Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit by Hyungjun Kim, Hyungjun Kim, Min Kim, Da Young Kim, Dong Gi Seo, Ji Man Hong, Ji Man Hong, Dukyong Yoon, Dukyong Yoon

“…We observed that the patterns of dynamic features, including BT, SpO2, RR, and Heart Rate Variability (HRV) kept changing as the time points were getting closer to the delirium occurrence time. …”
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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…To date, the latter two key features are critically missing from the toolbox of artificial spiking neural network hardware, hindering the development of scalable and sustainable artificial intelligence (AI) platforms. …”
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Toward the classification of social media use disorder: Clinical characterization and proposed diagnostic criteria by Tania Moretta, Elisa Wegmann

“…However, social media use disorder is not currently recognized as an official disorder in major diagnostic systems, limiting comparability among studies, precise prevalence estimation, and ad-hoc preventive and treatment program development. The present work aims to classify social media use disorder as a pathological condition sharing main mechanisms and maladaptive patterns with addictive behaviors. …”
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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). …”
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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

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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. …”
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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…However, it is still a challenging mission to develop a model with high predictability that captures the horizontal‐vertical features of ionospheric electrodynamics. …”
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Genome-Wide Identification and Expression Analysis of the G-Protein Gene Family in Barley Under Abiotic Stresses by Ailing Han, Zhengyuan Xu, Zhenyu Cai, Yuling Zheng, Mingjiong Chen, Liyuan Wu, Qiufang Shen

“…Heterotrimeric G-proteins are fundamental signal transducers highly conserved in plant species, which play crucial roles in regulating plant growth, development, and responses to abiotic stresses. Identification of G-protein members and their expression patterns in plants are essential for improving crop resilience against environmental stresses. …”
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Predictive power demand for energy management of hybrid electric tractors by Christian Varlese, Johannes Konrad, Thomas Volf, Dominik Brunner, Christoph Hametner, Peter Hofmann

“…As agricultural duty cycles exhibit recurrent patterns, precise load forecasting can be achieved through non-linear models. …”
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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. …”
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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. …”
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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. …”
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Müllerian papilloma: two case reports of malignant transformation and literature review by Sirong Tao, Yan Zhang, Wei Wang, Wei Wang, Ying He, Lili Jiang

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Service Innovation in the Twenty First Century by Ian Miles

“… This paper is an evaluation of service sector innovations. It reviews the development of innovations in the sector, including innovation across services and the promotion of new services, and patterns of management and service design. …”
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Classification of musculoskeletal pain using machine learning by Dalia Mohamed Fouad, Marwa Mahmoud Mahfouz, Mohammed Mostafa Mohamed, Mahmoud Yassin Elzanaty, Tarek Abd El-Hafeez

“…By integrating PSO with neural networks, this framework aims to enhance the detection of pain risk patterns, offering insights into the interplay between various factors and musculoskeletal health. …”
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Pegmatites of the Larsemann Hills oasis, East Antarctica: new field geological and geophysical data by Ivan A. Babenko, Irina V. Talovina, Dmitrii E. Ushakov, Nikita S. Krikun

“…These include borosilicate D2-3 pegmatites, rare-metal D4 pegmatites, muscovite-bearing post-D4 pegmatites, as well as two newly identified types not previously described in the region: K-feldspar D4' pegmatites and miarolitic rare-metal post-D4' pegmatites, which differ in morphology, mineralogy, and geochemical features. Special attention is given to the structural-tectonic control of pegmatite bodies, their geological setting, zoning patterns, and the results of gamma spectrometric and magnetic surveys. …”
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Investigating the role of thrombosis and false lumen orbital orientation in the hemodynamics of Type B aortic dissection by Joseph C. E. Messou, Kelly Yeung, Eric Sudbrook, Jackie Zhang, Shahab Toursavadkohi, Areck A. Ucuzian, Eleonora Tubaldi

“…Abstract While much about the fundamental mechanisms behind the initiation and progression of Type B aortic dissection (TBAD) is still unknown, predictive models based on patient-specific fluid-structure interaction (FSI) simulations can help in risk stratification and optimal clinical decision-making. Aiming at the development of personalized treatment, FSI models can be leveraged to investigate the interplay between complex aortic flow patterns and anatomical features, while considering the deformation of the arterial wall and the dissection flap. …”
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Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…Abstract This study aims to develop intelligent gymnastics teaching model based on Artificial Neural Network (ANN). …”
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BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…The BCINetV1 utilizes three innovative components: a temporal convolution-based attention block (T-CAB) and a spectral convolution-based attention block (S-CAB), both driven by a new convolutional self-attention (ConvSAT) mechanism to identify key non-stationary temporal and spectral patterns in the EEG signals. Lastly, a squeeze-and-excitation block (SEB) intelligently combines those identified tempo-spectral features for accurate, stable, and contextually aware MI EEG classification. …”
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