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

“…Using the FL framework, decentralised training protects data privacy and scales and adapts across diverse IoT contexts. …”
Get full text

Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…Generally, spatial self-correlation and spatial heterogeneity phenomena affect housing price data. Additionally, time is a crucial factor in housing price modeling, as it helps understand market trends and fluctuations. …”
Get full text

AUTOMATED TECHNOLOGY OF MEASUREMENT OF PHYSIOLOGICAL PARAMETERS OF FARM ANIMALS by Victor Shigimaga, Natalia Kosulina, Mariya Chorna, Vitaly Sukhin, Stanislav Kosulin, Kostiantyn Korshunov, Yaroslav Yevsyukov

“…Equipped with video cameras and data relays, UAVs collect video footage that is transmitted to a central processing unit for real-time analysis and storage. …”
Get full text

Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study. by Darren M Lipnicki, John D Crawford, Rajib Dutta, Anbupalam Thalamuthu, Nicole A Kochan, Gavin Andrews, M Fernanda Lima-Costa, Erico Castro-Costa, Carol Brayne, Fiona E Matthews, Blossom C M Stephan, Richard B Lipton, Mindy J Katz, Karen Ritchie, Jacqueline Scali, Marie-Laure Ancelin, Nikolaos Scarmeas, Mary Yannakoulia, Efthimios Dardiotis, Linda C W Lam, Candy H Y Wong, Ada W T Fung, Antonio Guaita, Roberta Vaccaro, Annalisa Davin, Ki Woong Kim, Ji Won Han, Tae Hui Kim, Kaarin J Anstey, Nicolas Cherbuin, Peter Butterworth, Marcia Scazufca, Shuzo Kumagai, Sanmei Chen, Kenji Narazaki, Tze Pin Ng, Qi Gao, Simone Reppermund, Henry Brodaty, Antonio Lobo, Raúl Lopez-Anton, Javier Santabárbara, Perminder S Sachdev, Cohort Studies of Memory in an International Consortium (COSMIC)

“…Performance on all cognitive measures declined with age, with the most rapid rate of change pooled across cohorts a moderate -0.26 standard deviations per decade (SD/decade) (95% confidence interval [CI] [-0.35, -0.16], p < 0.001) for processing speed. …”
Get full text

Securing fog computing in healthcare with a zero-trust approach and blockchain by Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith

“…Abstract As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. …”
Get full text

Transmantle pressure under the influence of free breathing: non-invasive quantification of the aqueduct pressure gradient in healthy adults by Pan Liu, Kimi Owashi, Heimiri Monnier, Serge Metanbou, Cyrille Capel, Olivier Balédent

“…RT-PC data were then processed to quantify peak flow rates driven by cardiac and free breathing activity (Qc and Qb) in both directions. …”
Get full text

Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform by Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou

“…Via photonic analog parallelism, data rate and data volume in each sequence are simultaneously compressed, which mitigates the requirement on each parallel computing core. …”
Get full text

Analyse diachronique de l’etalement urbain dans le grand-lome au togo, une approche basee sur la teledetection multispectrale by Melone Like SORSY, Follygan HETCHELI

“…Sphinx 4.5 software was used for data collection and statistical processing. The entry was made in MS Word 2019. …”
Get full text

Intelligent Model for Brain Tumor Identification Using Deep Learning by Abdul Hannan Khan, Sagheer Abbas, Muhammad Adnan Khan, Umer Farooq, Wasim Ahmad Khan, Shahan Yamin Siddiqui, Aiesha Ahmad

“…The suggested model achieves 92.13% precision and a miss rate of 7.87%, being superior to earlier methods for detecting and segmentation brain tumors. …”
Get full text

Study on the Mechanical Properties of Q235 Steel Roof Trusses in Industrial Atmospheric Corrosive Environment by WANG Fenglu, HAN Tengfei, LI Yonglu, QU Yunong, ZHAO Liyong

