Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images by Jialin Shi, Ruolin Zhang, Zongyao Yang, Zhixian Chen, Zhixin Hao, Li Huo, Ji Wu, Qiang Sun, Yali Xu

“…We aim to develop a unified framework for detecting multiple densely bone metastases based on low-resolution WBS images. We propose a novel unified detection framework to detect multiple bone metastases based on WBS images. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

Get full text

The intelligent fault identification method based on multi-source information fusion and deep learning by Dashu Guo, Xiaoshuang Yang, Peng Peng, Lei Zhu, Handong He

“…By analyzing and processing RSI, digital elevation model, and geological map data, the spectral, topographic, geomorphic, and structural features of faults are extracted. By training samples and applying fusion algorithms, the spectral, topographic, geomorphic, and structural features are integrated to enhance the morphological features information of faults. …”
Get full text

Advanced Feature Extraction for Cervical Cancer Image Classification: Integrating Neural Feature Extraction and AutoInt Models by Muhammad Amjad Raza, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Kainat Zafar, Afia Zafar, Sandra Dudley, Muhammad Iqbal

“…Utilizing a publicly available cervical cancer image dataset, the research introduces a novel classification framework that integrates a Neural Feature Extractor (NFE) based on a pre-trained VGG16 architecture and an AutoInt model for automatic feature interaction learning. …”
Get full text

Shearography-Based Near-Surface Defect Detection in Composite Materials: A Spatiotemporal Object Detection Neural Network Trained Only with Simulated Data by Guanlin Li, Yao Hu, Hao Wang, Qun Hao, Yu Zhang

Get full text

Co-Designed Mobile-Based Cognitive Training for Older Chinese Americans: Protocol for a Pilot Randomized Controlled Trial Assessing Feasibility and Acceptability by Tingzhong Xue, Aybey Amy Wei, Bei Wu, Camilla Sanders, Eleanor Schildwachter McConnell, Hanzhang Xu

“…MethodsWe applied an experience-based co-design approach that leverages existing cognitive training features and older Chinese Americans’ prior knowledge, lived experiences, and social norms around dementia to co-develop a cognitive training intervention. …”
Get full text

Day-Ahead Electricity Price Prediction and Error Correction Method Based on Feature Construction–Singular Spectrum Analysis–Long Short-Term Memory by Yuzhe Jiang, Weiqing Sun

“…In order to further improve prediction accuracy, this paper constructs new feature based on publicly available market data, and uses feature filtering to find the feature data with the highest correlation with electricity prices in publicly available market data as input features. …”
Get full text

An emotional classification method of Chinese short comment text based on ELECTRA by Shunxiang Zhang, Hongbin Yu, Guangli Zhu

“…In response to such problem, the text proposes a new method based on ELECTRA and hybrid neural network. This method can more accurately capture the emotional features of the text, improve the classification effect, enhance the evaluation feedback mechanism, and facilitate user decision-making. …”
Get full text

FEATURES OF ADULT EDUCATION CENTERS IN ENGLAND by Anastasiia Fedchyshyna

A novel feature selection algorithm using decomposition based multi-objective guided honey badger algorithm (MO-GHBA) and NSGA-III by Anusha Papasani, Nagaraju Devarakonda

“…In solving two or more objective problems, multi-objective evolutionary algorithms (MOEAs) have proven their effective performance. In most of the MOEAs based feature selection algorithms, more optimal solutions are obtained around the Pareto front's center because of the deficiency in selection features. …”
Get full text

Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…Feature importance assessment revealed ash content as the most important predictor of HHV based on GI-value of 0.519668 (about 50% cumulative importance). …”
Get full text

Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…The novelty of the proposed model lies on its hybrid training approach, which combines least squares with AdaBound, a gradient-based algorithm derived from the deep learning literature. …”
Get full text

TCCFNet: a semantic segmentation method for mangrove remote sensing images based on two-channel cross-fusion networks by Lixiang Fu, Yaoru Wang, Shulei Wu, Jiasen Zhuang, Zhongqiang Wu, Jian Wu, Huandong Chen, Yukai Chen

“…Deep learning techniques, particularly those based on CNNs and Transformers, have demonstrated significant progress in remote sensing image analysis. …”
Get full text

Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…Furthermore, the machine learning-based predictive model demonstrates strong clinical potential and merits further validation in prospective trials to assess its utility and therapeutic implications in real-world settings.…”
Get full text

Gait data generation using generative adversarial network based on human dynamics by Ryoya OBA, Yusuke OSAWA, Keiichi WATANUKI, Kazunori KAEDE

“…To address this, in our previous research, we used a MC-DCNN to classify gait based on ideal and non-ideal features. Activation maximization was applied to generate target gaits; however, the method did not account for human walking dynamics, thereby sometimes resulting in unnatural gait patterns. …”
Get full text

Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

“…The DDoS-SDN dataset was used for training and evaluation, with feature selection via Backward Elimination (BE) and hyperparameter tuning using Grid Search with 5-fold Cross-Validation (CV = 5). …”
Get full text

Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

“…Furthermore, the contribution of each feature is analyzed based on the model’s interpretability, and the model is optimized by utilizing high-contribution features. …”
Get full text

Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…In the AE-BMD phase, the base model is developed and trained on the SEED-IV dataset (15 participants, 62 EEG channels), achieving an accuracy of 84%, with an average precision of 84.75%, recall of 84% and F1-score of 84%. …”
Get full text

Tax planning: organization features at enterprise by Grabchuk I.L., Laichuk S.M.

Get full text

Predicting Cervical Lymph Node Metastasis Using Preoperative Multiparameter Data Based on Imaging, Serology, and Clinical Features in Unifocal Papillary Thyroid Carcinoma by Junlin HE, Wenjing CHEN, Lili HU, Yongsheng WANG, Jing CHEN, Ming WU

Get full text