Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM by Yue Xu, Yunyuan Gao, Zhengnan Zhang, Shunlan Du

“…Additionally, ablation experiments were conducted in this study to affirm the effectiveness of each deep learning component within MRBiL. The experimental results demonstrated that the novel neural network model proposed in this paper had outperformed currently available methods in emotion recognition tasks.…”
Get full text

Impact of the teacher education curriculum on the development of 21st-Century skills: Pre-service teachers’ perceptions by Mensah Prince Osiesi, Sylvan Blignaut

“…Underpinned by the theories of self-regulated learning, Technological Pedagogical Content Knowledge, and Planned Behaviour, the study adopted the descriptive survey research type of the non-experimental design. …”
Get full text

From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases by Frank Othengrafen, Lars Sievers, Eva Reinecke

“…The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. …”
Get full text

Spontaneous curvature in two-dimensional van der Waals heterostructures by Yuxiang Gao, Fenglin Deng, Ri He, Zhicheng Zhong

“…In this paper, we predict that 2D interfaces undergo “spontaneous curvature”, which means when two flat 2D layers approach each other, they inevitably experience out-of-plane curvature. Based on deep-learning-assisted large-scale molecular dynamics simulations, we observe significant out-of-plane displacements up to 3.8 Å in graphene/BN bilayers induced by curvature, producing a stable hexagonal moiré pattern, which agrees well with experimentally observations. …”
Get full text

Application, Challenges, and Prospects of Large Language Model in the Field of Traditional Chinese Medicine by CHEN Zijia, PENG Wenxi, ZHANG Dezheng, LIU Xin, WANG Zhifei

“…LLM has unique advantages in the field of traditional Chinese medicine (TCM), such as high consistency with the "Four Diagnostic Methods", perfect combination of natural language and self-supervised learning in TCM, the ability to adapt to the characteristics TCM formulas, and the assistance in TCM diagnosis and treatment. …”
Get full text

Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure by Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran, Zhi-Zeng Luo

“…Double Parameter Kernel Optimization based on Extreme Learning Machine (DPK-OMELM) was used to classify activities. …”
Get full text

Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm by Lu Gao, Karsten Schulz, Matthias Bernhardt

“…To this end, a new machine learning method, LASSO algorithm (least absolute shrinkage and selection operator), is used to address the disparity between ERA-Interim forecast precipitation data (0.25° grid) and point-scale meteorological observations. …”
Get full text

Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…This study explores and validates an integrated evaluation system that enhances the accuracy of predicting coal seam mining mode by comparing traditional evaluation methods with machine-learning techniques. The weights of the evaluation indicators for coal seam mining were allocated using the coefficient of variation method, followed by a comprehensive evaluation using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). …”
Get full text

MANAJEMEN PENDIDIKAN ISLAM MODERN DI PONDOK PESANTREN AL MA’HAD AL ISLAMY ERA SOCIETY 5.0 by Miftah Miftah, Toto Suharto

“…The research results show that Islamic boarding schools have integrated technology in various aspects of management, such as administration, communication and learning, with an approach based on Islamic values. …”
Get full text

PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

“…Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. …”
Get full text

Ultrasound Radiogenomics-based Prediction Models for Gene Mutation Status in Breast Cancer by Zhai Yue, Tan Dianhuan, Lin Xiaona, Lv Heng, Chen Yan, Li Yongbin, Luo Haiyu, Dan Qing, Zhao Chenyang, Xiang Hongjin, Zheng Tingting, Sun Desheng

“…By integrating clinical data with ultrasonic features, predictive models are developed using machine learning techniques, aiming to refine the capability to diagnose and personalize treatment plans for breast cancer patients. …”
Get full text

LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease by Cynthia Fox, Georg Ebersbach, Lorraine Ramig, Shimon Sapir

“…In addition, the intensive mode of delivery is consistent with principles that drive activity-dependent neuroplasticity and motor learning. The purpose of this paper is to provide an integrative discussion of the LSVT Programs including the rationale for their fundamentals, a summary of efficacy data, and a discussion of limitations and future directions for research.…”
Get full text

Treatment of gouty lumbar spinal stenosis: a case report and bioinformatics analysis by Xiao Zhang, Wenbo Gu, Di Luo, Xi Zhu, Xusheng Li, Haifeng Yuan

“…In addition, in order to further investigate the deep mechanism of LSS associated with gout, we obtained the intersecting genes of the two diseases based on a machine learning approach by obtaining the dataset GSE113212 related to LSS from the Gene Expression Omnibus (GEO) database, and the genes related to gout from the human gene database. …”
Get full text

Fault analysis and fault degree evaluation via an improved ResNet method for aircraft hydraulic system by Kenan Shen, Dongbiao Zhao

“…After that the evaluate results are given and analyzed, moreover the comparison between the SE-ResNet method with the other machine learning methods are given. The results show that the method in this paper has the best accuracy and shortest test time, therefore the method proposed in this paper has effective measures to improve the reliability of the aircraft hydraulic system.…”
Get full text

Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation by Zohra Rezgui, Amina Bassit, Raymond Veldhuis

“…Abstract Most deep learning‐based image classification models are vulnerable to adversarial attacks that introduce imperceptible changes to the input images for the purpose of model misclassification. …”
Get full text

Efficacy of Moxibustion in the Treatment of Parkinson’s Disease Based on Meta-Analysis under Intelligent Medical Treatment by Qianqian Niu, Weijie Xu

“…This article puts forward the related conceptual knowledge of smart medicine and meta-analysis and moxibustion treatment and proposes a deep learning method based on smart medicine to analyze the effects of moxibustion treatment on patients. …”
Get full text

Optimization of Mix Proportions for Novel Dry Stack Interlocking Concrete Blocks Using ANN by Krishna Prakash A, Jane Helena H, Paul Oluwaseun Awoyera

“…The inputs are given in the percentage ratio of cement: fly ash: crushed stone aggregate (FA): coarse aggregate (CA) for the process of learning, testing, and validation. The selected model is subjected to several trials in terms of mean square error, containing 4 input, 2 sets of 10 hidden layers, and one output components. …”
Get full text

OryzaGP: rice gene and protein dataset for named-entity recognition by Pierre Larmande, Huy Do, Yue Wang

“…Since there are rare benchmarks available for rice, we faced various difficulties in exploiting advanced machine learning methods for accurate analysis of the rice literature. …”
Get full text

PRACTICE OF DEVELOPMENT OF STUDENTS’ ADDITIONAL INTERDISCIPLINARY COMPETENCIES IN A MODERN UNIVERSITY by E. G. Syryamkina, T. B. Rumyantseva, E. Yu. Liventsova

“…A graduate of a modern university should have a broad vision, communication skills, desire for cooperation, self-development, creative application of gained knowledge and lifelong learning, in other words –the development of students’ additional interdisciplinary competencies. …”
Get full text

Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine by Lei Jiang, Jiaming Li, Suhuai Luo, Sam West, Glenn Platt

“…This paper focuses on developing an automatic power load event detection and appliance classification based on machine learning. In power load event detection, the paper presents a new transient detection algorithm. …”
Get full text