“…In order to investigate the impact of corrosion on the mechanical performance of steel roof truss membersin an industrial atmospheric environment, appropriate strength degradation models and indices were selected to characterize the deterioration of steel material properties.Thirty Q235B corroded steel specimens were sampled on-site from a steel slag processing plant’s roof truss system.After processing, uniaxial tensile tests were conducted on the specimens.The mechanical performance degradation model of corroded steel was theoretically analyzed based on the residual load-bearing capacity assumption, and the significance of various strength degradation models was qualitatively evaluated.An equivalent strength degradation model and a comprehensive corrosion damage parameter were chosen to represent the strength degradation caused by corrosion.Finally,based on the tensile test data,the relationship between steel strength degradation and the comprehensive corrosion damage parameter was quantitatively analyzed.Results showed that equivalent yield strength and equivalent tensile strength decreased with increasing comprehensive corrosion damage parameters, with degradation rates of 0.89 and 1.21, respectively, suggesting that as corrosion progressed, the ratio of yield to tensile strength increased, rendering the steel more susceptible to brittle failure.Additionally, the elongation diminished with increasing corrosion damage, with a degradation rate of 1.29.…”
Get full text

Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm by HUANG Jinliang, ZHOU Jin, YU Wei

“…Built a database to store relevant data and participated in the optimization of the processing parameters of the unit. …”
Get full text

Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…Many deep learning techniques are utilized for arrhythmia classification in current research but only based on ECG data, lacking the mathematical foundations of cardiac electrophysiology. …”
Get full text

Improved tooth flank region segmentation method of interference image by U-net neural network by YANG Pengcheng, ZHANG Jinjing, LI Xiaocheng, MENG Jie, KANG Leqian

“…Therefore, tooth region segmentation plays an important role in interference image processing, which can effectively improve the measurement accuracy. …”
Get full text

Aggregated Recommendation through Random Forests by Heng-Ru Zhang, Fan Min, Xu He

“…We also model the data conversion process corresponding to the new user, new item, and both new problems. …”
Get full text

Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store by Putri Ratna Sari, Dwi Rosa Indah, Errissya Rasywir, Mgs Afriyan firdaus, Ghita Athalina

“…Following this, a labeling process was conducted based on the rating, data were preprocessed, TF-IDF weighting was applied, and both algorithms were implemented. …”
Get full text

Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Objective:</b> In order to solve the problem of limited field of view associated with computer detection of the corn ear shape index against a complex background, this paper proposes a panoramic splicing method for corn ears against a complex background, which can splice 10 corn ear panoramic images at the same time, to improve information collection efficiency, display comprehensive information, and support data analysis, so as to realize automatic corn seed examination. …”
Get full text

STUDY ON THE AGRICULTURAL PRODUCTION EVOLUTION IN CĂLĂRAȘI COUNTY, ROMANIA by Oana Roberta CREȚU, Valentina Constanța TUDOR, Cecilia NEAGU

“…Based on these considerations and predicting that in 2021, the population need for agri-food products consumption will increase, as a result of the repatriation of approximately two million Romanian citizens, who worked in the European Union countries due to the crisis generated by Covid-19, we initiated the present study on the agricultural production evolution in Călărași county, in comparison to South Muntenia Region, of which it is part and with the production at national level. For the data processing and interpretation, the method of statistical indicators was used, respectively, the comparative analysis of the researched phenomena. …”
Get full text

Capturing thin-film microstructure contributions during ultrafast laser-metal interactions using atomistic simulations by Hariprasath Ganesan, Stefan Sandfeld

Get full text

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication by Vendi Ardianto Nugroho, Byung Moo Lee

“…Millimeter-wave (mmWave) communication enables high data rates for cellular-connected Uncrewed Aerial Vehicles (UAVs). …”
Get full text

Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product by Yizhuo Zhang, Fengwei Zhang, Jinxiang Cheng, Huan Zhao

“…New opportunities in addition to challenges can be created according to this change for helping data processing in the smart fish farm. This study focuses on deep learning applications and how to support different activities in aquatic like identification of the fish, species classification, feeding decision, behavior analysis, estimation size, and prediction of water quality. …”
Get full text