Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

“…However, using wind power is challenging due to the variability and unpredictability of wind patterns. Consequently, the ability to predict wind power in advance is crucial. …”
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Full-Wave Analysis of Periodic Baffle System in Beamforming Applications by Yuriy TASINKEVYCH, Eugeniusz DANICKI

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Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations by Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, Heera Lee

“…Recent technologies offer alternative indicators, such as social media data, to identify popular locations and their features. This study demonstrates how large volumes of citizen science and social media data can be analyzed to reveal patterns of human interactions with nature through unconventional, scalable methods. …”
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Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

“…Using the IoT23 dataset, which contains a wide range of network traffic patterns from various IoT devices and malware families, the research explores and evaluates multiple machine learning techniques. …”
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Network level spatial temporal traffic forecasting with Hierarchical-Attention-LSTM by Tianya Zhang

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An integrative conservation and management strategy based on biological and cultural diversity assessment: A case study of Miaoling mountainous region, China by Xiaoqi Li, Jiaojiao Zhu, Xinyi Lyu, Yiyun Sun, Chuandong Tan, Bin Zhang, Paolo Tarolli, Qichi Yang

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Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…A hybrid network combining long short-term memory (LSTM) and convolutional neural networks (CNN) was developed to extract long-distance dependencies as well as local patterns from DNA sequences. …”
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Morphological and immunohistochemical analysis in encapsulated follicular variant papillary thyroid carcinoma, invasive follicular variant papillary thyroid carcinoma and a new ent... by Zeliha Çelik, Naile Kökbudak, Fahriye Kilinç, Pembe Oltulu

“…Non-invasive follicular thyroid neoplasm with papillary nuclear feature (NIFTP) is a new entity identified as a result of studies in recent years. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…The approach also incorporates an adaptive sampling rate with hierarchical dynamic position embeddings for context-aware multi-scale feature extraction. Feature channels are partitioned into specialized groups via an offset group mechanism to improve feature diversity, and a hierarchical deformable attention strategy further integrates local and global contexts to yield refined feature representations. …”
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Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures Valor prognóstico do EEG com padrão de surto-supressão não reativo associado a... by Magda Lahorgue Nunes, Maria Margarida Giraldes, Ana Paula Pinho, Jaderson Costa da Costa

“…However, there are consistent background EEG abnormalities associated to neonatal seizures that are usually related to unfavorable outcome as the burst - suppression pattern. OBJECTIVE: The objective of this study was to correlate clinical and EEG features associated to long - term outcome of newborns with non - reactive burst - suppression (BS) EEG. …”
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Emergence of planar cell polarity from the interplay of local interactions and global gradients by Divyoj Singh, Sriram Ramaswamy, Mohit Kumar Jolly, Mohd Suhail Rizvi

“…While the roles of various molecules – broadly classified into ‘global’ and ‘local’ modules – have been well-studied, their necessity and sufficiency in explaining PCP and connecting their perturbations to experimentally observed patterns have not been examined. Here, we develop a minimal model that captures the proposed features of PCP establishment – a global tissue-level gradient and local asymmetric distribution of protein complexes. …”
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Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…We propose a method for synthesizing the array antenna’s radiation pattern using an active element pattern-deep neural network (AEP-DNN). …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

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The Seismic Surface Rupture Zone in the Western Segment of the Northern Margin Fault of the Hami Basin and Its Causal Interpretation, Eastern Tianshan by Hao Sun, Daoyang Yuan, Ruihuan Su, Shuwu Li, Youlin Wang, Yameng Wen, Yanwen Chen

“…The Eastern Tianshan region, influenced by the far-field effect of northward compression and expansion of the Qinghai-Xizang block, features highly developed Late Quaternary active faults that exhibit significant neotectonic activity. …”
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Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts by Naresh Purohit, Subhash Panwar

“…To capture and categorize feature information, a multi-path CNN with a Bidirectional Long Short Term Memory (Bi-LSTM) module is developed. …”
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Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

“…This improvement stems from the model’s ability to decode localized heating patterns and their hysteresis effects, which are particularly pronounced in aged batteries. …”
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Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade by Zifu Wang, Meng-Hao Li, Patrick Baxter, Olzhas Zhorayev, Jiaxin Wei, Valerie Kovacs, Qiuhan Zhao, Chaowei Yang, Naoru Koizumi

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Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Ko... by Kin On Kwok, Bahman Davoudi, Steven Riley, Babak Pourbohloul

“…Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. …”
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