Results 111 to 120 of about 131,083 (291)

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics

Advanced Robotics Research, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod, Sena Chon, Jae Hyuk Hwang, Sung Hyuk Park, Woohwa Lee, Joonmyung Choi, Shi Hyeong Kim, Seung Hwan Ko, Changsoon Choi, Seon Jeong Kim, Dong‐Gyun Kim, Habeom Lee, Kyung Gook Cho, Woon‐Hong Yeo, Hyun Kim   +14 more
wiley   +1 more source

Creating Personalized Higher Education Teaching System Using Fuzzy Association Rule Mining

International Journal of Computational Intelligence Systems
Universities and colleges aim to provide students with a solid academic foundation. Quality instruction is one strategy for achieving the highest possible standard in the higher education system.
Dezhi Li
doaj   +1 more source

Mining Linguistic Associations for Emergent Flood Prediction Adjustment

Advances in Fuzzy Systems, 2013
Floods belong to the most hazardous natural disasters and their disaster management heavily relies on precise forecasts. These forecasts are provided by physical models based on differential equations. However, these models do depend on unreliable inputs
Michal Burda, Pavel Rusnok, Martin Štěpnička   +2 more
doaj   +1 more source

Single‐Cell Computational Frameworks for Quantifying BET Bromodomain Inhibitor Resistance and Screening Re‐Sensitizer Drugs in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
To combat BET inhibitor resistance in triple‐negative breast cancer, we developed two single‐cell computational frameworks. FR20 quantifies resistance by integrating ferroptosis‐related gene signatures, while D‐FR20 screens for potential re‐sensitizers.
Haizhou Liu, Mengqin Yuan, Yini Shang, Jiahao Chen, Fei Hou, Lihong Wang, Wei Jiang   +6 more
wiley   +1 more source

Applying Fuzzy Fp-Growth To Mine Fuzzy Association Rules

, 2010
{"references": ["Agrawal, R. and Srikant, R., \"Fast algorithms for mining association\nrules,\" in Proceedings of 1994 International Conference on Very Large\nData Bases, pp.487-499, 1994.", "Berry, M. and Linoff, G., Data Mining Techniques: for marketing, sales,\nand customer support, John Wiley & Sons, NY, 1997.", "Chen, S. M., Jong, W.
Chien-Hua Wang, Wei-Hsuan Lee, Chin-Tzong Pang   +2 more
openaire   +1 more source