Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy by Tiandong Ma, Feng Li, Renlong Gao, Siyu Hu, Wenwen Ma

“…Subsequently, the temporal characteristics between the features are extracted in the BiLSTM layer. Finally, an attention mechanism is used to strengthen the key features by assigning weights to efficiently construct the relationship between the features and output variables. …”
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Features of “Inverted” Educational Resources for Distance Learning of Pupils by D. A. Barkhatova, A. L. Simonova, P. S. Lomasko, L. B. Khegay

“…Based on these features, the authors see a special effect of using such resources in the field of additional training. …”
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Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis by Saquib Khushhal, Abdul Majid, Syed Ali Abass, Rabia Riaz, Mohammad Babar, Shafiq Ahmad

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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…Advancements in feature extraction methods for automated depression diagnosis are highlighted as avenues for improving ML and DL model performance. …”
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AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting by Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan

“…By extracting features from downsampled sequences and integrating multi-resolution features through attention-gated co-training mechanisms, AMDCnet enables efficient modeling of complex time series data.ResultsAMDCnet achieving 44 best results and 10 second-best results out of 64 cases. …”
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Development Features of the FSES for Tiered and Continuous Higher Education by A. I. Altukhov, M. A. Skvaznikov, A. A. Shekhonin

“…The authors analyze the features, advantages and disadvantages of tiered and continuous higher education. …”
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PSYCHOLOGICAL AND PEDAGOGICAL FEATURES OF TEACHING MEDICAL AND BIOLOGICAL PHYSICS by Fediv Volodymyr, Olar Оlena, Biriukova Tetiana

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Editorial. Board and video games in education: Challenges and opportunities by Marcello Passarelli, Massimiliano Andreoletti, Liliana Silva, Sylvester Arnab

“… Game-Based Learning (GBL) continues to gain traction across educational levels, offering engaging, experiential approaches that foster both disciplinary learning and transversal competences. …”
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Feature Extraction of Plant Leaf Using Deep Learning by Muhammad Umair Ahmad, Sidra Ashiq, Gran Badshah, Ali Haider Khan, Muzammil Hussain

“…Classification of plants based on leaf features is a critical job as feature extraction (includes shape, margin, and texture) from binary images of leaves may result in duplicate identification. …”
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Enhancing FT-Transformer With a Matérn-Driven Kolmogorov-Arnold Feature Tokenizer for Tabular Data-Based In-Bed Posture Classification by Bing Zhou, Weiwei Chen

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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…Additionally, they often use short texts with few available features, making the analysis more challenging. To this end, this paper proposes a generative model for graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion. …”
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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…To address these issues, this study proposed a hierarchical two-level feature engineering approach. In the first level, relevant features were identified using multiple bootstrapped training sets. …”
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Using Explainable AI to Measure Feature Contribution to Uncertainty by Katherine Elizabeth Brown, Douglas A. Talbert

“…This work focuses on applying existing XAI techniques to deep neural networks to understand how features contribute to epistemic uncertainty. Epistemic uncertainty is a measure of confidence in a prediction given the training data distribution upon which the neural network was trained. …”
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FEATURES OF AN ESTIMATION OF INVESTMENT PROJECTS AT THE ENTERPRISES OF AVIATION INSTRUMENT by Petr P. Dobrov

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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…The two feature vectors and raw data are input into three neural networks, respectively, for training and each network votes for a predicted category of spectra. …”
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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

“…The study was carried out to develop software module for detecting the features of network intelligence by machine learning methods.M e t h o d s . …”
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Features of marketing for educational services of higher education institution by T.A. Yashchuk

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Coherent Spectral Feature Extraction Using Symmetric Autoencoders by Archisman Bhattacharjee, Pawan Bharadwaj

“…Extensive experiments across six benchmark hyperspectral datasets show that coherent features extracted by SymAE can be used to achieve state-of-the-art pixel-based classification. …”
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Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm by Ahmed Elbeltagi, Salim Heddam, Okan Mert Katipoğlu, Abdullah A. Alsumaiei, Mustafa Al-Mukhtar

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