Results 71 to 80 of about 385 (164)

ÐаÑемлена гÑижа пеÑеднÑÐ¾Ñ ÑеÑÐµÐ²Ð½Ð¾Ñ ÑÑÑнки з ÑÑмнÑÐ²Ð½Ð¾Ñ Ð¶Ð¸ÑÑÑздаÑнÑÑÑÑ ÑÐ¾Ð½ÐºÐ¾Ñ ÐºÐ¸Ñки: Ñи Ñ Ð°Ð»ÑÑеÑнаÑива ÑезекÑÑÑ?.

, 2013
В. П. Андрющенко, Ю. Ф. Кушта   +1 more
openalex   +2 more sources

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

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, 2015
Р. О. Білоруський, Ю. Б. Борис, В. В. Дмитріенко   +2 more
openalex   +2 more sources

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

ÐлекÑÑодинамика и пÑинÑÐ¸Ð¿Ñ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ

, 2017
Виктор Сергеевич Макаров
openalex   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Ðнализ влиÑÐ½Ð¸Ñ ÑезÑлÑÑаÑов деÑÑелÑноÑÑи доÑеÑÐ½Ð¸Ñ Ð¾ÑганизаÑий на показаÑели ÑинанÑовой оÑÑеÑноÑÑи Ñ Ð¾Ð»Ð´Ð¸Ð½Ð³Ð°

, 2017
Елизавета Вадимовна Попкова
openalex   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

ÐовÑÑÐ½Ñ Ð²Ð¿ÑÐ¾Ð²Ð°Ð´Ð¶ÐµÐ½Ð½Ñ Ð² педагогÑÑний пÑоÑÐµÑ Ð²Ð¸ÐºÐ»Ð°Ð´Ð°Ð½Ð½Ñ ÑадÑологÑÑ Ð½Ð° ÑÑеÑÑÐ¾Ð¼Ñ ÐºÑÑÑÑ Ð¼ÐµÐ´Ð¸Ñного ÑакÑлÑÑеÑÑ

, 2015
І. М. Леськів І. В. Жулкевич І. Й. Галайчук, Н. О. Загурська   +1 more
openalex   +2 more sources

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source