Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Abstract With IoT networks expected to exceed 29 billion connected devices by 2030, the risk of cyberattacks has never been higher. …”
Get full text

A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study by Kelly Voigt, Yingtao Sun, Ayush Patandin, Johanna Hendriks, Richard Hendrik Goossens, Cornelis Verhoef, Olga Husson, Dirk Grünhagen, Jiwon Jung

“…MethodsForum posts of patients with colorectal cancer (CRC) from the Cancer Survivors Network USA were used as the data source. Topic modeling, as a part of machine learning, was used to recognize the topic patterns in the posts. …”
Get full text

Comparative Analysis of Neurogenesis and Cerebral Angiogenesis in the Hippocampal Neurogenic Niche in Animals with Two Experimental Models of Alzheimer’s Disease by Anton S. Averchuk, Maria V. Kukla, Natalia A. Rozanova, Alla V. Stavrovskaya, Alla B. Salmina

“…Cognitive functions were evaluated using a passive avoidance test. On days 7 and 28 post-training, we assessed vascular network branching and density in the hippocampus using Evans Blue with subsequent software-based analysis of skeletonized images, analyzed proliferative activity of neuronal and endothelial cells, and their subpopulation composition using BrdU assay and multiparameter immunostaining of brain thin sections. …”
Get full text

Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma by Can Xu, Jin Yang, Huan Xiong, Xiaoteng Cui, Yuhao Zhang, Mingjun Gao, Lei He, Qiuyue Fang, Changxi Han, Wei Liu, Yangyang Wang, Jin Zhang, Ying Yuan, Zhaomu Zeng, Ruxiang Xu

“…CIBERSORT, TIMER, MCPCOUNTER, and XCELL algorithms were used to analyze immune cell infiltration patterns. The TIDE algorithm was used to examine immunotherapy scores. …”
Get full text

Re-composing Physical Form with Energy-Based Resilience Approach to Improve Thermal Comfort (Case Study: Sadra New Town) by Sahar Akbari, Mahsa Sholeh, Sahand Lotfi

“…In the first step, energy resilience criteria based on global energy resilience rating systems and theoretical research conducted, including smart location, resources and energy, transportation and use, neighborhood form and development pattern, and placemaking, were identified as five layers. …”
Get full text

Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…Additionally, the generated model trained on patterns derived from synthetic data, achieved <inline-formula> <tex-math notation="LaTeX">$\approx 99.99$ </tex-math></inline-formula>% accuracy when evaluated on a real-world dataset across varying sentence structures, demonstrating strong generalizability in detecting sensitive information regardless of the data source. …”
Get full text

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid by Syed Muhammad Hasanat, Muhammad Haris, Kaleem Ullah, Syed Zarak Shah, Usama Abid, Zahid Ullah

“…The proposed model leverages Convolution Neural Networks (CNNs) to extract spatial patterns, LSTMs to capture temporal dependencies, and attention mechanisms to prioritize important information, enhancing predictive performance. …”
Get full text

Unlocking the promise of virtual care in hospitals: the Smarter Hospitals Project protocol by Reema Harrison, Rebecca Mitchell, Ramya Walsan, Maryam Sina, Robyn Clay-Williams, Alexander Cardenas, Michelle Moscova, Dalal Baumgartner, Mashreka Sarwar, Johanna Westbrook, Elizabeth Manias, Natalie Taylor, Rebecca Lawton, Sabe Sabesan, Virginia Mumford, Tim Badgery-Parker, Deepak Bhonagiri, Craig Nelson, Wei Chua, Bradley Christian, Kate Churruca, Jeffrey Braithwaite

“…Firstly, linked hospitalisation data will be used to produce fundamental new knowledge of patterns of virtual outpatient care use and the associated health service outcomes, including for priority populations. …”
Get full text

Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…Since the outbreak of COVID-19, there has been an influx of research on predictive modelling, with artificial intelligence (AI) techniques, particularly machine learning (ML) methods, becoming the dominant research direction due to their superior capability in processing multidimensional datasets and capturing complex nonlinear transmission patterns. We systematically reviewed COVID-19 ML prediction models developed under the background of the epidemic using the PRISMA method. …”
Get full text

Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…In contrast, the LSSVM model had RMSE values of 2.82 mm and 3.52 mm, with MAE values of 2.45 mm and 3.13 mm. The BP neural network had RMSE values of 3.06 mm and 3.53 mm, with MAE values of 2.89 mm and 3.24 mm. …”
Get full text

Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. …”
Get full text

Earth Observation Data to Support Environmental Justice: Linking Non‐Permitted Poultry Operations to Social Vulnerability Indices by Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White‐Williamson, Shea Tuberty

Get full text

Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

Get full text

Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective co... by Peter Szatmari, Mark S Tremblay, Peter Jüni, Christopher Allen, Julia Thompson, Kevin Thorpe, Douglas Campbell, Andreas Laupacis, Elise Mok, Catherine S Birken, Jessica A Omand, Kim M Nurse, Cornelia M Borkhoff, Jonathon L Maguire, Muhammad Mamdani, Patricia C Parkin, Janis Randall Simpson, Eric Duku, Caroline Reid-Westoby, Magdalena Janus, Catherine S. Birken, Jonathon L. Maguire, Ronald Cohn, Cornelia M. Borkhoff, Charles Keown-Stoneman, Christine Kowal, Dalah Mason, Jillian Baker, Denis Leduc, Patricia Li, Navindra Persaud, Susan Shepherd, Carolyn Taylor, Farnaz Bazeghi, Imaan Bayoumi, Sarah Carsley, Patricia Raso, Amanda Offord

Get full text

Global Research Trends in Biomimetic Lattice Structures for Energy Absorption and Deformation: A Bibliometric Analysis (2020–2025) by Sunny Narayan, Brahim Menacer, Muhammad Usman Kaisan, Joseph Samuel, Moaz Al-Lehaibi, Faisal O. Mahroogi, Víctor Tuninetti

“…This study presents a comprehensive bibliometric analysis of global research on biomimetic lattice structures published between 2020 and 2025, aiming to identify thematic trends, collaboration patterns, and underexplored areas. A curated dataset of 3685 publications was extracted from databases like PubMed, Dimensions, Scopus, IEEE, Google Scholar, and Science Direct and merged together. …”
Get full text

High Throughput 512Mbps True Random Number Generation Using Uncertainty in Mobile Communication Bands by Farid Alidoust Aghdam, Mohammad Erfanimehr, Hodjat Ahmadi, Armin Zarghami, Seyed Ahmad Madani, Ali Rostami

“…We have evaluated this through numerical calculations and antenna pattern measurements in the laboratory, and the results and their comparison show a promising performance. …”
Get full text

Identification of diagnostic genes for myocardial ischemia reperfusion injury associated with metabolic syndrome through the integration of bioinformatics analysis, molecular docki... by Shufang Liu, Shufang Liu, Yan Zhang, Yan Zhang, Yanan Zhao, Ping Wu, Ping Wu, Shouyuan Tian, Han-Qing Pang, Han-Qing Pang, Zhifang Wu, Zhifang Wu, Sijin Li, Sijin Li

“…Drug candidates were predicted via PPI networks, CTD, and molecular docking, followed by experimental evaluation of dexamethasone.ResultsFive hub genes—DAK, GTF3C5, KCNMB1, TRAF1, and ZNF692—were identified, with distinct expression patterns (DAK/GTF3C5 downregulated; KCNMB1/TRAF1/ZNF692 upregulated). …”
Get full text

Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
Get full text

Multimodal integration of homotopic connectivity and transcriptomic signatures in major depressive disorder with sleep disorder comorbidity by Mingyu Li, Yudan Ding, Yangpan Ou, Huabing Li, Feng Liu, Dongsheng Lv, Ping Li, Bing Lang, Wenbin Guo

“…This study aimed to identify distinct VMHC patterns in MDD patients with SD and without SD and investigate their genetic correlates. …”
Get full text

Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China by Hejie Wei, Qing Han, Yu Ma, Wenfeng Ji, Weiguo Fan, Mengxue Liu, Junchang Huang, Ling Li

Get full text