Pulse‐level work state recognition of multifunction radar based on MC‐RSG by Zijun Qin, Wenjuan Ren, Zhanpeng Yang, Xian Sun

“…Abstract Accurate work state recognition of multifunction radar (MFR) is crucial in electronic warfare, as it helps understand the enemy's intention and evaluate potential threats. A pulse‐level work state recognition method of MFR based on the residual block with spatial attention connected gated recurrent unit by features using metric coding and correlative embedding (MC‐RSG) is proposed. …”
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Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images by Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu, Nan Ma

“…Thus this paper focuses on salient region detection of social images using both image appearance features and image tag cues. First, a deep convolution neural network is built, which considers both appearance features and tag features. …”
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Immersive Multiplayer VR: Unreal Engine’s Strengths, Limitations, and Future Prospects by Santiago Berrezueta-Guzman, Stefan Wagner

“…Unreal Engine is at the core of this evolution, a powerful development platform known for its advanced networking tools, VR-specific capabilities, and seamless cross-platform support. …”
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Estimating Winter Wheat Canopy Chlorophyll Content Through the Integration of Unmanned Aerial Vehicle Spectral and Textural Insights by Huiling Miao, Rui Zhang, Zhenghua Song, Qingrui Chang

“…With more variables, BPNN, KELM, and CNN models effectively leveraged neural network advantages, improving training performance. (3) Compared to using single-feature indices for RCCC estimation, the combination of vegetation indices and texture indices increased from 0.16% to 40.70% in the R² values of some models. …”
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Application of Protein Structure Encodings and Sequence Embeddings for Transporter Substrate Prediction by Andreas Denger, Volkhard Helms

“…Furthermore, we compare the performance of these features either using a previously developed SVM model, or with a regularized feedforward neural network (FNN). …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…This design enables the network to adaptively extract continuous spectral features by modulating kernel depth, while simultaneously capturing fine-grained textural patterns through hierarchical convolutional operations. …”
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Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review by Aisha Raji, Urvashy Gopaul, Jessica Babineau, Milos R. Popovic, Cesar Marquez-Chin

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ENHANCEMENT OF CODE DIVISION MULTIPLE ACCESS (CDMA) WITHIN THE GSM SYSTEM IN IRAQ by Nabil Abdulwahab Abdulrazaq Baban

“…Currently, LTE (4G) is the dominant mobile technology in Iraq, provides faster data speeds, improved coverage, and enhanced features compared to CDMA. GSM network has still function in rural areas with low population density using GSM infrastructure as Time Division Multiple Access (TDMA), and Frequency Division Multiple Access (FDMA). …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…To address these challenges, we propose the Incomplete Lifecycle Data Enhanced Network (ILDENet), a self-supervised learning network incorporating contrastive learning to improve feature discrimination. …”
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Novel transfer learning based bone fracture detection using radiographic images by Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf

“…In this study, we propose a novel transfer learning-based approach called MobLG-Net for feature engineering purposes. Initially, the spatial features are extracted from bone X-ray images using a transfer model, MobileNet, and then input into a tree-based light gradient boosting machine (LGBM) model for the generation of class probability features. …”
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Les agglomérations du Centre-Est de la Gaule : quel devenir durant l’Antiquité tardive ? by Pierre Nouvel, Stéphane Venault

“…Since the 1980s the study of Roman urban features has been given a particular focus in the ten departments that make up the Centre-East of France. …”
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Anterior Cruciate Ligament (ACL) Tear Detection Using Hybrid CNN Transformer by Suthir Sriram, Deependra K. Singh, D. V. Sairam, Nivethitha Vijayaraj, Thangavel Murugan

“…Firstly, MambaConvT utilizes multi-core convolutional networks to achieve higher extraction capability of the ACL tear specific local features from structural MR (Magnetic Resonance) images. …”
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Decoding chromosomal instability insights in CRC by integrating omics and patient-derived organoids by Federica Papaccio, Manuel Cabeza-Segura, Blanca García-Micó, Francisco Gimeno-Valiente, Sheila Zúñiga-Trejos, Valentina Gambardella, María Fernanda Gutiérrez‐Bravo, Carolina Martinez‐Ciarpaglini, Pilar Rentero‐Garrido, Tania Fleitas, Susana Roselló, Juan Antonio Carbonell-Asins, Marisol Huerta, David Moro-Valdezate, Desamparados Roda, Noelia Tarazona, Manuel M. Sánchez del Pino, Andrés Cervantes, Josefa Castillo

“…We integrated the RNA-seq and mass spectrometry-based proteomics data from PDOs in a functional interaction network to identify the significantly dysregulated processes in CIN. …”
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Improving automated scoring of prosody in oral reading fluency using deep learning algorithm by Kuo Wang, Xin Qiao, George Sammit, Eric C. Larson, Joseph Nese, Akihito Kamata

“…This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network. …”
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Optimizing hypertension prediction using ensemble learning approaches. by Isteaq Kabir Sifat, Md Kaderi Kibria

“…Five machine learning (ML) models such as logistic regression (LR), artificial neural network (ANN), random forest (RF), extreme gradient boosting (XGB), light gradient boosting machine (LGBM), and a stacking ensemble model were trained using selected features to predict HTN. …”
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Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome by Jingfang Wang, Wenrui Zhu, Xia Li, Yuanyuan Wu, Wenhui Ma, Yangzhou Wang, Weihong Zhao, Fang Wei, Wenhao Wang

“…Various R packages were used for differential gene analysis, enrichment analysis, co-expression network construction, and prognostic model building.ResultsIt has been found that the prognosis of ovarian cancer patients is closely associated with sets of genes involved in inflammation. …”
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A Dual-Technology Approach: Handheld NIR Spectrometer and CNN for <i>Fritillaria</i> spp. Quality Control by Fengling Li, Wen Lei, Juan Li, Xiaoting Wang, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Ruyi Tian, Weihong Zhou, Jixiong Zhang, Jingjing Xia

“…., a handheld near-infrared spectrometer was combined with a convolutional neural network (CNN) to establish an efficient and convenient quality assessment method. …”
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The Impact of Revascularization Surgery on Headaches in Association with Cerebrovascular Reactivity in Patients with Moyamoya Angiopathy by Francy D. Gallego Moyano, Helena C. Janssen, Lashmi Venkatraghavan, David J. Mikulis, Hugo Andrade Barazarte, Ivan Radovanovic, Eef J. Hendriks, Joanna D. Schaafsma

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Himatanthus bracteatus stem bark ethanolic extract obtained by sequential pressurized liquid extraction: Chromatographic characterization and profiling of cytotoxic, antitumoral an... by Rose N. Pereira-Filho, Wilson D. Gonçalves-Júnior, Agenor G. dos Santos-Neto, John L.S. Cunha, Oslei P. de Almeida, Luciana N. Andrade, Daniela Droppa-Almeida, Ricardo G. Amaral, Cláudio Dariva, Juliana C. Cardoso, Patricia Severino, Eliana B. Souto, Ricardo L.C. de Albuquerque-Júnior

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KYNU is a potential metabolic-related biomarker for nasopharyngeal carcinoma by Raman spectroscopy, metabolomics, and transcriptomics analysis by Ziman Wu, Haiyan Yang, Yafei Xu, Xiang Ji, Dayang Chen, Chuang Zhang, Mingjie Liang, Xinying Li, Xiuming Zhang, Dan Xiong

“…The analysis included association analysis of differentially expressed metabolites (DEMs) and differentially expressed genes (DEGs), pathway enrichment analysis, and network analysis to elucidate the interplay between gene expression and metabolic alterations. …”
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