Evolution of the activities of states as reflected in legal and political Teachings by A. A. Klishin

Get full text

Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonan... by Shaik Basheera, M Satya Sai Ram

Get full text

Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems by Samir A. Hamad, Mohamed A. Ghalib, Amr Munshi, Majid Alotaibi, Mostafa A. Ebied

“…Additionally, the study assessed the correlation and feature importance to evaluate model compatibility and the factors impacting the predictive accuracy of the ML models. …”
Get full text

Artificial Intelligence-Powered Insights into Polyclonality and Tumor Evolution by Hong Zhao, Trey Ideker, Stephen T. C. Wong

“…Recent studies have revealed that polyclonality—where multiple distinct subclones cooperate during early tumor development—is a critical feature of tumor evolution, as demonstrated by Sadien et al. and Lu et al. in Nature (October 2024). …”
Get full text

Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

“…Purpose This study developed and evaluated a feature-based ensemble model integrating the synthetic minority oversampling technique (SMOTE) and random undersampling (RUS) methods with a random forest approach to address class imbalance in machine learning for early diabetes detection, aiming to improve predictive performance. …”
Get full text

Orbital Behavior Intention Recognition for Space Non-Cooperative Targets Under Multiple Constraints by Yuwen Chen, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

Get full text

Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis by Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Francis Ofoma Eze, Makuachukwu Bennedith Ejiyi, Jennifer Ene Idoko, Sarpong Kwadwo Asere, Thomas Ugochukwu Ejiyi

“…To overcome these challenges, we propose two augmentation-free neural network models, Double Conglomerate (D-CongNet) and Triple Conglomerate (T-CongNet), which integrate Polynomial feature transformations and SHAP (Shapley Additive Explanations) for feature analysis, ensuring both high predictive performance and robust interpretability. …”
Get full text

FEATURES AND PERSPECTIVES OF THE DEVELOPMENT OF ELECTRONIC COMMERCE by E. Bratischeva, I. Chepurova, A. Gladysheva

“…We can see that all new online stores, unique products and services offered by various users on the Internet open new opportunities, new approaches and new e-commerce solutions. We evaluate access to information technology and the network in the article. …”
Get full text

Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion by Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar

“…Additionally, a Gini-based feature selection method is implemented to prioritize the most discriminative features, and the extracted features from each network are optimally combined using a fusion technique modeled after a linear production function, maximizing each model’s contribution to the final prediction. …”
Get full text

Hybrid Integrated Feature Fusion of Handcrafted and Deep Features for Rice Blast Resistance Identification Using UAV Imagery by Peng Zhang, Zibin Zhou, Huasheng Huang, Yuanzhu Yang, Xiaochun Hu, Jiajun Zhuang, Yu Tang

“…To address these issues, this article proposes a hybrid integrated feature fusion (HIFF) method, in which a novel handcrafted-design-guided convolutional neural network module was employed to alleviate the problem of image degradation. …”
Get full text

Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models by Hilal Er Ulubaba, İpek Atik, Rukiye Çiftçi, Özgür Eken, Monira I. Aldhahi

Get full text

Leveraging In-Network Caching in Vehicular Network for Content Distribution by Haiyan Tian, Yusuke Otsuka, Masami Mohri, Yoshiaki Shiraishi, Masakatu Morii

“…In order to solve this issue to deliver proximity marketing files, in this paper we propose in-network caching scheme in vehicular networks in accordance with traffic features, in which every vehicle is treated as either a subscriber to request a file or as a cache node to supply other nodes so as to accelerate file transmission effectively. …”
Get full text

Efficient resource management using 5G multi-connectivity for high throughput and reliable low latency communication by Snigdhaswin Kar, Prabodh Mishra, Kuang-Ching Wang

“…In this work, we propose and evaluate 5G deployments with multi-connectivity, which can be used to ensure that these 5G networks are able to meet the demanding requirements of future services with efficient resource management.…”
Get full text

Factor Investment or Feature Selection Analysis? by Jifang Mai, Shaohua Zhang, Haiqing Zhao, Lijun Pan

“…Secondly, Deep Feedforward Neural Networks (DFN) exhibited exceptional performance in portfolio management, significantly outperforming other evaluated machine learning methods, and achieving high levels of out-of-sample performance and Sharpe ratios. …”
Get full text

Crash severity prediction using a virtual geometry-group-based deep learning approach with images-based feature representation by Nanon Sonnatthanon, Kasem Choocharukul

“…The model's performance is evaluated using two key indicators: the F1-score and the Area Under the Curve. …”
Get full text

Performance Evaluation of Various Deep Learning Models in Gait Recognition Using the CASIA-B Dataset by Nakib Aman, Md. Rabiul Islam, Md. Faysal Ahamed, Mominul Ahsan

Get full text

Classification of Brain Tumors by Using a Hybrid CNN-SVM Model by Talitha Safa Nabila, Abu Salam

Get full text

Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces by Md Ettashamul Haque, Atique Tajwar, Akm Azad, Salem A. Alyami, Md Mehedi Hasan

“…To address these limitations, this article presents ADANet — Advanced Disability Assistive Neural Network-driven framework for accelerometer-based gesture recognition, tailored for wearable assistive applications. …”
Get full text

Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data by Torben Dedring, Andreas Rienow

“…Based on several metrics, such as difference calculations, the spectral information divergence (SID), and the Fréchet inception distance (FID), we evaluate the resulting images. The models reach mean SIDs as low as 0.026 for urban fabrics and forests and FIDs below 90 for bands B2 and B5 showing that the CGAN is capable of synthesizing distinct synthetic features matching with features typical for respective LULC categories and manages to mimic multispectral signatures. …”
Get full text

A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks by Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, Basem Abd-Elhamed Rashad

Get full text