Results 111 to 120 of about 47,700 (259)
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: The project's novelty is not merely importing modules and preparing data and feeding the data to the model but understanding how the real language translation works and implementing the logics underlying each method utilized and creating every function from scratch, resulting in the creationof a Neural Machine Translation model.
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Chinese-English machine translation model based on transfer learning and self-attention
Journal of Applied Science and EngineeringWith the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
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Neural Machine Translation for Indian Languages
Journal of Intelligent Systems, 2019 Machine Translation bridges communication barriers and eases interaction among people having different linguistic backgrounds. Machine Translation mechanisms exploit a range of techniques and linguistic resources for translation prediction.
Pathak Amarnath, Pakray Partha
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Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture
Advanced Functional Materials, EarlyView.This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li +12 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Domain robustness in neural machine translation
CoRR, 2019 Translating text that diverges from the training domain is a key challenge for machine translation. Domain robustness---the generalization of models to unseen test domains---is low for both statistical (SMT) and neural machine translation (NMT). In this paper, we study the performance of SMT and NMT models on out-of-domain test sets.
Müller, Mathias +2 more
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Advanced Healthcare Materials, EarlyView.We introduce a new fabrication method that overcomes the current limitation of tubular gap electrospinning. We successfully fabricated a seamless hollow tube with fibers aligned along the longitudinal axis in diameters as small as 300 µm, and then reinforced it using 4‐axis 3D printing.
Seyed Aliakbar Hosseini Toopghara +9 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco +7 more
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Multimodal Attention for Neural Machine Translation
CoRR, 2016 10 pages, under review COLING ...
Caglayan, O, Barrault, L, Bougares, F
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Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source