the structural and functional organization of the nervous system constitutes the necessary knowledge for solving many problems of practical and fundamental psychology. …”
Get full text

Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism by Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar

“…Thus, although the findings provide strong evidence against a general and basic alteration in prior integration in autism, they cannot rule out more specific cases of reduced prior effect – such as due to implicit prior learning, particular level of decision making (e.g., social), and level of functioning of the autistic person. …”
Get full text

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. …”
Get full text

الکفاءات المهنیة للنشر الالکترونى :انعکاس للواقع فى العالم العربى by د. خالد عبد الفتاح محمد, د. منى فاروق على

“…To date, no study hascomprehensively investigated the requisite competencies for these tasks and thesources of learning and qualifying EP professional, especially in Egypt and theArab World. …”
Get full text

Individual, Group, and Organizational Factors Affecting Group Bidding Decisions for Construction Projects by Peng Yan, Junying Liu, Martin Skitmore

“…Moreover, 20 factors can be classified into five groupings: (1) values and strategic goals, (2) collaboration and learning orientation, (3) consensus reaching, (4) risk awareness, and (5) empowerment and development, with risk awareness having an especially strong influence. …”
Get full text

A CNN-LSTM-Based Model to Forecast Stock Prices by Wenjie Lu, Jiazheng Li, Yifan Li, Aijun Sun, Jingyang Wang

“…At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. …”
Get full text

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. …”
Get full text

Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. The LSTM outperforms the artificial neural network (ANN) model in terms of mean square error (MSE) and prediction accuracy (R2) for both training and testing datasets. …”
Get full text

Implementation of Student Course Evaluation: Pandemic Impact on the Non-Constraint Engagement (NCE) Model by Faridah Maarof, Said El-Emam, Raudah Mohd Yunus

“…Evaluations were performed via Moodle in the online Learning Management System (LMS) before mid-term of each semester. …”
Get full text

3D Reconstruction of a Nuclear Reactor by Muon Tomography: Structure Validation and Anomaly Detection by Baptiste Lefevre, Julien Vogel, Héctor Gomez, David Attié, Laurent Gallego, Philippe Gonzales, Bertrand Lesage, Philippe Mas, Daniel Pomarède

“…It comprises different tools based on data augmentation and machine learning, which proved to be very efficient on simulated data and increase the quality of the experimental data analysis. …”
Get full text

Cross-Camera External Validation for Artificial Intelligence Software in Diagnosis of Diabetic Retinopathy by Meng-Ju Tsai, Yi-Ting Hsieh, Chin-Han Tsai, Mingke Chen, An-Tsz Hsieh, Chung-Wen Tsai, Min-Ling Chen

“…To investigate the applicability of deep learning image assessment software VeriSee DR to different color fundus cameras for the screening of diabetic retinopathy (DR). …”
Get full text

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.…”
Get full text

Participatory ESOL as process and product: Community-based participatory research with refugee English learners by Melissa Hauber-Özer, Joseph Decker

“…However, in this article we argue that CBPR is both process and product, an effective method for facilitating learning and knowledge production. Through vignettes recreated from field notes, a learner-authored story and a participatory evaluation of the course, we examine the process we have undergone simultaneously as adult education and research about adult education. …”
Get full text

MACEDONIAN NATIONAL INNOVATION SYSTEM – MAIN CHALLENGES by Radmil Polenakovik, Ivana Stankovska, Bojan R. Jovanovski

Get full text

A Scalable Framework for Sensor Data Ingestion and Real-Time Processing in Cloud Manufacturing by Massimo Pacella, Antonio Papa, Gabriele Papadia, Emiliano Fedeli

“…Experimental validation using sensor data from the UCI Machine Learning Repository demonstrated substantial improvements in processing efficiency and throughput compared with conventional frameworks. …”
Get full text

Suicide prevention curriculum development for health and social care students: Protocol for a scoping review. by Kerrie Gallagher, Clíodhna O' Brien, Michelle O' Driscoll, Doireann Ní Dhálaigh, Paul Corcoran, Eve Griffin

“…Results will be presented in the form of tabulated results and an accompanying narrative summary, describing key findings and context related to learning outcomes, methodologies employed and implementation of the identified programmes.…”
Get full text

Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media by Irwan Budiman, Mohammad Reza Faisal, Astina Faridhah, Andi Farmadi, Muhammad Itqan Mazdadi, Triando Hamonangan Saragih, Friska Abadi

“…The classification of social media messages can be achieved through the application of classification algorithms. Many deep learning-based algorithms, such as Convolutional Neural Networks (CNN) or Long Short-Term Memory (LSTM), have been used for text classification. …”
Get full text

Investigating Rotor Conditions on Wind Turbines Using Integrating Tree Classifiers by Bikash Chandra Saha, Joshuva Arockia Dhanraj, M. Sujatha, R. Vallikannu, Mohana Alanazi, Ahmad Almadhor, Ravishankar Sathyamurthy, Kuma Gowwomsa Erko, V. Sugumaran

“…This research presents a methodology adaptation on machine learning technique for appropriate classification of different failure conditions on blade during turbine operation. …”
Get full text