Federated Deep Learning for Scalable and Privacy-Preserving Distributed Denial-of-Service Attack Detection in Internet of Things Networks by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei, Riad Alharbey

“…ResNet improves feature extraction, VGGNet optimises feature refining, and Swin-Transformer captures contextual dependencies, making the model sensitive to complicated attack patterns across varied network circumstances. …”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…Then, a selective task fusion module was developed to optimize the allocation of shared feature space, effectively alleviating the negative transfer problem of multitask architecture. …”
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Integrated Energy System Load Forecasting Based on Multi-energy Demand Response and Improved BiLSTM by ZHANG Xiaojia, WANG Can, ZHANG Jiaheng, WANG Zhen, LI Zhiwei, ZHANG Zhaoyang, GAN Youchun

“…First， by integrating user demand response behavior， the input feature variables of the multi-energy demand response is constructed， and together with multiload forecasting， strong correlation features selected by the maximum information coefficient form the input feature set of the prediction model. …”
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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model. by Li Wang, Yu Zhang, Feng Li, Caiyun Li, Hongzeng Xu

“…Firstly, oversampling technique was used to alleviate the class imbalance problem. Secondly, the feature selection method of Recursive Feature Elimination (RFE) was selected for effective feature selection. …”
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CLTNet: A Hybrid Deep Learning Model for Motor Imagery Classification by He Gu, Tingwei Chen, Xiao Ma, Mengyuan Zhang, Yan Sun, Jian Zhao

“…Methods: To address this challenge, this study proposes a novel hybrid deep learning model, CLTNet, which focuses on solving the feature extraction problem to improve the classification of MI-EEG signals. …”
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Fault Diagnosis of Semi-Supervised Electromechanical Transmission Systems Under Imbalanced Unlabeled Sample Class Information Screening by Chaoge Wang, Pengpeng Jia, Xinyu Tian, Xiaojing Tang, Xiong Hu, Hongkun Li

“…This mechanism discriminates based on the variability of intrinsic feature information in fault samples, accurately screening out unlabeled samples located near decision boundaries that are difficult to separate clearly. …”
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Static Voltage Stability Evaluation and Correction Strategy Based on Stage Solving Strategy and SIFT by Yan Wen, Xiaoming Liu, Yongzhi Zhou, Huiwen Zhang, Donglei Sun

“…Aiming at the static voltage instability problem of the power grid caused by large-scale access of renewable energy sources, the study adopts the scale invariant feature transform algorithm for boundary feature extraction, while optimizing the traditional generalized resilience index of the power grid. …”
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Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV by Dilna Vijayan, Mohamed Saad, Ahmed M. Khedr

“…The complexity entailed in tackling this problem, specifically concerning the prediction of rear-end crashes, demands the application of cutting-edge methodologies. …”
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Deep Learning Spinal Cord Segmentation Based on B0 Reference for Diffusion Tensor Imaging Analysis in Cervical Spondylotic Myelopathy by Shuoheng Yang, Ningbo Fei, Junpeng Li, Guangsheng Li, Yong Hu

“…The model applies a classical U-shaped architecture with a lightweight feature extraction module, which can effectively alleviate the training data scarcity problem. …”
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Sortion of Cytokines and Immunoglobulins in vitro with a New Carbon Hemosorbent: a Poster Study by V. A. Likholobov, T. I. Dolgikh, V. V. Moroz, L. G. Pyanova, V. T. Dolgikh, B. A. Reis, L. S. Luzyanina, F. I. Razgonov, T. F. Sokolova, A. V. Glushchenko, A. V. Veselovskaya

“…Objective: to study the specific features of sorption of some protein molecules (cytokines, immunoglobulins) in vitro, by using the carbon hemosorbent designed at the Institute of Hydrocarbon Process Problems, Siberian Branch, Russian Academy of Sciences.Materials and methods. 42 plasma samples from 14 patients with peritonitis were examined before and after hemosorption. …”
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The practice of applying the norms on responsibility for sexual crimes (Articles 131-135 of the Criminal Code of the Russian Federation) and ways to improve it by A. A. Bimbinov

“…The solution to these problems should be found through legislative changes. …”
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Speech activity circadian rhythm disturbance in children and adolescents with hypertension by V.M. Polyakov, L.V. Rychkova, N.A. Myasishchev, Zh.V. Prokhorova, I.A. Cherevikova, S.I. Kolesnikov

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“We’ll Fix It in Post”: On the Challenges of Translating Film Art by Elizaveta A. Orlova

“…The range of problems faced by the book translator was also relevant for the translation of the interview.…”
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Kogai in the 21st century: Environmental issues in Japan by A. I. Bancheva

“…The article also features the achievements on the way towards solving the stated problems and instruments of environmental policy (an established monitoring system, open data access, active participation in international environmental policies, active engagement of local government, and responsibility of businesses). …”
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Influence of f-d exchange interaction on the properties of nanoscale structures based on Fe, Co, Ni metals and rem oxides. A review by A. M. Kasumov, A. I. Dmitriev, K. A. Korotko, V. M. Karavaeva, K. O. Vyshnevska, A. I. Ievtushenko

“…The technology for the creation and structural features of these nanostructures are also considered. …”
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Analyzing the Development of Scientific Research in the Field of Digital Transformations by Bondarenko Dmytro V., Khaustov Mykyta M., Kalashnikova Kateryna Yu.

“…In accordance with the aim of the article, the study considers the features of bibliometric analysis as a research method that allows conducting a thorough comprehensive review of all the most influential publications in a particular subject area. …”
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Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes by Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui

“…We have compared the outcomes of classical machine learning and deep learning approaches with the employed feature representation methods and feature selection methods. …”
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A Two-Stage Deep Learning Method for Auxiliary Diagnosis of Upper Limb Fractures Based on ResNet-50 and Enhanced YOLO by Hongxiao Wang, Zhe Li, Dingsen Zhang

“…In the second stage, an improved You Only Look Once (YOLO) model based on Scale Sequence Feature Fusion (SSFF) and Triple Feature Encoder (TFE) modules is used for fracture diagnoses in different body parts. …”
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Deep encoder-decoder networks for belt longitudinal tear detection by Lei You, Minghua Luo, Xinglin Zhu, Bin Zhou

“…An improved encoder-decoder network was proposed to solve the longitudinal tear detection problem. This method utilizes a line structured light system for image acquisition. …”
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An Adaptive Evolutionary Causal Dynamic Factor Model by Qian Wei, Heng-Guo Zhang

“…The real-time monitoring of macroeconomics has become an important research problem faced by banks, governments, and corporations. …”
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