Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review by Lise Safatly, Mario Bkassiny, Mohammed Al-Husseini, Ali El-Hajj

“…The cognitive engine features are discussed. Moreover, we study unsupervised classification algorithms and a reinforcement learning (RL) algorithm that has been proposed to perform decision-making in CR networks.…”
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Privacy‐preserving speaker verification system based on binary I‐vectors by Aymen Mtibaa, Dijana Petrovska‐Delacrétaz, Jérôme Boudy, Ahmed Ben Hamida

“…These applications usually require users to transmit their recordings, features, or models from their voices over untrusted public networks which stored and processed them on cloud‐based infrastructure. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…Applied to the PRONOSTIA platform's bearing datasets, SASD produces refined health indicators suitable for predictive maintenance tasks, including Remaining Useful Life (RUL) estimation. The extracted features are evaluated using deep learning models like GRU, LSTM, and hybrid architectures, as well as conventional regression approaches, demonstrating SASD's effectiveness in improving prediction accuracy. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…DMGF leverages graph-based representations to capture the temporal and structural relationships within health datasets, enabling robust modeling of disease progression and patient interactions. …”
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Dynamic interactions between spatial change and travel behavior variation in old town fringe by Wenzhu Zhou, Qiao Li, Zhibin Li, Nan Wang, Qi Wang

“…Old town fringe area is changing in its spatial features, and these changes correspondingly result in variations in travel behaviors. …”
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Analysis of the Impact of Funding Policies for the Energy Refurbishment of Buildings Using Dynamic Simulations by Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Maria Vicidomini

“…To this scope, dynamic simulation models of several buildings with different features in terms of geometry, shape, and thermo-physical properties are considered. …”
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The reduction in Contempaerary formation Sculpture by Nibras hashim Thanoon

“…The fourth chapter included: the research results, the most important of which were the following: - 1- The presence of shorthand features in contemporary Iraqi sculptural formation gives an indication of the style of the individual artist in terms of style, technique, type, and type of word chosen for expression through the apparent differences in the type of work presented, as stated in all samples of the sample. 2- Much of the impact of environmental and social differences on the expression of some of the sample’s models emerged, which resulted in a variety of methods of reduction in contemporary Iraqi sculptural formation. 3- The diversity of reduction in contemporary Iraqi sculptural formation based on the difference in the expressive performance of reduction in documenting the idea. 4- Through the characteristic of reductionism in contemporary Iraqi sculptural formation, the Iraqi sculptor achieved by conveying a message to the recipient that he is liberated from the characteristic of limitation in expression and the type of work he wants to work on, in addition to open freedom with deep dimensions in interpretation, perception, and reception of the concepts of a single work. 5- Reduction in contemporary Iraqi sculptural formation emphasized the forms of circulating discourses, examining within them a pluralism in style, meaning, and social and historical evidence.   …”
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Sex moderated effect of body composition indices on change of direction speed mediated through a linear speed in team sport athletes by Dominika Wandrychowska, Dawid Koźlenia

“…Background and purpose Evaluation of body composition features have a place in sports practice. This study aimed to investigate the effect of body composition indices on change of direction speed  performance through linear speed ability. …”
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HCCD: A handwritten camera-captured dataset for document enhancement under varied degradation conditionsMendeley Data by K.S. Koushik, Bipin Nair B J, N. Shobha Rani

“…Although deep learning-based enhancement techniques have shown promise, the performance of deep learning models largely relies on the availability of meticulously labeled ground truth datasets. …”
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Agent-based multimodal information extraction for nanomaterials by R. Odobesku, K. Romanova, S. Mirzaeva, O. Zagorulko, R. Sim, R. Khakimullin, J. Razlivina, A. Dmitrenko, V. Vinogradov

“…For nanozymes, we obtain near-perfect precision (0.98) for kinetic parameters and essential features such as Cmin and Cmax. To benchmark the system performance, we also compare nanoMINER to several baseline LLMs, including the most recent multimodal GPT-4.1, and show consistently higher extraction precision and recall. …”
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Few-shot network intrusion detection method based on multi-domain fusion and cross-attention. by Congyuan Xu, Donghui Li, Zihao Liu, Jun Yang, Qinfeng Shen, Ningbing Tong

“…Additionally, we introduce a hierarchical feature encoding module based on a modified Mamba architecture, which leverages state space modeling to capture long-range dependencies and temporal patterns in traffic sequences. …”
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Accounting Development in the System of Transition to the New Standards of Financial Security of a Commercial Bank by A. V. Lukyanov

“…The article describes the features of the evolution theory in the system of statistical accounting of commercial bank’s financial security. …”
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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…The results confirm that the integration of the GWO algorithm into ABE enhances estimation accuracy and model robustness. By optimizing feature weights in the similarity function, GWO-ABE effectively addresses key limitations of traditional analogy-based methods. …”
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APPLICATION OF CLASSIFICATION BASED ASSOCIATION (CBA) FOR MONKEYPOX DISEASE DETECTION by Qoria Yudi Pratama, Mohammad Isa Irawan

“…In this case, the accuracy obtained is still low, but the results of other metrics show that the CBA model performs fairly well in predicting the positive class with high precision.…”
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Structure-Enhanced Prompt Learning for Graph-Based Code Vulnerability Detection by Wei Chang, Chunyang Ye, Hui Zhou

“…To further enhance representational capacity, we incorporate the pretrained model CodeBERTScore, a syntax-aware encoder, and Graph Neural Networks, enabling comprehensive modeling of both local syntactic features and global structural dependencies. …”
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Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease by Tabea Thies, Elisa Mallick, Johannes Tröger, Ebru Baykara, Doris Mücke, Michael T. Barbe

“…A total of 78 participants, including 51 males and 27 females, performed predefined standard speech tasks. Acoustic speech features were automatically extracted with the algorithm given by the Dysarthria Analyzer. …”
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A bikeshare station area typology to forecast the station-level ridership of system expansion by Steven R. Gehrke, Timothy F. Welch

“…This study of the Washington, DC, metro region’s Capital Bikeshare (CaBi) program answers this call by performing a latent class cluster analysis to identify five bikeshare station area types based on variation in a set of land development pattern, urban design, and transportation infrastructure features. …”
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Nonsuppressible Oral Dexamethasone Suppression Tests but Not Cushing Syndrome by Abilash Nair, Atul Dhingra, Anjana Gopi, Viveka P. Jyotsna

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Multi-LiDAR-Based 3D Object Detection via Data-Level Fusion Method by Yu Luo, Tao Wang, Shuai Lu, Xuerui Dai, Zhi Li

“…Secondly, a new point cloud detection model based on the deep learning framework is proposed, which enhances the feature extraction ability of small targets with sparse point clouds at the intersection of perception stations by focusing on features by attention mechanism. …”
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Neural mechanisms balancing accuracy and flexibility in working memory and decision tasks by Han Yan, Jin Wang

“…To explore the mechanism underlying DM and WM functions, here we applied a general non-equilibrium landscape and flux approach to a biophysically based model that can perform decision-making and working memory functions. …”
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