Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…By examining the timing between packets and other statistical features, we detected patterns of malicious activity, allowing early and effective DoS threat mitigation. …”
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Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei

“…LightGBM achieved the highest predictive performance (R² = 0.504), followed by Random Forest (R² = 0.497), while Linear Regression underperformed (R² = 0.386), highlighting the advantages of non-linear models in modeling intricate customer patterns. Residual analyses confirmed LightGBM's stability and low bias across diverse customer profiles. …”
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High-intensity zones in dogs with lumbosacral intervertebral disc degeneration: insights from MRI and histopathological findings by S. Amir Kamali, Michelle Teunissen, Dirk Hendrik Nicolaas van den Broek, Elisabeth M. Burgers, Guy C. M. Grinwis, Keita Ito, Marianna A. Tryfonidou, Björn P. Meij

“…Histopathological analysis of 11 dorsal AF samples collected during standard-of-care decompressive surgery revealed two patterns: reactive cystic structures (3/11) and granulation tissue (8/11), with differential MRI presentation. …”
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Perforated imprinting on high moisture meat analogue confers long range mechanical anisotropy resembling meat cuts by Xuanming Lou, Jiahao Wang, Leng Gek Kwang, Hanzhang Zhou, Francesca Yi Teng Ong, Shengyong Ng, Hanry Yu

“…By imprinting 1 mm thick HMMA sheets with perforated patterns (optimized by AI), we observed up to 5 × more anisotropic separation of fibrous structures in a one-dimensional pulling LMA analysis, to match the fibrousness of the cooked chicken breast, duck breast, pork loin and beef loin. …”
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Reusable Respiratory and Skin Protective Devices Will Help Russian NBC Protection Troops to Avoid Pathogenic Biological Agents by Valerii V. Vasilyev, Sergei N. Solovykh, Nikita V. Danyakin., Pavel V. Gorbachev

“…Considering all that the enterprises started a large-scale production of efficient respiratory and skin protective devices for medical staff in Kostroma and other regions of the Russian Federation. Design features of garment with respiratory and skin protective devices have served as a pattern for a promising protective set for Russian NBC Protection Troops that will help them to avoid pathogenic biological agents.…”
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Clinical manifestations, histopathological changes and quality of life in patients with advanced knee osteoarthritis caused by age, trauma, obesity and their combination by Kristina V. Korochina, Tatyana V. Chernysheva, Irina E. Korochina

“…The methodological basis for differential approach to treating different categories of OA patients was developed.…”
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Locomotion Joint Angle and Moment Estimation With Soft Wearable Sensors for Personalized Exosuit Control by Luying Feng, Lianghong Gui, Wenzhu Xu, Xiang Wang, Canjun Yang, Yaochu Jin, Wei Yang

“…To improve the model’s accuracy and generalization, gait data from eight participants with varying walking patterns were collected. Calibrated data were used as static features and trained alongside dynamic features. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…Abstract Model optimization is a problem of great concern and challenge for developing an image classification model. In image classification, selecting the appropriate hyperparameters can substantially boost the model’s ability to learn intricate patterns and features from complex image data. …”
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Bonded Discrete Element Simulations of Sea Ice With Non‐Local Failure: Applications to Nares Strait by Brendan West, Devin O’Connor, Matthew Parno, Max Krackow, Christopher Polashenski

“…The results indicate that the bonded DEM model is capable of qualitatively capturing the dynamic sea ice patterns through constrictions such as ice bridges, arch kinematic features, and lead formation. …”
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Extreme high temperatures and heatwave events across Europe in 2023 by Yuqing Sun, Gensuo Jia, Xiyan Xu

“…However, there is a lack of quantitative analysis of spatial and temporal features of such record high heatwaves. Here, we investigated the spatial patterns and seasonal evolution of heatwaves over Europe in 2023. …”
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Spatial networks reveal how forest cover decreases the spread of agricultural pests by Débora C. Rother, Leandro G. Cosmo, Julia Tavella, Fredric M. Windsor, Mariano Devoto, Darren M. Evans, Paulo R. Guimarães Jr.

“…A next step in understanding the role of habitat heterogeneity in affecting pest spread is to understand how landscape features directly and indirectly affect spatial infestation patterns. …”
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Management and utilization of the Fund for Innovative Medicines: a multistakeholder qualitative survey on regional and local practices by Andrea Vitagliano, Marzia Bonfanti, Chiara Lucchetti, Andrea Marcellusi

“…A survey administered through interviews to 18 KOLs (clinicians, hospital pharmacists, top hospital managers, and regional pharmaceutical service directors) from 9 Italian regions provided evidence of FFI utilization patterns. The content analysis identified FFI management features, challenges, and best practices. …”
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Multimodal Deep Learning in Early Autism Detection—Recent Advances and Challenges by Sheril Sophia Dcouto, Jawahar Pradeepkandhasamy

“…Deep learning models, with their ability to analyze complex patterns and extract meaningful features from large datasets, offer great promise in addressing the challenge of early ASD detection. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…Our approach introduces a multi-scale texture representation based on local binary patterns (LBP) as the model input, replacing the grained-scanning mechanism (GSM) used in the traditional deep forest model. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…By extracting persistent homology features from these networks, we developed a support vector machine (SVM)-based classifier that distinguishes control subjects from those experiencing varying degrees of NP. …”
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Molecular and Clinical Overview of Type 1 Neurofibromatosis: Single Center Study and Mini Review on NF1-Associated Vasculopathy and Juvenile Myelomonocytic Leukemia by Şule Altıner, Alper Han Çebi

“…Molecular diagnosis is important in patients with an atypical presentation, as well as in children who have not yet developed sufficient characteristic features or for providing prenatal diagnosis. …”
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REVIEW OF: GOLUBKOVA O.N. FUNDAMENTALS OF SCIENTIFIC RESEARCH IN THE PROFESSIONAL FIELD: TEXTBOOK by A.A. Bilyalova, A.N. Utekhina

“…Patterns in the use of methodological concepts based on their functions in a study are highlighted. …”
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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

“…Focusing on Dublin, we integrate diverse geospatial datasets with building-specific and neighbourhood-scale features to classify BER. Our approach leverages cutting-edge ML techniques, including Decision Trees (DT), Random Forest (RF), K-Nearest Neighbours (KNN), and Support Vector Machines (SVM), to develop highly accurate predictive models. …”
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The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms by Pankaj Kumar Sahu, Karan Jain

“…Deep learning methods and patterns found in EEG of brain activity are helpful features for verifying schizophrenia. …”
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Analysis of consumer purchase intentions using functional near-infrared spectroscopy(fNIRS): A neuromarketing study on the aesthetic packaging of Korean red ginseng products. by SuJin Bak, Jaeyoung Shin, Daeun Kim, Sungkean Kim

“…By measuring brain activities, we aim to develop neuromarketing techniques and provide insights into consumer purchasing decisions influenced by the aesthetic features of product packaging.…”
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