Short-term and long-term changes in seizure frequency and neurocognitive status in pediatric patients after surgery for mixed neuronal-glial brain tumors by L. A. Gorlova, O. O. Shmeleva, E. V. Fedorov, A. V. Kim, Yu. V. Dinikina, W. A. Khachatryan, K. A. Samochernykh

“…During the postoperative period, 84% of patients were found to be seizure-free; 42.6% demonstrated no clinically relevant behavioral disturbances or social adaption issues after the surgery. However, 76% of children experienced poor concentration. …”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…Experimental results demonstrate that our method achieves an average classification accuracy of 80.38% on the BCI-IV Dataset 2a and 87.49% on the BCI-I Dataset 3a, outperforming other state-of-the-art decoding approaches. …”
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Online citizen science in higher education courses by Stacy R. Cotey, Amy K. Dunbar‐Wallis, Yaela N. Golumbic, Pankaj Mehrotra, David A. Beamer, Heather D. Vance‐Chalcraft

“…Abstract Climate change and biodiversity loss require us to engage the next generation of scientists in addressing global ecological issues. Introducing undergraduate students to citizen science allows them to learn scientific processes and content while contributing to real‐world applications. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…The model then utilizes DenseNet and Softmax for image reconstruction, improving feature maps and providing essential data for classification tasks on the FER2013 and CK þ datasets. …”
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Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images by Corneliu Florea, Laura Florea, Mihai Ivanovici

“…While Top-k loss was originally designed for classification tasks, ASL is specifically tailored for semantic segmentation. …”
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A DeBERTa-Based Semantic Conversion Model for Spatiotemporal Questions in Natural Language by Wenjuan Lu, Dongping Ming, Xi Mao, Jizhou Wang, Zhanjie Zhao, Yao Cheng

“…Then, based on the encoding results, it performs classification and semantic parsing of spatiotemporal questions to achieve question intent recognition and conversion to Cypher query language. …”
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Design Optimization of a Marine Propeller Shaft for Enhanced Fatigue Life: An Integrated Computational Approach by Víctor Tuninetti, Diego Martínez, Sunny Narayan, Brahim Menacer, Angelo Oñate

“…Analytical calculations based on classification society rules determined acceptable shaft diameter ranges, considering torsional shear stress limits for SAE 1030 steel. …”
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Prolonged length of stay for acute hospital admissions as the increasing of age: A nationwide population study for Taiwan's patients with cerebral palsy by Kuo-Liang Chiang, Chin-Yin Huang, Hueng-Chuen Fan, Fang-Chuan Kuo

“…The reasons specific to children included orthopedic issues; ear, nose, and throat problems; and urinary tract infections (UTIs). …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, high overall load rate, and large transient amplitude and phase errors. …”
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Early and Late Fusion for Multimodal Aggression Prediction in Dementia Patients: A Comparative Analysis by Ioannis Galanakis, Rigas Filippos Soldatos, Nikitas Karanikolas, Athanasios Voulodimos, Ioannis Voyiatzis, Maria Samarakou

“…Aggression in patients with dementia poses significant caregiving and clinical issues. In this work, fusion approaches—Early Fusion and Late Fusion—were compared to classify aggression using audio and visual signals. …”
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Evolution and Spatial-temporal Shift Characteristics of Soil Erosion in Yan'An City During 1990—2020 by Xie Mingyang, Jiao Chunmeng, Han Xiaoyu, Jiao Feng

“…Nevertheless, its application needs to be further investigated and improved due to issues such as accuracy and precision, as well as its ecological significance. …”
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FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data by Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi

“…These features are then processed by a Fully Connected Network (FCN) for final classification. This architecture enables the model to effectively represent hierarchical features and handle high-dimensional MRI data while mitigating issues such as overfitting and feature redundancy. …”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…Employing various classification algorithms, including Support Vector Machines (SVMs), Logistic Regression, and Random Forest, we compare their effectiveness on both original and feature-selected datasets. …”
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VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network by Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie

“…Traditional rehabilitation training for stroke patients with ankle joint issues typically relies on the expertise of physicians. …”
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Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review by Sibi Chakravathy Parivendan, Kashfia Sailunaz, Suresh Neethirajan

“…Moreover, we explicitly discuss ethical challenges and data governance issues, emphasizing data transparency and animal welfare concerns within precision livestock contexts. …”
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Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection by Hager Saleh, Sherif Mostafa, Alshimaa H. Ismail, Sumit Srivastava, Saeed Hamood Alsamhi

“…A resurgent zoonotic disease called monkeypox presents serious public health issues, especially in locations with low resources where prompt and correct diagnosis is essential. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. To address these issues, we propose DSF-YOLO, a novel framework specifically designed for pipeline weld defect detection. …”
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Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification by Jiale Zhang, Baohua Zhang, Dongyang Wu

“…It interacts with local unimodal features to reinforce mutual learning and constructs a relational knowledge graph for structural classification. To reduce the discrepancy in modality-shared discriminative features, the M-GC module leverages the similarity between cross-modality features to extract meta-positive and meta-negative samples. …”
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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

“…This study proposes a lightweight, hybrid deep learning architecture called federated LeViT-ResUNet that combines the spatial efficiency of LeViT transformers with ResUNet’s exact pixel-level segmentation to address these issues. The system uses multispectral drone footage and IoT sensor data to identify real-time insect hotspots, crop health, and yield prediction. …”
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Autobiographical Memory: A Scoping Meta-Review of Neuroimaging Data Enlightens the Inconsistencies Between Theory and Experimentation by Edoardo Donarelli, Cristina Civilotti, Giulia Di Fini, Gabriella Gandino, Alessia Celeghin

“…Neural data about EAM were analyzed via mean rank classification, finding the most relevant areas in the posterior cingulate cortex, hippocampus, precuneus, temporo-parietal junction, angular gyrus, and medial prefrontal cortex. …”
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