ABCDM : an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik, Acharya, U. Rajendra

“…Sentiment analysis has been a hot research topic in natural language processing and data mining fields in the last decade. Recently, deep neural network (DNN) models are being applied to sentiment analysis tasks to obtain promising results. …”
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Plant-inspired multi stimuli and multi temporal morphing composites by Le Ferrand, Hortense, Riley, Katherine S., Arrieta, Andres F.

“…This feature enabled the study of plant-inspired complex designs, via finite element analysis and experiments. We present the design and fabrication strategy utilizing the material properties of the composites. …”
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Foreign language learning in the age of the internet: A comparison of informal acquirers and traditional classroom learners in central Brazil by Cole, J

“…</p> <p>The findings challenge dominant paradigms in several fields of SLA which prioritize expert regulation over independent discovery and controlled, collaborative environments over real-world contexts of use entered into for personal reasons.…”

Elucidating the mechanism of mRNA transport using novel imaging technologies by Stoychev, D

“…I begin to fill this technological gap by assessing and applying state-of-the-art methods from the fields of microscopy and image processing. This includes the use of adaptive optics for aberration correction and for remote (optical) focusing, 3D structured illumination microscopy for optical sectioning and for super-resolution, and the development of an open-source software platform that can enable all this functionality in fast complex experiments. …”

Tangible Telepresence: Distributed and Synchronous Tangible Interfaces for Enhancing Interpersonal Connectedness over Time and Space by Choi, Kyung Yun

“…This research contributes to the fields of Tangible User Interfaces and interpersonal communication by providing a new approach to expanding remote interpersonal communication media through playful gestural engagement. …”
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Recovery of Herschel-Bulkley Fluid Parameters from Video via Differentiable Simulations by Eastman, John M.

“…This work introduces a novel method that combines neural radiance fields (NeRF), which map 3D scene coordinates to color and density using deep neural networks, with the material point method (MPM), a simulation technique that represents materials as moving points capable of large deformation. …”
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Dynamical and statistical properties of anyons in fractional quantum hall effect by Ha, Quang Trung

“…The quantum Hall effect has been the prototypical example for many emerging fields of Physics, including the study of topological phases of matter, topological order, and topological insulators. …”
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FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation by Xiao, Aoran, Yang, Xiaofei, Lu, Shijian, Guan, Dayan, Huang, Jiaxing

“…Specifically, we design a residual dense block with multiple receptive fields as a building block in the encoder which preserves detailed information in each modality and learns hierarchical modality-specific and fused features effectively. …”
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A deep learning-based approach for the detection of various Internet of Things intrusion attacks through optical networks by Imtiaz, Nouman, Wahid, Abdul, Abideen, Syed Zain Ul, Kamal, Mian Muhammad, Sehito, Nabila, Khan, Salahuddin, Virdee, Bal Singh, Kouhalvandi, Lida, Alibakhshikenari, Mohammad

“…The widespread use of the Internet of Things (IoT) has led to significant breakthroughs in several fields but has also caused a sharp increase in cybersecurity risks. …”
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Two-dimensional metal-organic frameworks for gas sensing by Lister, AM

“…This method successfully generates uniform distributions of the desired MOFs in situ on glass, gold, paper and cotton substrates, and is therefore anticipated to be a significant finding in the fields of wearable electronics, chemiresistive sensors and capacitor devices.…”

Towards deep neural networks robust to adversarial examples by Matyasko, Alexander

“…We make original contributions to both fields of research. First of all, we establish a connection between classifier margin and its robustness. …”
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Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

“…Differential-drive robots have become increasingly prevalent within human society and have become an essential tool in various industries and fields, such as manufacturing, healthcare, and entertainment. …”
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Feature extraction from EEG signals and regularization for brain-computer interface by Mishuhina, Vasilisa

“…Similarly, there are several emerging applications in other fields of gaming, security, and education. At present, there are several techniques available to acquire brain signals. …”
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新加坡华人对中国的贡献 ：新加坡城市规划之父刘太格个案研究 = Contributions of Singaporean Chinese to China : a case study on Singapore’s father of city planning Liu Thai Ker... by 冯时辉 Phang, Shi Hwee

“…Liu Thai Ker ‘s urban planning experience and aims to fill an important academic gap - attempting to understand and explore the contributions of Singaporean Chinese in the context of rising urban disease in China. …”
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Towards optimal scheduling of deep learning training jobs in GPU clusters by Gao, Wei

“…Deep Learning (DL) manifests as a groundbreaking technology, revolutionizing numerous fields. This paradigm shift has fueled an ever-growing demand for training DL models, leading to the development of hyperscale GPU clusters. …”
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Health monitoring, lifetimes estimation, and thermal management of IGBT-based power converters by Mohamed Halick Mohamed Sathik

“…As power electronics systems, have gained an important status in a wide range of industrial fields, reliability and availability of these units are of paramount importance in order to meet stringent requirements spelled in aviation and industrial standards. …”
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