GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence by Mohd Anjum, Ashit Kumar Dutta, Ali Elrashidi, Sana Shahab, Asma Aldrees, Zaffar Ahmed Shaikh, Abeer Aljohani

“…To address these limitations, this research proposes GraphFedAI, a novel framework that integrates adaptive session-based graph modeling, Pearson correlation-guided feature selection, interpolation-aware graph neural network (GNN) training, and federated learning to enable robust, scalable, and privacy-preserving DDoS detection in heterogeneous Internet of Things (IoT) networks.The framework represents the IoT network as dynamic graphs where communication patterns among devices are modeled as edges that evolve over time. …”
Get full text

Experimental and discrete element method study on the mechanical properties of hole-fracture sandstone by Peijie Lou, Peijie Lou, Peijie Lou, Peijie Lou, Lichen Sun, Cheng Pan, Penghui Ji, Huan Liu

Get full text

Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…Our IFM successfully replicates diverse electric pulse patterns, making it highly suitable for neuromorphic computing. …”
Get full text

Different levels of policy change: A comparison between the public discussion on social security in Sweden and in Finland by Christian Kroll, Helena Blomberg

“…The share of suggestions implying de facto a (further) departure from the basic features of the social security system also showed that the model was under continuous pressure throughout the 90s. …”
Get full text

Comprehensive transcriptomic profiling reveals molecular characteristics and biomarkers associated with risk stratification in papillary thyroid carcinoma by Congcong Yan, Chen Zheng, Jiaxing Luo, Xue Wu, Xinyu Meng, Chaoyue Lv, Shurong Shen, Meng Zhou, Ouchen Wang

“…Comparative transcriptional profiling analysis revealed two functionally distinct patterns of gene dysregulation between the risk subtypes. …”
Get full text

Exploring the Complexity of Pan-Cancer: Gene Convergences and in silico Analyses by Teodoro L, Carreira ACO, Sogayar MC

“…These approaches help identify shared therapeutic targets across various tumor types, enabling the development of broader and potentially more widely applicable treatment strategies. …”
Get full text

Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks by Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

“…In this work, we introduce Kinetic Age (KA), a novel data-driven metric that quantifies neurodevelopmental maturity by predicting an infant’s age based on their movement patterns. KA offers an interpretable and generalizable proxy for motor development. …”
Get full text

Experimental studies on oscillation modes of vibration separation devices by Demianenko M., Volf M., Pavlenko I., Liaposhchenko O.

“…In turn, physical experiments aim to identify patterns and features of processes occurring during vibration-inertial separation (i.e., the dependence of various parameters on velocity). …”
Get full text

Comparative transcriptome analysis of PBMCs in cats diagnosed with and recovered from FIPV by Ju Young Lee, Hyeong Ryeol Cho, Hong-Geun Oh, Jeong Ho Hwang

Get full text

Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

Get full text

Stem gravitropism and tension wood formation in three tropical woody species with different wood densities by Widyanto Dwi Nugroho, Gita Dwi Anjayani, Arisandy Fernando Tampubolon, Adhitya Wisnu Pradhana, Hairi Cipta, Novena Puteri Tiyasa, Yusuke Yamagishi, Kayo Kudo, Md Hasnat Rahman, Satoshi Nakaba, Ryo Funada

“…Abstract Angiosperm trees develop tension wood on the upper side of leaning stems to reorient the direction of stems towards their normal positions in response to a gravitational stimulus. …”
Get full text

Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…Specifically, ANN models excel at detecting subtle, complex patterns that reflect battery health and performance, crucial for accurate SOC estimation. …”
Get full text

Integrating circuit theory and network modeling to identify ecosystem carbon sequestration service flow networks by Chen Qu, Jia Xu, Wen Li, Yucen Zhai, Yiting Wang, Baozhu Liu, Shaoning Yan

Get full text

Visible and Near-Infrared Reflectance Spectroscopy for Investigating Soil Mineralogy: A Review by Qian Fang, Hanlie Hong, Lulu Zhao, Stephanie Kukolich, Ke Yin, Chaowen Wang

“…We then review common methods to process soil VNIR spectra and summary spectral features of soil minerals with particular attention to those <2 μm fractions. …”
Get full text

Application of artificial intelligence in modern healthcare for diagnosis of autism spectrum disorder by Abdullah H. Al-Nefaie, Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Theyazn H. H. Aldhyani, Sultan Ahmad, Eidah M. Alzahrani

“…Children with ASD have difficulties with social interaction, language development, and behavioral regulation. ASD is a mental condition characterized by challenges in communication, restricted behaviors, difficulties with speech, non-verbal interaction, and distinctive facial features in children. …”
Get full text

Müllerian papilloma: two case reports of malignant transformation and literature review by Sirong Tao, Yan Zhang, Wei Wang, Wei Wang, Ying He, Lili Jiang

Get full text

Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
Get full text

Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
Get full text

Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…Visualization of the relationships between numerical features also reveals significant correlation patterns between physiological variables and patient anxiety levels. …”
Get full text

5-Methylcytosine methylation predicts cervical cancer prognosis, shaping immune cell infiltration by Luyang Su, Ren Xu, Yanan Ren, Shixia Zhao, Liyun Song, Cuiqiao Meng, Weilan Liu, Xuan Zhou, Zeqing Du

“…Conclusions This research underscores the key role of 5-methylcytosine modification patterns in cervical cancer. Analysis of these patterns will deepen our understanding of the cervical cancer tumor microenvironment, paving the way for the development of more refined and effective immunotherapy strategies.…”
Get full text